The AWS AI & ML Scholars program, delivered by Udacity in collaboration with Amazon Web Services, is designed to equip learners with in-demand artificial intelligence and machine learning skills. Powered by AWS Skill Builder, the initiative aims to train up to 100,000 participants globally in foundational AI and agentic AI capabilities aligned with real industry needs. The program focuses on practical, hands-on learning experiences, enabling participants to work with real AWS tools while developing career-relevant expertise. Building Career-Ready AI Skills The program empowers learners to build strong AI foundations that support career advancement. Participants engage in structured learning paths and gain exposure to real-world AI applications. Key outcomes include: Development of foundational AI and generative AI knowledge Hands-on experience with AWS tools such as Amazon PartyRock and Amazon Bedrock Understanding of responsible AI practices and ethical implementation Exposure to practical use cases across industries Graduates of the initial phase also receive three months of AWS Skill Builder access, allowing them to deepen their knowledge and continue skill development beyond the core curriculum. Eligibility and Accessibility The AWS AI & ML Scholars program is designed to be inclusive and accessible to a global audience. It welcomes individuals from diverse educational and professional backgrounds. Eligibility criteria include: Applicants must be 18 years or older No prior experience in AI or machine learning is required Open to participants worldwide Suitable for students, early-career professionals, and career switchers This inclusive approach ensures that learners at different stages can benefit from AI education and career development opportunities. Program Structure and Phases The program is divided into two key phases, each designed to progressively build skills and expertise. Phase 1: Challenge Phase Application period: March 24, 2026 – June 24, 2026 Open to up to 100,000 learners globally Fully funded by AWS Based on the AWS AI Practitioner Learning Plan Self-paced learning with practical exercises Certificate of Completion awarded upon successful participation Phase 2: Udacity Nanodegree Runs from August 4, 2026 – November 4, 2026 Available to the top 4,500 performers from Phase 1 Fully funded Nanodegree scholarship Focused on specialized, career-aligned AI tracks Includes project-based learning for portfolio development This structured pathway ensures both accessibility and progression toward advanced expertise. Learning Journey and Key Skills Participants begin by building a strong AI foundation through guided learning and hands-on practice. The program emphasizes real-world application of concepts. During the Challenge Phase, learners explore: Core AI concepts and generative AI technologies Natural language processing and computer vision applications Data preparation, model training, deployment, and monitoring Responsible AI principles and case studies This approach ensures that learners gain both theoretical understanding and practical experience. Advanced Career Specializations Top-performing participants advance to specialized Nanodegree tracks aligned with high-demand AI roles. These tracks are designed to prepare learners for real-world careers. Future AWS AI Programmer Advanced Python programming for data analysis and visualization Machine learning model development using PyTorch Exploration of neural networks and transformer models Preparation for entry-level Python certification concepts Future AWS Agentic AI Business Professional Use of AWS tools for business intelligence and analytics Data transformation and visualization using QuickSight Design of AI-driven decision-making systems Automation of workflows and business processes Future AWS Agent Engineer Development of AI systems using Amazon Bedrock and advanced models Application of prompting strategies and Retrieval-Augmented Generation (RAG) Building single-agent and multi-agent AI systems Creation of portfolio projects such as AI agents and automated systems These tracks provide learners with job-ready skills and practical experience for AI-focused careers. Program Timeline The AWS AI & ML Scholars program follows a structured timeline to guide participants through each stage: March 24 – June 24, 2026: Applications and Challenge Phase July 5, 2026: Assessment distribution July 13, 2026: Assessment deadline July 27, 2026: Announcement of Nanodegree recipients August 4 – November 4, 2026: Nanodegree program This timeline ensures a clear progression from foundational learning to advanced specialization. About AWS Amazon Web Services is a global leader in cloud computing, offering over 200 fully featured services from data centers worldwide. It supports millions of customers, including startups, enterprises, and government organizations, enabling them to innovate, scale operations, and reduce costs. Through programs like AWS AI & ML Scholars, AWS continues to invest in global talent development and digital transformation. VISIT OFFICIAL WEBSITE TO APPLY For more opportunities such as these please follow us on Facebook, Instagram, WhatsApp, Twitter, LinkedIn and WPChannel Disclaimer: Global South Opportunities (GSO) is not the organization offering the scholars program. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.