AI providers and platforms

Official docs, model catalogs, and platform learning hubs.

Use this page for companies, platforms, labs, model providers, tooling docs, and official learning hubs. Individual educators and small groups stay in the educator directory.

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72 providers and platforms.

Provider / platform	Best for	Topics	Level	Formats	Why useful	Start with
Full Stack Deep Learning Full Stack Deep Learning	Engineers shipping ML products	MLOps, Deployment, Product ML	Intermediate to advanced	Course, Lectures, Labs	Practical coverage of the whole ML product lifecycle.	Use the course modules that match your current project stage.
Hugging Face Hugging Face Learn	Developers and ML learners	Agents, Transformers, Diffusion, Open models	Beginner to advanced	Free courses, Docs, Notebooks, GitHub repos	One of the best free ecosystems for learning open-source AI by building with models, datasets, spaces, and agents.	Take the Agents Course if you want agent basics, or the NLP/Transformers course if you need model fundamentals.
Anthropic Anthropic Learn	Claude users, builders, teams	Claude Opus, Claude Sonnet, Prompting, Claude workflows, MCP, Computer use, AI app design, Frontier model selection	Beginner to advanced	Model docs, Guides, Courses, API examples	Official material for learning when Claude Opus 4.8, Sonnet 4.6, and Haiku 4.5 fit coding, agent loops, computer use, and long-context knowledge work.	Use the models overview first, then read the Opus page and prompt-engineering or computer-use docs for the exact workflow you want to build.
Google for Developers Machine Learning Crash Course	Beginners learning ML foundations	ML foundations, Classification, Embeddings, Neural networks	Beginner	Course, Videos, Interactive exercises	A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.	Start the Machine Learning Crash Course and finish the exercises rather than only watching videos.
LangChain LangChain Academy	Developers building agents and LLM apps	LangGraph, Agents, LLM orchestration, RAG	Intermediate	Courses, Notebooks, Docs, GitHub repo	Useful when you are ready to build multi-step LLM applications, agents, and graph-based workflows.	Start with Introduction to LangGraph and work through the notebooks.
Weights & Biases W&B Courses	Developers evaluating and deploying LLM apps	LLM apps, Evals, Experiment tracking, MLOps	Intermediate	Free courses, Guides, Examples	Good for builders who need to measure, debug, and improve LLM apps rather than just demo them.	Take Building LLM-powered apps, then the evaluation material.
OpenAI OpenAI model docs and Cookbook	Developers building with OpenAI APIs	GPT models, Reasoning models, Model selection, Agents, RAG, Structured outputs, Evals	Beginner to advanced	Model docs, Cookbook, GitHub repo, API guides	Official model and implementation material for learning GPT-5.5 and GPT-5.4 tradeoffs, reasoning models, agents, retrieval, evaluation, and structured outputs.	Start with the model guide to choose between GPT-5.5, GPT-5.4, mini, or nano, then use the Cookbook or SDK guides for the closest working example.
Microsoft AI Agents for Beginners	Developers learning agents from concept to code	Agents, Multi-agent workflows, Tool use	Beginner to intermediate	GitHub course, Microsoft Learn videos, Lessons	A structured lesson path for understanding when to use agents and how to build simple agentic systems.	Start with lesson 1 on what agents are, then build through the GitHub lessons.
Kaggle Kaggle Learn	Beginners learning Python, ML, and data skills	Python, Machine learning, Data preparation, Computer vision	Beginner	Micro-courses, Notebooks, Exercises	Useful for people who need the data and ML basics before working seriously with AI tools.	Python, Pandas, Intro to Machine Learning, then Intermediate Machine Learning.
3Blue1Brown Neural Networks series	Visual learners	Neural networks, Transformers, Mathematical intuition	Beginner to intermediate	Animated videos	High-quality visual intuition for neural networks and transformers before or alongside coding-heavy courses.	Watch the neural networks series, then the transformer explainer.
