Videos
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Building AI Agent Workflows with Semantic Kernel
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.
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On .NET Live - Leveraging Source Generators in Jinget
In this episode, dotnet and guests explore how Vahid Farahmandian integrated .NET Source Generators into the Jinget framework, discussing key challenges, insights, and best practices.
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Build your first MCP server
Microsoft Developer presents a video guide to building your first Model Context Protocol (MCP) server, covering environment setup, core development concepts, and cloud deployment.
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.NET Data Community Standup - Exploring jOOQ with Lukas Eder
In this video, dotnet hosts Lukas Eder, the author of jOOQ, to explore the tool’s features and its insights for the .NET ORM ecosystem.
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VS Code Live - Vibe Coding PromptBoost.dev with Oren (Episode 9)
Visual Studio Code presents Oren joining a live session to demonstrate ‘vibe coding’ with PromptBoost.dev, leveraging GitHub Copilot. This episode offers practical insights into modern coding workflows and tool integrations.
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Rubber Duck Thursday - Building an App with GitHub Copilot Agent Mode for the Competition
GitHub demonstrates how to build an application using Copilot Agent Mode for the ‘For the Love of Code’ competition. Join this session to learn from GitHub’s practical workflow and Copilot integration.
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Choosing Your First AI Application
In this article, John Savill’s Technical Training provides a comprehensive overview for organizations considering their first AI workload. The author covers essential preparation steps, example use cases, considerations around business value and data, technical feasibility, ethics, and risk minimization, with a focus on Microsoft’s Azure ecosystem. Readers will gain practical insights to make informed decisions about adopting AI in their organizations.
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Azure Update - 18th July 2025
In this roundup by John Savill’s Technical Training, key Microsoft Azure updates and new video content are featured. John walks through topics such as PowerShell Durable Functions, Azure Kubernetes Service (AKS) enhancements, Cosmos DB integrations, Databricks connections, Azure AI changes, and backup improvements. Readers are also informed about community resources, learning paths, and best practices for Azure development and operations.
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VS Code Live - Exploring v1.102 Release Features—AI Chat, MCP, Coding Agent & More
In this live session, the Visual Studio Code team—including Olivia McVicker, Isidor Nikolic, and more—uncover the headline features from VS Code v1.102. Discover enhancements like AI chat, MCP updates, and coding agent integration.
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What's Your Favorite OpenAPI Feature? Build-Time Generation in .NET 9 Explained
In this #OneDevQuestion video, Mike Kistler shares his favorite .NET 9 OpenAPI feature—build-time doc generation—and its developer benefits.
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GitHub Copilot Features - Model selection
In this comprehensive guide, Liuba explores the strategic use of different models in GitHub Copilot’s chat interface through expert demonstrations. The video covers when and how to select the most appropriate model for various coding scenarios, providing practical insights that can improve your development workflow and code quality. Whether you’re new to GitHub Copilot or looking to optimize your current usage, this tutorial offers valuable guidance on leveraging model selection effectively.
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Artificial Intelligence (AI) and Machine Learning (ML) for Everyone!
In this comprehensive video guide, John Savill offers beginners a clear introduction to artificial intelligence (AI), machine learning (ML), and related technologies. The article outlines video chapters covering key concepts such as supervised and unsupervised learning, reinforcement learning, generative AI, LLMs, neural networks, and agents. John also directs viewers to a wealth of resources for further self-paced Azure learning, certifications, DevOps, and more. He emphasizes the importance of seeking community support and provides tips for maximizing learning via auto-translation features. This guide is ideal for anyone wanting to understand the foundations of AI and ML while leveraging Microsoft technologies for continuous growth.
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ASP.NET Community Standup - Blazing-fast AI chat with ASP.NET Core & SignalR
In this article, dotnet features Shaltiel Shmidman, a Deep Learning Developer at DICTA, on his journey building a performant, real-time AI chat app using C#, ASP.NET Core, and SignalR during the T3 Chat Cloneathon. The discussion spotlights technical challenges and solutions like safe streaming, automatic reconnections, and seamless synchronization across browser tabs, demonstrating the power and simplicity of Microsoft technologies for AI-driven applications.
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ASP.NET Community Standup - Why Aren't You Using Minimal APIs?
Hosted by Daniel Roth, Mike Kistler, and Safia Abdalla, this ASP.NET Community Standup delves into the benefits of Minimal APIs and discusses reasons developers may prefer controller-based applications.
