Level up your Python + AI skills with our complete series
We've just wrapped up our live series on Python + AI, a comprehensive nine-part journey diving deep into how to use generative AI models from Python. The series introduced multiple types of models, including LLMs, embedding models, and vision models. We dug into popular techniques like RAG, tool calling, and structured outputs. We assessed AI quality and safety using automated evaluations and red-teaming. Finally, we developed AI agents using popular Python agents frameworks and explored the new Model Context Protocol (MCP). To help you apply what you've learned, all of our code examples work with GitHub Models, a service that provides free models to every GitHub account holder for experimentation and education. Even if you missed the live series, you can still access all the material using the links below! If you're an instructor, feel free to use the slides and code examples in your own classes. If you're a Spanish speaker, check out the Spanish version of the series. Python + AI: Large Language Models šŗ Watch recording In this session, we explore Large Language Models (LLMs), the models that power ChatGPT and GitHub Copilot. We use Python to interact with LLMs using popular packages like the OpenAI SDK and LangChain. We experiment with prompt engineering and few-shot examples to improve outputs. We also demonstrate how to build a full-stack app powered by LLMs and explain the importance of concurrency and streaming for user-facing AI apps. Slides for this session Code repository with examples: python-openai-demos Python + AI: Vector embeddings šŗ Watch recording In our second session, we dive into a different type of model: the vector embedding model. A vector embedding is a way to encode text or images as an array of floating-point numbers. Vector embeddings enable similarity search across many types of content. In this session, we explore different vector embedding models, such as the OpenAI text-embedding-3 series, through both visualizations and Python code. We compare distance metrics, use quantization to reduce vector size, and experiment with multimodal embedding models. Slides for this session Code repository with examples: vector-embedding-demos Python + AI: Retrieval Augmented Generation šŗ Watch recording In our third session, we explore one of the most popular techniques used with LLMs: Retrieval Augmented Generation. RAG is an approach that provides context to the LLM, enabling it to deliver well-grounded answers for a particular domain. The RAG approach works with many types of data sources, including CSVs, webpages, documents, and databases. In this session, we walk through RAG flows in Python, starting with a simple flow and culminating in a full-stack RAG application based on Azure AI Search. Slides for this session Code repository with examples: python-openai-demos Python + AI: Vision models šŗ Watch recording Our fourth session is all about vision models! Vision models are LLMs that can accept both text and images, such as GPT-4o and GPT-4o mini. You can use these models for image captioning, data extraction, question answering, classification, and more! We use Python to send images to vision models, build a basic chat-with-images app, and create a multimodal search engine. Slides for this session Code repository with examples: openai-chat-vision-quickstart Python + AI: Structured outputs šŗ Watch recording In our fifth session, we discover how to get LLMs to output structured responses that adhere to a schema. In Python, all you need to do is define a Pydantic BaseModel to get validated output that perfectly meets your needs. We focus on the structured outputs mode available in OpenAI models, but you can use similar techniques with other model providers. Our examples demonstrate the many ways you can use structured responses, such as entity extraction, classification, and agentic workflows. Slides for this session Code repository with examples: python-openai-demos Python + AI: Quality and safety šŗ Watch recording This session covers a crucial topic: how to use AI safely and how to evaluate the quality of AI outputs. There are multiple mitigation layers when working with LLMs: the model itself, a safety system on top, the prompting and context, and the application user experience. We focus on Azure tools that make it easier to deploy safe AI systems into production. We demonstrate how to configure the Azure AI Content