The Udacity AWS AI ML Scholars Program 2026 is a fully funded global opportunity designed to equip learners with essential skills in artificial intelligence and machine learning. Delivered by Udacity in partnership with Amazon Web Services (AWS), this program provides hands-on training using industry-relevant tools and real-world applications.
As the demand for AI professionals continues to grow worldwide, this program offers a unique pathway for beginners and aspiring tech professionals to build practical skills without financial barriers. Whether you are a student, recent graduate, or career switcher, this scholarship 2026 provides a strong foundation for entering the field of artificial intelligence.
About the AWS AI ML Scholars Program
The AWS AI ML Scholars Program is a global initiative that aims to make AI education accessible to a wide audience. The program is structured to accommodate learners with little or no prior experience in artificial intelligence, making it an excellent entry point into the tech industry.
Participants gain access to high-quality learning content, practical exercises, and cloud-based tools powered by AWS. Through this structured learning approach, students can develop real-world skills that are directly applicable in today’s job market.
Purpose of the Program
The main goal of the program is to bridge the gap between education and industry demand in the field of artificial intelligence. It aims to:
- Provide foundational knowledge in AI and machine learning
- Enable learners to build practical, job-ready skills
- Increase accessibility to tech education globally
- Support career growth in emerging technology fields
By focusing on both theoretical knowledge and hands-on experience, the program prepares participants to take the next step in their professional journey.
Benefits of the Program
The Udacity AWS AI ML Scholars Program offers a wide range of benefits to participants, making it one of the most valuable fully funded opportunities available in 2026.
Participants will receive:
- Free access to a structured AI and machine learning curriculum
- Hands-on experience using AWS tools and platforms
- A certificate of completion after finishing the Challenge Phase
- Opportunity to earn a fully funded Udacity Nanodegree program
- Exposure to real-world AI applications and projects
One of the most significant advantages of this program is the chance to progress to the Nanodegree phase, where selected learners receive advanced training and build a professional portfolio.
Eligibility Criteria
To be eligible for the AWS AI ML Scholars Program 2026, applicants must meet the following requirements:
- Be at least 18 years old
- Have basic knowledge of Python programming
- Be proficient in English
- Be a student, early-career professional, or career switcher
The program is designed to be inclusive and accessible, meaning prior experience in artificial intelligence is not required. This makes it ideal for beginners who are motivated to learn and grow in the tech field.
Program Structure
The program is divided into two key phases, each designed to support learners at different stages of their journey.
Phase 1: Challenge Phase
The Challenge Phase is the entry point for all selected participants. During this stage, learners engage in self-paced online training that introduces core concepts in artificial intelligence and machine learning.
This phase includes:
- Interactive lessons and exercises
- Hands-on projects using AWS tools
- Practical exposure to AI concepts
- Certificate awarded upon successful completion
The Challenge Phase is designed to build foundational knowledge and prepare participants for more advanced learning opportunities.
Phase 2: Udacity Nanodegree
After completing the Challenge Phase, top-performing learners are selected to advance to the Nanodegree phase. This stage offers a deeper and more specialized learning experience.
Participants in this phase benefit from:
- Fully funded access to Udacity’s Nanodegree programs
- Advanced coursework in AI and machine learning
- Real-world projects to build a professional portfolio
- Career-focused learning outcomes
This phase is highly competitive, and selection is based on performance and engagement during the Challenge Phase.
How to Apply (Step-by-Step Guide)
Applying for the program is simple and entirely online. Follow these steps:
- Visit the official program page
- Complete the online application form
- Submit your application
- Wait for confirmation and enrollment
- Begin the Challenge Phase upon acceptance
Applicants are encouraged to ensure all information is accurate before submission to avoid delays in processing.
Application Deadline
June 24, 2026
Due to the high number of applications expected, candidates are advised to apply as early as possible to secure their spot in the program.
Duration
The program runs in two stages:
- Challenge Phase: March to June 2026
- Nanodegree Phase: August to November 2026
Each phase is structured to provide a comprehensive learning experience while allowing flexibility for participants.
Selection Process
The selection process is designed to identify motivated learners who are committed to developing their AI skills. It includes:
- Initial application review
- Enrollment into the Challenge Phase
- Performance evaluation during training
- Selection of top candidates for the Nanodegree phase
Consistency, engagement, and performance play a key role in advancing through the program.
Conclusion
The Udacity AWS AI ML Scholars Program 2026 stands out as a powerful opportunity for individuals looking to enter the field of artificial intelligence. With fully funded training, access to industry tools, and a clear pathway to advanced learning, this program provides everything needed to build a strong foundation in AI.
For anyone interested in technology, data, and innovation, this program offers a practical and accessible way to gain valuable skills and enhance career prospects. Applying early and staying committed throughout the program can significantly increase your chances of success.
Apply Here
Link: https://www.udacity.com/scholarships/aws-ai-ml-scholars