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Microsoft Security Copilot Entra Update and Conditional Access Agent
In this article, John Savill explores significant new enhancements to Microsoft Security Copilot for Entra, focusing on the updated user experience, improved integration through conditional access agents, and the new natural language to graph capability. Savill provides hands-on demonstrations and detailed walkthroughs, offering security and IT professionals a clear view of the tool’s latest features and practical use cases. If you’re looking for how Microsoft is leveraging AI in enterprise identity and security, this overview is for you.
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MCP C# SDK - What’s New, What’s Next!
Author dotnet invites developers to an online session focusing on the newest features and future plans for the C# MCP SDK. This event aims to help programmers leverage .NET and the MCP SDK to enhance their applications, particularly with AI integrations. The session promises live demonstrations, practical tips, and insights for both experienced C# developers and newcomers interested in adding intelligent features to their workflows.
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Azure Update - 11th July 2025
In this brief update, John Savill from John Savill’s Technical Training provides highlights of the latest developments in Azure and cloud infrastructure. He discusses recent video content, policy changes due to channel growth, and directs users to external forums for technical questions.
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Let's Learn MCP: C#
In this comprehensive workshop, Katie Savage and James Montemagno from the dotnet team introduce developers to the Model Context Protocol (MCP), a cutting-edge framework designed to standardize interactions between AI models and client applications. This beginner-friendly session guides participants through creating their first MCP server using C#, providing practical insights into this emerging technology that’s shaping the future of AI development.
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MCP or A2A
In this article, John Savill’s Technical Training investigates whether developers need to choose between the MCP or A2A protocols—or if both are necessary—when architecting AI solutions.
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.NET MAUI Community Standup - Blazor for Mobile with AI? Here's how.
In this article, dotnet highlights Beth Massi’s walkthrough on augmenting a web app with native mobile capabilities and AI integration. Using Blazor and .NET MAUI, along with Microsoft’s Azure AI Foundry, Massi showcases how to bring AI and platform-specific enhancements to cross-platform applications. The article also features contributions from David Ortinau and provides links for deeper community engagement.
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.NET AI Community Standup - AI in .NET - What’s New, What’s Next
In this article, dotnet introduces an online session that delves into how the .NET ecosystem is amplifying its AI and Machine Learning capabilities. The session, featuring Bruno Capuano and Tanner Gooding, discusses enhancements like tensor support in .NET 9 and previews new features expected in .NET 10. This is an insightful resource for developers eager to leverage intelligent technologies within .NET applications.
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Step-by-Step - Orchestrating AI Agents in Blazor with Semantic Kernel
In this detailed guide, Learn Microsoft AI walks readers through orchestrating AI agents in Blazor using Microsoft Semantic Kernel, providing hands-on demos and practical advice for .NET developers and AI enthusiasts.
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How to Connect Copilot Studio Agents with Semantic Kernel for Smarter AI
In this article, authored by Learn Microsoft AI, you’ll discover how to integrate Microsoft Copilot Studio agents with Semantic Kernel to create smarter and more dynamic AI-powered workflows. The piece guides both beginners and experienced users through all the necessary steps, from setting up Azure App Registration and permissions to practical coding in Visual Studio, and finishes with troubleshooting advice. Whether you’re just starting with Copilot Studio or looking to unlock new real-world capabilities through external integrations, this article provides a comprehensive roadmap.
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Build Agents -Copilot Studio - Season of Agents - Season 4-Connect your agents using Semantic Kernel
In this article, Learn Microsoft AI guides readers through a live session focused on building intelligent agents with Microsoft Copilot Studio. The session covers enabling seamless communication between agents, extending agent functionalities to interact with external systems via Semantic Kernel, and integrating these capabilities into real-world workflows. Whether you’re just starting with Copilot Studio or seeking to expand your AI agents’ capabilities, the practical demonstrations and hands-on guidance offer valuable insights.
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AI Challenger | Loft Orbital - Building Smarter Satellites with AI
In this video, Microsoft Cloud highlights Lucas Brémond from Loft Orbital, who demonstrates the transformative impact of AI on satellite operations and resource efficiency.
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Azure Update - 6th June 2025
In this week’s update, John Savill’s Technical Training explores the latest Microsoft Azure changes, from Azure Files NFS support and database upgrades to an AI managed network RBAC enhancement and CrowdStrike-mapped threat actor naming. John points viewers to a rich set of Azure learning resources, recommends alternative venues for support, and provides a structured summary of the major technical topics discussed. The article is a helpful reference for cloud practitioners interested in staying current with weekly Azure developments.
