When you have the task of looking through so many resumes, you’re not only looking for candidates with the most experience or best skills, but you’re also looking for something that makes them stand out. That is especially true when applying for jobs in the creative industry.

And that is why resume design has such an important role in the application process.

There are plenty of web-based services for creating a resume, and yes, the internet is chock full of basic resume templates. However, not many of those have been designed with creativity in mind. They certainly don’t consider modern design trends or the competitiveness of applying for a creative role.

The free resume templates for designers we have for you are the perfect starting points for creating a CV that will help you stand out and land your dream job. They have all been created by designers for designers.

Which Resume Template Format Should You Choose?

The right format depends on the application you prefer to work in and how the finished resume will be submitted. Some formats give you greater control over the layout, while others make ongoing edits easier.

• Figma: A good choice for designers who want browser-based editing, familiar layout controls, and easy PDF export.
• InDesign: Best suited to detailed page layouts, precise typography, and resumes with matching cover letters or portfolio pages.
• Illustrator: Useful for highly visual designs and custom vector graphics, although editing longer sections of text can be less convenient.
• Photoshop: Suitable for image-led layouts, but it is not always the best option for a text-heavy resume.
• Microsoft Word: Practical for frequent updates and applications that request a DOCX file. Word templates may also be easier for recruiters to open and review.

Check the required application version, included fonts, and available file types before downloading. If a template includes several formats, choose the one you already know well.

Free to Download and in Photoshop PSD Format

The Neat Resume is a contemporary, highly customizable free template with an eye-catching header, well-organized content sections, and a clean, minimalist design that focuses on beautiful typography.

In Photoshop PSD, AI & InDesign Formats

This resume template prioritizes readability, making it a polished option for creating a professional resume. In addition to a resume template, you will also get a cover letter and a printable portfolio template.

Free to Download and in Figma Format

This free resume template is simple and minimalist, with well-organized and spacious content sections. It is fully customizable in Figma, with editable colors, fonts, and layout.

In Word, Photoshop PSD, AI & InDesign Formats

This highly creative resume template features a clean, minimalist design and clearly labeled, organized layers, making it easy to customize in your favorite application.

Free to Download and in Figma Format

This professional resume template focuses on beautiful typography and perfectly laid-out content sections. In addition to the resume template, you will also get a printable portfolio template designed in the same clean style.

In Photoshop PSD, AI & Word Formats

This modern resume template has a minimalist layout with a focus on big and bold typography. It’s fully customizable to match your personal branding and includes sections for education, work experience, and skills. It also comes with a matching cover letter template.

Free to Download and in InDesign Format

This free resource is a highly customizable resume and cover letter template with a minimalist, professional design and well-organized sections to highlight your skills, education, and experience.

In Word, AI & InDesign Formats

With its focus on creativity, this resume template is perfect for designers and creatives who want to create a polished and highly professional resume.

Free to Download and in Sketch & Photoshop PSD Formats

This free resume template has a simple and stylish design, well-organized sections, and customizable Sketch and Photoshop files. Its attention to detail and readability make it an excellent option for creating a professional-looking resume.

Free to Download and in Figma Format

This free resume template has been designed for UX and UI roles with plenty of space for projects and skills. Built in Figma for easy editing. It is perfect for portfolios and product design roles.

Free to Download and in Illustrator AI Format

Whether you’re looking for your first creative job or a professional looking to update your resume, this free and highly customizable minimalistic resume is all you need to make a memorable first impression.

Free to Download and in Photoshop PSD, Sketch & Word Formats

Clean, colorful, and highly customizable, this free template is an excellent choice for creative job seekers and professionals who need to create or update their resumes quickly.

Free to Download and in Figma Format

This is a collection of 20 modern, minimally designed resume templates. All templates focus on clarity and readability, making them an excellent option for creating a professional resume in Figma.

Free to Download and in Figma Format

This collection of five free Figma resume templates features bold typography, eye-catching graphics, and minimalist layouts. It is perfect for designers, developers, and marketers looking to create a professional resume.

Free to Download and in Figma Format

This spacious resume template features a black-and-white color scheme and is perfect for highlighting your work experience, portfolio, education, and contact information.

Free to Download and in Word & InDesign Formats

Make a great first impression with this resume template, which features bold and beautiful typography. It can be edited in InDesign or Microsoft Word.

Free to Download and in Word & InDesign Formats

This minimalistic resume template has a clean design and a two-column layout. It also has plenty of room for your profile photos. This free template can be edited in InDesign and Word.

Free to Download and in Illustrator AI Format

This two-page resume template features a bold design that’s perfect for promoting your skills and projects. It can be edited in Illustrator.

Free to Download and in Photoshop PSD Format

If you want a creative resume design, take a look at this resume template. You can edit it in Photoshop and use it to apply for a job in any creative field.

Free to Download and in Photoshop PSD Format

This resume template has a clean, two-column layout that’s easy to edit. The template has been designed in Photoshop and comes with well-organized layers.

Free to Download and in Photoshop PSD Format

Check out this resume template featuring an elegant and minimalist design. This Photoshop PSD template includes a one-page resume layout and well-organized layers for easy editing.

Free to Download and in Illustrator AI Format

This resume was designed in Illustrator and contains a two-page resume and a matching cover letter template. Thanks to its minimal design, it can be used for any type of job application.

Free to Download and in Photoshop PSD & Illustrator AI Formats

This stunning resume template will capture the attention of any employer. It has a beautiful header section and uses modern, clean typography that makes an impact.

Free to Download and in Illustrator AI Format

This clean resume template has a standard two-column layout. In the larger column, you can showcase your education and work history. In the sidebar, you can share your contact information and skills. This template can be edited in Illustrator.

What to Include in a Designer Resume

A designer resume should communicate your experience quickly while giving recruiters a clear route to your work. There is no need to fill every available section if the information does not support the role.

• Name and role: State your name and the type of design position you are applying for.
• Contact details: Add a professional email address, phone number, and general location. A full postal address is rarely needed.
• Portfolio link: Place a direct link near the top of the page so it is easy to locate.
• Professional profile: Write a brief overview of your experience, specialisms, and the type of work you do.
• Work experience: List relevant roles in reverse chronological order. Include results and responsibilities rather than a list of routine tasks.
• Selected projects: Mention relevant client, freelance, or personal projects when they add useful context.
• Design skills: Include methods, disciplines, and applications that relate directly to the position.
• Education and training: Add relevant qualifications, courses, and certifications without giving them more space than your professional work.

References can be supplied when requested, so they do not need to take up room on the resume.

Final Recommendations

Choose a template that suits both your experience and the position. A recent graduate may need more room for education and selected projects, while an experienced designer will probably want greater space for employment history and results.

Treat the template as a starting point. Replace every piece of sample content, remove sections you do not need, and adjust the type sizes and spacing around your own information. Check that links work, dates follow a consistent format, and the smallest text remains comfortable to read.

Before sending the resume, review it at its actual size and ask someone else to proofread it. Export a PDF for direct applications, but keep an editable copy for future updates. If a recruitment portal requests a particular file type, follow that instruction rather than submitting the most decorative version.

A restrained design with clear information will usually serve you better than a complicated layout. The resume should give employers a useful overview of your experience, while your portfolio provides the fuller picture of your design work.

Read more articles by Paul Andrew

The post 20+ Best Free Resume Templates for Creatives in 2026 appeared first on The NOKIA Blog.

During my time at AWS, I have always looked for opportunities to work with students. I have delivered over 50 talks at universities across the region, and watching the potential in the room is always a strong motivator. It reminds me of why I do this work, and that the students I meet today may well become our customers and collaborators tomorrow. That is why I am happy to open this week with Student Rewards on AWS Builder Center.

Rick Suttles published Introducing Student Rewards on AWS Builder Center, a new benefit for verified higher education students. When you verify your enrollment through SheerID and complete your Builder Center profile, you unlock 12 months of premium AWS Skill Builder access (900+ courses, hands-on labs, certification exam prep, and game-based learning). From there, you earn badges through actions on Builder Center: publishing articles, commenting, and maintaining engagement. At 7 badges, you unlock $10 in AWS Credits. At 14 badges, another $20 in credits. At 21 badges, you earn an AWS Foundational Certification exam voucher ($100 value).

This represents a commitment of over $500 million in resources during this back-to-school season, providing students with the training, tools, and certification needed to start building their careers in cloud and AI. Student Rewards is available to students 18 years or older and enrolled at accredited higher education institutions worldwide, subject to verification and applicable terms.

Verify your student status and start learning, earning badges, and unlocking rewards!

Last week’s launches
Here’s what else happened this week.

