Awesome AI Agents › Educational & Learning Agents
The project 'Learn AI Engineering' is a comprehensive and well-curated collection of free resources aimed at helping learners understand and master the fields of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), and AI Agents from scratch. It provides a structured learning path starting from the mathematical foundations necessary for AI, including linear algebra, probability, statistics, and specialized mathematics for machine learning and deep learning. The repository includes links to high-quality courses, video playlists, and specializations from reputable sources such as Coursera, Khan Academy, Deeplearning.ai, Stanford, and Microsoft. The project covers essential programming skills with a focus on Python for AI beginners and extends into fundamental AI and ML concepts through crash courses and beginner-friendly materials. It also introduces popular machine learning frameworks like Scikit-learn, XGBoost, LightGBM, and CatBoost, which are widely used in the industry for building ML models. For deep learning enthusiasts, the repository offers resources on deep learning specializations, including computer vision, natural language processing (NLP), and reinforcement learning, along with tutorials on popular deep learning frameworks such as TensorFlow, PyTorch, and Keras. It further delves into generative AI, providing beginner-friendly guides and courses to understand this cutting-edge area. A significant portion of the project is dedicated to Large Language Models (LLMs), offering detailed explanations, visual guides, courses, and practical resources for understanding, fine-tuning, and building LLMs. It also includes information on LLM chatbots, open-source LLMs, APIs, tools, frameworks, and LLM-based integrated development environments (IDEs). The repository also emphasizes prompt engineering, retrieval-augmented generation (RAG), AI agents, and the Model Context Protocol (MCP), providing learners with advanced topics and practical guides to build sophisticated AI applications. Additionally, it covers MLOps and deployment strategies, essential for putting AI models into production. Overall, 'Learn AI Engineering' serves as an invaluable educational resource for anyone interested in AI, from beginners to advanced practitioners, by aggregating a vast array of free, high-quality learning materials and tools in one accessible place.
https://github.com/ashishps1/learn-ai-engineering
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