About this program
A structured 12-week program for software engineers who want to transition into AI. You will build 3 portfolio projects (RAG pipeline, fine-tuned model, AI agent), get weekly code reviews, and leave with a proof-backed Outcome Card. Prerequisite: comfort with Python and basic ML intuition.
Program milestones
Get your dev environment set up, call your first LLM, and learn the prompt patterns that matter for production.
Proof you'll submit
Share a screenshot of your working chat API call + one prompt you optimised. Explain what changed and why.
Resources
Gets you from zero to first API call in 10 minutes.
Structured survey of prompting techniques — chain-of-thought, few-shot, and more.
Ingest a document corpus into a vector store and build a retrieval-augmented generation API.
Proof you'll submit
Share your GitHub repo link + a short Loom demo of your RAG pipeline answering 3 questions it could not answer from training data alone.
Resources
Official walkthrough that builds the exact pipeline for this milestone.
Design, build, and deploy an AI agent with tool use (at least 2 tools). Deploy to a public URL.
Proof you'll submit
Share the deployed URL + describe one edge case your agent handles well and one it still gets wrong.
Resources
The foundation for reliable tool use. Read before writing a single line of agent code.
About the coach
AI Engineer · helping you ship your first LLM product