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Fully Funded Scholarships 2026 NEWS

AWS AI and ML Scholars Program 2026 Opens 100,000 Free Seats Globally

The AWS AI and ML Scholars Program 2026 is a global training initiative jointly delivered by Amazon Web Services and Udacity, offering up to 100,000 learners free access to foundational AI and machine learning education. The programme carries no cash stipend; its value lies in fully funded training, a three-month AWS Skill Builder subscription, and — for the top 4,500 performers — a fully funded Udacity Nanodegree. Applications are open until June 24, 2026.

AWS AI & ML Scholars 2026: Program Overview

Category AWS AI and ML Scholars Program Details
Provider Amazon Web Services (AWS) in collaboration with Udacity
Total Seats 100,000 for Challenge Phase | 4,500 for Full Nanodegree
Funding Type 100% Fully Funded (Training, Assessment, and Nanodegree)
Target Audience Students, early-career professionals, and career switchers (18+)
Eligibility No prior AI/ML or coding experience required
Challenge Phase March 24 – June 24, 2026 (Foundational generative AI training)
Key Tool Amazon PartyRock (Hands-on generative AI app building)
Assessment Dates Sent: July 7, 2026 | Deadline: July 13, 2026
Nanodegree Tracks AI Programmer, Agentic AI Business Professional, or Agent Developer
Program Start August 4, 2026
Program End November 4, 2026

AWS AI and ML Scholars Program 2026: The Partnership Behind It

Amazon Web Services and Udacity are not an obvious pairing at first glance — one is the world’s largest cloud infrastructure provider, the other a Silicon Valley-born online learning platform built specifically to close the gap between university education and industry hiring needs.

The AWS AI and ML Scholars Program was created to expand access to foundational AI education for learners who may not have had access to this kind of training, positioning it as a workforce development initiative rather than a conventional scholarship.

In its 2025 edition, the programme reached more than 50,000 learners across 170 countries, establishing it as one of the largest industry-backed AI training efforts aimed at the general public. The AWS AI and ML Scholars 2026 cohort doubles that ambition, targeting 100,000 participants. Udacity’s role as an AWS Training Partner means the Nanodegree credentials awarded to top performers carry direct alignment with AWS hiring standards — a detail that matters considerably more than the programme’s cost-free entry point.

AWS AI and ML Scholars 2026: From Free Training to Funded Nanodegree

AWS AI and ML Scholars runs in two distinct phases. The Challenge Phase, open to all enrollees through June 24, covers AI fundamentals via the AWS AI Practitioner Learning Plan, with hands-on work using tools including Amazon Bedrock and Amazon PartyRock. Every learner who completes the Challenge Phase receives a certificate of completion and three months of AWS Skill Builder access, which includes expert-led digital courses, certification exam preparation, and interactive lab environments. That alone has measurable career value.

The more competitive outcome comes next: the top 4,500 performers, selected on assessment results from July 5 to 13, advance to a fully funded Udacity Nanodegree running from August 4 to November 4, 2026, across three tracks — AI Programmer, Agentic AI Business Professional, and Agent Developer. In 2025, the AWS AI and ML Scholars Program served more than 50,000 learners from over 170 countries. The 2026 target of 100,000 represents a significant scale-up.

AWS AI and ML Scholars Program Eligibility: Who Qualifies Worldwide

The AWS AI and ML Scholars 2026 is open to learners from any country, with no prior experience in AI, machine learning, or cloud required. Students, career changers, and early professionals all qualify. Applicants must be 18 years or older.

The programme is entirely online and self-paced during the Challenge Phase, requiring approximately 10 hours of total coursework. The only real constraint is commitment — candidates must complete the course and submit projects before the classroom closes on June 24 to remain eligible for the Nanodegree assessment.

AWS AI and ML Scholars 2026: The Complete Roadmap

The AWS AI & ML Scholars Program 2026 has reinvented its entry requirements, ditching the DeepRacer track for a performance-heavy Challenge Phase that runs from March 24 to June 24, 2026. This 15-hour foundational sprint on Udacity isn’t just theory; you must actively build a generative AI application using Amazon PartyRock to even be considered.

