AI Engineering
The technical career path: build, integrate and ship production AI systems.
The core IT courses in the order the skills build on each other: foundations and prompt engineering, LLM integration with RAG and context engineering, agents with MCP and voice, then evaluation, security and shipping a product.
- Integrate LLM APIs into production applications with streaming, tool use and error handling
- Design RAG pipelines and agent memory with context engineering
- Build AI agents and MCP servers in Python and TypeScript
- Evaluate and secure LLM applications, then ship an AI SaaS with authentication, billing and observability
These are the skills you practice in the path’s courses. Your actual results depend on the time you put in and on your prior experience.
-
Stage 1: AI engineering foundations 2 courses · ~52 hours
-
Stage 2: LLM integration & retrieval 3 courses · ~74 hours
-
Stage 3: Agents & realtime 3 courses · ~76 hours
-
Stage 4: Quality, security & shipping 3 courses · ~75 hours