AI isn't replacing IT roles — it's becoming part of every IT role. This track is built for absolutely anyone: Dev, QE, Support Engineer, Business Analyst, Data Engineer, Manager, HR, or any other role. You don't need to already be technical, and you don't need to already know how to code — that's part of the journey itself, not a prerequisite for it.
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.
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.
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.
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.
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.