• A new AWS Local Zone in Las Vegas, Nevada – This new Local Zone supports Amazon EC2 C7i, M7i, R7i, and C8gn instances, Amazon EBS, Amazon ECS, Amazon EKS, Application Load Balancer, and AWS Direct Connect. AWS Local Zones are now available in more than 30 metropolitan areas worldwide. In addition, AWS added a fourth Availability Zone to the Europe (London) Region, delivering next-generation AI and ML capacity with Trn3 and P6 accelerated instances alongside general-purpose compute.
• Amazon EC2 Auto Scaling now supports batch instance termination – You can now pass up to 100 instance IDs to the TerminateInstanceInAutoScalingGroup API to terminate them as a batch, reducing the number of API calls needed to scale down your Auto Scaling groups. Batch termination is designed for workloads that need to rapidly scale down, such as AI/ML training jobs, container orchestrators, or event-driven architectures that spin up large fleets temporarily.
• AWS CloudShell now includes a built-in visual file editor – CloudShell now includes a visual file editor that you can launch directly from your shell session using a single edit command. The editor supports syntax highlighting, find-and-replace, multi-line selection, copy-paste, and undo-redo in a single browser session. Whether you are updating a deployment script, modifying an agent steering file, editing a CloudFormation template, or fixing a Lambda function, the editor provides a seamless edit-and-run experience without leaving CloudShell.
• Amazon Bedrock now supports SpaceXAI Grok 4.6 with cross-Region inference – Grok 4.6, a frontier model built for coding, agentic tasks, and knowledge work, is now available on Amazon Bedrock. The model runs on the bedrock-runtime endpoint with support for the Responses, Chat Completions, and Converse APIs, and works with existing account-level controls including model invocation logging, Amazon CloudWatch metrics, and cost itemization in AWS Cost Explorer.
• Amazon Bedrock expands API support and introduces cross-Region inference for OpenAI models – Amazon Bedrock now supports OpenAI GPT-5.6 models (Sol, Terra, and Luna) with the Responses, Converse, and Chat Completions APIs, and adds cross-Region inference. Geo cross-Region inference routes requests within a predefined geography (including new US Geo support with this launch), while Global cross-Region inference serves requests from any commercial AWS Region at a lower per-token cost.
• AgentCore payments is now generally available in Amazon Bedrock AgentCore – At general availability, AgentCore payments includes Quick Create for Coinbase credential provisioning directly within the AgentCore console, a curated Coinbase Bazar MCP server of pay-per-use x402 endpoints via AgentCore gateway, support for the Machine Payment Protocol (MPP), and the “upto” scheme in the x402 protocol for pay-per-inference and dynamic pricing use cases. To learn more, visit the AI Blog post.
• AWS Glue 6.0 delivers 30% price reduction and Iceberg v3 support – AWS Glue 6.0 is built on a fully modernized runtime, Apache Spark 4.1, Python 3.13, and Scala 2.13, delivering 30% lower pricing than previous AWS Glue versions. With Iceberg v3, Glue 6.0 adds the VARIANT data type with automatic shredding for faster reads on semi-structured data, deletion vectors for high-performance row-level updates, geometry and geography data types for spatial processing, and flexible schema evolution.

For a full list of AWS announcements, be sure to keep an eye on the What’s New with AWS page.

Other AWS news
Here are some additional posts you may find useful:

• Updates to your AWS Sign-In experience – AWS is gradually introducing updates to the sign-in and sign-up experience. The redesigned sign-in page introduces a unified email entry point for root users and customers using the new email-based sign-in method, while IAM users continue signing in with their account ID, username, and password. The page also includes sign-in options for customers whose AWS account was created using a supported identity provider (Google, GitHub, Apple, or Amazon.com). A redesigned session selection page simplifies viewing and managing multiple active account and role sessions. If your organization relies on browser automation or scripted workflows that interact with the sign-in page, review the post to understand how these changes might affect your configuration.
• In the works: AWS Builder Lofts in Berlin, Hyderabad, and São Paulo – My colleague Channy announced plans to open new Builder Lofts in three cities. Since the first Builder Loft opened in San Francisco in July 2025, it has welcomed more than 22,500 developers through its doors. Each new location will be a permanent community space offering free workshops, networking events, pitch nights, content creation spaces, and co-working areas. Berlin will focus on digital sovereignty and security-readiness, Hyderabad on AI and cloud-native architecture, and São Paulo on supporting Latin America’s developer ecosystem.
• AWS and Amazon WorkSpaces recognized as a Leader in the 2026 Gartner Magic Quadrant for Desktop as a Service – AWS has been named a Leader in the 2026 Gartner Magic Quadrant for Desktop as a Service (DaaS) for the third consecutive year, evaluated on Completeness of Vision and Ability to Execute. Gartner noted strengths in operations, geographic strategy, and overall viability. This is also the first year the evaluation includes Amazon WorkSpaces for AI agents, a capability that runs AI agents within the same desktop environment, security perimeter, and audit trail as human users.

For a full list of AWS blog posts, be sure to keep an eye on the AWS Blogs page.

Upcoming AWS events
Check your calendar and sign up for upcoming AWS events:

• AWS Summits – Free in-person events for builders and innovators to learn, connect, and explore the latest in cloud. Coming up: Zurich (September 2), São Paulo (September 3), Tel Aviv (September 10), and Dubai (September 30). You can also watch keynotes and sessions on the AWS Summits Global Livestream + On-Demand Hub. To access live and on-demand content for a particular Summit, you need to be registered for that event.
• AWS Community Days – Community-led conferences planned and delivered by community leaders. Upcoming events include Bolivia, Santa Cruz (August 29), Toronto, Canada (August 29), JAWS SONIC, Tokyo (September 5), Warsaw, Poland (September 8).

Visit the AWS Builder Center to meet other builders, contribute solutions, and find resources that help you keep building.

Summer is slowly coming to an end, and I am already planning a few days off in the coming months to keep me motivated through the rainy autumn ahead. I hope you are doing the same. Come back next week for more!

— Esra

The post AWS Weekly Roundup: Student Rewards on AWS Builder Center, Local Zone in Las Vegas, and more (August 24, 2026) appeared first on The NOKIA Blog.

We’re excited to welcome four outstanding community leaders as our newest AWS Heroes. These individuals embody the spirit of collaboration and knowledge sharing that makes the AWS community thrive. From building AI-powered tools that help fellow builders navigate AWS re:Invent, to leading some of the largest AWS communities in Latin America, to sharing deep cloud architecture expertise across blogs and events. Their dedication to lifting others up through education, mentorship, and community organizing inspires builders around the world.

Damiano Giorgi – Pavia, Italy

Artificial Intelligence Hero Damiano Giorgi is a Cloud Solutions Architect focused on AI and its evolution, who transitioned from on-premises (on-prem) systems engineering to AWS and never looked back. He helps organize AWS User Group Pavia and AWS User Group Milan, and shares content on his personal blog, “Bass and Bytes.” Damiano developed the “Unofficial post:Invent Session Suggester,” powered by Amazon Bedrock and Amazon Nova, to help builders find AWS re:Invent sessions matching their interests. He speaks at conferences across Europe including AWS Summit Milan, AWS Community Day Italy, Adria, Greece, and the Netherlands.

Darryl Ruggles – Ottawa, Canada

Serverless Hero Darryl Ruggles is a Cloud Solutions Architect who spent many years as a software developer before focusing on AWS application and AI/ML architectures. He shares knowledge across serverless, containers, AI/ML, and FinOps through his blog, LinkedIn, and published projects. Darryl is an active member of many online AWS communities including “Believe In Serverless” and loves interacting with the community at events both online and in person.

Ricardo Daniel Ceci – Buenos Aires, Argentina

Artificial Intelligence Hero Ricardo Daniel Ceci leads the AWS User Group Buenos Aires, which is the largest AWS community in Argentina with nearly 2,400 members. He is also the principal organizer of the AWS Community Day Argentina and was recognized as the AWS Community Leader of the Year 2025 for LATAM. Ricardo hosts a podcast featuring conversations with cloud experts, AWS Heroes, and developer advocates across Latin America. He has over fifteen years of experience in cloud and web development, and is passionate about empowering Spanish-speaking builders and lowering the barrier to cloud and AI across LATAM.

Matias Kreder – Buenos Aires, Argentina

Artificial Intelligence Hero Matias Kreder is an AWS Certification Subject Matter Expert (SME) who contributed to multiple AI/ML certifications, including the AWS Certified AI Practitioner exam. His journey began with AWS DeepRacer where he qualified three times as a finalist, which sparked his community work organizing racing events and ML talks across the region. As an AWS User Group Leader for Buenos Aires, he organized the AWS Community Day Argentina 2025 and speaks at community events throughout LATAM.

Learn More

Visit the AWS Heroes webpage if you’d like to learn more about the AWS Heroes program, or to connect with a Hero near you.

— Taylor

The post Meet Our Newest AWS Heroes – May 2026 appeared first on The NOKIA Blog.

Just a year ago, we launched AWS Transform for .NET, Mainframe and VMware workloads, the first agentic AI service purpose-built for modernizing enterprise applications at scale. At re:Invent 2025, we introduced AWS Transform custom, which enables organizations to modernize and transform code at scale using AWS-managed and custom transformations. You can upgrade language versions, migrate frameworks, optimize performance, and analyze code bases using transformations that are ready to use or can be customized to meet your organization’s specific requirements. We also introduced full-stack Windows modernization capabilities and Reimagine capabilities and automated testing functionality for mainframe.

In 12 months, thousands of customers migrated hundreds of thousands of servers, saved 1.6+ million hours, and processed 4.5+ billion lines of code with AWS Transform. Celebrating its 1-year anniversary, AWS Transform agents now available in Kiro, Claude, Cursor, and Codex, including the agent builder toolkit Kiro power for building customized transformation agents.

To learn what happened in 12 months, the four things we learned, and how that evolved our roadmap, visit the one-year anniversary blog post.

