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

AI-powered geospatial analysis & QC agent platform on Google ADK. Surveying QC system (30 defect codes, 7 workflow templates, ArcGIS Pro dual-engine DL). Three-angle causal inference + World Model (AlphaEarth JEPA) + DRL Dreamer. 21/21 agentic patterns, 40+ toolsets (230+ tools), 203+ REST APIs, 4 subsystems (CV/CAD/ArcGIS/RefData). v15.7

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

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

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

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

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