Repo for the Complete Agentic AI Engineering Course

This is a repository for the course "Agentic AI Engineering" by Towards AI.

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📚 Comprehensive collection of notes and resources from Generative AI courses covering LLMs, prompt engineering, RAG, AI agents, and more

Exploring the world of Generative AI through Google’s 5-Day Intensive Course. Covering foundational LLMs, prompt engineering, embeddings, AI agents, domain-specific models, and MLOps. Sharing insights, code labs, and resources to unlock the potential of AI.

东南大学计软智（主要是东南大学人工智能学院）-部分课程项目与实验 Part of the course experiment in SEU AI. Include: Computer Graphics - Knowledge Engineering - Network and Information Security - Signals& Systems - Automated Planning - Probabilistic Graphical Model - Embedded System Design - Game Theory - Multi-agent System - Computer Vision - NLP - Mathematical Modeling

A curated list of the best AI resources, courses, tools, and repositories. Covering Generative AI (GenAI), LLMs, RAG, AI Agents, Prompt Engineering, and more. Your go-to cheat sheet for all things AI.

Hands On AI Agent Mastery: 30-Day Intensive Production Engineering Course

Public data for the Agentic AI Engineering course

🧠 Concept-focused notes for The Complete Agentic AI Engineering Course by Ed Donner — covering key ideas, frameworks (CrewAI, LangGraph, Autogen, MCP), and agentic design patterns.

This course teaches prompt engineering specifically designed for Automation Testers, Manual QA Engineers, and Software Developers. Learn how to leverage ChatGPT and other AI agents to accelerate testing, development, and code quality.

A living journey into Climate AI Engineering — from prompt engineering to agentic systems, RAG, knowledge graphs, and model customization. Based on courses from Google, Anthropic, Stanford, MIT, Columbia, CalArts, and DeepLearning.AI.

A mini course about LLM engineering and Agentic AI

Learn to build AI agents from scratch - a hands-on course designed for Claude Code

Hands-on implementations from an AI Agents course covering agentic architectures, tool integration with MCP, context engineering, observability, and production-ready multi-agent systems.

A 5-day online course by Google’s ML researchers and engineers, covering foundational Generative AI concepts, hands-on coding, and advanced techniques like prompt engineering, embeddings, AI agents, domain-specific LLMs, and MLOps

A collection of agentic AI practical examples and Labs

The Complete Agentic AI Engineering Course (2025)

Hands-on labs for deploying Basic Agentic Infrastructure using AgentGateway, kagent, and Kubernetes

Reference materials for the Udemy course: Agentic AI Engineering on AWS

Notes and code from the Coursera Vanderbilt course Claude Code: Software Engineering with Generative AI Agents

Complete AI Basic Course - 2026 Edition | 16 Modules covering Prompt Engineering, 50+ AI Tools, Free APIs, Agent Building, AI for Coding & Pentesting Resources

Weekly AI engineering projects built with Claude and the Anthropic API - covering agents, tools, and applied AI concepts through the CodePath x Anthropic course.

Interactive course teaching how AI coding agents work — reverse-engineering Claude Code's architecture. Generated from shareAI-lab/learn-claude-code + zarazhangrui/codebase-to-course.

A comprehensive course on building intelligent AI agents using the Google Agent Development Kit (ADK). This repository contains materials for a 5-day intensive course covering everything from prompt engineering to production-ready agent systems

Cloud Storage Aggregator | Python | FastAPI | REST | TypeScript | NextJS | PostgreSQL | AI Agents (ReAct) | Agile [ Project for the course CSE327: Software Engineering ( NbM ) ]

Agentics 101 is a beginner-friendly introduction to agentic engineering. The course teaches you how to supervise AI agents using clear specifications, GitHub, and modern LLMs. You write the plan, the agent writes the file. Bradley, Nicholas, and Agentics Foundation

This repository includes resources from the "AI Engineer Agentic Track: The Complete Agent & MCP Course" by Ed Donner on Udemy. It showcases projects and assignments that guide learners in building AI agents. Explore practical applications and deepen your understanding of AI engineering through hands-on experience!

A comprehensive resource collection for Google X Kaggle's 5-Day AI Agents Intensive Course. Learn to build production-grade AI agents using tools, context engineering, memory systems, and deployment strategies. Includes codelabs, whitepapers, expert questions, and real-world examples.

Sample app for the HeroForge Course: AI-Powered Software Development with Agentic Engineering