Implement with impact​ Agentic AI Hackathon

Duration - 8 hours

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Level -

Last Updated Jun 2025

Target Audience

Project Ready

Suggested Certification

No

Hands on Labs

No

Course Code

-

Course Overview

The Agentic AI Hackathon is a hands-on, immersive learning experience focused on building intelligent multi-agent AI applications leveraging Azure AI Foundry, Azure OpenAI services, AutoGen Framework, Semantic Kernel, GitHub, and Visual Studio Code. Participants will gain practical expertise in developing and deploying AI-powered solutions, mastering skills such as AI agent customization, orchestration, and automation. This workshop equips developers with real-world capabilities to innovate and accelerate AI adoption using Azure AI and GitHub tools.

Course Modules

Build and Deploy Azure AI Agents

Build a personalized AI agent web app

Modify agent persona, UI, and deploy via Visual Studio Code

Learn: AI agent logic, UI customization, GitHub Actions

Build an end-to-end multi agents

Explore multi-agent workflows for task automation

Modify logic, create new tasks, simulate scenarios

Learn: Agent orchestration, system design

Enable multi-agent interactions using agentic framework capabilities

Implement task routing across agents for problem solving

Customize workflows and agent coordination

Learn: Advanced agent logic, Azure AI integration

Build a multi-agent presentation builder

Generate slide decks using AI agents based on topics

Modify templates, slide logic, and deploy

Learn: Prompt engineering, content generation, automation

Course Prerequisites

  • GitHub account
  • Active Azure subscription (provided during hackathon)
  • Familiarity with Python, JavaScript/TypeScript and React
  • Azure Developer CLI and terminal usage (recommended)
  • Laptop or browser-based device

Learning Outcomes

  • Core concepts of Agentic AI and multi-agent collaboration
  • Implementing AI agents using Semantic Kernel SDK and AutoGen Framework
  • Designing and orchestrating AI workflows, tools, and plans
  • Customizing agent behavior, logic, and multi-agent interactions
  • Integrating AI agents with real-world applications (chat, presentations, automation)
  • Deploying AI solutions using Azure AI Foundry

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