Docs
Instructor
Intermediate
Use this when you want Jason Liu's material for structured outputs and related AI skills.
AI educator
Instructor
Practical patterns for getting reliable structured data from LLMs.
Start with: Try the Instructor examples for extraction and validation.
Docs
Intermediate
Use this when you want Jason Liu's material for structured outputs and related AI skills.
Developers building LLM apps should start here when they need structured outputs, extraction, and rag. The strongest fit is a learner who wants material in these formats: docs, cookbooks, workshops.
Try the Instructor examples for extraction and validation. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
Practical patterns for getting reliable structured data from LLMs. 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, the educator's own resources, and any videos when available. If you need structured outputs, 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. |
|
Vercel AI SDK Tutorial
Matt Pocock
|
Free tutorial | Beginner to intermediate | You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents. |
|
Building and Evaluating Advanced RAG Applications
DeepLearning.AI
|
Short course | Intermediate | You already know basic RAG and need better retrieval, evaluation, and production-quality patterns. |
|
LangChain for LLM Application Development
DeepLearning.AI
|
Short course | Beginner to intermediate | You want a fast introduction to building LLM applications with chains, retrieval, and tools. |
|
OpenAI Retrieval guide
OpenAI
|
Guide | Intermediate | You need the official path for file search, retrieval, and grounded answers before designing a RAG stack. |
|
Cohere models overview
Cohere
|
Model docs | Beginner to advanced | You need to choose between current Cohere Command, embedding, and rerank models for grounded enterprise search. |
|
Llama Cookbook
Meta Llama
|
GitHub repo | Beginner to advanced | You want Meta's practical recipes for inference, fine-tuning, RAG, and end-to-end Llama applications. |
|
Cohere LLM University
Cohere
|
Free course | Beginner to intermediate | You want a structured, practical course path for LLM and RAG concepts from Cohere. |
|
Perplexity Search API
Perplexity
|
API docs | Intermediate | You need ranked web results and domain filtering rather than only generated summaries. |
|
LlamaIndex Docs
LlamaIndex
|
Docs and examples | Intermediate | You need to connect LLMs to documents, data, and retrieval. |
|
Pinecone Learn: Retrieval-Augmented Generation
Pinecone
|
Guide | Beginner to intermediate | You need to understand the moving parts of RAG. |