AI Engineer Program
Build production-ready AI systems, not prompt demos.
Python and LLM fundamentals through to a RAG app, an AI agent and an evaluation harness you can actually ship.
Courses in this program
- 01Python
- 02PyTorch
- 03OpenAI
- 04PostgreSQL
- 05Docker
- 06AWS
Relevant certification prep
Part of the AI Engineering Career Path
Move from Python and LLM fundamentals to real systems you can build, evaluate and ship.
Projects in this path
RAG Application
A retrieval-augmented app that answers questions over your own documents.
Python · LLM · API
AI Agent
A tool-using AI workflow that plans and calls tools to get a job done.
Python · LLM APIs · Tool calling
Evaluation System
A harness that scores model outputs against real test cases.
Python · Evals · CI
Curriculum stages
01 Foundations
Python for AI: the syntax, tooling and libraries everything else depends on.
Python · 6 lessons
02 Modeling
Train and fine-tune models with PyTorch.
PyTorch · 5 lessons
03 LLM Systems
Build with LLM APIs: prompting, retrieval, tool use.
OpenAI · 5 lessons
04 Data
Store embeddings and application data in PostgreSQL.
PostgreSQL · 4 lessons
05 Shipping
Containerize and deploy to the cloud.
Docker · AWS · 4 lessons