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Step-by-Step - Deploy MCP Server to Azure & Connect with Semantic Kernel
Authored by Learn Microsoft AI, this tutorial provides a hands-on walkthrough for deploying an MCP (Model Context Protocol) Server on Microsoft Azure. It demonstrates how to connect your server using Semantic Kernel and build scalable, intelligent applications with modern AI tools. Ideal for AI enthusiasts, developers, and those working with Semantic Kernel.
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Agent - Concurrent Orchestration in Semantic Kernel
In this article, Learn Microsoft AI introduces the Concurrent Pattern in AI agent orchestration. The author delves into how this approach empowers multiple agents to solve tasks in parallel, illustrated with a practical coding demo. The piece also covers real-world scenarios such as brainstorming, ensemble reasoning, and voting systems, emphasizing the benefits of diverse and flexible AI solutions.
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Azure Update - 30th May 2025
In this weekly Azure update, John Savill’s Technical Training shares a comprehensive roundup of recent Azure service enhancements, ranging from App Service and Azure Firewall to Cosmos DB and API Management improvements. The episode highlights new Azure AI Foundry features, discusses logging, authentication, and integration upgrades, and provides viewers with guidance on accessing learning resources. John also explains how viewers can find content on specific topics and provides suggestions for community support.
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Semantic Kernel Plugin in Action on MCP Server - Step-by-Step Guide #SemanticKernel #MCP #aiagents
Author Learn Microsoft AI provides a hands-on guide for developers on integrating intelligent plugins with MCP-powered AI agents using Semantic Kernel. The tutorial covers everything from setting up the MCP Server and creating a Semantic Kernel plugin to registering and invoking the plugin in real time. This content is particularly relevant for those building smart, AI-driven applications and looking for practical demonstration of plugin integration with key Microsoft technologies.
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Semantic Kernel Group Orchestration - How to Coordinate Multiple AI Agents
In this article, Learn Microsoft AI delves into multi-agent orchestration using Semantic Kernel, focusing on how this technology enhances AI collaboration. The discussion covers the fundamentals of orchestrating multiple specialized agents, enabling them to collaboratively solve complex problems—much like an effective human team. The article highlights key concepts such as group chat orchestration, real-world applications like meetings and debates, and offers practical guidance for developers and AI enthusiasts aiming to build collaborative AI systems.
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Semantic Kernel Agent Orchestration
Authored by Learn Microsoft AI, this article delves into leveraging Semantic Kernel for orchestrating multi-agent AI systems. It highlights how multiple intelligent agents with specialized skills can coordinate seamlessly to solve complex, real-world problems more effectively. Readers are introduced to the benefits of smarter and more adaptive solutions enabled by advanced agent collaboration techniques.
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MCP in Microsoft Extensions.AI – Connect to Local MCP Server Easily
This article by Learn Microsoft AI explains how to set up a connection to an MCP (Model Context Protocol) Server using Microsoft.Extensions.AI. It covers step-by-step configuration, how to embed the MCP client within your own projects, and enabling real-time model context processing for your applications.
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How to Build an MCP Server and Connect It to Semantic Kernel — Full Tutorial!'🚀
Learn Microsoft AI presents a hands-on guide for developers looking to understand and implement the Model Context Protocol (MCP) Server. The article breaks down the process of setting up an MCP Server from scratch and demonstrates how to connect it with a Semantic Kernel Client. Ideal for both beginners and those wishing to deepen their AI application expertise, this piece emphasizes how these tools help create more context-aware and dynamic AI solutions.
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Customer Chats - Chris Quinn from Fujitsu at Microsoft Ignite 2024
Microsoft Events hosts an interview with Chris Quinn from Fujitsu, offering expert insights into AI, Azure, DevOps, and cloud security, as discussed at Microsoft Ignite 2024.
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Microsoft Agent SDK - Exploring Semantic Kernel Agent SDK
In this article, Learn Microsoft AI introduces the Microsoft 365 Agents SDK, a developer toolkit designed for building secure, full-stack, multichannel agents across Microsoft 365 platforms. The SDK streamlines agent development for Teams, Copilot Studio, Webchat, and even integrates with third-party messaging services. Highlighting its broad AI integration capabilities, the article touches on how developers can leverage Azure AI and Semantic Kernel to create enterprise-ready, intelligent solutions.
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Usage Metrics
This video demonstrates GitHub Copilot’s Usage Metrics feature. Track and analyze Copilot usage across your team.
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Unit Tests
This video demonstrates GitHub Copilot’s Unit Tests feature. Automate your testing process with Copilot’s unit test generation.