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AI for Developers

M1AI, ML & LLMs — the landscapeFree

AI vs ML vs LLM — what's the difference?
How an LLM works (at a high level)
What LLMs are good at — and bad at
The developer's mental model

M2Where AI fits in a developer's dayPro

Coding assistants
Explaining & refactoring code
Writing tests & docs
Debugging help & learning new tech

M3Working effectively with AIPro

Giving context
Iterating on output
Spotting hallucinations
When NOT to use AI

M4Responsible & practical AIPro

Privacy & secrets
Bias & fairness
Licensing & attribution
Cost awareness & staying current

M5Building with AI APIsPro

Calling an LLM API
Structured output (JSON)
RAG: giving AI your data

M6AI engineering practicesPro

Evaluating AI output
Guardrails & validation
Agents & tools (gently)

Courses/AI for Developers/How an LLM works (at a high level)

AI, ML & LLMs — the landscape · Lesson 2 of 22

How an LLM works (at a high level)

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