Level Up Your Python Game with Generative AI Free Livestream Series This October!
If you've been itching to go beyond basic Python scripts and dive into the world of AI-powered applications, this is your moment. Join Pamela Fox and Gwyneth Peña-Siguenza Gwthrilled to announce a brand-new free livestream series running throughout October, focused on Python + Generative AI and this time, we’re going even deeper with Agents and the Model Context Protocol (MCP). Whether you're just starting out with LLMs or you're refining your multi-agent workflows, this series is designed to meet you where you are and push your skills to the next level. 🧠 What You’ll Learn Each session is packed with live coding, hands-on demos, and real-world examples you can run in GitHub Codespaces. Here's a taste of what we’ll cover: 🎥 Why Join? Live coding: No slides-only sessions — we build together, step by step. All code shared: Clone and run in GitHub Codespaces or your local setup. Community support: Join weekly office hours and our AI Discord for Q&A and deeper dives. Modular learning: Each session stands alone, so you can jump in anytime. 🔗 Register for the full series 🌍 ¿Hablas español? We’ve got you covered! Gwyneth Peña-Siguenza will be leading a parallel series in Spanish, covering the same topics with localized examples and demos. 🔗 Regístrese para la serie en español Whether you're building your first AI app or architecting multi-agent systems, this series is your launchpad. Come for the code, stay for the community — and leave with a toolkit that scales. Let’s build something brilliant together. 💡 Join the discussions and share your exprience at the Azure AI Discord CommunityAzure Workbook for ACR tokens and their expiration dates
In this article, we will see how to monitor Azure Container Registry (ACR) tokens with their expiration dates. We will demonstrate how to do this using the Azure REST API: Registries - Tokens - List and an Azure Workbook. To obtain a list of Azure Container Registry (ACR) tokens and their expiration dates using the Azure Resource Manager API, we need to perform a series of REST API calls to authenticate and retrieve the necessary information. This process involves the following steps: Authenticate and obtain an access token. List ACR tokens. Get token credentials and expiration dates.MCP Bootcamp: APAC, LATAM and Brazil
The Model Context Protocol (MCP) is transforming how AI systems interact with real-world applications. From intelligent assistants to real-time streaming, MCP is already being adopted by leading companies—and now is your chance to get ahead. Join us for a four-part technical series designed to give you practical, production-ready skills in MCP development, integration, and deployment. Whether you're a developer, AI engineer, or cloud architect, this series will equip you with the tools to build and scale MCP-based solutions. 📅 English edition - 6PM IST (India Standard Time) ✅ Register at MCP Bootcamp APAC Session Title Date & Time (IST) Creating Your First MCP Server Learn the fundamental concepts of the protocol and test your implementation using official tools. August 28, 6:00 PM MCP Integration with LLMs Set up an intelligent MCP client that uses LLM to interpret natural commands and integrate everything with VS Code and GitHub Copilot. September 2, 6:00 PM Real-Time with SSE and HTTP Streaming Add real-time communication to your MCP server using Server-Sent Events and streamable HTTP. September 4, 6:00 PM Deploy MCP on Azure Add Real-Time Communication with Server-Sent Events to Your MCP Server and Professionally Deploy on Azure Container Apps. September 9, 6:00 PM 📅 Spanish edition - 9AM CST (Central Standard Time, Mexico City) ✅ Check the time in your location: 11am ET, 8am PT, 9am CST e 5pm CET - Register at MCP Bootcamp LATAM Session Title Date & Time (CST) Creando tu Primer Servidor MCP Construye desde cero un servidor MCP funcional en Python. Aprende los conceptos fundamentales del protocolo y prueba tu implementación usando herramientas oficiales. August 18, 09:00 AM Integración de MCP con LLMs Configura un cliente MCP inteligente que utilice LLM para interpretar comandos en lenguaje natural e intégralo con VS Code y GitHub Copilot. August 20, 09:00 AM MCP en Tiempo Real y Deploy en Azure Agrega comunicación en tiempo real con Server-Sent Events a tu servidor MCP y realiza un despliegue profesional en Azure Container Apps. August 25, 09:00 AM Comunicación en tiempo real con SSE y transmisión HTTP Agrega comunicación en tiempo real con Server-Sent Events a tu servidor MCP y realiza un despliegue profesional en Azure Container Apps. September 1, 09:00 AM 📅 Portuguese edition - 12PM BRT (Brasília Time) ✅ Register at MCP Bootcamp | Brasil Session Title Date & Time (BRT) Criando seu Primeiro MCP Server Construa do zero um servidor MCP funcional em Python. Aprenda os conceitos fundamentais do protocolo e teste sua implementação usando ferramentas oficiais. August 19, 12:00 PM Integração de MCP com LLMs Configure um cliente MCP inteligente que usa LLM para interpretar comandos naturais e integre tudo com VS Code e GitHub Copilot. August 21, 12:00 PM Deploy no Azure Adicione comunicação em tempo real com Server-Sent Events ao seu servidor MCP e faça deploy profissional na Azure Container Apps. August 26, 12:00 PM Comunicação em Tempo Real com SSE e HTTP Streaming Aprenda a adicionar comunicação em tempo real ao seu servidor MCP usando Server-Sent Events (SSE) e streaming HTTP. August 28, 12:00 PMStrategic Solutions for Seamless Integration of Third-Party SaaS
