Workshop Overview
Welcome to the AI Agent Workshop!
This workshop uses the agentic-playground repository to introduce concepts and practical implementations of AI agents.
Target Audience: This workshop is designed for developers, AI enthusiasts, and technical customers interested in understanding and building AI agents.
Goal: By the end of this workshop, you will: * Understand the fundamental concepts of AI agents. * Explore various agent patterns (ReAct, Multi-Agent, Human-in-the-Loop). * Gain hands-on experience with relevant frameworks and libraries used in the repository (e.g., OpenAI API patterns, LangChain, Semantic Kernel, AutoGen).
Format: The workshop combines presentations, detailed code walkthroughs based on the repository examples, and hands-on exercises to reinforce learning.
Repository: All code examples are sourced from the following GitHub repository: https://github.com/denniszielke/agentic-playground We encourage you to explore the repository alongside the workshop materials.
Workshop Structure:
- Day 1: Foundations: Basic LLM interaction, handling multimodal inputs (images), and working with complex data structures.
- Day 2: Single Agents & Orchestration: Equipping agents with tools, implementing autonomous agents (ReAct), and incorporating human-in-the-loop workflows.
- Day 3: Advanced Multi-Agent Systems: Designing systems with multiple collaborating agents using structured workflows and dynamic group chats.
Conceptual Stack:
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