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.

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

GIS Data Agent (ADK Edition) v17.1 — AI-powered geospatial analysis platform built on Google ADK. 21/21 design patterns, 4000+ tests, 241 REST APIs, DRL optimization, multi-modal fusion v2.0, 3-tier vector tile rendering, causal inference, world model, 40+ toolsets, 24 ADK Skills.

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

28 agentic design pattern skills for Gemini CLI, Antigravity, and Claude Code. Supports English, Korean, Japanese, and Chinese triggers.

Gemini CLI Extension — Gemini CLI Extension packaging 28 agentic design pattern skills for building production AI agents. Supports English, Korean, Japanese, and Chinese triggers.

Research multi-graph agency follows supervisor design pattern

Information Retrieving with attention models, Agentic workflow to learn, reason and act.

Agent-based design patterns drive autonomous and intelligent systems capable of making precise decisions and coordinating tasks with maximum efficiency.