Awesome AI Agents › Courses and Tutorials
The AI Cookbook by Dave Ebbelaar is a comprehensive collection of examples and tutorials designed to help developers build AI systems effectively. It provides practical, copy/paste code snippets that can be easily integrated into various AI projects, making it an invaluable resource for both beginners and experienced developers. The repository aims to simplify the process of creating AI applications by offering ready-to-use code and clear instructional content. Dave Ebbelaar, an AI Engineer and founder of Datalumina®, curates this cookbook to share his expertise and practical knowledge. He also runs a YouTube channel where he posts tutorials focused on building AI systems that work in real-world scenarios. Beyond the technical tutorials, Dave supports the AI community by offering resources for learning Python for AI and data science, guidance for starting and scaling freelancing careers, and professional services for solving complex data and AI challenges. The repository is part of a broader ecosystem that includes a free community called Data Alchemy, which provides additional learning resources and support for Python and AI enthusiasts. For freelancers, there are resources to help find projects and grow their business. Businesses and developers looking for expert assistance can collaborate with Dave and his team. Additionally, the GenAI Launchpad is a production framework offered for building AI applications, indicating a focus on practical deployment and scaling of AI solutions. Overall, the AI Cookbook serves as a practical guide and toolkit for developers aiming to build functional AI systems, supported by a community and professional network that fosters learning, freelancing, and business growth in the AI domain.
https://github.com/daveebbelaar/ai-cookbook
A comprehensive guide and resource hub for prompt engineering, context engineering, retrieval-augmented generation, and AI agents, offering tutorials, papers, tools, and courses to optimize the use of large language models.
Learn Claude Code is an educational project that teaches how to build modern AI coding agents like Claude Code through a progressive tutorial covering core concepts, planning, subagents, and skills mechanisms.
AI Engineering Hub is a comprehensive repository offering in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for learners and practitioners.
The Hugging Face Agents Course is a comprehensive educational resource that teaches the fundamentals and advanced concepts of AI agents and large language models through structured units, practical frameworks, and community collaboration.
GenAI_Agents is a comprehensive repository offering tutorials, implementations, and community resources for building and advancing generative AI agents from basic to advanced levels.
This course provides a comprehensive project-based tutorial on Harness Engineering for building reliable AI coding agents, covering environment setup, state management, verification, and control.
An AI-powered tool that analyzes GitHub repositories and generates beginner-friendly tutorials with visualizations to simplify understanding complex codebases.
A comprehensive guide to prepare for machine learning and AI technical interviews at major tech companies, covering coding, ML fundamentals, system design, and behavioral aspects.