Learn LLM Path / pillar 2 of 10
Deeper track: heavier resources for job-ready depth. Concepts you already checked stay checked.
go from "I can call an API" to "I can ship an LLM feature." Ed Donner's course (Ollama-first, laptop-friendly) is strongest here
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APIs, prompts, streaming, multi-provider
Ed Donner - LLM Engineering, Wks 1-2 (repo) ↗repoDEEPUdemy
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Tool / function calling
Ed Donner Wk2 + ReAct explainer ↗courseDEEPUdemy+6m
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Fast UIs (Gradio)
Ed Donner Wk2 ↗courseDEEPUdemy
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Open-source models & HuggingFace
Ed Donner Wk3 ↗courseDEEPUdemy
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Model selection / leaderboards
Ed Donner Wk4 ↗courseUdemy
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Structured output (JSON/Pydantic)
Structured outputs - OpenAI docs ↗docsDEEPread
Deeper · Extras
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Prompt engineering patterns (few-shot, CoT, system prompts)
Prompt Engineering Guide - promptingguide.aiarticleread 1h⚠ link unverified
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Model selection / leaderboards / cost-latency trade-offs
Ed Donner Wk4 ↗courseUdemy