LangGraph introduction
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LangChain · agents, langgraph, llm orchestration, rag
AI educator
Hamel's AI evals guides
Very practical material on evaluating LLM apps before they disappoint users.
Start with: Read the evals guide and build a small test set for your own app.
Educator videos are listed first. Similar videos are labelled and included when they cover the same skills or adjacent topics.
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LangChain · agents, langgraph, llm orchestration, rag
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LlamaIndex · rag, documents, agents, context augmentation
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Weaviate · vector search, rag, embeddings, hybrid search
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Pinecone · vector databases, rag, embeddings, search
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Weights & Biases · evals, llm apps, observability, mlops
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Arize AI · evals, observability, tracing, rag debugging
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Promptfoo · evals, prompt testing, red teaming, security
Builders shipping LLM systems should start here when they need evals, rag, and llm product quality. The strongest fit is a learner who wants material in these formats: guides, workshops.
Read the evals guide and build a small test set for your own app. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
Very practical material on evaluating LLM apps before they disappoint users. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.
Compare the skill coverage, the starting recommendation, and the related videos. If you need evals, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
| Resource | Kind | Level | Use when |
|---|---|---|---|
|
OpenAI Cookbook
OpenAI
|
GitHub repo | Beginner to advanced | You need implementation examples rather than theory. |
|
Prompt Engineering Guide
DAIR.AI
|
Guide | Beginner to advanced | You want examples of prompting techniques and patterns. |
|
LLM Evals
Hamel Husain
|
Guide | Intermediate | Your AI app needs quality checks before users see it. |
|
LlamaIndex Docs
LlamaIndex
|
Docs and examples | Intermediate | You need to connect LLMs to documents, data, and retrieval. |
|
W&B LLM Evaluation Course
Weights & Biases
|
Free course | Intermediate | You need to debug and measure LLM app quality. |
|
Pinecone Learn: Retrieval-Augmented Generation
Pinecone
|
Guide | Beginner to intermediate | You need to understand the moving parts of RAG. |
|
Weaviate Academy
Weaviate
|
Free academy | Beginner to intermediate | You want structured vector database and retrieval lessons. |
|
Phoenix by Arize
Arize AI
|
Open source tool and docs | Intermediate | You need to trace, inspect, and evaluate LLM app behavior. |
|
Promptfoo Intro
Promptfoo
|
Open source docs | Intermediate | You need regression tests for prompts, models, and LLM outputs. |
|
AI Evals for Engineers & PMs
Hamel Husain and Shreya Shankar
|
Cohort course | Intermediate | You are shipping AI features and need a serious evaluation workflow. |