Safety system when working with Azure AI models and how to handle errors in Python code. Then we use the Azure AI Evaluation SDK to evaluate the safety and quality of output from your LLM. Slides for this session Code repository with examples: ai-quality-safety-demos Python + AI: Tool calling šŗ Watch recording In the final part of the series, we focus on the technologies needed to build AI agents, starting with the foundation: tool calling (also known as function calling). We define tool call specifications using both JSON schema and Python function definitions, then send these definitions to the LLM. We demonstrate how to properly handle tool call responses from LLMs, enable parallel tool calling, and iterate over multiple tool calls. Understanding tool calling is absolutely essential before diving into agents, so don't skip over this foundational session. Slides for this session Code repository with examples: python-openai-demos Python + AI: Agents šŗ Watch recording In the penultimate session, we build AI agents! We use Python AI agent frameworks such as the new agent-framework from Microsoft and the popular LangGraph framework. Our agents start simple and then increase in complexity, demonstrating different architectures such as multiple tools, supervisor patterns, graphs, and human-in-the-loop workflows. Slides for this session Code repository with examples: python-ai-agent-frameworks-demos Python + AI: Model Context Protocol šŗ Watch recording In the final session, we dive into the hottest technology of 2025: MCP (Model Context Protocol). This open protocol makes it easy to extend AI agents and chatbots with custom functionality, making them more powerful and flexible. We demonstrate how to use the Python FastMCP SDK to build an MCP server running locally and consume that server from chatbots like GitHub Copilot. Then we build our own MCP client to consume the server. Finally, we discover how easy it is to connect AI agent frameworks like LangGraph and Microsoft agent-framework to MCP servers. With great power comes great responsibility, so we briefly discuss the security risks that come with MCP, both as a user and as a developer. Slides for this session Code repository with examples: python-mcp-demoHow We Built an AI Operations Agent Using MCP Servers and Dynamic Tool Routing
Modern operations teams are turning to AI Agents to resolve shipping delays faster and more accurately. In this article, we build a ātwoābrainā AI Agent on Azureāone MCP server that reads policies from Blob Storage and another that updates order data in Azure SQLāto automate decisions like hazardousāmaterial handling and delivery prioritization. Youāll see how these coordinated capabilities transform a simple user query into a fully automated operational workflowFrom SOP Overload to Simple Answers: Building Q&A Agents With SharePoint Online + Agent Builder
Government teams run on Standard Operating Procedures, manuals, handbooks, review instructions, HR policies, and proposal workflows. Theyāre essentialāand everywhere. But during every Government Promptāaāthon we've run this year, one theme kept repeating: "Our policies are many and finding the right answer quickly is nearly impossible." Turning SOPs into Simple Q&A Agents with M365 Copilot's Agent Builder or SharePoint Agents is possibly one of the fastest wins for publicāsector teams.ESPC25 ā Dublin | Microsoft event guide
ESPC25 | Come curious. Leave inspired. European SharePoint Conference 2025 | Dublin, Ireland | December 1ā4, 2025 | SharePointEurope.com. Your guide to ESPC25 Dublin, Ireland, is one of the most dynamic and innovative tech cities in Europe, making it the perfect place for in-person, in-depth learning at the European SharePoint Conferenceānow simply branded as ESPC25āDecember 1ā4, 2025. āÆAs the celebrated Irish writer Edna OāBrien once said, āHospitality is the cornerstone of the Irish heart.