Build your AI career path with AWS
The World Economic Forum estimates 40% of core job skills will change by 2030, with employers already paying an average of 47% more for workers with AI skills, according to Skillsoft’s 2024-2025 IT Skills & Salary Report.
To address this growing skills gap, Amazon Web Services (AWS) has introduced four new solutions designed to help learners build, practise, and validate their AI capabilities.
Free AI courses on AWS Skill Builder
AWS Skill Builder, the company’s online learning platform, offers more than 220 free AI courses covering everything from foundational AI concepts to advanced topics such as Generative AI and agentic AI. Learners can progress at their own pace and integrate study around existing work.
Practical learning and real-world application
AWS has developed interactive learning experiences that replicate workplace scenarios and provide instant feedback. These include the AWS Skill Builder Meeting Simulator, Cohorts Studio, microcredentials, and the AWS Certified Generative AI Developer – Professional certification.
The Meeting Simulator helps users improve communication skills by engaging with AI-driven characters in realistic workplace situations, such as explaining AI solutions to executives or collaborating with IT teams.
Collaborative team learning
Cohorts Studio allows Skill Builder Team subscribers to learn together through shared study groups, bootcamps, and challenges. Teams can monitor progress via live leaderboards and use AI tools to tailor learning schedules and content.
New AWS AI certifications
From 18th November 2025, professionals can register for the beta of the AWS Certified Generative AI Developer – Professional exam. The certification validates skills in foundation models, retrieval-augmented generation (RAG) architectures, and responsible AI deployment. It complements AWS’s existing credentials for AI practitioners, machine learning engineers, and data engineers.
Hands-on microcredentials
AWS has also introduced microcredentials on Skill Builder to validate specific, job-ready abilities. The first two – AWS Serverless Demonstrated and AWS Agentic AI Demonstrated – require learners to troubleshoot and implement solutions in simulated AWS environments.
Getting started
Learners can explore AWS Skill Builder’s 1,000+ free resources covering Cloud computing, AI, and data science to begin their training or enhance existing skills.
For more startup news, check out the other articles on the website, and subscribe to the magazine for free. Listen to The Cereal Entrepreneur podcast for more interviews with entrepreneurs and big-hitters in the startup ecosystem.