Survivors of this phase face a final assessment window between July 7 and July 13, a high-stakes filter that selects only the top 4,500 performers for the fully-funded Nanodegree. If you make the cut, you’ll choose from three career-critical tracks—Future AWS AI Programmer, Future AWS Agentic AI Business Professional, or Future AWS Agent Developer—with the specialized training officially kicking off on August 4, 2026.

For students who have been building AI knowledge independently, the AWS AI and ML Scholars Program 2026 offers something harder to find than course content: an industry-credentialed certificate from AWS, a structured Nanodegree from Udacity, and documented project work that reads clearly to technical hiring managers.

The June 24 deadline applies to enrolment and course completion simultaneously. Applicants should begin immediately through the official Udacity scholarship portal rather than treating the deadline as a future problem.

AWS AI and ML Scholars 2026: What the Nanodegree Tracks Lead To

The three Nanodegree tracks inside the AWS AI and ML Scholars Program are not interchangeable. The AI Programmer track is built for candidates pursuing technical development roles, covering Python, PyTorch, neural networks, and transformer models — the foundational stack for most junior AI engineering positions.

The Agentic AI Business Professional track takes a different angle entirely, using Amazon Quick Suite to build AI agents and business intelligence solutions without writing code, targeting analysts, operations professionals, and non-technical managers who need AI fluency without a programming background.

The Agent Developer track sits between the two, focusing on designing and deploying autonomous AI agents using AWS infrastructure. For the top 4,500 selected into the Nanodegree phase, choosing the right track is arguably the most consequential decision in the entire programme — not the application itself.

AWS AI & ML Scholars 2026: Frequently Asked Questions

Q. Is there a strict prerequisite like DeepRacer for the AWS AI & ML Scholars 2026?

Answer: No. The AWS AI & ML Scholars 2026 program has replaced DeepRacer with a performance-based Challenge Phase. To qualify, you must complete 15 hours of coursework and build a generative AI app using Amazon PartyRock by June 24, 2026.

Q. Does the AWS AI & ML Scholars 2026 cover living expenses or travel?

Answer: No. The AWS AI & ML Scholars 2026 is a 100% tuition-only scholarship. It fully funds the cost of the Udacity Nanodegree and specialized training (valued at over $4,000), but it does not provide stipends for living costs, hardware, or travel.

Q. Can I enroll in all three Nanodegree tracks under the AWS AI & ML Scholars 2026?

Answer: No. If selected for the AWS AI & ML Scholars 2026 full award, you must choose one specific track: AI Programmer, Agentic AI Business Professional, or Agent Developer. Your choice defines your curriculum for the August 4 – November 4 session.

Engr Nida Sangal

Nida Sangal is an IT graduate, international education journalist, and scholarships mentor whose work sits at the intersection of technology, global student mobility, and access to funded higher education. She covers scholarship announcements, fellowship cycles, university funding decisions, and the policy developments shaping international student recruitment across North America, Europe, Asia-Pacific, and the Gulf. Drawing on a technical background in information technology and years of direct mentorship experience guiding applicants through competitive scholarship processes worldwide, Sangal brings a practitioner's precision to her reporting. Her coverage goes beyond announcement summaries — she interrogates funding mandates, tracks shifts in eligibility criteria across academic cycles, and contextualizes individual awards within the structural forces driving global higher education access, from rising tuition costs and bilateral education agreements to the expanding role of foundation philanthropy in developing-world student funding. As a scholarships mentor with a global following, Sangal understands what applicants actually need from scholarship journalism: not recycled listings, but timely, accurate reporting that helps serious candidates make informed decisions about where to apply, when, and why. That reader-first discipline shapes every article she writes. She reports for Fully Funded Scholarships as a Senior Correspondent, covering government-sponsored scholarship programmes, university-administered awards, research fellowships, and international internship funding across all academic levels — undergraduate through postdoctoral.

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