ā This spirit of warmth and welcome is sure to be felt throughout your stay in Dublin during ESPC25. You will have the opportunity to learn from experts, network with peers, and discover new technologies that can help you achieve your goals. The event and city have something for everyone: inspiring keynotes, in-depth sessions and workshops, community, art and culture, and many festive moments. Explore powerful new AI capabilities for every role and function: Diving into Microsoft 365, Microsoft 365 Copilot, Power Platform, and more, youāll discover how Microsoft is transforming the way we work todayāand get a firsthand look at the future of work itself. Youāll find content delivered by the worldās best Microsoft 365 and Copilot Studio experts, including many Microsoft leaders and employees from the product teams. In this pre-event guide, we list all the Microsoft-led sessions below so you can prepare for what awaits you alongside community and MVP expert sessions. āÆ There will be plenty of opportunities for you to learn, share, and engage: Evening gatherings, the attendee party, andāÆour Innovation Hub with Microsoft product demo stations, a Promptathon, Vibe Coding, a place to network with your peers, a dedicated community space, the Inspire Stage, and 1:1 meeting spaces are all within the Expo Hall alongside all the wonderful event sponsors. The 101 on ESPC25 What:āÆESPC25 Where: The Convention Centre Dublin, Spencer Dock, North Wall Quay, Dublin 1 D01 T1W6, Ireland When:āÆDecember 1-4, 2025āÆ(keynotes, sessions, tutorials, workshops, and more) Presenters: 120+āÆsessionsāÆ(35+ Microsoft-led), 115+āÆspeakersāÆ(MVPs, RDs, Microsoft and community members); check out Microsoft-led keynotes, tutorials, and sessions Cost:āÆ From ā¬695 + VAT (one day) to ā¬1645 + VAT (four day) Enjoy an additionalāÆā¬200 discountāÆwith our exclusive community discount code:āÆESPC25COMM Primary social:āÆāÆJoin in and followāÆ@ESPC_Community (Twitter) andāÆESPC (LinkedIn); use hashtag #ESPC25 āÆAbout ESPC ESPC25 offers you affordable, world-class learning and networking at your fingertips. Join in 120+ sessions covering: āÆMicrosoft 365 Copilot, Copilot Studio, AI and agents, SharePoint,āÆMicrosoft Viva, Microsoft Teams, Microsoft 365 adoption, governance, admin, intranets, and more. Over the years, ESPC has visited some of the most incredible cities: from the charming streets of Copenhagen and the historic beauty of Berlin to the vibrant culture of Prague, and the dynamic atmosphere of Amsterdam. Even during the COVID-19 pandemic, ESPC kept the excitement alive with engaging online events! The European SharePoint Conference (ESPC), now known simply as ESPC, is one of the largest and most prominent events in Europe dedicated to Microsoft technologies, particularly Microsoft 365 and Azure. It began in 2011 in Berlin, Germany, as a platform for discussing SharePoint and related Microsoft technologies. Over the years, ESPC expanded its scope to include other tools in the Microsoft ecosystem, reflecting the industry's trend toward digital transformation and cloud adoption. ESPC has grown to become the largest independent European event for Microsoft technology users, serving as a crucial knowledge hub and networking space. It continues to play a vital role in educating the tech community on best practices for using SharePoint, Microsoft 365, and Azure to enhance productivity, collaboration, and security in the modern workplace.āÆ Review past ESPC events: 2025: Dublin, Ireland 2024: Stockholm, SwedenāÆ 2023: Amsterdam, NetherlandsāÆ 2022: Copenhagen, DenmarkāÆ 2021: Online (due to COVID-19)āÆ 2020: OnlineāÆ(due to COVID-19)āÆ 2019: Prague, Czech RepublicāÆ 2018: Copenhagen, DenmarkāÆ 2017: Dublin, IrelandāÆ 2016: Vienna, AustriaāÆ 2015: Stockholm, SwedenāÆ āÆ Review all Microsoft keynotes and sessions below: Start building your schedule today! Microsoft keynotes (All times represented in local Dublin time) OpeningāÆkeynote: The New Frontier of Work: Copilot, AI, and the Future of Microsoft 365 Jeff Teper, President of Collaborative Apps and PlatformsāÆ,āÆMicrosoft withāÆMiceile Barrett, Zach Rosenfield, Alex Weingard, andāÆMichel Bouman Tuesday, Dec. 2, 9:00ā10:00 AM Day one PM keynote: From One to Many: The future of AI is Collaborative Jaime Teevan, Chief Scientist and Technical Fellow, Microsoft Tuesday, Dec. 2, 2:00ā3:00 PM Day three keynote: Beyond the Prompt: Building an AI-Resilient Career with Power Skills Heather Cook, Principal Customer Experience PM, Microsoft Karuana Gatimu, Director, Customer Advocacy, Microsoft 365, AI and Agents Thursday, Dec. 4, 9:00ā10:00 AM Community keynotes Will AI Become Intelligent? Rafal Lukawiecki, Data Scientist at Tecflix, Ireland Wednesday, Dec. 3, 9:00ā10:00 AM Hackerās Perspective on New Risks: Revising the Cybersecurity Priorities for 2025 Paula Januszkiewicz, Founder and CEO, CQURE Inc. and CQURE Academy Tuesday, Dec. 2, 4:45ā5:45 PM Microsoft sessions (All times represented in local Dublin time) Breakout sessions: (60 min, in-person) Latest