Modern systems must be modular and interoperable by design. Integration is no longer a feature, it’s a requirement. Developers are expected to build architectures that connect easily with third-party platforms, but too often, core systems are designed in isolation. This disconnect creates friction for downstream teams and slows delivery. At Microsoft, SaaS platforms like SAP SuccessFactors and Eightfold support Talent Acquisition by handling functions such as requisition tracking, application workflows, and interview coordination. These tools help reduce costs and free up engineering focus for high-priority areas like Azure and AI. The real challenge is integrating them with internal systems such as Demand Planning, Offer Management, and Employee Central. This blog post outlines a strategy centered around two foundational components: an Integration and Orchestration Layer, and a Messaging Platform. Together, these enable real-time communication, consistent data models, and scalable integration. While Talent Acquisition is the use case here, the architectural patterns apply broadly across domains. Whether you're embedding AI pipelines, managing edge deployments, or building platform services, thoughtful integration needs to be built into the foundation, not bolted on later.Quest 5 - I want to add conversation memory to my app
In this quest, you’ll explore how to build GenAI apps using a modern JavaScript AI framework, LangChain.js. LangChain.js helps you orchestrate prompts, manage memory, and build multi-step AI workflows all while staying in your favorite language. Using LangChain.js you will make your GenAI chat app feel truly personal by teaching it to remember. In this quest, you’ll upgrade your AI prototype with conversation memory, allowing it to recall previous interactions making the conversation flow more naturally and human-like. 👉 Want to catch up on the full program or grab more quests? https://aka.ms/JSAIBuildathon 💬 Got questions or want to hang with other builders? Join us on Discord — head to the #js-ai-build-a-thon channel. 🔧 What You’ll Build A smarter, context-aware chat backend that: Remembers user conversations across multiple exchanges (e.g., knowing "Terry" after you introduced yourself as Terry) Maintains session-specific memory so each chat thread feels consistent and coherent Uses LangChain.js abstractions to streamline state management. 🚀 What You’ll Need ✅ A GitHub account ✅ Visual Studio Code ✅ Node.js ✅ A working chat app from previous quests (UI + Azure-based chat endpoint) 🛠️ Concepts You’ll Explore Integrating LangChain.js Learn how LangChain.js simplifies building AI-powered web applications by providing a standard interface to connect your backend with Azure’s language models. You’ll see how using this framework decouples your code and unlocks advanced features. Adding Conversation Memory Understand why memory matters in chatbots. Explore how conversation memory lets your app remember previous user messages within each session enabling more context-aware and coherent conversations. Session-based Message History Implement session-specific chat histories using LangChain’s memory modules (ChatMessageHistory and BufferMemory). Each user or session gets its own history, so previous questions and answers inform future responses without manual log management. Seamless State Management Experience how LangChain handles chat logs and memory behind the scenes, freeing you from manually stitching together chat history or juggling context with every prompt. 📖 Bonus Resources to Go Deeper Exploring Generative AI in App Development: LangChain.js and Azure: a video introduction to LangChain.js and how you can build a project with LangChain.js and Azure 🦜️🔗 Langchain: the official LangChain.js documentation. GitHub - Azure-Samples/serverless-chat-langchainjs: Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure: A GitHub sample that helps you build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure GitHub - Azure-Samples/langchainjs-quickstart-demo: Build a generative AI application using LangChain.js, from local to Azure: A GitHub sample that helps you build a generative AI application using LangChain.js, from local to Azure. Microsoft | 🦜️🔗 Langchain Official LangChain documentation on all functionalities related to Microsoft and Microsoft Azure. Quest 4 - I want to connect my AI prototype to external data using RAG | Microsoft Community Hub a link to the previous quest instructions.Quest 9: I want to use a ready-made template
