Microsoft Agent Framework: Building Intelligent Agents

Use Semantic Kernel in C# to develop secure, scalable AI agents with testing and monitoring capabilities.

In this training, you will learn to use Semantic Kernel to leverage professional LLM Agents. Using a lot of hands-on exercises you will get familiar with the full scope of developing LLM Agents, including topics like LLMOps, prompt templates, API integrations, Retrieval Augmented Generation and memory management.
By the end of this training, you will be able to architect and develop secure, scalable AI agent systems using Semantic Kernel, with comprehensive testing and monitoring capabilities for business applications.
- Understand large language models, their capabilities, and how to select the right model for different use cases [Understand]
- Construct and configure Semantic Kernel applications with multiple AI connectors in both console and web environments [Apply]
- Write effective prompts using templates, hyperparameters, and few-shot learning techniques [Apply]
- Explain the need for LLMOps practices including testing, monitoring, cost management, and security measures [Understand]
- Produce chat-based applications using conversation history and streaming responses [Apply]
- Implement testing and monitoring for LLM applications using OpenTelemetry and st…