Innovations in Microsoft 365 Copilot Chat Speaker: Connie Welsh, Bryan Wofford Tuesday, December 2, 2025, 10:15 AM | Session Code T8 Whatās new in Copilot Studio Speaker: Antonio Rodriques Tuesday, December 2, 10:15 AM | Session Code T9 SharePoint as the Intelligence Backbone of Copilot Speaker: Zach Rosenfield Tuesday, December 2, 11:45 AM | Session Code T18 IT Excellence in the AI era: Managing Copilot and Agents for Impact and Control Speaker: Ben Summers Tuesday, December 2, 3:15 PM | Session Code T26 AI in Action: Microsoft's Approach to Internal Communications Speakers: Adam Barzel, Anna Pope, Darina Sexton Tuesday, December 2, 3:15 PM | Session Code T27 Woman in Tech & Allies Panel Speaker: Heather Cook, Danielle Moon and Karuana Gatimu Tuesday, December 2, 3:15 PM | Session Code T28 Microsoft Teams: What's New and What's Next Speaker: Alex Weingart Wednesday, December 3, 10:15 AM | Session Code W8 MCP (Model Context Protocol) in action in Microsoft 365 Copilot Speaker: Paolo Pialorsi Wednesday, December 3, 10:15 AM | Session Code W9 Microsoft Teams as Your AI-Driven Work Hub Speaker: Kartik Datwani Wednesday, December 3, 10:15 AM | Session Code W18 Building Intelligent Content Apps for the Copilot Era Speakers: Steve Pucelik, Shreyas Saravanan Wednesday, December 3, 2:00 PM | Session Code W27 OneDrive Updates: Smarter Storage, Seamless Sharing Speakers: Miceile Barrett, Lincoln DeMaris, and Jason Moore Wednesday, December 3, 2:00 PM | Session Code W28 AI Intranet: Creating and Managing High Quality Content on the Intranet of Tomorrow Speaker: Katelyn Helms Wednesday, December 3, 2:00 PM | Session Code W30 AI-Enhanced Planning: Innovations in Planner & Project Manager Agents Speaker: Howard Crow Wednesday, December 3, 3:15 PM | Session Code W38 AI Risk Management: From Oversharing to Strategic Oversight Speakers: Gabriel Tiberiu Damaschin, Nishan DeSilva Wednesday, December 3, 4:45 PM | Session Code W45 Streamlining Core Operations with AI Automation Speaker: Antonio Rodriques Wednesday, December 3, 4:45 PM | Session Code W44 Understanding Copilot Extensibility: a practical guide Speakers: Vesa Juvonen and Paolo Pialorsi Thursday, December 4 ,10:15 AM | Session Code TH8 Agents Among Us ā Governance for the Agentic Era Speaker: Sesha Mani Thursday, December 4 ,10:15 AM | Session Code TH 9 Creating AI Agents for People and Platforms Speaker: Nandakishor Basavanthappa Thursday, December 4, 11:45 AM | Session Code TH14 Windows AI: Powering Progress Across the Globe Speaker: Vikas Malekar Thursday, December 4 ,11:45 AM | Session Code TH15 Accelerating Copilot Adoption Across Your Organization Speakers: Karuana Gatimu, Bryan Wofford Thursday, December 4, 11:45 AM | Session Code TH16 True Stories of Copilot in Action Speakers: Connie Welsh, Danielle Moon Thursday, December 4, 2:00 PM | Session Code TH 28 Fireside Insights: Driving Value and Business Growth with AI Speaker: TBA Thursday December 4 15:15 | Session Code TH37 Lightning talks (20 minutes, in person) - Innovation Hub Supercharge Your Projects with Microsoft 365 Community Tools Speaker: Vesa Juvonen Tuesday, December 2, 10:15 AM Building Copilot with community-led engagement Speaker: Anna Pope Tuesday, December 2, 10:40 AM Managing your brand for career management Speaker: Karuana Gatimu (MCAG) Tuesday, December 2, 11:45 AM Empowering Community Builders: MGCI & Communitydays.org Speaker: Heather Cook Tuesday, December 2, 12:05 PM Your Day, Your Way: Personalized AI with OneDrive Speaker: Miceile Barrett Tuesday, December 2, 12:30 PM Security First Powering AI Transformation Speaker: Sesha Mani Tuesday, December 2, 4:45 PM Unlocking SharePoint Advanced Management for Copilot Success Speaker: Michael Holste Tuesday, December 2, 5:10 PM Fast-Tracking Value with the Copilot Success Kit & Scenario Library Speaker: Bryan Wofford Wednesday, December 3, 10:15 AM How to find learning Opportunities Everywhere Speaker: Adam Harmetz Wednesday, December 3, 10:40 AM Copilot readiness & resiliency with Microsoft 365 Backup & Archive Speaker: Kaustubh Chaudhary, Michael Holste Wednesday, December 3, 12:05 PM Unlock SharePoint Embedded integration with Power Platform Connectors Speaker: Steve Pucelik Thursday, December 4, 10:15 AM Microsoft Teams: Day-to-Day AI Speaker: Alex Weingart Thursday, December 4, 10:40 AM Driving Business Value with Copilot Analytics and ROI Measurement Speaker: Manas Kumar Biswas Thursday, December 4,11:45 AM Understanding Copilot