Search across educators, skills, and resources.

Rachel Thomas

fast.ai · Beginner to intermediate

Good practical teaching on making ML more understandable and useful.

Skills

Practical ML, Ethics, Education

Jason Liu

Instructor · Intermediate

Practical patterns for getting reliable structured data from LLMs.

Skills

Structured outputs, Extraction, RAG

Eugene Yan

Eugene Yan · Intermediate to advanced

Useful for practical ML and LLM systems thinking without vendor hype.

Skills

Applied ML, Recommenders, LLM systems

Christopher Penn

Trust Insights · Beginner to intermediate

Practical explanations of AI, analytics, and marketing workflows for people who need business outcomes and measurement.

Skills

AI marketing analytics, Prompting, Data strategy, Measurement

Rand Fishkin

SparkToro · Beginner to intermediate

Clear strategic context for how AI changes discovery, search, and audience behavior.

Skills

AI search, Audience research, Marketing strategy, Content quality

Chase Dimond

Email marketing and AI workflows · Beginner to intermediate

Practical email and ecommerce marketing workflows where AI can support ideation, segmentation, and draft generation.

Skills

AI email marketing, Lifecycle campaigns, Copywriting, Ecommerce

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

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

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

Tina Huang

Tina Huang AI and data career videos · Beginner

Accessible learning and career guidance for people entering data and AI work.

Skills

AI literacy, Data skills, Career learning, Prompting

Krish Naik

Krish Naik AI tutorials · Beginner to intermediate

Large catalog of practical machine learning, deep learning, and generative AI tutorials.

Skills

Machine learning, Deep learning, LLM apps, MLOps

Sean Grove

OpenAI and AI engineering talks · Intermediate

Useful for thinking about AI-native software, structured workflows, and developer experience.

Skills

AI engineering, Developer tools, Agents, Structured data

Hugging Face

Hugging Face Learn · Beginner to advanced

One of the best free ecosystems for learning open-source AI by building with models, datasets, spaces, agents, context engineering, and MCP workflows.

Topics

Agents, Context engineering, MCP, Transformers, Post-training, Open models

Kaggle

Kaggle Learn · Beginner

Useful for people who need the data and ML basics before working seriously with AI tools.

Topics

Python, Machine learning, Data preparation, Computer vision

Pinecone

Pinecone Learn · Beginner to advanced

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

Topics

Vector databases, RAG, Embeddings, Search

Weaviate

Weaviate Academy · Beginner to intermediate

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

Topics

Vector search, RAG, Hybrid search, Embeddings

Langfuse

Langfuse Docs · Intermediate

Good operational material for tracing, scoring, and improving production LLM apps.

Topics

Observability, Prompt management, Evals, Tracing

Humanloop

Humanloop Blog and Docs · Intermediate

Useful for teams building repeatable AI product processes around prompts, datasets, and evaluations.

Topics

Prompt management, Evals, LLM workflows

DataTalks.Club

DataTalks.Club ML Zoomcamp · Beginner to intermediate

Useful structured free courses for the data/ML engineering skills underneath AI products.

Topics

ML engineering, MLOps, Data engineering

Google Cloud Skills Boost

Google Cloud AI learning paths · Beginner to advanced

Hands-on labs for people building AI systems on Google Cloud and Vertex AI.

Topics

Cloud AI, Vertex AI, Generative AI, MLOps

DataCamp

DataCamp AI courses · Beginner to intermediate

Useful for analysts and business users who want structured, browser-based AI practice.

Topics

AI foundations, Data skills, Prompting, ML foundations

Milvus

Milvus tutorials · Intermediate

Good for learning vector database concepts and scaling retrieval systems.

Topics

Vector databases, RAG, Embeddings, Search

Neo4j

Neo4j GraphRAG learning · Intermediate

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

Topics

GraphRAG, Knowledge graphs, RAG, Retrieval

OpenRouter

OpenRouter docs · Beginner to intermediate

Useful for learning model comparison, latest-family aliases, routing, fallback behavior, benchmark-aware selection, and API-compatible experimentation across proprietary and open model families.

Topics

Model routing, Model comparison, Auto Router, GPT models, Claude models, Gemini, Llama, Mistral, DeepSeek, Qwen, API examples, Evaluation

AI worker platform

Mission Control AI

Mission Control AI · Preconfigured AI workers

Use this when you want role-specific AI workers with SOPs, integrations, and governance policies already built in.

Start

Map one operational process, identify data and approval boundaries, and evaluate whether a prebuilt worker fits before building custom agents.