Last week’s launches

Here are last week’s launches that caught my attention:

• The general availability of Claude Platform on AWS – You can get direct access to Anthropic’s native Claude Platform experience, including APIs, console, and early-access beta features, directly through your existing AWS account, without managing separate accounts, billing, or tracking. Claude Platform on AWS is operated by Anthropic, and customer data is processed outside the AWS security boundary. To learn more, visit the deep dive blog post.
• Amazon EC2 M3 Ultra Mac instances – These instances are built on Apple M3 Ultra Mac Studio computers featuring a 28-core CPU, 60-core GPU, 32-core Neural Engine, and 256GB of unified memory. Compared to EC2 M4 Max Mac instances, M3 Ultra Mac instances provide 2x the unified memory, 1.75x the CPU cores, 1.5x the GPU cores, and 2x the Neural Engine cores, giving Apple developers the headroom to run significantly more Xcode simulators in parallel and accelerate on-device ML workflows to improve product time to market.
• Amazon Redshift RG instances powered by AWS Graviton – These instances deliver better performance, running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 instances, at 30% lower price per vCPU. RG instances include Redshift’s custom-built vectorized data lake query engine that processes Apache Iceberg and Parquet data on your cluster nodes.
• Amazon Bedrock Advanced Prompt Optimization – You can optimize your prompts for any model on Bedrock, while comparing your original prompts to your optimized prompts across up to 5 models simultaneously. You can also use this if you are migrating to a new model or just want to get better performance on your current model.
• AWS Security Agent full repository code scanning (preview) – You can use a new capability in AWS Security Agent that performs deep, context-aware security analysis of your entire codebase. When vulnerabilities are found, the scanner generates code remediation—specific fixes tied to the exact file and line—enabling teams to remediate security vulnerabilities faster than ever before. This capability is available at no additional charge for existing AWS Security Agent customers during the preview.
• AWS Interconnect – multicloud connectivity with Oracle Cloud Infrastructure (preview) – You can quickly provision resilient, scalable private connections to other cloud providers using AWS Interconnect – multicloud connectivity. OCI is the latest CSP to adopt the open specification that powers AWS Interconnect. This allows AWS to provide a consistent, simple experience to our customers on OCI (preview), Google Cloud (generally available), and Microsoft Azure (coming later in 2026).

Additional updates

Here are some additional news items that you might find interesting:

• Accelerate AI research and education with Build on Trainium program – Read how the next generation of AI researchers is using Amazon chips to accelerate discovery. AWS invested $110 million to give university researchers access to purpose-built AI chips. AWS Trainium is speeding up AI research at UC Berkeley, MIT, Carnegie Mellon, and more. All research is open source, meaning improvements flow back to the broader developer community.
• A full list of AWS Community Days 2026 – There’s something different about an event where the speakers are your peers, the organizers are volunteers who do this out of passion, and the agenda was shaped by the community itself. That’s exactly what AWS Community Days are, and they’re happening in cities across every continent, every year.
• The Kiro Startups Credit program is back – Thousands of founders applied in the first round, and now applications are open again. Apply to receive up to one year of Kiro Pro+ credits automatically applied to your organization’s AWS account.

For a full list of AWS blog posts, be sure to keep an eye on the AWS Blogs page.

Learn more about AWS, browse and join upcoming AWS-led in-person and virtual events, startup events, and developer-focused events including AWS Summits. Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development.

That’s all for this week. Check back next Monday for another Weekly Roundup!

— Channy

The post AWS Weekly Roundup: AWS Transform at 1 year, Claude Platform on AWS, EC2 M3 Ultra Mac instances, and more (May 18, 2026) appeared first on The NOKIA Blog.

Last week, what excited me most was the launch of the 2026 AWS AI & ML Scholars program by Swami Sivasubramanian, VP of AWS Agentic AI, to provide free AI education to up to 100,000 learners worldwide. The program has two phases: a Challenge phase where you’ll learn foundational generative AI skills, followed by a fully funded three-month Udacity Nanodegree for the top 4,500 performers. Anyone 18 or older can apply, with no prior AI or ML experience required. Applications close on June 24, 2026. Visit the AWS AI & ML Scholars webpage to learn more and apply.

I’m also excited about the start of AWS Summit season, kicking off with AWS Summit Paris on April 1, followed by London on April 22. AWS Summits are free in-person events where builders and innovators can learn about Cloud and AI, think big, and make new connections. Explore the AWS Summits near you and join us in person.

Now, let’s dive into this week’s AWS news…

Last week’s launches

Here are last week’s launches that caught my attention:

• Announcing Amazon Aurora PostgreSQL serverless database creation in seconds — Amazon Aurora PostgreSQL now offers express configuration, a streamlined setup with preconfigured defaults that supports creating and connecting to a database in seconds. With just two clicks, you can launch an Aurora PostgreSQL serverless database. You can modify certain settings during or after creation.
• Amazon Aurora PostgreSQL now available with the AWS Free Tier — Amazon Aurora PostgreSQL is now available on the AWS Free Tier. If you’re new to AWS, you receive $100 in AWS credits upon sign-up and can earn an additional $100 in credits by using services like Amazon Relational Database Service (Amazon RDS).
• Announcing Agent Plugin for AWS Serverless — With the new Agent Plugin for AWS Serverless, you can easily build, deploy, troubleshoot, and manage serverless applications using AI coding assistants like Kiro, Claude Code, and Cursor. This plugin extends AI assistants with structured capabilities by packaging skills, sub-agents, and Model Context Protocol (MCP) servers into one modular unit. It automatically loads the guidance and expertise you need throughout development to build production-ready serverless applications on AWS.
• Amazon SageMaker Studio now supports Kiro and Cursor IDEs as remote IDEs — You can now remotely connect from Kiro and Cursor IDEs to Amazon SageMaker Studio. This lets you use your existing Kiro and Cursor setup, including spec-driven development, conversational coding, and automated feature generation, while accessing the scalable compute resources of Amazon SageMaker Studio.
• Introducing visual customization capability in AWS Management Console — You can now customize your AWS Management Console with visual settings like account color and control which regions and services you see. Hiding unused regions and services helps you focus better and work faster by reducing cognitive load and unnecessary scrolling.
• Announcing Aurora DSQL connector to simplify building Ruby applications — You can now use the Aurora DSQL Connector for Ruby (pg gem) to easily build Ruby applications on Aurora DSQL. The Ruby Connector simplifies authentication and improves security by automatically generating tokens for each connection, eliminating the risks of traditional passwords while maintaining full compatibility with existing pg gem features.
• AWS Lambda increases the file descriptor limit for functions running on Lambda Managed Instances — AWS Lambda increases the file descriptor limit from 1,024 to 4,096, a 4x increase, for functions running on Lambda Managed Instances (LMI). You can now run I/O intensive workloads such as high-concurrency web services and file-heavy data processing pipelines without running into file descriptor limits.
• AWS Lambda now supports up to 32 GB of memory and 16 vCPUs for Lambda Managed Instances — AWS Lambda functions on Lambda Managed Instances now support up to 32 GB of memory and 16 vCPUs. You can run compute-intensive workloads like data processing, media transcoding, and scientific simulations without managing infrastructure. Plus, you can adjust the memory-to-vCPU ratio (2:1, 4:1, or 8:1) to fit your workload.
• Announcing Bidirectional Streaming API for Amazon Polly — Traditional text-to-speech APIs use a request-response pattern. The new Bidirectional Streaming API for Amazon Polly is designed for conversational AI applications that generate text or audio incrementally, like large language model (LLM) responses. This lets you start synthesizing audio before the full text is available.

For a full list of AWS announcements, be sure to keep an eye on our News Blog channel and the What’s New with AWS page.

Upcoming AWS events

Check your calendar and sign up for upcoming AWS events:

• AWS Summits — As I mentioned earlier, join AWS Summits in 2026 for free in-person events where you can explore emerging cloud and AI technologies, learn best practices, and network with industry peers and experts. Upcoming Summits include Paris (April 1), London (April 22), Bengaluru (April 23–24), Singapore (May 6), Tel Aviv (May 6), and Stockholm (May 7).
• AWS Community Days — Community-led conferences where content is planned, sourced, and delivered by community leaders, featuring technical discussions, workshops, and hands-on labs. Upcoming events include San Francisco (April 10) and Romania (April 23–24).

Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development. Browse the AWS Events and Webinars for upcoming AWS-led in-person and virtual events and developer-focused events.

That’s all for this week. Check back next Monday for another Weekly Roundup!

— Prasad

This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS!

The post AWS Weekly Roundup: AWS AI/ML Scholars program, Agent Plugin for AWS Serverless, and more (March 30, 2026) appeared first on The NOKIA Blog.

We’re thrilled to celebrate three exceptional developer community leaders as AWS Heroes. These individuals represent the heart of what makes the AWS community so vibrant. In addition to sharing technical knowledge, they build connections, forge genuine human relationships, and create pathways for others to grow. From pioneering cloud culture in mountain villages to leading cybersecurity education across continents, these Heroes demonstrate that true leadership extends beyond technical expertise to the communities we build and the lives we impact.

Maurizio Argoneto – Pignola, Italy

Community Hero Maurizio is a CTO and organizer of the AWS User Group Basilicata, recognized for his dedication to building tech ecosystems where they previously did not exist. For over a decade, he has pioneered cloud culture through a philosophy centered on genuine human connection and knowledge transfer. He founded an international tech conference in a small mountain village, creating a unique space where global experts and local talent meet, blending deep technical sessions on cloud architectures, DevOps, and web scaling with unconventional networking experiences. Beyond organizing events, Maurizio is a tireless mentor working across generations, which span from introducing children to coding to helping university students and professionals transition into cloud architecture. His impact is defined by a rare combination of technical leadership and inclusive community building that draws people from across Europe.