AssemblyAI AssemblyAI YouTube	Developers learning applied AI concepts	Speech AI, LLMs, Agents, ML concepts	Beginner to intermediate	YouTube tutorials, Blog posts	Practical developer tutorials and clear overviews of current AI engineering topics.	Search their channel for the exact implementation topic you need.
Pinecone Pinecone Learn	Developers building vector search and RAG	Vector databases, RAG, Embeddings, Search	Beginner to advanced	Guides, Notebooks, Videos	Useful for understanding vector search, embeddings, chunking, retrieval, and RAG system design.	Read embeddings and RAG guides before picking a vector database.
Weaviate Weaviate Academy	Developers learning vector search and RAG	Vector search, RAG, Hybrid search, Embeddings	Beginner to intermediate	Academy courses, Docs, Recipes	Good structured learning around vector databases, retrieval, and search relevance.	Use Academy modules if you want a course-like path for vector search.
Arize AI Phoenix	AI engineers and ML teams	Observability, Evals, Tracing, RAG debugging	Intermediate	Docs, Open source tool, Examples	Useful for debugging and evaluating LLM applications once you move beyond prototypes.	Try Phoenix tracing on a small RAG or agent app.
Langfuse Langfuse Docs	Teams shipping LLM applications	Observability, Prompt management, Evals, Tracing	Intermediate	Docs, Cookbooks, Open source tool	Good operational material for tracing, scoring, and improving production LLM apps.	Instrument a toy app with traces, then add scores and eval datasets.
Mirascope Mirascope Learn	Python developers building LLM apps	LLM app architecture, Prompt engineering, Tool calling	Intermediate	Docs, Blog, Examples	Useful for Python developers who want clean abstractions around prompts, tools, and model calls.	Read examples around tool calling and structured outputs.
Vellum Vellum Guides	Product teams building with LLMs	Prompt management, Evals, Workflow design	Beginner to intermediate	Guides, Templates, Blog	Useful for product and ops teams that need practical LLM product concepts without getting lost in research.	Read guides on parameters, prompt management, and eval workflows.
Humanloop Humanloop Blog and Docs	Teams iterating on prompts and LLM products	Prompt management, Evals, LLM workflows	Intermediate	Blog, Docs, Guides	Useful for teams building repeatable AI product processes around prompts, datasets, and evaluations.	Read their evals and prompt-management writing.
Promptfoo Promptfoo Docs	Developers testing prompts and LLM apps	Prompt testing, Evals, Red teaming	Intermediate	Docs, Open source tool, Examples	Very practical for regression testing prompts, model changes, and LLM outputs.	Create a promptfoo eval file for one workflow you already use.
Made With ML Made With ML	Engineers learning production ML	MLOps, Testing, Deployment, ML systems	Intermediate	Course, Lessons, Code	Useful path for production ML fundamentals that transfer to AI engineering.	Work through testing, monitoring, and deployment lessons.
MLOps Community MLOps Community	ML and AI engineers	MLOps, Production ML, AI systems, Community learning	Intermediate to advanced	Talks, Podcast, Community, Articles	Good for learning how practitioners actually ship and maintain ML/AI systems.	Search talks for the system problem you are facing.
Maven AI courses Maven AI courses	Professionals looking for cohort-based AI courses	AI product, AI leadership, AI workflows, Evals	Beginner to advanced	Cohort courses	Useful discovery surface for live courses taught by practitioners across AI product, work, and engineering.	Filter by role and check instructor outcomes before buying a course.
DataTalks.Club DataTalks.Club ML Zoomcamp	Developers learning data and ML engineering	ML engineering, MLOps, Data engineering	Beginner to intermediate	Free courses, Cohorts, Community	Useful structured free courses for the data/ML engineering skills underneath AI products.	Use ML Zoomcamp or MLOps Zoomcamp based on your gap.
