Authored by Microsoft Developer, this video covers building practical AI agents and workflows with Semantic Kernel and Azure AI Foundry, including a demo of SemantiClip.

Summary

In this episode, Microsoft Developer presents a guide to building interoperable AI agent workflows using the open-source Semantic Kernel project. The focus is on helping viewers practically implement AI-driven solutions, leveraging the agent and process frameworks provided by Semantic Kernel.

Key Highlights

  • Demonstration of SemantiClip:
    • An open-source AI agent that converts videos into structured blog content.
    • Utilizes Semantic Kernel in combination with Azure AI Foundry.
    • Source code is available for viewers to explore and adapt.
  • Semantic Kernel Overview:
    • Explanation of agent and process frameworks available within Semantic Kernel.
    • Guidance on how to architect interoperable, reusable AI agents for various workflow needs.
  • Orchestration Patterns:
    • Insights from Evan Mattson on the different orchestration models supported by Semantic Kernel.
    • Guidance on choosing the appropriate framework for different use cases.
  • Real-World Application Guidance:
    • Step-by-step strategies to build functional AI experiences.
    • Discussion about practical concerns and best practices in deploying AI agents and workflows.

Resources

  • Semantic Kernel Project: GitHub repository
  • SemanticClip Source: SemantiClip on GitHub
  • Get Involved: Opportunities to connect, contribute to the open-source ecosystem, or submit your own OSS project to Open at Microsoft.

Connect with Hosts

Series Info

  • New episodes every Tuesday.
  • Open at Microsoft playlist and project submission info included in the video resources.

This episode is a practical resource for developers seeking to build real-world AI workflows using Microsoft’s Semantic Kernel and related Azure AI solutions.