Ray Goh – Singapore

Artificial Intelligence Hero Ray Goh is a seasoned AWS machine learning and AI community leader based in Singapore and a long-standing contributor in various AWS community programs since 2018, from AWS ASEAN Cloud Warrior and AWS Dev/Cloud Alliance to being part of the pioneer batch of AWS Community Builders in 2020. He founded The Gen-C (a Generative AI Learning Community) in 2024, organizing regular public workshops at libraries across Singapore on topics ranging from LLM fine-tuning to AI agents on AWS. Ray has spoken at AWS re:Invent, AWS Summit ASEAN, AWS Community Day Hong Kong, and numerous user group meetups, and guest-authored for the AWS Machine Learning Blog. He spearheaded the world’s largest enterprise AWS DeepRacer program for DBS Bank in 2020, upskilling over 3,100 employees, and trained more than 1,300 ASEAN students in LLM techniques in 2025. His community work extends to skills-based CSR initiatives teaching AI and machine learning to women, children, and youths, with contributions featured on CNBC and Euromoney.

Sheyla Leacock – Panama City, Panama

Security Hero Sheyla Leacock is an IT security professional, mentor, technical author, and international speaker contributing to the global cloud and cybersecurity community. She has spoken at AWS Summit Mexico, AWS Summit LATAM in Peru, and led PeerTalk sessions at AWS re:Invent, while also leading the AWS User Group in Panama and regularly participating in AWS Community Days and regional meetups. Beyond AWS-focused events, she has delivered talks at more than 20 international conferences and publishes technical articles and educational content on AWS cloud computing and cybersecurity. She collaborates with universities as a guest lecturer, supporting the development of emerging technology and cybersecurity talent. Through community leadership, knowledge sharing, and education, she contributes to strengthening the AWS and cybersecurity ecosystem.

Learn More

Visit the AWS Heroes webpage if you’d like to learn more about the AWS Heroes program, or to connect with a Hero near you.

— Taylor

The post Our First 2026 AWS Heroes Cohort Is Here! appeared first on The NOKIA Blog.

These days, it seems like everyone already has a website. And clients aren’t necessarily keen on spending large sums on building new ones. For many, it’s about improving what they have. This strategy makes sense, as websites have grown more complex by the year. Starting from scratch isn’t an attractive option.

It also leaves agencies and freelancers in a strange spot. We traditionally rely on new website projects as a major source of revenue. This model isn’t nearly as reliable as it used to be.

The emergence of WordPress and other open-source content management systems (CMS) also created a strong market for website maintenance. That continues, but is it enough to grow your business?

It’s time to look for new opportunities in the WordPress market. Here are a few ideas on how your agency can adapt to the time we live in.

Start Selling Solutions

Existing and prospective clients may already have a website. However, they still face challenges. Identifying their pain points and creating solutions is a natural extension of your business.

It’s an opportunity for your WordPress expertise to shine. For example, let’s say your clients using WooCommerce have a common issue with managing orders: perhaps they find the process confusing or it has too many steps.

You can use that knowledge and experience to build a better solution. It could be a custom plugin or even a dashboard that provides all the data your clients need. You can sell it as an add-on to your current customers. Even better, you might also sell it to the general public.

The key is to find a problem that needs solving. From there, you can create a repeatable process for addressing it.

This strategy can increase your revenue and diversify how you earn it. The result is no longer relying solely on new website projects to survive. Now, you’re proactively improving your business and connecting with clients.

Become a Resource for Client Education

Both the web and WordPress never stop evolving. There are always new tools and technologies to consider. It’s our job to learn about them to improve our workflow and better serve clients.

Why not share what you know? Even if you already have a newsletter or blog to serve this purpose, you can still level up.

Creating online courses is a way to attract new clients and engage with existing ones. It’s useful information for people outside of our industry. It also enables you to teach them at scale.

What’s more, WordPress is a great platform for creating online courses. There are several learning management system (LMS) plugins available to help. Find your favorite and use it organize lessons, create quizzes, and add multimedia content.

You don’t have to focus solely on new technologies. There are plenty of “evergreen” topics, like the Block/Site editors, accessibility, and security best practices. Look for topics that interest your audience.

On the business side, you can follow up with students to collect feedback. There may also be an opportunity to book projects based on your course topics.

It’s worth noting that educational content is a long-term investment in your business. You may not see an immediate impact. But it can position you as an expert clients can turn to when they’re ready to move forward.

Adapt to What’s Next With WordPress

Technologies like artificial intelligence (AI) are changing rapidly. Not only is it impacting how we build sites, but it also changes how we manage them.

New features coming to WordPress will also make it easier for developers to add AI to any website. It could fundamentally change how people work with the platform. We’re likely to see changes in everything from content creation to security.

SEO is a prime example. These days, search engines are prioritizing AI-generated summaries on results pages. Maintaining a solid ranking may require a different approach, even if we don’t have all the answers yet. Tools and strategies to optimize client websites will be in demand.

This is another opportunity for agencies to both create solutions and educate clients. It may also be something more. AI and other technological advancements offer agencies the opportunity to reinvent themselves. It’s a chance to branch out into new service areas and gain expertise.

Learning to leverage AI could improve your efficiency and capabilities. That means you can accomplish complex tasks faster than before. Plus, our clients will need someone to guide them during this shift.

Your Agency Can Still Thrive in a Changing Landscape

It seems like the agency business model changed in the blink of an eye, or at least in the past few years. Technological and economic shifts have kept us on our toes and changed client expectations. At least it hasn’t been boring!

The challenge is to keep up with the times and find ways to make the most out of what’s changing. It’s daunting, but far from impossible. The good news is that we have options.

By combining smart technology use with old-fashioned creativity, we can deliver greater value to our clients. It’s a sustainable way to grow into the future.

Surely, more shifts are on the horizon. But navigating this one will help us prepare for whatever comes next.

here. He recently started a writing service for WordPress products: WP Product Writeup. He also has an opinion on just about every subject. You can follow his rants on Bluesky @karks.com.

Read more articles by Eric Karkovack

The post Finding New Opportunities for Your WordPress Agency appeared first on The NOKIA Blog.

It’s also never been easier to publish an online course. What’s more, WordPress serves as a great foundation for online education. Its content and media management capabilities are a natural fit. Plus, the ability to add automation and connect to third-party services opens a world of possibilities.

Thus, it’s no surprise that learning management system (LMS) plugins have become a popular category. They enable features such as student registration, online transactions, quizzes, automated grading, and awarding certificates. They have everything you need to build, publish, and manage a course in short order.

With that in mind, let’s review a selection of top LMS plugins for WordPress. Each of them has something unique to offer, and you’re sure to find one that fits your needs. Let’s get started!

LifterLMS is a free learning management plugin for WordPress that includes all the basics. Their course builder makes it easy to create lessons, assignments, and quizzes within a custom dashboard (a common theme among the plugins listed here).

The plugin also features a variety of blocks for displaying course grids, outlines, student progress, a login form, and more. A collection of premium add-ons enables e-commerce functionality, social learning, and group management. This means the plugin will grow with you.

The free version of Tutor LMS lets you build and sell online courses with ease. Connect with students via built-in Q&A sections and lesson commenting. It also features a pleasant, easy-to-read design that allows students to focus on learning.

The pro version unlocks additional payment gateways (PayPal is the lone gateway in the free version), an AI Studio feature for generating course materials, certificates, and membership functionality.

Among Sensei’s standout features is Learning Mode, a distraction-free layout that focuses on your course content. You’ll also find a certificate creation tool, auto-graded quizzes, and analytical reports.

Upgrade to Sensei Pro for access to AI-generated quizzes, WooCommerce integration, conditional content, and a suite of custom blocks. The free Course theme will help you get your project off to a quick start.

A commercial-only plugin, LearnDash is a staple among WordPress LMS options. The plugin offers a complete turnkey solution for building and selling courses. Features include a drag-and-drop course builder, PayPal/Stripe integration, and drip-feed content.

It also integrates with third-party tools, such as WooCommerce, The Events Calendar, Gravity Forms, Slack, and Elementor. Available add-ons bring notetaking, group management, and advanced analytical capabilities. LearnDash helps you create professional-looking courses that scale.

LearnPress is a feature-packed WordPress LMS plugin for building and monetizing online courses. The plugin works with the WordPress Block Editor and Elementor out of the box. Meanwhile, you can add features such as course prerequisites, BuddyPress integration, certificates, a front-end editor, and more via free and paid add-ons.

You can even distribute your courses via the LearnPress mobile app – allowing your students to learn on the go. You’ll also find support for selling access to in-person courses.

Whether you’re new to building online courses or a pro, MasterStudy has plenty of features and flexibility. The plugin’s course builder includes options to enable course previews and reviews. You can also assign expiration dates and difficulty levels to each course.

In addition, there’s support for multiple quiz types and a quiz timer. Move up to the pro version and gain access to AI content generation, recurring subscriptions, certificates, live streaming support, and more.

Billed as a “social WordPress LMS,”” WPLMS includes an intriguing set of features. For one, the plugin offers a multi-platform framework that converts your courses to a progressive web app.

Students can optionally download a course and use it anywhere – even without an internet connection. That’s in addition to the standard features you’d expect in an LMS. This commercial option is robust to say the least.