DeepLearning.AI DeepLearning.AI	AI learners across levels	Generative AI, Deep learning, Prompting, Agents	Beginner to advanced	Short courses, Specializations, Newsletters	A broad catalog of structured AI courses, including many short practical courses from tool creators.	Use short courses for targeted skills and specializations for foundations.
MarkTechPost MarkTechPost	People tracking AI papers and tools	Research discovery, Tool discovery, AI news	Intermediate	Articles, Paper summaries	Useful as a discovery feed, but verify against papers and official repos before relying on it.	Use it to find leads, then follow source links.
Harvard CS50 CS50's Introduction to Artificial Intelligence with Python	Python developers and CS learners	Search, Knowledge representation, ML foundations, AI foundations	Beginner to intermediate	Free course, Lectures, Projects	A rigorous entry point into classical AI concepts, search, optimization, machine learning, neural networks, and language processing.	Work through the first two projects before jumping to modern LLM material.
MIT 6.S191 MIT Introduction to Deep Learning	Students and engineers learning deep learning	Deep learning, Neural networks, Generative AI, Model training	Beginner to intermediate	Lectures, Labs, Slides	Compact university-level deep learning coverage with updated lectures and hands-on labs.	Watch the introduction lecture and run the first lab.
Stanford CS229 Stanford CS229 Machine Learning	Technical learners who want ML fundamentals	ML foundations, Supervised learning, Unsupervised learning, Model evaluation	Intermediate	Course notes, Lectures, Assignments	A strong foundation for people who need the math and modeling basics under applied AI.	Use the course notes for supervised learning and evaluation.
Stanford CS224N Natural Language Processing with Deep Learning	Developers and students learning NLP	NLP, Transformers, Embeddings, Language models	Intermediate to advanced	Lectures, Assignments, Slides	A deep route into the NLP concepts behind embeddings, attention, and modern language models.	Study word vectors and attention before transformer-heavy material.
Stanford CS231N Convolutional Neural Networks for Visual Recognition	Computer vision learners	Computer vision, Deep learning, Model training	Intermediate	Course notes, Lectures, Assignments	Still useful for understanding vision models, training loops, backpropagation, and representation learning.	Read the neural networks and optimization notes.
Berkeley CS188 Introduction to Artificial Intelligence	Students learning classical AI	Search, Planning, Reinforcement learning, AI foundations	Beginner to intermediate	Course, Projects, Notes	Good grounding in search, games, probability, and reinforcement learning before LLM-specific work.	Use the Pacman projects for hands-on practice.
NVIDIA Deep Learning Institute NVIDIA DLI	Developers and enterprise teams	Deep learning, GPU computing, Generative AI, Deployment	Beginner to advanced	Workshops, Courses, Certificates	Useful for practical GPU, deep learning, and enterprise AI training with hands-on labs.	Pick a generative AI or accelerated computing workshop that matches your stack.
AWS Skill Builder AWS AI and ML training	Cloud developers and solution architects	Cloud AI, Agents, MLOps, Generative AI	Beginner to advanced	Courses, Labs, Learning plans	Best for people learning AI services, generative AI apps, and ML workflows on AWS.	Use an AI/ML learning plan tied to the AWS services you already use.
Google Cloud Skills Boost Google Cloud AI learning paths	Cloud developers and data teams	Cloud AI, Vertex AI, Generative AI, MLOps	Beginner to advanced	Labs, Courses, Quests	Hands-on labs for people building AI systems on Google Cloud and Vertex AI.	Start with a generative AI or Vertex AI learning path.
Microsoft Learn Microsoft Learn AI	Developers using Microsoft AI tools	Azure AI, Agents, Copilot, Cloud AI	Beginner to advanced	Learning paths, Docs, Labs	Useful for Azure AI services, Copilot extensibility, and Microsoft-focused AI app development.	Choose the Azure AI services path that matches your role.
