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AI/ML path
CompleteBuild with foundation models, end to end.
The applied AI engineering path. Phase 6 covers transformers, RAG, agentic AI, MCP development, fine-tuning, and AI in production — the surface area an AI engineer is hired against in 2026. Phase 3 supplies the CS fundamentals that make systems work; Phase 8 supplies professional practice.
Ship a production agentic AI feature with observability, eval harness, cost controls, and a documented MCP integration.
5 phases · ~1140 hours
Digital-literacy foundations.
Programming fundamentals.
CS fundamentals — required for systems work.
AI/ML engineering: RAG, agents, MCP, fine-tuning, production.
Testing, security (incl. prompt injection), code quality.
Not required, but deepen the path.
Backend engineering — strongly recommended; most AI features ship via APIs.