The AWS AI ML Scholars 2026 is a global initiative designed to help aspiring learners build careers in artificial intelligence and machine learning. Offered in collaboration with Amazon Web Services and Udacity, this program provides free access to high-quality AI education and career development resources.
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.
Benefits of AWS AI ML Scholars 2026
- Free access to Udacity AI and ML courses
- Fully funded AI and machine learning training
- Online and self-paced learning format
- Mentorship and community support
- Opportunity to earn Udacity Nanodegree scholarships
- Global networking with fellow learners
- Certificate of completion
- Three months of AWS Skill Builder access for Challenge Phase completers
Eligibility Criteria for the AWS AI ML Scholars 2026
- Open to learners 18 years and older
- No prior AI or ML experience required
- Open to learners worldwide
- Designed for students, early-career professionals and motivated career switchers
- Basic Python knowledge
- English proficiency
How to Apply for AWS AI ML Scholars 2026
- Submit the online application form on the Udacity website
- Apply between: 03/24/2026 – 06/24/2026
- Self-enroll in the program by completing the application beginning on March 24, 2026
Frequently Asked Questions (FAQs)
Here are the most frequently asked questions about the AWS AI ML Scholars 2026. These answers cover eligibility, benefits, deadlines, and how to apply.
What is the AWS AI ML Scholars 2026 Program?
AWS and Udacity are partnering to offer a beginner-friendly course in Generative Artificial Intelligence (AI), focusing on its historical context, core Machine Learning (ML) concepts, and real-world applications.
What does this Challenge AWS AI ML Scholars 2026 entail?
AWS AI ML Scholars 2026 is available to all eligible learners who complete the enrollment application on the program website within the program duration.
What is the eligibility criteria to enroll?
Applicants must meet the following criteria: Submit the online application form on the Udacity website, be 18 years of age or older, have basic Python knowledge, and English proficiency.
Are there any fees for enrollment?
No, there is no cost incurred to the learner.
What is the duration of the Challenge AWS AI ML Scholars 2026?
AWS AI ML Scholars 2026 will accept applications from March 24, 2026. It means a student can join at any time when the program is active up until the program reaches 100,000 enrollees. The program is self-paced during the scholarship duration, which means you can finish at your own pace before the classroom end date of June 24, 2026.
How do I enroll in the Challenge AWS AI ML Scholars 2026?
Learners can self-enroll in the program by completing the application beginning on March 24, 2026. To learn more, please visit the program website.
What is the AWS AI ML Scholars 2026 timeline?
3/24/2026 – 6/24/2026: Application Form Open on Udacity Website and Challenge Phase. 7/05/2026: Assessment sent via email. 7/13/2026: Assessment deadline. 7/27/2026: Nanodegree program recipients announced. 8/04/2026 – 11/04/2026: Udacity Nanodegree.
Will I receive access to AWS SkillBuilder?
New this year, learners who successfully graduate from the Challenge Phase will receive a free 3-month subscription to AWS Skill Builder, an online learning center for building cloud and AI skills. With AWS Skill Builder, learners can access hundreds of digital training courses, hands-on labs, curated learning plans, certification exam preparation resources, and interactive learning experiences created by AWS experts to help deepen cloud and AI knowledge.
Will I get a certificate if I successfully complete the Challenge track?
You will be able to download your Certificate of Completion once you have completed 100% of the content and passed the two projects included in this Challenge course. You will have detailed instructions on how to complete these projects inside your classroom.
How to be eligible for the certificate of completion?
To download your certificate, you must successfully complete 100% of your Introducing Generative AI with AWS track (finish the content and pass the projects) within the timeframe allotted.
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