IBM SkillsBuild IBM SkillsBuild AI	Beginners and business learners	AI foundations, Generative AI basics, Business use cases	Beginner	Courses, Credentials	Accessible AI literacy and business-facing AI learning for non-specialists.	Use a short generative AI credential path.
Elements of AI Elements of AI	Non-technical beginners	AI foundations, Ethics, Society, ML basics	Beginner	Free course	A clear non-technical entry point for understanding AI concepts and social implications.	Take the introductory course before tool-specific training.
freeCodeCamp freeCodeCamp AI and machine learning courses	Developers learning by building	Python, Machine learning, LLM apps, Coding with AI	Beginner to intermediate	Articles, YouTube courses, Projects	Large library of practical tutorials for developers who prefer project-based learning.	Search for a full course that matches the exact tool or model you want to build with.
DataCamp DataCamp AI courses	Analysts, data learners, business teams	AI foundations, Data skills, Prompting, ML foundations	Beginner to intermediate	Interactive courses, Tracks	Useful for analysts and business users who want structured, browser-based AI practice.	Pick a role-based AI track rather than browsing individual lessons.
Codecademy Codecademy AI courses	Beginner developers	AI foundations, Python, Prompting, LLM apps	Beginner	Interactive courses, Projects	Good for beginners who want guided coding exercises while learning AI concepts.	Use the beginner AI and Python material before attempting agents or RAG.
Udacity Udacity School of AI	Career-focused learners	Machine learning, Deep learning, AI product, Computer vision	Beginner to advanced	Nanodegrees, Projects	Project-heavy AI learning for people who want structured programs and portfolio work.	Choose a nanodegree by career outcome.
Coursera AI Coursera AI courses	Learners who want university and company-backed courses	AI foundations, Machine learning, Generative AI, Business AI	Beginner to advanced	Courses, Specializations, Certificates	Broad catalog for comparing university, company, and practitioner-led AI programs.	Filter by level and provider, then check syllabus depth before enrolling.
edX AI edX artificial intelligence courses	Academic and professional learners	AI foundations, Machine learning, Robotics, Ethics	Beginner to advanced	Courses, Professional certificates	Useful for more academic AI courses and professional certificate programs.	Compare prerequisites before starting a university-level course.
Khan Academy AI for Education	Educators and students	AI literacy, Education, Tutoring workflows	Beginner	Guides, Product examples	Useful for seeing AI applied to teaching, tutoring, and student support.	Review Khanmigo examples and educator guidance.
Zapier Zapier AI automation guides	Operators, founders, no-code builders	Automation, AI workflows, No-code tools	Beginner to intermediate	Guides, Templates, Examples	Practical no-code automation examples for people wiring AI into daily operations.	Find a guide that matches one recurring task in your business.
n8n n8n AI workflow tutorials	Automation builders and technical operators	Automation, Agents, Tool use, Workflow design	Intermediate	Docs, Templates, Tutorials	Good for building agentic workflows that connect LLMs with APIs and business systems.	Build one workflow with a human review step before scaling.
Make Make AI automation	No-code operators and teams	Automation, No-code AI, Workflow design	Beginner to intermediate	Templates, Guides, Academy	Useful for business teams connecting AI tools without building custom software.	Start from a template for one clear operational workflow.
Runway Runway Academy	Creative teams and video makers	Generative video, Creative AI, AI media workflows	Beginner to intermediate	Tutorials, Academy, Guides	Practical education for people learning generative video and AI creative workflows.	Use Academy tutorials around the exact video workflow you want.
ComfyUI ComfyUI examples	Technical creative AI users	Image generation, Workflow graphs, Stable Diffusion	Intermediate	Examples, Workflows, Docs	Useful for understanding node-based generative image workflows and reproducible pipelines.	Load example workflows and change one node at a time.
Stability AI Stability AI docs	Developers building image generation apps	Image generation, API workflows, Creative AI	Beginner to intermediate	Docs, API examples	Developer-focused material for using Stable Diffusion and Stability APIs.	Run a basic image generation example, then add controls.
