AI Manager Mastery Path¶

Mastery Path

BOOTCAMP

VINOD BHANUJA

A structured, module-wise training program for managing AI initiatives, teams, and products — from your first AI project to setting AI strategy at the executive level. Every module ends with a real framework, template, or worked example you can adapt directly, plus a hands-on exercise.

This track is not about hands-on ML engineering — you won't write model training code here. It's about the management discipline around AI: scoping projects realistically, leading data science and ML teams, evaluating vendors and tools, managing risk and ethics, and communicating AI work to non-technical stakeholders. If you want the hands-on technical track instead — building and training models yourself — see AI/ML Mastery Path.

How the program is organized¶

Level	Focus	Modules
Level 1 · Entry	What AI management is, project lifecycles, working with data science/ML teams, ethics and risk basics	9 topics + 1 project
Level 2 · Intermediate	MLOps fundamentals, AI product metrics, data governance, cross-functional teams, procurement	9 topics + 1 project
Level 3 · Advanced	Scaling AI teams, governance & compliance, LLM/GenAI initiatives, talent strategy, ROI	9 topics + 1 project
Level 4 · Master	Executive AI strategy, org design, portfolio management, board reporting, career growth	9 topics + 1 capstone

How to use this site¶

Work through each level in order — later modules assume earlier ones.
Every topic page includes a concrete framework or template (formatted as a table or structured example, not code), plus a worked real-world example.
Each topic ends with an Exercise — a practical deliverable to produce using your own project or team as the subject.
Each level ends with a project that combines everything learned in that level into a real document: a charter, an MLOps process design, a governance framework, or a full strategy document.
Use the search bar (top of the page) to jump straight to a topic.

Start here → Level 1 · Entry

Who this is for¶

Engineering managers moving into AI/ML team leadership, product managers taking on AI features, technical program managers coordinating AI initiatives, and anyone who needs to plan, staff, budget, or govern AI work without necessarily writing the models themselves.

🎥 Prefer video? Watch the Mastery Path video series on YouTube — Shorts and full walkthroughs of these lessons.