Foundations — No Coding Knowledge Required
We start from zero, with no assumption that you can already code. You'll pick up the basic coding and technical literacy AI work actually needs as part of this journey itself — more than enough to become a capable AI Engineer, even if you've never written a line of code before.
Prompt Engineering
How to actually get reliable, high-quality output from Claude, ChatGPT, Gemini, and Copilot — structuring prompts, providing context, iterating, and avoiding the common mistakes that make AI output generic or wrong.
Model Context Protocol (MCP) & Building Real AI Agents
How MCP connects AI models to real tools and data sources, and how to design and build AI agents that actually do useful work — not just chatbots, but agents wired into real workflows.
RAG — Retrieval-Augmented Generation
How to ground AI systems in your own data — documents, knowledge bases, and internal systems — so outputs are accurate and specific, not generic hallucinated answers.
Applying GenAI to Your Actual Role
Integrating everything into your real, existing workflow — whatever your role is — plus every new GenAI capability as it lands, so what you learn keeps working after the mentorship ends.
- Real, hands-on comfort with AI tools — not just "I tried ChatGPT once"
- The basic coding and technical literacy AI work needs, even starting from zero
- A working AI agent or RAG project you built yourself, ready to show and talk through
- A clear story for how you became AI-enabled, backed by something real you built
Start with a 1:1 session, not a guess.