Replicate Replicate docs and examples	Developers prototyping with hosted models	Model APIs, Prototyping, Image generation, LLM apps	Beginner to intermediate	Docs, Examples, Model pages	Fast route to test many hosted AI models without managing infrastructure.	Run one model from the examples, then inspect the model page and API schema.
Modal Modal examples	Developers deploying AI workloads	Deployment, GPU workloads, AI engineering, Batch jobs	Intermediate	Docs, Examples, Code	Useful for learning how to run AI workloads, inference jobs, and GPU tasks in production-like environments.	Deploy a small inference example before moving a real workload.
Qdrant Qdrant Learning Center	Developers building vector search	Vector search, RAG, Embeddings, Search	Beginner to intermediate	Docs, Tutorials, Examples	Good for vector search concepts and practical retrieval implementation.	Build a small semantic search example before adding RAG.
Chroma Chroma docs	Developers building local RAG prototypes	Vector search, RAG, Embeddings, Local apps	Beginner to intermediate	Docs, Examples	Useful for fast local experiments with embeddings and retrieval.	Use the getting-started docs with a small local document set.
Milvus Milvus tutorials	Developers building scalable vector search	Vector databases, RAG, Embeddings, Search	Intermediate	Docs, Tutorials, Examples	Good for learning vector database concepts and scaling retrieval systems.	Work through a tutorial before designing your production index.
Neo4j Neo4j GraphRAG learning	Developers exploring graph-based retrieval	GraphRAG, Knowledge graphs, RAG, Retrieval	Intermediate	Guides, Examples, Docs	Useful when plain vector retrieval does not capture relationships in your data.	Read the GraphRAG overview and model one relationship-heavy dataset.
Relevance AI Relevance AI Academy	Teams building AI agents	Agents, Automation, AI workflows, No-code tools	Beginner to intermediate	Academy, Templates, Docs	Useful for teams learning agent workflows without building every piece from scratch.	Use an academy lesson that maps to one internal workflow.
Gumloop Gumloop tutorials	Operators building AI workflows	Automation, No-code AI, AI workflows, Agents	Beginner to intermediate	Templates, Examples	Template-led way to learn AI automations for research, scraping, enrichment, and repetitive operations.	Start from one template, inspect each step, then adapt it to a real task.
CrewAI CrewAI docs	Developers learning multi-agent apps	Agents, Multi-agent workflows, Tool use, Automation	Intermediate	Docs, Examples, Tutorials	Useful for learning role-based multi-agent patterns and orchestration concepts.	Build a tiny crew with one tool and one review step.
AutoGen Microsoft AutoGen docs	Developers building multi-agent systems	Agents, Multi-agent workflows, Tool use, AI engineering	Intermediate	Docs, Examples, GitHub repo	Good for learning multi-agent design patterns and conversation-based orchestration.	Run a simple multi-agent example before adding external tools.
OpenRouter OpenRouter docs	Developers comparing models	Model routing, Model comparison, Claude Opus, GPT models, Gemini, Llama, Mistral, DeepSeek, Qwen, API examples, Evaluation	Beginner to intermediate	Docs, Examples, Model pages	Useful for learning model comparison, routing, fallback behavior, and API-compatible experimentation across proprietary and open model families.	Use one prompt across Claude Opus, a GPT model, Gemini, Llama, Mistral, DeepSeek, and Qwen; compare quality, latency, context, and price.
Google AI for Developers Gemini API model docs	Developers building with Gemini	Gemini, Multimodal AI, Long context, Model selection, AI Studio, Realtime, API examples	Beginner to advanced	Model docs, API guides, AI Studio	Official Gemini material for learning Gemini 2.5 and 3.1 model capabilities, multimodal and realtime tradeoffs, and Google AI Studio workflows.	Compare the Gemini model table, test the same prompt in AI Studio, then decide whether Gemini 2.5 Pro, Flash, or Flash-Lite matches your latency and modality needs.