Masteriyo is an extensible LMS solution, with over 40 available add-ons and 20+ third-party integrations. That provides plenty of customization options for course builders. The plugin can also power community-based educational platforms, where instructors sign up to teach courses.

Inside, you’ll find a certificate builder, content dripping, a student gradebook, and support for social logins. There are plenty of features to dig into.

WordPress LMS Plugins at a Glance

Turn Your WordPress Site Into a Learning Hub

The LMS plugins above offer nearly unlimited possibilities for online educators. Each takes a different approach to course building and management. With that, it’s a matter of picking the tool that fits your workflow.

There is no shortage of features or extras, either. The free plugins on our list include all the basics and are great for beginners. However, those with more complex project requirements will want to check out the premium versions – they include pro-level functionality and user experience.

One thing we haven’t mentioned yet is web hosting. LMS plugins aren’t necessarily resource hogs. But the more users you have, the more server resources you’ll need. Be sure to purchase a web hosting plan with enough storage, RAM, and CPU cycles to handle your anticipated traffic. Hint: It never hurts to leave some room for growth.

Are you looking for more tips for building a successful online course using WordPress? We have a handy guide to help.

Now that you have plenty of great options, it’s time to pick a plugin and get to work!

here. He recently started a writing service for WordPress products: WP Product Writeup. He also has an opinion on just about every subject. You can follow his rants on Bluesky @karks.com.

Read more articles by Eric Karkovack

The post 8 Best LMS Plugins for WordPress in 2026 appeared first on The NOKIA Blog.

With AWS re:Invent approaching, we’re celebrating three exceptional AWS Heroes whose diverse journeys and commitment to knowledge sharing are empowering builders worldwide. From advancing women in tech and rural communities to bridging academic and industry expertise and pioneering enterprise AI solutions, these leaders exemplify the innovative spirit that drives our community forward. Their stories showcase how technical excellence, combined with passionate advocacy and mentorship, strengthens the global AWS community.

Dimple Vaghela – Ahmedabad, India

Community Hero Dimple Vaghela leads both the AWS User Group Ahmedabad and AWS User Group Vadodara, where she drives cloud education and technical growth across the region. Her impact spans organizing numerous AWS meetups, workshops, and AWS Community Days that have helped thousands of learners advance their cloud careers. Dimple launched the “Cloud for Her” project to empower girls from rural areas in technology careers and serves as co-organizer of the Women in Tech India User Group. Her exceptional leadership and community contributions were recognized at AWS re:Invent 2024 with the AWS User Group Leader Award in the Ownership category, while she continues building a more inclusive cloud community through speaking, mentoring, and organizing impactful tech events.

Rola Dali – Montreal, Canada

Community Hero Rola Dali is a senior Data, ML, and AI expert specializing in AWS cloud, bringing unique perspective from her PhD in neuroscience and bioinformatics with expertise in human genomics. As co-organizer of the AWS Montreal User Group and a former AWS Community Builder, her commitment to the cloud community earned her the prestigious Golden Jacket recognition in 2024. She actively shapes the tech community by architecting AWS solutions, sharing knowledge through blogs and lectures, and mentoring women entering tech, academics transitioning to industry, and students starting their careers.

Vivek Velso – Toronto, Canada

Machine Learning Hero Vivek Velso is a seasoned technology leader with over 27 years of IT industry experience, specializing in helping organizations modernize their cloud infrastructure for generative AI workloads. His deep AWS expertise earned him the prestigious Golden Jacket award for completing all AWS certifications, and he actively contributes to the AWS Subject Matter Expert (SME) program for multiple certification exams. A former AWS Community Builder and AWS Ambassador, he continues to share his knowledge through more than 100 technical blogs, articles, conference engagements, and AWS livestreams, helping the community confidently embrace cloud innovation.

Learn More

Visit the AWS Heroes webpage if you’d like to learn more about the AWS Heroes program, or to connect with a Hero near you.

— Taylor

The post Introducing Our Final AWS Heroes of 2025 appeared first on The NOKIA Blog.

Misuse and misplaced trust of AI is becoming an unfortunate common event. For example, lawyers trying to leverage the power of generative AI for research submit court filings citing multiple compelling legal precedents. The problem? The AI had confidently, eloquently, and completely fabricated the cases cited. The resulting sanctions and public embarrassment can become a viral cautionary tale, shared across social media as a stark example of AI’s fallibility.

This goes beyond a technical glitch; it’s a catastrophic failure of trust in AI tools in an industry where accuracy and trust are critical. The trust issue here is twofold — the law firms are submitting briefs in which they have blindly over-trusted the AI tool to return accurate information. The subsequent fallout can lead to a strong distrust in AI tools, to the point where platforms featuring AI might not be considered for use until trust is reestablished.

Issues with trusting AI aren’t limited to the legal field. We are seeing the impact of fictional AI-generated information in critical fields such as healthcare and education. On a more personal scale, many of us have had the experience of asking Siri or Alexa to perform a task, only to have it done incorrectly or not at all, for no apparent reason. I’m guilty of sending more than one out-of-context hands-free text to an unsuspecting contact after Siri mistakenly pulls up a completely different name than the one I’d requested.

With digital products moving to incorporate generative and agentic AI at an increasingly frequent rate, trust has become the invisible user interface. When it works, our interactions are seamless and powerful. When it breaks, the entire experience collapses, with potentially devastating consequences. As UX professionals, we’re on the front lines of a new twist on a common challenge. How do we build products that users can rely on? And how do we even begin to measure something as ephemeral as trust in AI?

Trust isn’t a mystical quality. It is a psychological construct built on predictable factors. I won’t dive deep into academic literature on trust in this article. However, it is important to understand that trust is a concept that can be understood, measured, and designed for. This article will provide a practical guide for UX researchers and designers. We will briefly explore the psychological anatomy of trust, offer concrete methods for measuring it, and provide actionable strategies for designing more trustworthy and ethical AI systems.

The Anatomy of Trust: A Psychological Framework for AI

To build trust, we must first understand its components. Think of trust like a four-legged stool. If any one leg is weak, the whole thing becomes unstable. Based on classic psychological models, we can adapt these “legs” for the AI context.

1. Ability (or Competence)

This is the most straightforward pillar: Does the AI have the skills to perform its function accurately and effectively? If a weather app is consistently wrong, you stop trusting it. If an AI legal assistant creates fictitious cases, it has failed the basic test of ability. This is the functional, foundational layer of trust.

2. Benevolence

This moves from function to intent. Does the user believe the AI is acting in their best interest? A GPS that suggests a toll-free route even if it’s a few minutes longer might be perceived as benevolent. Conversely, an AI that aggressively pushes sponsored products feels self-serving, eroding this sense of benevolence. This is where user fears, such as concerns about job displacement, directly challenge trust—the user starts to believe the AI is not on their side.

3. Integrity

Does AI operate on predictable and ethical principles? This is about transparency, fairness, and honesty. An AI that clearly states how it uses personal data demonstrates integrity. A system that quietly changes its terms of service or uses dark patterns to get users to agree to something violates integrity. An AI job recruiting tool that has subtle yet extremely harmful social biases, existing in the algorithm, violates integrity.

4. Predictability & Reliability

Can the user form a stable and accurate mental model of how the AI will behave? Unpredictability, even if the outcomes are occasionally good, creates anxiety. A user needs to know, roughly, what to expect. An AI that gives a radically different answer to the same question asked twice is unpredictable and, therefore, hard to trust.

The Trust Spectrum: The Goal of a Well-Calibrated Relationship

Our goal as UX professionals shouldn’t be to maximize trust at all costs. An employee who blindly trusts every email they receive is a security risk. Likewise, a user who blindly trusts every AI output can be led into dangerous situations, such as the legal briefs referenced at the beginning of this article. The goal is well-calibrated trust.

Think of it as a spectrum where the upper-mid level is the ideal state for a truly trustworthy product to achieve:

• Active Distrust
  The user believes the AI is incompetent or malicious. They will avoid it or actively work against it.
• Suspicion & Scrutiny
  The user interacts cautiously, constantly verifying the AI’s outputs. This is a common and often healthy state for users of new AI.
• Calibrated Trust (The Ideal State)
  This is the sweet spot. The user has an accurate understanding of the AI’s capabilities—its strengths and, crucially, its weaknesses. They know when to rely on it and when to be skeptical.
• Over-trust & Automation Bias
  The user unquestioningly accepts the AI’s outputs. This is where users follow flawed AI navigation into a field or accept a fictional legal brief as fact.

Our job is to design experiences that guide users away from the dangerous poles of Active Distrust and Over-trust and toward that healthy, realistic middle ground of Calibrated Trust.

Trust feels abstract, but it leaves measurable fingerprints. Academics in the social sciences have done much to define both what trust looks like and how it might be measured. As researchers, we can capture these signals through a mix of qualitative, quantitative, and behavioral methods.

Qualitative Probes: Listening For The Language Of Trust

During interviews and usability tests, go beyond “Was that easy to use?” and listen for the underlying psychology. Here are some questions you can start using tomorrow:

• To measure Ability:
  “Tell me about a time this tool’s performance surprised you, either positively or negatively.”
• To measure Benevolence:
  “Do you feel this system is on your side? What gives you that impression?”
• To measure Integrity:
  “If this AI made a mistake, how would you expect it to handle it? What would be a fair response?”
• To measure Predictability:
  “Before you clicked that button, what did you expect the AI to do? How closely did it match your expectation?”

