This is end to end course on AI Agents and Agentic AI with 15+ AI Agent Projects with real time use cases and industry expertise.
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Updated
Apr 17, 2026 - Jupyter Notebook
This is end to end course on AI Agents and Agentic AI with 15+ AI Agent Projects with real time use cases and industry expertise.
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
29 essential agentic design patterns for building intelligent AI systems
A 7×6 framework for agent architecture. 28 patterns, each placed at a coordinate, runnable Python code with verified engineering slices from Claude Code, Aider, OpenHands, DeerFlow. Companion to Designing AI Agents (Manning) by Jia Huang.
Complete Implementation of 21 Agentic Design Patterns A comprehensive collection of production-ready AI agent patterns, each as a runnable project. Master agentic design through practical examples covering prompt chaining, multi-agent systems, RAG, and more. Perfect for AI developers, researchers, and teams building complex AI workflows
The Synapti Marketplace is a curated collection of Claude Code plugins designed for AI-augmented development + advanced analytical and research tasks. Each plugin provides specialized agents, skills, and commands that extend Claude Code's capabilities in specific domains.
28 agentic design pattern skills for Gemini CLI, Antigravity, and Claude Code. Supports English, Korean, Japanese, and Chinese triggers.
GIS Data Agent v25.0 — Agentic Spatial Data Governance Platform on Google ADK. Standards Platform full lifecycle (6 derivation strategies, 3/6 shipped) + Dual-layer World Model v2 + NL2SQL hardening. 5400+ tests, 44 toolsets, 26 skills, 297 REST APIs, 82 migrations, 21/21 agentic patterns, DRL optimization, surveying QC, React three-panel UI.
Agentic Design Patterns for LLM Workflows — A curated collection of reusable, modular patterns for building robust and autonomous LLM-powered agents, covering multi-agent orchestration, memory, prompt flows, and tool integrations
Research multi-graph agency follows supervisor design pattern
Gemini CLI Extension — Gemini CLI Extension packaging 28 agentic design pattern skills for building production AI agents. Supports English, Korean, Japanese, and Chinese triggers.
A hands-on, from-scratch repository for learning and building multi-agent agentic AI systems. Explore Agentic-Rag, MUlti-agent RAG, ReAct, reflection, planning, human-in-the-loop, multi-agent , hierarchical , and RAG patterns using LangGraph, Python, and Jupyter notebooks.
Information Retrieving with attention models, Agentic workflow to learn, reason and act.
Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems by Antonio Gulli
10 hands-on demos covering every major agentic workflow design pattern — built with the OpenAI Agents SDK
Agent-based design patterns drive autonomous and intelligent systems capable of making precise decisions and coordinating tasks with maximum efficiency.
Build and operate production-grade AI agent systems through this 22-chapter technical course designed for collaborative learning with AI partners.
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