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AI Engineer

Prompts, APIs, RAG, agents, MCP: build real AI systems.

Intermediate7 modules · 35 lessons

This protocol is still being written. Follow the Discord to hear when it drops.

1

Prompt Engineering

The science behind prompts: few-shot, chain-of-thought, debugging.

0/5 lessons completed
2

Working with APIs

Request-response, streaming, tool use, structured outputs, costs.

0/5 lessons completed
3

RAG & Knowledge

Giving models knowledge they were never trained on.

0/5 lessons completed
4

AI Agents

Autonomous agents: loops, tool calling, memory, multi-agent.

0/5 lessons completed
5

MCP & Orchestration

Connecting AI to everything: MCP, workflows, AI-assisted coding.

0/5 lessons completed
6

Fine-tuning & Customization

When and how to customize an AI model.

0/5 lessons completed
7

Evaluating AI

Can you trust it? Hallucinations, verification, evals.

0/5 lessons completed
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Understand AI from the inside, read it, see it, prove it.

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