Investigating Existential Fears (The Job Displacement Scenario)

One of the most potent challenges to an AI’s Benevolence is the fear of job displacement. When a participant expresses this, it is a critical research finding. It requires a specific, ethical probing technique.

Imagine a participant says, “Wow, it does that part of my job pretty well. I guess I should be worried.”

An untrained researcher might get defensive or dismiss the comment. An ethical, trained researcher validates and explores:

“Thank you for sharing that; it’s a vital perspective, and it’s exactly the kind of feedback we need to hear. Can you tell me more about what aspects of this tool make you feel that way? In an ideal world, how would a tool like this work with you to make your job better, not to replace it?”

This approach respects the participant, validates their concern, and reframes the feedback into an actionable insight about designing a collaborative, augmenting tool rather than a replacement. Similarly, your findings should reflect the concern users expressed about replacement. We shouldn’t pretend this fear doesn’t exist, nor should we pretend that every AI feature is being implemented with pure intention. Users know better than that, and we should be prepared to argue on their behalf for how the technology might best co-exist within their roles.

Quantitative Measures: Putting A Number On Confidence

You can quantify trust without needing a data science degree. After a user completes a task with an AI, supplement your standard usability questions with a few simple Likert-scale items:

• “The AI’s suggestion was reliable.” (1-7, Strongly Disagree to Strongly Agree)
• “I am confident in the AI’s output.” (1-7)
• “I understood why the AI made that recommendation.” (1-7)
• “The AI responded in a way that I expected.” (1-7)
• “The AI provided consistent responses over time.” (1-7)

Over time, these metrics can track how trust is changing as your product evolves.

Note: If you want to go beyond these simple questions that I’ve made up, there are numerous scales (measurements) of trust in technology that exist in academic literature. It might be an interesting endeavor to measure some relevant psychographic and demographic characteristics of your users and see how that correlates with trust in AI/your product. Table 1 at the end of the article contains four examples of current scales you might consider using to measure trust. You can decide which is best for your application, or you might pull some of the items from any of the scales if you aren’t looking to publish your findings in an academic journal, yet want to use items that have been subjected to some level of empirical scrutiny.

Behavioral Metrics: Observing What Users Do, Not Just What They Say

People’s true feelings are often revealed in their actions. You can use behaviors that reflect the specific context of use for your product. Here are a few general metrics that might apply to most AI tools that give insight into users’ behavior and the trust they place in your tool.

• Correction Rate
  How often do users manually edit, undo, or ignore the AI’s output? A high correction rate is a powerful signal of low trust in its Ability.
• Verification Behavior
  Do users switch to Google or open another application to double-check the AI’s work? This indicates they don’t trust it as a standalone source of truth. It can also potentially be positive that they are calibrating their trust in the system when they use it up front.
• Disengagement
  Do users turn the AI feature off? Do they stop using it entirely after one bad experience? This is the ultimate behavioral vote of no confidence.

Designing For Trust: From Principles to Pixels

Once you’ve researched and measured trust, you can begin to design for it. This means translating psychological principles into tangible interface elements and user flows.

Designing for Competence and Predictability

• Set Clear Expectations
  Use onboarding, tooltips, and empty states to honestly communicate what the AI is good at and where it might struggle. A simple “I’m still learning about [topic X], so please double-check my answers” can work wonders.
• Show Confidence Levels
  Instead of just giving an answer, have the AI signal its own uncertainty. A weather app that says “70% chance of rain” is more trustworthy than one that just says “It will rain” and is wrong. An AI could say, “I’m 85% confident in this summary,” or highlight sentences it’s less sure about.

The Role of Explainability (XAI) and Transparency

Explainability isn’t about showing users the code. It’s about providing a useful, human-understandable rationale for a decision.

Instead of:
“Here is your recommendation.”

Try:
“Because you frequently read articles about UX research methods, I’m recommending this new piece on measuring trust in AI.”

This addition transforms AI from an opaque oracle to a transparent logical partner.

Many of the popular AI tools (e.g., ChatGPT and Gemini) show the thinking that went into the response they provide to a user. Figure 3 shows the steps Gemini went through to provide me with a non-response when I asked it to help me generate the masterpiece displayed above in Figure 2. While this might be more information than most users care to see, it provides a useful resource for a user to audit how the response came to be, and it has provided me with instructions on how I might proceed to address my task.

Figure 4 shows an example of a scorecard OpenAI makes available as an attempt to increase users’ trust. These scorecards are available for each ChatGPT model and go into the specifics of how the models perform as it relates to key areas such as hallucinations, health-based conversations, and much more. In reading the scorecards closely, you will see that no AI model is perfect in any area. The user must remain in a trust but verify mode to make the relationship between human reality and AI work in a way that avoids potential catastrophe. There should never be blind trust in an LLM.

Designing For Trust Repair (Graceful Error Handling) And Not Knowing an Answer

Your AI will make mistakes.

Trust is not determined by the absence of errors, but by how those errors are handled.

• Acknowledge Errors Humbly.
  When the AI is wrong, it should be able to state that clearly. “My apologies, I misunderstood that request. Could you please rephrase it?” is far better than silence or a nonsensical answer.
• Provide an Easy Path to Correction.
  Make feedback mechanisms (like thumbs up/down or a correction box) obvious. More importantly, show that the feedback is being used. A “Thank you, I’m learning from your correction” can help rebuild trust after a failure. As long as this is true.

Likewise, your AI can’t know everything. You should acknowledge this to your users.

UX practitioners should work with the product team to ensure that honesty about limitations is a core product principle.

This can include the following:

• Establish User-Centric Metrics: Instead of only measuring engagement or task completion, UXers can work with product managers to define and track metrics like:
  • Hallucination Rate: The frequency with which the AI provides verifiably false information.
  • Successful Fallback Rate: How often the AI correctly identifies its inability to answer and provides a helpful, honest alternative.
• Prioritize the “I Don’t Know” Experience: UXers should frame the “I don’t know” response not as an error state, but as a critical feature. They must lobby for the engineering and content resources needed to design a high-quality, helpful fallback experience.

UX Writing And Trust

All of these considerations highlight the critical role of UX writing in the development of trustworthy AI. UX writers are the architects of the AI’s voice and tone, ensuring that its communication is clear, honest, and empathetic. They translate complex technical processes into user-friendly explanations, craft helpful error messages, and design conversational flows that build confidence and rapport. Without thoughtful UX writing, even the most technologically advanced AI can feel opaque and untrustworthy.

The words and phrases an AI uses are its primary interface with users. UX writers are uniquely positioned to shape this interaction, ensuring that every tooltip, prompt, and response contributes to a positive and trust-building experience. Their expertise in human-centered language and design is indispensable for creating AI systems that not only perform well but also earn and maintain the trust of their users.

A few key areas for UX writers to focus on when writing for AI include:

• Prioritize Transparency
  Clearly communicate the AI’s capabilities and limitations, especially when it’s still learning or if its responses are generated rather than factual. Use phrases that indicate the AI’s nature, such as “As an AI, I can…” or “This is a generated response.”
• Design for Explainability
  When the AI provides a recommendation, decision, or complex output, strive to explain the reasoning behind it in an understandable way. This builds trust by showing the user how the AI arrived at its conclusion.
• Emphasize User Control
  Empower users by providing clear ways to provide feedback, correct errors, or opt out of certain AI features. This reinforces the idea that the user is in control and the AI is a tool to assist them.

The Ethical Tightrope: The Researcher’s Responsibility

As the people responsible for understanding and advocating for users, we walk an ethical tightrope. Our work comes with profound responsibilities.

The Danger Of “Trustwashing”

We must draw a hard line between designing for calibrated trust and designing to manipulate users into trusting a flawed, biased, or harmful system. For example, if an AI system designed for loan approvals consistently discriminates against certain demographics but presents a user interface that implies fairness and transparency, this would be an instance of trustwashing.

Another example of trustwashing would be if an AI medical diagnostic tool occasionally misdiagnoses conditions, but the user interface makes it seem infallible. To avoid trustwashing, the system should clearly communicate the potential for error and the need for human oversight.

Our goal must be to create genuinely trustworthy systems, not just the perception of trust. Using these principles to lull users into a false sense of security is a betrayal of our professional ethics.

To avoid and prevent trustwashing, researchers and UX teams should:

• Prioritize genuine transparency.
  Clearly communicate the limitations, biases, and uncertainties of AI systems. Don’t overstate capabilities or obscure potential risks.
• Conduct rigorous, independent evaluations.
  Go beyond internal testing and seek external validation of system performance, fairness, and robustness.
• Engage with diverse stakeholders.
  Involve users, ethics experts, and impacted communities in the design, development, and evaluation processes to identify potential harms and build genuine trust.
• Be accountable for outcomes.
  Take responsibility for the societal impact of AI systems, even if unintended. Establish mechanisms for redress and continuous improvement.
• Be accountable for outcomes.
  Establish clear and accessible mechanisms for redress when harm occurs, ensuring that individuals and communities affected by AI decisions have avenues for recourse and compensation.
• Educate the public.
  Help users understand how AI works, its limitations, and what to look for when evaluating AI products.
• Advocate for ethical guidelines and regulations.
  Support the development and implementation of industry standards and policies that promote responsible AI development and prevent deceptive practices.
• Be wary of marketing hype.
  Critically assess claims made about AI systems, especially those that emphasize “trustworthiness” without clear evidence or detailed explanations.
• Publish negative findings.
  Don’t shy away from reporting challenges, failures, or ethical dilemmas encountered during research. Transparency about limitations is crucial for building long-term trust.
• Focus on user empowerment.
  Design systems that give users control, agency, and understanding rather than just passively accepting AI outputs.

