5:30 du. - 6:30 du. (UTC)

This Learn Live offers a hands-on introduction to GitHub Copilot's powerful agent mode capabilities. Participants will experience firsthand how this advanced AI coding assistant can transform the development workflow by: Autonomously iterating on code to improve functionality Identifying and fixing errors without manual intervention Suggesting relevant terminal commands for execution Analyzing runtime errors with built-in self-healing capabilities Through guided exercises, attendees will rapidly develop a complete application by leveraging Copilot's agent mode to establish a development environment, install dependencies, create necessary files, and run/test the application code. This workshop demonstrates how AI-assisted development can dramatically reduce development time while maintaining code quality. Follow along with the content: Build, test, deploy applications securely with GitHub and Microsoft Azure

5:30 du. - 6:30 du. (UTC)

Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team. Follow along with the content: Plan and Prepare to Develop AI Solutions on Azure Build secure and responsible AI solutions and manage generative AI lifecycles Create agentic AI solutions by using Azure AI Foundry

5:30 du. - 6:30 du. (UTC)

In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input. You also learn how generative AI enables the creation of agents that can assist humans in creative tasks. Learning objectives By the end of this module, you are able to: Understand generative AI's place in the development of artificial intelligence. Understand language models and their role in intelligent applications. Describe examples of Microsoft Copilot, agents, and good prompts. Follow along with the content here: Develop an AI agent with Azure AI Agent Service Build secure and responsible AI solutions and manage generative AI lifecycles Create agentic AI solutions by using Azure AI Foundry

5:30 du. - 6:30 du. (UTC)

This module provides engineers with the skills to begin building agents with Azure AI Agent Service. Learning objectives By the end of this module, you'll be able to: Describe the purpose of AI agents Explain the key features of Azure AI Agent Service Build an agent using the Azure AI Agent Service Integrate an agent in the Azure AI Agent Service into your own application Follow along with the content here: Develop an AI agent with Azure AI Agent Service Build secure and responsible AI solutions and manage generative AI lifecycles Create agentic AI solutions by using Azure AI Foundry

5:30 du. - 6:30 du. (UTC)

Built-in tools are useful, but they may not meet all your needs. In this module, learn how to extend the capabilities of your agent by integrating custom tools for your agent to use. Learning objectives By the end of this module, you'll be able to: Describe the benefits of using custom tools with your agent. Explore the different options for custom tools. Build an agent that integrates custom tools using the Azure AI Agent Service. Follow along with the content here: Integrate custom tools into your agent Build secure and responsible AI solutions and manage generative AI lifecycles Create agentic AI solutions by using Azure AI Foundry

5:30 du. - 6:30 du. (UTC)

Learn how to use the Semantic Kernel SDK to develop your own AI agents that can collaborate for a multi-agent solution. Learning objectives By the end of this module, you'll be able to: Build AI agents using the Semantic Kernel SDK Create custom plugin functions for your AI agents Develop multi-agent solutions Follow along with the content here: Build secure and responsible AI solutions and manage generative AI lifecycles Create agentic AI solutions by using Azure AI Foundry