Meta Llama Llama docs	Developers learning open-weight models	Llama, Open models, Local models, Fine-tuning, Model deployment	Beginner to advanced	Docs, Model pages, Examples	Official path into the Llama model family, open-weight deployment, model access, hosting, and integration decisions.	Read the overview, choose an access route, then run a small hosted or local Llama example.
Mistral AI Mistral models docs	Developers comparing European open and commercial models	Mistral models, Open models, Model selection, Agents, Coding, Reasoning, Multimodal AI	Beginner to advanced	Model docs, Cookbooks, API guides	Official material for comparing current Mistral families such as Devstral, Magistral, Voxtral, and OCR models across coding, reasoning, and multimodal use cases.	Use the models overview to pick a general, coding, reasoning, or multimodal model, then open the cookbook closest to your app.
Cohere Cohere model docs	Developers building enterprise search and RAG	Command models, RAG, Embeddings, Reranking, Enterprise AI, Model selection	Beginner to advanced	Model docs, Guides, API examples	Official material for learning Cohere chat, embedding, and rerank models, especially for grounded enterprise retrieval workflows.	Compare Command, embedding, and rerank model roles before designing a RAG pipeline.
DeepSeek DeepSeek API docs	Developers comparing reasoning and coding models	DeepSeek, Reasoning models, Coding models, OpenAI-compatible APIs, Model selection	Beginner to advanced	API docs, Model and pricing docs, Examples	Official DeepSeek API material for learning model access, OpenAI-compatible usage, reasoning mode, pricing, and current migration details such as the `deepseek-chat` and `deepseek-reasoner` deprecations.	Run the first API call with `deepseek-v4-pro` or `deepseek-v4-flash`, then check Models and Pricing for current names and deprecations.
Qwen Qwen API platform	Developers comparing multilingual, coding, and multimodal models	Qwen, Open models, Multilingual AI, Coding agents, Multimodal AI, Model selection	Beginner to advanced	API docs, Model pages, Research posts	Official Qwen material for learning the model family, API access, multilingual capabilities, coding use, and multimodal model changes.	Use the API platform for model access, then read current release posts or the Model Studio model list before picking a stable Qwen family.
xAI xAI Grok model docs	Developers comparing Grok models and real-time AI workflows	Grok, Reasoning models, Coding models, Image models, Video models, Model selection	Beginner to advanced	Model docs, API guides	Official xAI material for learning Grok model choices across chat, coding, image, video, and voice APIs, including aliasing and release-version behavior.	Use the model selection table, then compare stable aliases with dated releases before using Grok in a workflow that needs repeatability.
Perplexity Perplexity API docs	Developers building AI search and grounded research workflows	AI search, Sonar, Agent API, Grounded answers, Model selection, Research workflows	Beginner to advanced	API docs, Model docs, Guides	Official material for learning web-grounded AI search, Sonar, Agent API workflows, citations, retrieval, and model choice.	Read the overview, then compare Search, Sonar, Agent, and Embeddings APIs by use case.
Together AI Together AI model catalog	Developers running open and hosted models	Open models, Serverless inference, Llama, Qwen, DeepSeek, Mistral, Model hosting	Beginner to advanced	Model catalog, Docs, API examples	Useful for learning which open and hosted models are available through a unified inference platform.	Filter the model catalog by provider and use case, then compare the docs for serverless and dedicated endpoints.
Ollama Ollama docs	Developers running local models	Local models, LLM tools, AI engineering, Privacy	Beginner to intermediate	Docs, Examples, GitHub repo	Practical route into running and testing local models on your own machine.	Run one small model locally and connect it to a simple app.
llama.cpp llama.cpp examples	Technical users running models locally	Local models, Inference, Quantization, AI engineering	Intermediate to advanced	GitHub repo, Examples, Docs	Core educational repo for understanding local inference, quantization, and efficient model running.	Run a supported model locally and learn the main inference options.