AI Residency Roadmap: 20 Masterclasses to Become an AI Builder

Join the Decoding Data Science community for a special AI Residency preview session designed to help you understand the complete journey from learning AI concepts to building real AI applications.

In this session, we will walk through the 20-masterclass AI Residency pathway and show how each stage helps you move from AI curiosity to practical AI building. This is not just about learning tools or prompts. It is about understanding how modern AI applications are designed, built, tested, improved, and deployed.

We will break down the full learning journey, including foundations of generative AI, prompt and context engineering, AI agents, RAG systems, workflow automation, evaluation, observability, deployment, and real-world project thinking.

You will also understand how the AI Residency is structured, what kind of projects you will build, how the weekly masterclasses work, and how learners can move step by step toward becoming confident AI builders.

This session is ideal for students, professionals, data practitioners, developers, founders, product managers, and anyone who wants to build practical AI skills in 2026.

Key Takeaways:

Understand the full 20-masterclass AI Residency roadmap
Learn what skills matter for AI builders in 2026
See how AI applications are built beyond simple prompting
Explore the journey from GenAI foundations to agents, RAG, tools, and deployment

Understand how the AI Residency helps you build projects, confidence, and portfolio-ready work

Whether you are joining the AI Residency or still exploring, this session will give you a clear roadmap for your AI learning journey.