Develop foundational and Agentic AI skills that reflect real industry needs with the fully-funded AWS AI & ML Scholars program. Join a global community of 100,000 learners to build job-ready portfolios, earn up to three months of AWS Skill Builder access, and compete for 4,500 highly-coveted Udacity Nanodegree scholarships.
Phase 1: The Challenge Phase & Core Projects
- Foundational AI Mastery: Explore core concepts of generative AI, natural language processing (NLP), computer vision, and responsible AI best practices utilizing real AWS cloud services.
- Project 1 (Productivity App): Build and test a reusable, shareable wellness or productivity app using Amazon PartyRock. The app must include at least 2 input fields, 2 output widgets, and utilize Automated Prompt Engineering to solve “Blank Page Syndrome.”
- Project 2 (Data Analysis): Leverage PartyRock’s embedded OLAP engine to extract insights from datasets (like Air Quality or Body Measurements). You must query the data at least three times, generate an analysis table in .csv format, and submit a mandatory reflection on the AI’s accuracy.
- AWS Skill Builder Access: Successfully graduate from the Challenge Phase by passing both projects to earn a 3-month free subscription to AWS Skill Builder, unlocking hundreds of digital training courses and AI certification prep materials.
Phase 2: Udacity Nanodegree Specialized Tracks
The top 4,500 learners—selected based on assessment performance—will advance to a fully funded Udacity Nanodegree running from August 4 to November 4, 2026. You will specialize in one of three tracks:
- Future AWS AI Programmer: Designed for technical builders. Master advanced Python, train machine learning models using PyTorch, and explore complex neural networks and transformers.
- Future AWS Agentic AI Business Professional: Designed for no-code/low-code business leaders. Use Amazon QuickSight to transform datasets, build BI solutions, and design AI-driven workflows to automate business intelligence.
- Future AWS Agent Engineer: Designed for advanced system architects. Build production-grade single and multi-agent systems using Amazon Bedrock, Amazon Nova models, and Retrieval-Augmented Generation (RAG) to create real-world tools like a supply chain AI agent.
Eligibility & Timeline Requirements
- Basic Eligibility: Must be 18 years or older, globally located, proficient in English, and possess a basic knowledge of Python. No prior AI/ML experience is required.
- March 24 – June 24, 2026 (Challenge Phase): Applications open via Udacity. You must complete 100% of the self-paced coursework and pass both projects before the classroom strictly closes on June 24.
- July 5 – July 13, 2026 (Assessment Window): Eligible completers will receive a track-specific assessment via email. This test determines who wins the Nanodegree scholarship.
- July 27, 2026 (Announcement): Official announcement of the 4,500 Nanodegree program recipients.
Technical Edge: Why Amazon PartyRock & OLAP Engines matter for this scholarship?
Transitioning from passive generative AI usage to building Agentic AI requires mastering architecture that handles logic rather than just generating text. Amazon PartyRock abstracts backend API orchestration and infrastructure scaling completely. However, its real enterprise power lies in data handling. Foundation Models natively process information as a linear stream of tokens, making them inherently poor at reading structured 2D grid data like spreadsheets. By embedding a high-performance OLAP (Online Analytical Processing) engine like DuckDB directly into the application, PartyRock inspects data schemas to generate precise SQL queries. The OLAP engine executes the math deterministically, and the numeric result is returned to the LLM to summarize. Mastering this workflow transitions you from a mere AI user to a developer capable of architecting robust, data-driven Agentic pipelines.
Recru By Egyincs Golden Advice for the Assessment
To secure one of the elite 4,500 Udacity Nanodegrees, you must achieve a flawless score on your July assessment and Challenge projects. For Project 1, do not submit a generic chatbot; evaluators are testing your grasp of Variable Injection. Ensure your PartyRock app forces user inputs into a frozen prompt template to guarantee consistent outputs. For Project 2, when analyzing data with PartyRock, explicitly structure your prompts to force the LLM to outline the SQL query logic before delivering the final insight. Demonstrating a deep understanding of how visual concepts (Latent Space image generation) and deterministic math (OLAP queries) function under the hood will maximize your assessment scoring and perfectly position you for the advanced “Future AWS Agent Engineer” track.
Comprehensive Frequently Asked Questions (FAQ)
Q: Are there any fees for enrollment, and can I pause my learning?
A: There are absolutely no costs incurred by the learner for any phase of this program. However, there are no withdrawal or postponing options available. You must commit to completing the roughly 10 hours of Challenge Phase coursework by June 24, 2026.
Q: How does PartyRock generate images compared to text?
A: Unlike text models that process linear tokens, PartyRock uses an Image Playground architecture that navigates a map of visual concepts called “Latent Space”. It starts with pure random noise (static) and iteratively removes the noise guided by your prompt’s vectors to “hallucinate” a clear image.
Q: What happens if I miss the project deadlines or fail the assessment?
A: The Challenge classroom officially closes on June 24, 2026. If you do not complete 100% of the content and pass both projects by this date, you will not receive your Certificate of Completion or AWS Skill Builder access, and you will not receive the July 5 assessment to compete for the Nanodegree.
Q: How will my Certificate of Completion be issued?
A: Once you complete the track and projects, a digital certificate will be generated automatically based on the name provided in your Udacity classroom settings. Make sure to edit your name in the settings before generating the certificate, as changes cannot be made afterward.
How to Apply for the AWS AI & ML Scholars Program
Learners can self-enroll in the program starting March 24, 2026. You must submit your online application directly through the official Udacity website. Important: Maintain the exact same email address you used to apply for the duration of the entire course to ensure your eligibility for the assessment and Nanodegree.