APIs Speaker: Paolo Pialori Thursday, December 4, 12:05 PM Migration in Motion: Simplify, Secure, and Scale with Microsoft 365 Speaker: Manas Vishal Lodha Thursday, December 4, 12:30 PM Inspire Track (60 minutes, in person) - Inspire Stage Good Thing We Like Our Copilots CANCELLED: How Your Job Will Evolve in 2026 into AGENTBOSS! Speaker: Dona Sarkar Tuesday, December 2, 10:15 AM | Session Code: Inspire 2 How To Thrive in Your Tech Career: Managing Burnout and Boredom Speaker: Adam Harmetz Wednesday, December 3, 11:45 AM | Session Code: Inspire 6 Managing your brand for career management Speaker: Karuana Gatimu Thursday, December 4, 11:45 AM | Session Code: Inspire 10 Cultivating Trust and Leadership Excellence through Mentorship and Leadership Speaker: Heather Cook Thursday, December 4, 2:00 PM | Session Code: Inspire 11 āÆāÆ Innovation Hub and Lightning Talk Theater The Microsoft Innovation Hub at ESPC is a vibrant, multi-zone environment crafted to ignite new ideas, showcase cutting-edge prototypes, and shape the future of Microsoft 365 and Microsoft 365 Copilot. Here, creativity and technology intersect, providing a dedicated space for developers, architects, consultants, and strategists to explore the forefront of innovation. The Innovation Hub is designed to foster collaboration, highlight emerging technologies, and collect real-time insights from the wider Microsoft 365 community. You can meet with Microsoft Product Team members and Microsoft MVPs! Youāll find the Microsoft Innovation Hub in the ESPC Expo Tuesday through Thursday. Each day on the Innovation Stage in Zone 1 you will find Lightning Talks for live demonstrations and peer learning in a compact format. And don't miss the SharePoint 25th Birthday Celebration and the Innovation Awards, Tuesday evening at 5:45 PM. Within Zone 2, you will find Future Tech Demos daily during breaks and lunches. The Microsoft team and MVPs will be on hand to walk you through dynamic demos: Agents/Copilot Studio, Developer, Microsoft 365 Copilot and SharePoint and One Drive. Get connected in the Zone 3 Feedback Loop Lounge and leave your thoughts on our survey for a chance to win daily prizes. And finally, meet in the Zone 4 Ideation Lounge each afternoon for guided workshops including a Promptathon and Vibe Coding activities in an environment specifically designed to encourage creativity and collaborative thinking. This event guide will continue to update as we finalize more of our activations. Stay tuned! Shout out to event leads and community membersāÆSarah McNamara,āÆKevin Monahan, Ella Murphy, Bridgette Robertson, John, and Sarah G,āÆand the #ESPC25 team for putting together ESPC25, corralling all speakers and content, and for supporting and promoting the knowledge and expertise to promote the world-class Microsoft 365 tech community around the world. Cheers, Heather Last, a glimpse of the ESPC event experience: āÆBuilding an Agentic, AI-Powered Helpdesk with Agents Framework, Azure, and Microsoft 365
The article describes how to build an agentic, AI-powered helpdesk using Azure, Microsoft 365, and the Microsoft Agent Framework. The goal is to automate ticket handling, enrich requests with AI, and integrate seamlessly with M365 tools like Teams, Planner, and Power Automate.Microsoft 365 Champion community call | November 2025 | PM
Join our next community call on November 25, 2025, for a recap of what was announced at Microsoft Ignite 2025. Host: Tiffany Lee Moderator: Jessie Hwang š¢ NOTE: our community call format is a Teams webinar so you must register to be able to join the call when it starts: https://aka.ms/M365ChampionCallPM ā° šØļø Each call includes an open Q&A discussion section, where you'll have a chance to ask your questions about Microsoft 365. š Was this forwarded to you? Join the Microsoft 365 Champion program today! Champions combine technical acumen with people skills to drive meaningful change. Our community calls are open to everyone but only Champion program members have access to the presentation resources (access link in the initial welcome email and in the monthly newsletters). Join now: https://aka.ms/M365Champions.Microsoft 365 Champion community call | November 2025 | AM