The Duty To Advocate

When our research uncovers deep-seated distrust or potential harm — like the fear of job displacement — our job has only just begun. We have an ethical duty to advocate for that user. In my experience directing research teams, I’ve seen that the hardest part of our job is often carrying these uncomfortable truths into rooms where decisions are made. We must champion these findings and advocate for design and strategy shifts that prioritize user well-being, even when it challenges the product roadmap.

I personally try to approach presenting this information as an opportunity for growth and improvement, rather than a negative challenge.

For example, instead of stating “Users don’t trust our AI because they fear job displacement,” I might frame it as “Addressing user concerns about job displacement presents a significant opportunity to build deeper trust and long-term loyalty by demonstrating our commitment to responsible AI development and exploring features that enhance human capabilities rather than replace them.” This reframing can shift the conversation from a defensive posture to a proactive, problem-solving mindset, encouraging collaboration and innovative solutions that ultimately benefit both the user and the business.

It’s no secret that one of the more appealing areas for businesses to use AI is in workforce reduction. In reality, there will be many cases where businesses look to cut 10–20% of a particular job family due to the perceived efficiency gains of AI. However, giving users the opportunity to shape the product may steer it in a direction that makes them feel safer than if they do not provide feedback. We should not attempt to convince users they are wrong if they are distrustful of AI. We should appreciate that they are willing to provide feedback, creating an experience that is informed by the human experts who have long been doing the task being automated.

Conclusion: Building Our Digital Future On A Foundation Of Trust

The rise of AI is not the first major technological shift our field has faced. However, it presents one of the most significant psychological challenges of our current time. Building products that are not just usable but also responsible, humane, and trustworthy is our obligation as UX professionals.

Trust is not a soft metric. It is the fundamental currency of any successful human-technology relationship. By understanding its psychological roots, measuring it with rigor, and designing for it with intent and integrity, we can move from creating “intelligent” products to building a future where users can place their confidence in the tools they use every day. A trust that is earned and deserved.

Table 1: Published Academic Scales Measuring Trust In Automated Systems

Appendix A: Trust-Building Tactics Checklist

To design for calibrated trust, consider implementing the following tactics, organized by the four pillars of trust:

1. Ability (Competence) & Predictability

• ✅ Set Clear Expectations: Use onboarding, tooltips, and empty states to honestly communicate the AI’s strengths and weaknesses.
• ✅ Show Confidence Levels: Display the AI’s uncertainty (e.g., “70% chance,” “85% confident”) or highlight less certain parts of its output.
• ✅ Provide Explainability (XAI): Offer useful, human-understandable rationales for the AI’s decisions or recommendations (e.g., “Because you frequently read X, I’m recommending Y”).
• ✅ Design for Graceful Error Handling:
  • ✅ Acknowledge errors humbly (e.g., “My apologies, I misunderstood that request.”).
  • ✅ Provide easy paths to correction (e. ] g., prominent feedback mechanisms like thumbs up/down).
  • ✅ Show that feedback is being used (e.g., “Thank you, I’m learning from your correction”).
• ✅ Design for “I Don’t Know” Responses:
  • ✅ Acknowledge limitations honestly.
  • ✅ Prioritize a high-quality, helpful fallback experience when the AI cannot answer.
• ✅ Prioritize Transparency: Clearly communicate the AI’s capabilities and limitations, especially if responses are generated.

2. Benevolence

• ✅ Address Existential Fears: When users express concerns (e.g., job displacement), validate their concerns and reframe the feedback into actionable insights about collaborative tools.
• ✅ Prioritize User Well-being: Advocate for design and strategy shifts that prioritize user well-being, even if it challenges the product roadmap.
• ✅ Emphasize User Control: Provide clear ways for users to give feedback, correct errors, or opt out of AI features.

3. Integrity

• ✅ Adhere to Ethical Principles: Ensure the AI operates on predictable, ethical principles, demonstrating fairness and honesty.
• ✅ Prioritize Genuine Transparency: Clearly communicate the limitations, biases, and uncertainties of AI systems; avoid overstating capabilities or obscuring risks.
• ✅ Conduct Rigorous, Independent Evaluations: Seek external validation of system performance, fairness, and robustness to mitigate bias.
• ✅ Engage Diverse Stakeholders: Involve users, ethics experts, and impacted communities in the design and evaluation processes.
• ✅ Be Accountable for Outcomes: Establish clear mechanisms for redress and continuous improvement for societal impacts, even if unintended.
• ✅ Educate the Public: Help users understand how AI works, its limitations, and how to evaluate AI products.
• ✅ Advocate for Ethical Guidelines: Support the development and implementation of industry standards and policies that promote responsible AI.
• ✅ Be Wary of Marketing Hype: Critically assess claims about AI “trustworthiness” and demand verifiable data.
• ✅ Publish Negative Findings: Be transparent about challenges, failures, or ethical dilemmas encountered during research.

4. Predictability & Reliability

• ✅ Set Clear Expectations: Use onboarding, tooltips, and empty states to honestly communicate what the AI is good at and where it might struggle.
• ✅ Show Confidence Levels: Instead of just giving an answer, have the AI signal its own uncertainty.
• ✅ Provide Explainability (XAI) and Transparency: Offer a useful, human-understandable rationale for AI decisions.
• ✅ Design for Graceful Error Handling: Acknowledge errors humbly and provide easy paths to correction.
• ✅ Prioritize the “I Don’t Know” Experience: Frame “I don’t know” as a feature and design a high-quality fallback experience.
• ✅ Prioritize Transparency (UX Writing): Clearly communicate the AI’s capabilities and limitations, especially when it’s still learning or if responses are generated.
• ✅ Design for Explainability (UX Writing): Explain the reasoning behind AI recommendations, decisions, or complex outputs.

(yk)

The post The Psychology Of Trust In AI: A Guide To Measuring And Designing For User Confidence appeared first on The NOKIA Blog.

Kia ora! Today, I’m pleased to share the general availability of the AWS Asia Pacific (New Zealand) Region with three Availability Zones and API name ap-southeast-6. With the new Region, customers can now run workloads and securely store data in New Zealand while serving end users with even lower latency.

The new AWS Asia Pacific (New Zealand) Region will help organizations run their applications and serve end users while maintaining data residency in New Zealand. The NZD $7.5 billion Amazon Web Services (AWS) investment to establish an AWS Region in New Zealand is expected to contribute NZD $10.8 billion to New Zealand’s gross domestic product (GDP) which is estimated to create 1,000 new jobs annually and will enable Kiwi organizations of all sizes to innovate and scale faster using the most secure and resilient infrastructure.

AWS in New Zealand
Since we opened our first office in New Zealand in 2013, we’ve been continuously expanding our infrastructure to better serve Kiwi customers:

Connectivity to the global AWS network – In 2016, AWS enhanced New Zealand’s connectivity to the AWS Global Infrastructure by establishing diverse, high-capacity subsea cable connections, improving network reliability and performance for customers.

Amazon CloudFront – In 2020, AWS expanded its infrastructure footprint in New Zealand by adding two Amazon CloudFront edge locations in Auckland.

AWS Local Zones – To further enhance its infrastructure offerings in New Zealand, AWS introduced an AWS Local Zone in Auckland in 2023 helping customers deliver applications that require single-digit millisecond latency.

AWS Direct Connect – In the same year, AWS also added a Direct Connect location in Auckland to help customers securely link their on-premises networks to AWS resulting in lower networking costs and improved application performance. With this Region launch, AWS is adding another Direct Connect location in Auckland.

Let’s take a look at how AWS customers are leveraging AWS capabilities for diverse needs.

Security and compliance
The New Zealand government has a cloud first policy to encourage cloud adoption across the public sector. AWS supports 143 security standards and compliance certifications, including Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA) and Health Information Technology for Economic and Clinical Health (HITECH), Federal Risk and Authorization Management Program (FedRAMP), General Data Protection Regulation (GDPR), Federal Information Processing Standard (FIPS) 140-3, and National Institute of Standards and Technology (NIST) 800-171, helping customers satisfy compliance requirements around the globe and providing a secure cloud infrastructure.

MATTR, a New Zealand-based organization providing infrastructure and digital trust services to businesses and governments, sees significant benefits from the new Region. To learn more about how MATTR and other organizations like Kiwibank and Deloitte plan to use the AWS New Zealand Region, visit this news article.

Accelerating AI innovation in New Zealand
AWS delivers the most comprehensive set of capabilities for generative AI at every layer of the stack, including a choice of cutting-edge large language models (LLMs) for implementing generative AI with Amazon Bedrock, and the most capable generative AI assistant to transform how work gets done with Amazon Q.

New Zealand customers are already benefiting from the generative AI capabilities offered by AWS.

Thematic is a New Zealand-based global leader in customer intelligence and feedback analysis. Thematic uses generative AI to turn customer feedback data from multiple channels into curated, accurate, and reliable customer intelligence.

“Using Amazon Bedrock is just so incredibly easy that it just makes sense. Whenever we design a solution, we do test more than 10 large language models (LLMs). Consistently the ones offered by AWS are winning those competitions,” said Nathan Holmberg, CTO and Co-Founder, Thematic.

To learn more on other customers like One NZ utilized generative AI, visit this article.

