AI Engineering Lab
A free, self-paced 24-week AI engineering course that takes a beginner from Python through machine learning, LLM internals, RAG, fine-tuning, agents and MCP, and cloud AI platforms, using one continuous case study.
AI Engineering Lab is a free, self-paced training program that takes a beginner from Python to production-grade AI systems over 24 weeks, developed by Zorost Intelligence AI Lab.
It covers machine learning and deep learning, large language model internals, prompt and context engineering, retrieval-augmented generation with vector search, quantization, fine-tuning with LoRA and DPO, evaluation harnesses, coding-agent harnesses, AI agents and the Model Context Protocol, and Azure AI Foundry, Google Vertex AI, AWS Bedrock and a governed Databricks lakehouse.
Each week pairs one concept with a runnable Python, SQL or PySpark notebook, building on one continuous fictional freight-company case study, and from week three every exercise is scored with a metric and an error note. It runs locally or on a free cloud notebook, needs no GPU for the first eight weeks, no prior Python or paid API key, and is MIT licensed with no signup required.