Join our next community call on November 25, 2025, for a recap of what was announced at Microsoft Ignite 2025. Host: Tiffany Lee Moderator: Jessie Hwang š¢ NOTE: our community call format is a Teams webinar so you must register to be able to join the call when it starts: https://aka.ms/M365ChampionCallAM ā° As a reminder, the recording will be published on the Driving Adoption community on the Tech Community in about 48 hours after this call. However, only Champion program members have access to the presentation (see the link in your welcome email or the latest newsletter). If you're not a member yet, join here: https://aka.ms/BecomeAChampion. šØļø Each call includes an open Q&A discussion section, where you'll have a chance to ask your questions about Microsoft 365. š Was this forwarded to you? Join the Microsoft 365 Champion program today! Champions combine technical acumen with people skills to drive meaningful change. Our community calls are open to everyone but only Champion program members have access to the presentation resources (access link in the initial welcome email and in the monthly newsletters). Join now: https://aka.ms/M365Champions.Intelligent Conversations: Building Memory-Driven Bots with Azure AI and Semantic Kernel
Discover how memory-driven AI reshapes the way we interact, learn, and collaborate. š¬āØ On October 20th at 8pm CET, weāll explore how Semantic Kernel, Azure AI Search, and Azure OpenAI models enable bots that remember context, adapt to users, and deliver truly intelligent conversations. š¤š Join Marko Atanasov and Bojan Ivanovski as they dive into the architecture behind context-aware assistants and the future of personalized learning powered by Azure AI. šš” ā Save your seat now: https://lnkd.in/dnZSj6PbModel Mondays S2E12: Models & Observability
1. Weekly Highlights This weekās top news in the Azure AI ecosystem included: GPT Real Time (GA): Azure AI Foundry now offers GPT Real Time (GA)ālifelike voices, improved instruction following, audio fidelity, and function calling, with support for image context and lower pricing. Read the announcement and check out the model card for more details. Azure AI Translator API (Public Preview): Choose between fast Neural Machine Translation (NMT) or nuanced LLM-powered translations, with real-time flexibility for multilingual workflows. Read the announcement then check out the Azure AI Translator documentation for more details. Azure AI Foundry Agents Learning Plan: Build agents with autonomous goal pursuit, memory, collaboration, and deep fine-tuning (SFT, RFT, DPO) - on Azure AI Foundry. Read the announcement what Agentic AI involves - then follow this comprehensive learning plan with step-by-step guidance. CalcLM Agent Grid (Azure AI Foundry Labs): Project CalcLM: Agent Grid is a prototype and open-source experiment that illustrates how agents might live in a grid-like surface (like Excel). It's formula-first and lightweight - defining agentic workflows like calculations. Try the prototype and visit Foundry Labs to learn more. Agent Factory Blog: Observability in Agentic AI: Agentic AI tools and workflows are gaining rapid adoption in the enterprise. But delivering safe, reliable and performant agents requires foundation support for Observability. Read the 6-part Agent Factory series and check out the Top 5 agent observability best practices for reliable AI blog post for more details. 2. Spotlight On: Observability in Azure AI Foundry This weekās spotlight featured a deep dive and demo by Han Che (Senior PM, Core AI/ Microsoft ), showing observability end-to-end for agent workflows. Why Observability? Ensures AI quality, performance, and safety throughout the development lifecycle. Enables monitoring, root cause analysis, optimization, and governance for agents and models. Key Features & Demos: Development Lifecycle: Leaderboard: Pick the best model for your agent with real-time evaluation. Playground: Chat and prototype agents, view instant quality and safety metrics. Evaluators: Assess quality, risk, safety, intent resolution, tool accuracy, code vulnerability, and custom metrics. Governance: Integrate with partners like Cradle AI and SideDot for policy mapping and evidence archiving. Red Teaming Agent: Automatically test for vulnerabilities and unsafe behavior. CI/CD Integration: Automate evaluation in GitHub Actions and Azure DevOps pipelines. Azure DevOps GitHub Actions Monitoring Dashboard: Resource usage, application analytics, input/output tokens, request latency, cost breakdown, and evaluation scores. Azure Cost Management SDKs & Local Evaluation: Run evaluations locally or in the cloud with the Azure AI Evaluation SDK. Demo Highlights: Chat with a travel planning agent, view