Search across educators, skills, and resources.

Andrew Ng

DeepLearning.AI Short Courses · Beginner to advanced

Structured, practical courses from prompt engineering through agentic workflows.

Skills

Prompting, Agents, RAG, ML foundations

Jason Liu

Instructor · Intermediate

Practical patterns for getting reliable structured data from LLMs.

Skills

Structured outputs, Extraction, RAG

Hamel Husain

Hamel's AI evals guides · Intermediate to advanced

Very practical material on evaluating LLM apps before they disappoint users.

Skills

Evals, RAG, LLM product quality

Elvis Saravia

DAIR.AI Prompt Engineering Guide · Beginner to advanced

A broad prompt engineering guide with many concrete examples and patterns.

Skills

Prompting, RAG, Reasoning, Agents

Lilian Weng

Lilian Weng's AI posts · Advanced

Deep, well-structured technical summaries of major AI topics.

Skills

Agents, RAG, ML research

Paul Caruana

AI Automation Mastermind · Beginner to intermediate

A small-business oriented community for learning AI and automation as operational leverage.

Skills

AI automation, Operations, Efficiency, Small business workflows

AI Operators Club

AI Operators Club · Beginner to intermediate

Community for people who want to leverage AI and build practical things that work in operating businesses.

Skills

AI operations, Claude, GoHighLevel, Automation, Business systems

Vianney Wilson

AI Systemizers · Beginner to intermediate

Business-owner community for using AI, automation, and systems to increase revenue without adding operational drag.

Skills

Business systems, AI automation, Sales systems, Founder freedom

Jeremy Caplan

Wonder Tools · Beginner to intermediate

Practical tool education for non-technical knowledge workers, with useful AI coverage and workflow context.

Skills

AI tools, Productivity, Creative workflows, Teaching

Wes Roth

Wes Roth AI news · Beginner to intermediate

Accessible AI news and tool coverage for people tracking the AI landscape without reading technical papers.

Skills

AI news, Tool discovery, AI strategy, Model awareness

Michael Stelzner

Social Media Examiner · Beginner to intermediate

Useful AI marketing coverage for non-technical social media and small business marketers.

Skills

AI social media, Marketing strategy, Content workflows, Adoption

AI Automation for Business Leaders and Operations Managers

Lena Shakurova on Maven · Beginner to intermediate

Practical course for deciding what should be automated, auditing workflows, and starting an AI automation initiative.

Skills

AI automation, Operations, Process audits, Delegation

Jerry Liu

LlamaIndex · Intermediate

Strong practical material for connecting LLMs to private data, documents, retrieval, and workflows.

Skills

RAG, Agents, Document workflows, Context augmentation

Ben Lorica

The Data Exchange · Intermediate

Good practitioner interviews across data, ML, and AI engineering.

Skills

Data systems, ML engineering, AI trends

Lance Martin

LangChain and LangGraph tutorials · Intermediate

Hands-on notebooks for LangGraph, agent patterns, retrieval, and stateful LLM apps.

Skills

LangGraph, Agents, RAG, LLM orchestration

Greg Kamradt

Data Independent AI tutorials · Beginner to intermediate

Practical walkthroughs for retrieval, LLM application patterns, and common developer questions.

Skills

RAG, LLM apps, Prompting, Evaluation

James Briggs

James Briggs AI tutorials · Beginner to intermediate

Useful practical explanations of embeddings, retrieval, LangChain, Pinecone, and agent workflows.

Skills

Vector search, RAG, Agents, Embeddings

Connor Shorten

Weaviate education videos · Beginner to intermediate

Good interviews and tutorials around vector databases, retrieval systems, and AI app patterns.

Skills

Vector search, RAG, Hybrid search, Agents

Practical coverage of the whole ML product lifecycle.

Topics

MLOps, Deployment, Product ML

Useful when you are ready to build multi-step LLM applications, agents, and graph-based workflows.

Topics

LangGraph, Agents, LLM orchestration, RAG

Official model and implementation material for learning current GPT-5.5, GPT-5.5 Pro, and GPT-5.4 tradeoffs, Codex workflows, agent evals, MCP and connector patterns, retrieval, model optimization, and structured outputs.

Topics

GPT models, Reasoning models, Model selection, Agents, RAG, Structured outputs, MCP, Evals

Useful for understanding vector search, embeddings, chunking, retrieval, and RAG system design.

Topics

Vector databases, RAG, Embeddings, Search

Good structured learning around vector databases, retrieval, and search relevance.

Topics

Vector search, RAG, Hybrid search, Embeddings

Useful for debugging and evaluating LLM applications once you move beyond prototypes.

Topics

Observability, Evals, Tracing, RAG debugging

Compact university-level deep learning coverage with updated lectures and hands-on labs.

Topics

Deep learning, Neural networks, Generative AI, Model training

Good for beginners who want guided coding exercises while learning AI concepts.

Topics

AI foundations, Python, Prompting, LLM apps

Good for vector search concepts and practical retrieval implementation.

Topics

Vector search, RAG, Embeddings, Search

Useful for fast local experiments with embeddings and retrieval.

Topics

Vector search, RAG, Embeddings, Local apps

Good for learning vector database concepts and scaling retrieval systems.

Topics

Vector databases, RAG, Embeddings, Search

Useful when plain vector retrieval does not capture relationships in your data.

Topics

GraphRAG, Knowledge graphs, RAG, Retrieval

Official material for learning Cohere chat, embedding, rerank, and LLM University material, especially for grounded enterprise retrieval workflows.

Topics

Command models, RAG, Embeddings, Reranking, Enterprise AI, Model selection, Course material