Become an AI PM in 5 weeks, Learn to design, evaluate, and scale production-ready AI agents using data-driven workflows and LLM-as-judge evals.
Description
Become a certified AI Product Manager in less than 5 weeks. Move beyond basic prompting to master the systematic engineering of reliable AI systems. This course transitions you from a builder to a strategic leader by teaching you the exact frameworks used to ship production-ready agents at scale.
The Path to Becoming an AI PM
- Week 1 – Master the AI PM Mindset & Fundamentals: Understand why AI products are probabilistic rather than deterministic and identify the core “Reliability Gap” that traditional teams fail to solve. You will set up your workspace and learn the fundamental scientific frameworks used by top-tier AI teams to fix reliability issues.
- Week 2 – Architect Complex AI Systems: Stop guessing with simple chat boxes and learn the science of prompt engineering. You will design sophisticated AI agents that utilize Prompting Roles, Tool Use, and Function Calling while architecting Structured JSON Outputs for machine-readable, professional results.
- Week 3 – Establish Data-Driven Experimentation & Feedback: Move beyond “vibes-based” testing to structured environments where you learn to measure what actually matters. Gain the technical “eyes” to see inside the machine using Traces and Spans, allowing you to create rigorous experiments with datasets to validate performance through data.
- Week 4 – Diagnosing & Automating Quality: Unlock the ability to scale by using human feedback and automated grading to ensure quality. You will learn Evaluations (Evals) Theory to choose the right eval type and build your own LLM-as-judge systems that grade thousands of production logs simultaneously.
- Week 5 – Implement the Continuous Reliability Loop: Learn that the job isn’t done at launch by mastering the full cycle of observation, annotation, and improvement. You will curate a Golden Dataset for Regression Testing, protecting your product from breaking as you update prompts, and perform Cost & Latency Optimization to ensure your production features stay fast and affordable.
Who this course is for:
- Aspiring AI Product Managers: Traditional PMs who want to transition into the AI space by learning the specific frameworks for reliability and evaluation.
- Product Builders & Founders: Anyone currently building or shipping AI features who wants to move past “vibes” and establish a scientific, data-driven workflow.
