AI Engineering from Scratch Maps AI’s Full Stack

This is an unusually ambitious attempt to turn AI engineering’s fragmented learning landscape into one coherent, build-first path.

• –The “implement it, then use the framework” structure can build intuition that API-focused courses often skip.
• –Its scope covers the full stack, from linear algebra and backpropagation to MCP servers, agents, production infrastructure, and capstones.
• –Reusable outputs such as skills, agents, prompts, and MCP servers make lessons more practical than notebook-only exercises.
• –At roughly 320 hours, the curriculum’s biggest challenge is completion; developers should use its placement tools to choose a focused starting phase.
• –MIT licensing makes the material useful for self-study, teaching, internal training, and derivative courses.