Building cloud skills together
Since signing a memorandum of understanding (MoU) with the New Zealand government in 2022, Amazon has trained more than 50,000 Kiwis toward our goal of 100,000. Amazon is committed to continuing to invest in cloud education through programs including AWS Academy, AWS Skills Builder, AWS Educate, and AWS re/Start. Organizations are using AWS to scale globally while investing in local talent development, supporting New Zealand’s growing demand for cloud expertise.

Xero, a global small business platform helps customers supercharge their business by bringing together the most important small business tools, including accounting, payroll and payments — on one platform. Leveraging AWS since 2016, Xero has scaled its platform globally, enhancing its features and enabling continual innovation.

“Amazon’s commitment to the New Zealand tech industry through their NZD $7.5B investment is promising. It’s a significant vote of confidence that will help connect New Zealand tech exporters with new global opportunities across the AWS ecosystem and the broader Amazon network,” says Bridget Snelling, Xero Country Manager, Aotearoa New Zealand.

Sustainable digital transformation
Through The Climate Pledge, Amazon is committed to reaching net-zero carbon across its business by 2040. AWS is committed to supporting New Zealand’s sustainability goals with efficient and responsible operations of its data centers in the country. The AWS Asia Pacific (New Zealand) Region is underpinned by renewable energy from day one through its agreement with Mercury New Zealand.

Energy companies are using AWS to modernize operations while advancing sustainability goals. Sharesies, a wealth development platform, is using AWS to modernize operations while advancing sustainability goals.

“Sharesies is very supportive of storing customer data in-country and being able to use renewable energy, “ says Sharesies Chief Technical Officer Richard Clark. “To do this in New Zealand on the AWS Cloud and have it fully powered by Mercury’s wind energy is a huge step forward. And very exciting!”

AWS partners in New Zealand
The AWS Partner Network (APN) in New Zealand includes a growing ecosystem of consulting and technology partners helping customers of all sizes design, architect, build, migrate, and manage their workloads on AWS. AWS Partners like Custom D, Grant Thornton Digital, MongoDB, and Parallo are actively supporting customers to deliver innovative solutions tailored to the unique needs of New Zealand organizations across various industries. With the new Region, these partners can now leverage the full capabilities of AWS cloud services locally.

AWS community in New Zealand
New Zealand is also home to one AWS Hero, 26 AWS Community Builders, 6 AWS User Groups and almost 9,000 community members across AWS User Groups in Auckland, Wellington, and Christchurch. If you’re interested in joining AWS User Groups New Zealand, visit their Meetup and social media pages.

Here’s what our AWS Hero Arshad Zackeriya, says about the new Region:

“The launch of the AWS Region in New Zealand is a game-changer for our country. It’s not just about a new set of data centers; it’s about unlocking the potential of New Zealand’s businesses and developer communities, allowing us to build a better, more connected Aotearoa for all.”

Available now
The AWS Asia Pacific (New Zealand) Region is the first infrastructure Region in New Zealand and sixteenth Region in Asia Pacific. With this launch, AWS now spans 120 Availability Zones within 38 geographic Regions around the world, with announced plans for 10 more Availability Zones and three more AWS Regions in the Kingdom of Saudi Arabia, Chile, and the European Sovereign Cloud.

The new Asia Pacific (New Zealand) Region is ready to support your business, and you can find a detailed list of the services available in this Region on the AWS Services by Region page. To learn more, visit the AWS Global Infrastructure page, and start building on ap-southeast-6!

Happy building!
— Donnie

The post Now Open — AWS Asia Pacific (New Zealand) Region appeared first on The NOKIA Blog.

But hiring managers will see hundreds of resumes. What can you do to get yours noticed? Resume templates for Figma are a great starting point.

These polished, modern designs will bring your skills and experience to the forefront. They let you share your qualifications and work history in moments. Even better, you don’t have to be a design expert to take advantage of the benefits of creating a resume in Figma.

In this collection, you’ll find a curated collection of resume templates for Figma. They’re free to download and use. They span many styles and design aesthetics, so finding the layout that best fits your skills and sense of style will be easy.

Modern and elegant, this resume is suitable for any career path. Simply enter your credentials and create a workable, stunning design in just a few moments.

The Flyer Resume template combines the elements of a flyer with a professional CV. It has a vibrant color scheme, bold typography, and graphical elements, including a QR code, to make your resume stand out.

Created for designers, a resume template like this is heavy on minimalistic style. It’s easy to work with but packs an eye-catching columned layout that employers will notice.

Videre offers a clean layout with sections for personal details, work experience, education, skills, and references. This Figma template is highly customizable and allows you to create a professional and beautifully designed resume or CV in no time.

Do you need a one-page career overview to land your dream job? This template has you covered. It lets you share without resorting to messy and cluttered layouts.

This minimalist resume design puts your credentials front and center. It has been designed for creatives, designers, developers, and anyone with skills to share.

Created for architects and interior designers, this resume template has a clean and modern layout with sections for your personal details, professional work summary, employment experience, education, skills, and portfolio. This Figma template allows you to highlight your design projects and can be easily customized to suit your style and industry.

This free template is an elegant, contemporary resume design for 2024 and beyond. Your name and profile runs down the right-hand side. The heart of your skills and experiences are listed in the main section on the left.

Pluribus has a clean design for creating a professional personal resume or CV. It includes sections for personal information, professional summary, work experience, education, skills, and references. The template offers customization options and a visually appealing layout.

This professional resume template has a simple but elegant layout. It’s easy to customize by adding your skills, experience, and education.

Fabius sports a modern and stylish design for creating a personalized resume or CV in Figma. It offers sections for personal information, professional summary, work experience, education, skills, portfolio, and contact details.

With this template, you can quickly add your logo or personal branding and then export the finished product to PDF format for sharing with hiring managers.

This template includes three design options, making it a versatile resume option. Each template is in A4 format.

Here is a resume template for computer technicians and other IT professionals. It makes it effortless to share your role-specific background and skillset.

There are now more remote workers than ever, and it’s time for resume templates to catch up. Here’s a design tailored for those who aim to work from anywhere.

This is another template for designers, but this comes with a contemporary look. It has ample room for content while keeping a clear and readable layout.

Are you searching for flexibility? This template pack has you covered, with 32 designs to choose from. They vary by style but share a colorful elegance that reviewers will appreciate.

This resume template is informative and inspiring, making it a top candidate for 2024. It uses subtle color contrasts and clearly defined spaces between each section.

Designers and engineers have many technical skills to share on their resumes. Here is a template meant for just that, with multiple pages of layouts to fill in credentials.

A CV template like this is colorful yet professional. At the top, you can add a photo and your profile. Below are listed skills, links, and your work history.

This template will always focus on your professional story and accomplishments. It has clearly defined sections and a refined modern style.

Software development is a huge growth field, full of highly qualified candidates. Stand out from the crowd with this sleek resume design for 2024, with room to highlight your achievements.

Grid layouts help your resume content remain clear, concise, and easy to read. This template includes three different templates.

Color contrasts help your resume stand out while maintaining a professional style. With forest green hues, this design is a stylish option that doesn’t sacrifice a pro look.

Images and branding help you call attention to key details on your resume. This template has ample room for these, with an excellent modern design used throughout.

The best resume templates stand out for their flexibility. They work for any industry or set of skills. Here is a top example with a versatile layout that’s easy to edit.

Customizable in a few clicks, this design lets you share your work story with others smoothly. In the upper right, you’ll find room for a professional headshot.

A classic resume layout, this template is straightforward to work with. Drop in your details and create a PDF copy for sharing,

This resume has two columns for listing your career content. Across the top is a customizable heading and section for contact details.

Tips for Editing Figma Resume Templates

Here are some tips for editing a Figma resume template:

1. Duplicate the Template: Before you start editing, duplicate the original template to create a copy that you can edit without affecting the master.
2. Organize Layers and Components: Figma templates use layers and components to keep elements organized. Use the layers panel to navigate and make changes. If the template has components, ensure you understand their structure.
3. Edit Text and Content: Click on text elements to edit them directly. Update the content with your information, including your name, contact details, work experience, education, and skills.
4. Use Styles and Variants: Figma allows you to create text and color styles, which can save time by ensuring consistency. If the template uses text styles or color variants, apply them to maintain a cohesive design.
5. Replace Images: If the template includes placeholder images, replace them with your own headshot or portfolio images. Right-click on an image layer to replace it.
6. Adjust Layout and Spacing: To customize the layout, use Figma’s resizing and spacing features. You can also rearrange elements by dragging and dropping them on the canvas.
7. Customize Colors and Fonts: To change the color scheme or fonts, update the corresponding styles in the Figma file.
8. Add or Remove Sections: You might want to add or remove sections. Use the tools in Figma to duplicate or delete elements as necessary.
9. Preview on Different Devices: Use the “Preview” feature to ensure your resume looks good on desktop, tablet, and mobile screens.
10. Collaboration and Feedback: Figma is collaborative so that you can share your edited template with others for feedback or collaboration. You can use comments and annotations to communicate changes.
11. Save and Export: Once you’re happy with your edits, save your Figma file. You can also export your resume design as images, PDFs, or other formats to share or print.

Remember that Figma provides a lot of flexibility, so don’t hesitate to experiment and make the template your own.

More Free Resume & Figma Templates

Read more articles by Paul Andrew

The post 25+ Best Free Figma Resume Templates for Designers in 2025 appeared first on The NOKIA Blog.