run metrics and tool usage. Drill into run details, debugging, and real-time safety/quality scores. Configure and run large-scale agent evaluations in CI/CD pipelines. Compare agents, review statistical analysis, and monitor in production dashboards 3. Customer Story: Saifr Saifr is a RegTech company that uses artificial intelligence to streamline compliance for marketing, communications, and creative teams in regulated industries. Incubated at Fidelity Labs (Fidelity Investmentsā innovation arm), Saifr helps enterprises create, review, and approve content that meets regulatory standardsāfaster and with less manual effort. What Saifr Offers AI-Powered Compliance: Saifrās platform leverages proprietary AI models trained on decades of regulatory expertise to automatically detect potential compliance risks in text, images, audio, and video. Automated Guardrails: The solution flags risky or non-compliant language, suggests compliant alternatives, and provides explanationsāall in real time. Workflow Integration: Saifr seamlessly integrates with enterprise content creation and approval workflows, including cloud platforms and agentic AI systems like Azure AI Foundry. Multimodal Support: Goes beyond text to check images, videos, and audio for compliance risks, supporting modern marketing and communications teams. 4. Key Takeaways Observability is Essential: Azure AI Foundry offers complete monitoring, evaluation, tracing, and governance for agentic AIāmaking production safe, reliable, and compliant. Built-In Evaluation and Red Teaming: Use leaderboards, evaluators, and red teaming agents to assess and continuously improve model safety and quality. CI/CD and Dashboard Integration: Automate evaluations in GitHub Actions or Azure DevOps, then monitor and optimize agents in production with detailed dashboards. Compliance Made Easy: Saferās agents and models help financial services and regulated industries proactively meet compliance standards for content and communications. Sharda's Tips: How I Wrote This Blog I focus on organizing highlights, summarizing customer stories, and linking to official Microsoft docs and real working resources. For this recap, I explored the Azure AI Foundry Observability docs, tested CI/CD pipeline integration, and watched the customer demo to share best practices for regulated industries. Hereās my Copilot prompt for this episode: "Generate a technical blog post for Model Mondays S2E12 based on the transcript and episode details. Focus on observability, agent dashboards, CI/CD, compliance, and customer stories. Add correct, working Microsoft links!" Coming Up Next Week Next week: Open Source Models! Join us for the final episode with Hugging Face VP of Product, live demos, and open model workflows. Register For The Livestream ā Sep 15, 2025 About Model Mondays Model Mondays is your weekly Azure AI learning series: 5-Minute Highlights: Latest AI news and product updates 15-Minute Spotlight: Demos and deep dives with product teams 30-Minute AMA Fridays: Ask anything in Discord or the forum Start building: Watch Past Replays Register For AMA Recap Past AMAs Join The Community Donāt build alone! The Azure AI Developer Community is here for real-time chats, events, and support: Join the Discord Explore the Forum About Me I'm Sharda, a Gold Microsoft Learn Student Ambassador focused on cloud and AI. Find me on GitHub, Dev.to, Tech Community, and LinkedIn. In this blog series, I share takeaways from each weekās Model Mondays livestream.Azure AI Foundry Agents - Azure AI and APIM integration
Azure Innovators Hub & Global AI Athens Community presents: Azure AI Foundry Agents All you need to know about building agents with Azure AI and APIM integration! š ļø Live Event Highlights Join us for an immersive, hands-on experience where weāll explore: Creating and managing powerful Agents using Azure AI Foundry Handling threads, messages, and orchestrating Agent behaviors Implementing robust Agentic solutions with real-world scenarios Leveraging ready-to-use Templates to accelerate development Integrating APIM for seamless and secure API connectivity āØ Whether you're a developer, AI enthusiast, or solution architect, you'll leave with practical skills and an end-to-end Multi-Agent Solution built during the session. šÆ Perfect for tech professionals, innovators, newcomers and community members looking to deepen their Azure AI expertise and connect with fellow thinkers in Athens. Join Live Event