Building robust, scalable AI apps is tough, especially when you want to move fast, follow best practices, and avoid being bogged down by endless setup and configuration. In this quest, you’ll discover how to accelerate your journey from prototype to production by leveraging ready-made templates and modern cloud tools. Say goodbye to decision fatigue and hello to streamlined, industry-approved workflows you can make your own. 👉 Want to catch up on the full program or grab more quests? https://aka.ms/JSAIBuildathon 💬 Got questions or want to hang with other builders? Join us on Discord — head to the #js-ai-build-a-thon channel. 🚀 What You’ll Build A fully functional AI application deployed on Azure, customized to solve a real problem that matters to you. A codebase powered by a production-grade template, complete with all the necessary infrastructure-as-code, deployment scripts, and best practices already baked in. Your own proof-of-concept or MVP, ready to scale or show off to the world. 🛠️ What You Need ✅ GitHub account ✅ Visual Studio Code ✅ Node.js ✅ Azure subscription (free trials and student credits available) ✅ Azure Developer CLI (azd) ✅ The curiosity to solve a meaningful problem! 🧩 Concepts You’ll Explore Azure Developer CLI (azd) Learn how azd, the developer-first command-line tool, simplifies authentication, setup, deployment, and teardown for Azure apps. With intuitive commands like azd up and azd deploy, you can go from zero to running in the cloud no deep cloud expertise required. Production-Ready Templates Explore a gallery of customizable templates designed to get your app up and running fast. These templates aren’t just “hello world” they feature scalable architectures, sample code, and reusable infrastructure assets to launch everything from chatbots to RAG apps to full-stack solutions. Infrastructure as Code (IaC) See how every template bundle configuration files and scripts to automatically provision the cloud resources you need. You’ll get a taste of how top teams ship secure, repeatable, and maintainable systems without manually clicking through Azure dashboards. Best Practices by Default Templates incorporate industry best practices for code structure, deployment, and scalability. You’ll spend less time researching how to “do it right” and more time customizing your application to fit your unique use case. Customization for Real-World Problems Pick a template and make it yours! Whether you’re building a copilot, a chat-enabled app, or a serverless API, you’ll learn how to tweak the frontend, swap out backend logic, connect your own data sources, and shape the solution to solve a real-world problem you care about. 🌟 Bonus Resources Here are some additional resources to help you learn more about the Azure Developer CLI (azd) and the templates available: Kickstart JS/TS projects with azd Templates Kickstart your JavaScript projects with azd on YouTube ⏭️ What next? With production-ready templates and the Azure Developer CLI at your side, you’re ready to move from “just an idea” to a deployable, scalable solution without reinventing the wheel. Start with the right foundation, customize with confidence, and ship your next AI app like a pro! Once you have your project done, ensure you submit to GitHub - Azure-Samples/JS-AI-Build-a-thonHow to use Comments as Prompts in GitHub Copilot for Visual Studio
GitHub Copilot is a coding assistant powered by Artificial Intelligence (AI), which can run in various environments and help you be more efficient in your daily coding tasks. In this new short video, Bruno shows you how to use inline comments to generate code with GitHub Copilot.Week 4 . Microsoft Agents Hack Online Events and Readiness Resources
Readiness and skilling events for Week 4: Microsoft AI Agents Hack Register Now at https://aka.ms/agentshack 2025 is the year of AI agents! But what exactly is an agent, and how can you build one? Whether you're a seasoned developer or just starting out, this FREE three-week virtual hackathon is your chance to dive deep into AI agent development. 🔥 Learn from expert-led sessions streamed live on YouTube, covering top frameworks like Semantic Kernel, Autogen, the new Azure AI Agents SDK and the Microsoft 365 Agents SDK. Week 4: April 28th-30th Live and On Demand Topic Track Irresponsible AI Agents Java Securing AI agents on Azure Python The Art of AI Embodiment: Real-Time Interactive Experiences with Azure OpenAI GPT-4o and 3D Avatars Python Evaluating Agents Python 🌟 Join the Conversation on Azure AI Foundry Discussions! 🌟 Have ideas, questions, or insights about AI? Don't keep them to yourself! Share your thoughts, engage with experts, and connect with a community that’s shaping the future of artificial intelligence. 🧠✨ 👉 Click here to join the discussion!
