Curated Resources

Prefer primary documentation and high-signal open-source curricula over random blogs. Links are entry points — always check for updates.

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Open-source curricula (start here)

Resource	Best for	How to use with this course
DAIR.AI Prompt Engineering Guide · promptingguide.ai	Prompts, CoT, ReAct, agents overview	Modules 01–03, skim before building agents
mlabonne/llm-course	LLM engineer track (RAG, deploy, quant)	Modules 06–07, 09, 13, 17 — take “Engineer” not full “Scientist” unless training is your job
rasbt/LLMs-from-scratch	Attention, GPT training loop	Hybrid track + mental model for 06 / 17
huggingface/agents-course	smolagents, LangGraph, agentic RAG	Modules 11–12, 26, agentic pieces of 09
humanlayer/12-factor-agents	Production agent design principles	Modules 05, 11–13, 20–25
Anthropic / MCP 2026-07-28	Tools, resources, prompts protocol	Module 08 (authoritative, current spec) + host policy in 21

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Models & providers

• OpenAI docs
• Anthropic docs
• Google AI Gemini
• Hugging Face Hub
• Ollama

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RAG & embeddings

• FAISS
• Chroma
• Qdrant
• Pinecone docs
• Sentence-transformers / provider embedding guides
• LlamaIndex & LangChain retrieval docs (orchestration patterns)

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Agents & orchestration

• LangGraph
• CrewAI
• AutoGen / AG2
• Provider agent / tool-calling guides (OpenAI, Anthropic)
• Course Module 18 (leaf patterns), 19 (workflow shape), 20–27 (reliability, sandbox, harness, evals, drift, durable graphs, orchestrator comparison) — read 11–12 first
• ReAct (Yao et al., 2022) · ReWOO (Xu et al., 2023) · Self-consistency (Wang et al., 2022)

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Harness engineering

• Anthropic — Effective harnesses for long-running agents — progress files across context windows
• LangChain — Improving deep agents with harness engineering — same-model / harness-only quality delta
• Course Module 27 — prompt vs context vs harness; src.harness teaching loop

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MCP

• Model Context Protocol — not a load balancer; tools/resources/prompts over a standard host↔server protocol. Course teaches 2026-07-28 (stateless _meta + server/discover). The 2025 initialize + Mcp-Session-Id model is historical and still deployed.

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Fine-tuning

• PEFT
• TRL
• QLoRA paper: https://arxiv.org/abs/2305.14314

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Evals & observability

• promptfoo
• DeepEval
• RAGAS
• Langfuse, Arize Phoenix, OpenTelemetry

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Security

• OWASP LLM Top 10 (search current version)
• Prompt injection write-ups from major vendors (treat as living docs)
• Microsoft Presidio (PII detection) for production redaction

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MLOps & serving

• FastAPI
• Docker
• GitHub Actions
• vLLM / Text Generation Inference docs

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Deep learning (hybrid track)

• PyTorch tutorials
• PyTorch nn.Transformer

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Classic data / ML

• Pandas 10 minutes
• scikit-learn user guide
• yfinance

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Course provenance

Pre-restructure originals: archive/source/ in this repository.
Progress (local XP): Progress & gamification.