HomeNewsAmazon Web Services (AWS) AI & ML Scholars Program 2026

Amazon Web Services (AWS) AI & ML Scholars Program 2026

The AWS AI & ML Scholars Program 2026 is a global, fully funded opportunity designed to help learners build in-demand skills in Artificial Intelligence (AI) and Machine Learning (ML). Powered by AWS Skill Builder, this program aims to train up to 100,000 participants worldwide, equipping them with practical, career-ready AI knowledge.

Whether you are a student, an early-career professional, or someone looking to switch careers, this program offers a structured pathway to enter the fast-growing AI industry.

Overview of the AWS AI & ML Scholars Program

The AWS AI & ML Scholars Program is designed to provide foundational and advanced AI training using real AWS tools and technologies. Participants will learn through hands-on projects, real-world applications, and industry-relevant content.

The program is divided into two main phases, allowing learners to progress from beginner-level knowledge to specialized AI career tracks.

Who Can Apply?

The program is open to a wide range of applicants globally. You are eligible if you:

  • Are 18 years or older
  • Have no prior experience in AI or ML (beginners are welcome)
  • Are you a student, early-career professional, or career switcher
  • Are motivated to learn and build AI skills

This inclusive approach makes the program accessible to anyone interested in entering the AI field.

Also Apply For: Google PhD Fellowship Program 2026 (Fully Funded)

Program Structure

Phase 1: Challenge Phase

  • Application Period: March 24 – June 24, 2026
  • Participants: Up to 100,000 learners worldwide
  • Cost: Fully funded by AWS

During this phase, learners will complete the AWS AI Practitioner Learning Plan, which includes:

  • Introduction to AI and generative AI technologies
  • Natural Language Processing (NLP) and computer vision basics
  • Hands-on experience with AWS tools like Amazon PartyRock and Amazon Bedrock
  • Data preparation, model training, deployment, and monitoring
  • Responsible AI practices and real-world case studies

Participants who successfully complete this phase will receive a Certificate of Completion.

Phase 2: Udacity Nanodegree Program

  • Duration: August 4 – November 4, 2026
  • Participants: Top 4,500 learners from Phase 1

The best-performing participants will be awarded a fully funded Udacity Nanodegree scholarship, where they will specialize in one of three career-focused tracks.

Learning Journey: Step-by-Step

Step 1: Build Your AI Foundation

Start with the AWS learning plan and gain practical knowledge using real tools and technologies. This phase focuses on building strong fundamentals.

Step 2: Extend Your Learning

After completing the Challenge Phase, learners receive 3 months of AWS Skill Builder access, allowing them to deepen their knowledge and explore more advanced content.

Step 3: Specialize in AI Career Tracks

Top performers advance to specialized Nanodegree programs aligned with real-world job roles.

AI Career Tracks Available

1. Future AWS AI Programmer

This track is ideal for learners who want to build strong technical skills in AI and ML.

You will:

  • Learn advanced Python programming
  • Train machine learning models using PyTorch
  • Explore neural networks and transformers
  • Work on data analysis and visualization

This path prepares you for roles in AI development and engineering.

2. Future AWS Agentic AI Business Professional

This track is designed for professionals who want to use AI in business without heavy coding.

You will:

  • Build AI-powered business intelligence solutions
  • Use AWS tools like Amazon QuickSight
  • Analyze and transform data for decision-making
  • Automate workflows and business processes

This pathway focuses on applying AI to solve real business problems.

3. Future AWS Agent Engineer

This advanced track is for learners who want to build production-level AI systems.

You will:

  • Work with Amazon Bedrock and advanced AI models
  • Learn prompting techniques and Retrieval-Augmented Generation (RAG)
  • Build single-agent and multi-agent AI systems
  • Develop real-world projects like AI supply chain systems and travel assistants

This track prepares you for high-level AI engineering roles.

Key Benefits of the Program

Participants in the AWS AI & ML Scholars Program enjoy several benefits:

Important Dates and Timeline

  • Applications Open: March 24, 2026
  • Application Deadline: June 24, 2026
  • Assessment Sent: July 5, 2026
  • Assessment Deadline: July 13, 2026
  • Nanodegree Selection Announcement: July 27, 2026
  • Nanodegree Program: August 4 – November 4, 2026

About Amazon Web Services (AWS)

Amazon Web Services (AWS) is one of the world’s leading cloud computing platforms, offering over 200 cloud services globally. It supports millions of customers, including startups, enterprises, and government organizations, helping them innovate, scale, and reduce costs.

Why You Should Apply

The AWS AI & ML Scholars Program 2026 is a powerful opportunity for anyone looking to build a career in AI. It offers:

  • Free access to world-class training
  • Hands-on experience with industry tools
  • Career-focused learning paths
  • Opportunities to stand out in the job market

With AI shaping the future of technology, gaining these skills now can give you a strong competitive advantage.

Apply Now!

If you are serious about entering the AI and machine learning space, the AWS AI & ML Scholars Program 2026 is a great place to start. From beginner-friendly training to advanced specialization, this program provides everything you need to build a successful AI career.

Apply early, stay consistent, and make the most of this fully funded opportunity.

For more information, visit the AWS AI & ML Scholars Program.

Brito C
Brito C
Chukwuemeka Bright is a content writer and SEO specialist with over six years of experience. A Computer Science graduate from Alex Ekwueme Federal University, Ndufu-Alike (2022), he is a Senior Content Editor at Charge9ja, specializing in entertainment, business, and tech content.
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