The demand for specialized expertise in artificial intelligence and machine learning is reaching unprecedented levels as industries worldwide integrate cloud-based AI solutions. For students and early-career professionals, the primary obstacle to entering this high-growth field is often the cost of advanced technical training. The AWS AI and ML Scholarship program, delivered in partnership with Udacity, addresses this gap by providing a comprehensive, fully funded educational pathway for 100,000 learners globally.

This guide outlines the 2026 program structure, the specialized learning tracks available, and the steps required to secure a place in this prestigious initiative.

Program Overview and Objectives

The AWS AI and ML Scholarship is designed to cultivate a new generation of technical talent by making high-level training accessible to a global audience. The 2026 iteration of the program focuses on ‘Agentic AI’—the next frontier of machine learning where AI systems can act as autonomous agents to solve complex business problems.

By removing financial barriers, the program empowers motivated individuals to gain hands-on experience with the same tools used by professional engineers at Amazon Web Services.

The Two-Phase Scholarship Structure

To ensure a high standard of technical proficiency, the program is divided into two distinct phases:

Phase 1: The Challenge Phase

The initial phase is open to 100,000 applicants. This self-paced foundational period is based on the AWS AI Practitioner Learning Plan. Participants explore:

• Core AI Concepts: Understanding the building blocks of generative AI and traditional machine learning.
• AWS Hands-on Tools: Practical experience with Amazon PartyRock, Amazon Bedrock, and Amazon Q.
• Responsible AI: Learning the ethical frameworks and best practices for deploying AI at scale.

All participants who complete this phase receive a certificate and three months of access to AWS Skill Builder to continue their self-guided education.

Phase 2: The Fully Funded Nanodegree

The top 4,500 performers from the Challenge Phase are awarded a full scholarship for a specialized Udacity Nanodegree. These three-month intensive programs are project-based and designed to build a professional portfolio.

Specialized Career Tracks

Scholarship recipients in Phase 2 can choose from three career-aligned tracks, each focused on a different aspect of modern AI implementation:

Track	Focus Area	Key Skills Acquired
AI Programmer	Technical Foundations	Python for data analysis, PyTorch, and neural network optimization.
Agentic AI Business Professional	Business Integration	Designing AI-driven decision systems and automating intelligence workflows.
Agent Developer	Advanced Systems	Building multi-agent systems using Amazon Bedrock and RAG (Retrieval-Augmented Generation).

Eligibility and Selection Criteria

The scholarship is designed for students, career switchers, and professionals who are 18 years of age or older. Because the program is hosted online, it is available to learners worldwide, provided they have a reliable internet connection.

Key selection factors for the Nanodegree phase include:

• Successful Completion: Finishing all foundational modules in the Challenge Phase.
• Assessment Performance: Scoring highly on the technical evaluation sent to participants in July.
• Curiosity and Commitment: Demonstrating a clear intent to apply these skills in a professional or academic context.

Key Benefits for Participants

1. Mastery of Cloud Ecosystems: AWS remains the most widely adopted cloud platform globally. Gaining proficiency in its AI suite—specifically Amazon Bedrock and Amazon Q—provides a significant advantage in a competitive job market.

2. Portfolio-Ready Projects: Udacity’s Nanodegree programs focus on ‘learning by doing.’ Graduates complete the program with a series of verified projects that can be showcased to recruiters as proof of technical capability.

3. Professional Certification Prep: The curriculum is strategically aligned with the requirements for the AWS Certified AI Practitioner exam, providing a clear path toward earning a globally recognized industry credential.

Important Dates

• March 24 – June 24, 2026: Applications and Challenge Phase open.
• July 7, 2026: Technical assessment sent via email.
• July 13, 2026: Assessment deadline.
• August 4, 2026: Nanodegree phase begins for the top 4,500 scholars.
• November 4, 2026: Nanodegree program completion.

Conclusion

The AWS AI and ML Scholarship represents a transformative opportunity for anyone looking to specialize in the field of artificial intelligence. By combining the infrastructure of AWS with the project-based pedagogy of Udacity, this program provides a direct route from foundational knowledge to job-ready expertise. Whether you are a student looking to supplement your degree or a professional aiming to pivot, this scholarship provides the tools and the platform to succeed in the digital economy.