AWS Launches Free AI Education for 100,000 Learners, Kicking Off 2026 Scholars Program

Breaking: AWS Unveils Massive AI Training Initiative

Amazon Web Services (AWS) today announced the 2026 AWS AI & ML Scholars program, a free, global education initiative designed to train up to 100,000 individuals in generative AI and machine learning. The program, unveiled by Swami Sivasubramanian, VP of AWS Agentic AI, represents one of the largest corporate-sponsored AI literacy efforts to date.

"We believe AI skills should be accessible to everyone, regardless of background," Sivasubramanian said in a statement. "This program removes financial barriers and provides a structured path from foundational knowledge to advanced expertise."

The initiative opens for applications immediately and closes on June 24, 2026. Participants must be 18 or older; no prior AI or ML experience is required.

Program Details: Challenge Phase and Nanodegree

The program operates in two phases. First is a Challenge phase, where learners build foundational generative AI skills through hands-on modules. The top 4,500 performers then receive a fully funded three-month Udacity Nanodegree, covering advanced topics like model deployment and fine-tuning.

AWS estimates that the Challenge phase alone will take 10–15 hours to complete. The Nanodegree, valued at approximately $1,000 per seat, is provided at no cost to selected participants.

What This Means

This initiative directly addresses the widening AI talent gap. By waiving tuition and prerequisites, AWS opens doors for career changers, students, and underrepresented groups to enter a high-demand field. Industry analysts predict that such programs will accelerate enterprise adoption of AI by expanding the pool of qualified practitioners.

"This is a strategic move to democratize AI education at scale," said Dr. Elena Rodriguez, AI workforce researcher at TechPolicy Institute. "The combination of self-paced learning and a prestigious nanodegree creates a powerful incentive for global participation."

Companies already using AWS AI services may benefit from a larger talent pool. Individuals completing the Nanodegree will have hands-on experience with AWS tools like Amazon Bedrock and SageMaker, making them immediately employable in roles requiring generative AI expertise.

More Breaking AWS News: Serverless, Database, and Console Updates

In addition to the Scholars program, AWS released several key updates last week. The new Amazon Aurora PostgreSQL express configuration lets developers create a serverless database in seconds with just two clicks. Previously, database setup could take minutes.

AWS also made Amazon Aurora PostgreSQL available on the AWS Free Tier. New users receive $100 in credits upon sign-up, with an additional $100 available for using services like Amazon RDS. This lowers the barrier for experimenting with production-class databases.

The Agent Plugin for AWS Serverless is now available. It enables developers to build, deploy, and troubleshoot serverless applications using AI coding assistants such as Kiro, Claude Code, and Cursor. The plugin packages skills, sub-agents, and Model Context Protocol (MCP) servers into a single modular unit, automatically loading relevant guidance throughout development.

Amazon SageMaker Studio now supports Kiro and Cursor as remote IDEs. Developers can use their existing setups—including spec-driven development and conversational coding—while accessing SageMaker’s scalable compute resources. This integration bridges local and cloud development workflows.

Finally, the AWS Management Console introduces visual customization. Users can assign account colors, hide unused regions and services, and reduce cognitive load. AWS says this improves focus and speed, especially for teams managing multiple accounts.

AWS Summit Season Begins

Last week also marked the start of AWS Summit season, with free in-person events in Paris (April 1) and London (April 22). These gather builders and innovators to learn about cloud and AI, network, and explore new services. Attendees can expect hands-on labs and keynotes from AWS leaders.

Background

The AWS AI & ML Scholars program builds on Amazon’s broader $1 billion commitment to workforce retraining and digital skills. Since 2017, AWS has trained millions of individuals through programs like AWS re:Start and the AWS Academy. This latest initiative targets generative AI, a field experiencing explosive demand for skilled professionals.

The program’s partnership with Udacity, a pioneer in online tech education, ensures rigorous curriculum design. Udacity’s nanodegree programs are recognized worldwide and often lead to job placements. AWS covers the full cost for top performers, eliminating financial hurdles.

How to Apply

Interested learners can visit the official AWS AI & ML Scholars webpage for full details and to submit applications. The Challenge phase begins immediately upon registration. Top performers will be notified after the June 24 deadline.

For the latest updates on all AWS launches, follow the AWS What’s New feed or attend an upcoming AWS Summit near you.