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.
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.
GIS Data Agent v24.1 — AI-powered Agentic Spatial Data Governance Platform built on Google ADK. NL2SQL benchmark 16/16, 42 toolsets, 26 skills, 297 REST APIs, DeepSeek/Gemini dual-model, three-pipeline semantic routing, DRL optimization, world model, causal inference, 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
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.
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