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ashishps1/learn-ai-engineering

⭐ 6030 added to this list on 2025-06-16 repository created 2025-04-11

The project "learn-ai-engineering" by ashishps1 is a comprehensive curated collection of free resources aimed at helping learners understand and master Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), and AI Agents from scratch. It covers a wide range of topics starting from the mathematical foundations necessary for AI and ML, including linear algebra, probability, statistics, and specialized mathematics for machine learning and deep learning. The repository provides links to high-quality courses, video playlists, and specializations from reputable sources such as Coursera, Khan Academy, 3Blue1Brown, and Deeplearning.ai. The project also includes resources for learning Python programming tailored for AI beginners, fundamental AI and ML concepts, and practical machine learning frameworks like Scikit-learn, XGBoost, LightGBM, and CatBoost. For deep learning, it offers access to specializations and courses from Stanford, Fast.ai, and Coursera, along with popular deep learning frameworks such as TensorFlow, PyTorch, and Keras. Special focus is given to advanced AI topics such as computer vision, natural language processing (NLP), reinforcement learning, and generative AI. The repository extensively covers Large Language Models (LLMs) with resources explaining their architecture, reasoning, multimodal capabilities, fine-tuning, and practical applications. It also lists popular LLM chatbots, open-source LLMs, APIs, tools, frameworks, and LLM-based integrated development environments (IDEs). Additionally, the project includes resources on prompt engineering, retrieval-augmented generation (RAG), AI agents, and the Model Context Protocol (MCP), with direct links to MCP guides, courses, and servers. It also provides materials on MLOps, deployment, and AI engineering best practices, along with recommended books and guides. Overall, this repository serves as an extensive and well-organized learning path for anyone interested in AI engineering, with a special emphasis on LLMs and the Model Context Protocol, making it highly relevant for those looking to build rich context AI applications.

https://github.com/ashishps1/learn-ai-engineering

aiai-agentsai-engineeringcourseradeep-learningdeeplearning.aideploymentgenerative-aihugging-facelarge-language-modelsllmsmachine-learningmcpmlmlopsmodel-context-protocolnlpprompt-engineeringpythonpytorchreinforcement-learningretrieval-augmented-generationscikit-learntensorflow