18 Lessons to Get Started Building AI Agents
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18 Lessons to Get Started Building AI Agents
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Learn ML engineering for free in 4 months! Register here 👇🏼
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Repo for the Complete Agentic AI Engineering Course
A course in reinforcement learning in the wild
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Repo for the Deep Reinforcement Learning Nanodegree program
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Lectures on scientific computing with python, as IPython notebooks.
Open Machine Learning course
NMA Computational Neuroscience course
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
Free hands-on digital forensics labs for students and faculty
Open Content for self-directed learning in data science
📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南