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 platform built on Google ADK v1.27.2. Multi-language semantic routing, 3 specialized pipelines, BCG enterprise platform capabilities (Prompt Registry, Model Gateway, Context Manager, Eval Framework). 2712+ tests, 211+ APIs, 40+ toolsets. Surveying QC system with GB/T 24356, SLA workflows, ArcGIS Pro dual-engine MCP.

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.

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.

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.