Guides, tutorials, and documentation for Cohere.
17 resources totaling 68 minutes of reading. Covers Guides, References and Tutorials from beginner to intermediate difficulty.
A beginner-friendly large language model application development course from Datawhale China, reviewed as an OpenTools learning resource.
A practical guide to Awesome LLM Apps, the GitHub repository of runnable AI agent, RAG, MCP, voice agent, and fine-tuning templates.
A Chinese-language open-source tutorial series for hands-on LLM programming and practice.
A practical guide to using Graphify to turn code, schemas, scripts, documents, and media into a queryable graph for AI coding workflows.
A practical GitHub resource for developers learning LLM, RAG, and AI agent engineering through hands-on tutorials and examples.
A practical guide to the Machine-Learning-Interviews repository for ML, AI engineering, deep learning, and system-design interview prep.
Complete reference for Claude Code CLI commands, flags, environment variables, and scripting patterns for automation and CI/CD.
Anthropic's official collection of Jupyter notebooks and code recipes demonstrating practical Claude usage patterns including agents, tool use, RAG, and multimodal capabilities.
A comprehensive collection of Jupyter notebooks and code recipes showcasing effective ways to use Claude for classification, RAG, summarization, tool use, vision, and more.
A public companion repository with supporting materials for Chip Huyen’s AI Engineering book and practical AI engineering study paths.
Anthropic’s interactive prompt engineering tutorial teaches Claude prompting through 9 chapters, exercises, examples, and a Google Sheets learning path.
Microsoft’s free Generative AI for Beginners course teaches 21 lessons for building AI apps with Python, TypeScript, Azure OpenAI, GitHub Models, and OpenAI.
A guide to Ed Donner’s agents repository, which supports a six-week Agentic AI Engineering course using OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP.
A practical guide to Microsoft ML-For-Beginners, a free 12-week curriculum for classic machine learning with Python and scikit-learn.
Open-source course for building a second brain AI assistant with LLMs, RAG, agents, fine-tuning, LLMOps, and production AI systems practices.
Google Gemma Cookbook is a collection of examples, guides, and notebooks for working with Google’s Gemma open model family.
RAG_Techniques is a large tutorial repository for advanced Retrieval-Augmented Generation patterns, notebooks, scripts, and evaluation examples.