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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
Python training for business analysts and traders
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
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.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
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
Free hands-on digital forensics labs for students and faculty
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
100 days of LLM inference engineering — daily posts, experiments, and visualizations
Practical course about Large Language Models.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)