Courses

Learn to develop Large Language Model (LLM)-powered AI agents using Microsoft's Azure AI Agent Service in this comprehensive workshop. Build a conversational agent capable of analyzing sales data, generating visualizations, and delivering actionable insights through a hands-on, code-first approach using the Azure AI Foundry SDK for Python. Discover how to integrate core Azure services including Azure OpenAI, Azure AI Search, and Azure Storage while exploring key concepts such as function calling, document grounding, and leveraging code interpreters to generate diagrams. Master the techniques for connecting agents to external data sources like SQL databases (SQLite), enabling seamless access to legacy relational systems. Gain practical experience in building and deploying intelligent, code-first AI agents with Azure AI Agent Service that are ready to power real-world applications. The session is led by Cedric Vidal, Principal AI Advocate at Microsoft, who brings extensive experience from his background as an Engineering Manager in AI data labeling for the self-driving industry at Argo AI and as CTO of Fintech AI SAAS startup Quicksign.

AI Foundry ,Agent Service,Function Calling,Code Interpreter,Bing Search ,AI Search,OpenAPI ,Logic Apps,Semantic Kernel What you'll learn: Introduction to AI AgentsA Case Study of Netflix Recommendation SystemModule on Azure AI FoundryA Refresher on Assistants APIAzure AI Agent Service BasicsHow to setup Agents via FoundryAzure AI Projects client library for PythonUnderstand Azure CLI & Entra-ID App Registration MethodAction Tool - Function CallingAction Tool - Code InterpreterKnowledge Tool - Grounding with Bing SearchKnowledge Tool - File SearchKnowledge Tool - Azure AI Search AI Agents - Beginner to Pro using Azure AI Agent ServiceUnlock the power of AI agents with this comprehensive course designed to take you from a beginner to a pro using Azure AI Agent Service. In today’s fast-paced world, businesses and developers risk falling behind if they don’t harness AI automation. Fear of missing out drives the need to stay ahead, and this course ensures you're equipped with the knowledge and skills to build and deploy AI agents efficiently. Whether you are new to AI or looking to deepen your understanding, this course provides hands-on experience with Azure’s AI ecosystem, giving you the edge you need to stay competitive.Don’t let fear, uncertainty, and doubt hold you back from leveraging AI agents in real-world applications. With step-by-step guidance, demos, and real-world use cases, you'll learn how AI agents work, how to integrate them with Azure AI Foundry, and how to utilize various Action and Knowledge tools. By the end of this course, you will have mastered function calling, code interpreter, Bing search, and Azure AI Search, empowering you to build intelligent, scalable, and automated solutions.Course ContentsSection 1: Intro to AI AgentsLecture 1:Title Intro(Preview enabled)Lecture 2:Introduction to AI AgentsLecture 3:What is Agentic AI?Lecture 4:Demo: AI Agents(Preview enabled)Lecture 5:What are AI Agents?Lecture 6:How an AI Agent Works?Lecture 7:Use Cases of AI Agents in the Real WorldSection 2: Azure AI Foundry Basics (For Absolute Beginners)Lecture 8:Title Intro - Azure AI FoundryLecture 9:Introduction to Azure AI FoundryLecture 10:What is Azure AI Foundry?Lecture 11:Architecture of Azure AI FoundryLecture 12:Projects vs HubsLecture 13:How It Differs from Azure OpenAI ServiceLecture 14:Navigating the Azure AI Foundry PortalLecture 15:Key Difference - Azure OpenAI With & Without ProjectLecture 16:Demo: Create a Hub & ProjectLecture 17:Model BenchmarksLecture 18:Access Playgrounds via FoundryLecture 19:Management CentreSection 3: Assistants API - A RefresherLecture 20:AdviceLecture 21:Title Intro - Assistants APILecture 22:Introduction to Assistants APILecture 23:What is Assistants API?Lecture 24:Assistants API Components / Key TermsLecture 25:Assistants API ArchitectureLecture 26:What is Function Calling?Lecture 27-35:Multiple Demo Sessions on Function Calling with Python CodeSection 4: Azure AI Agent ServiceLecture 36:Title - Azure AI Agent ServiceLecture 37:Introduction to Azure AI Agent ServiceLecture 38:What is Azure AI Agent Service?Lecture 39:Architecture of Azure AI Agent ServiceLecture 40:Assistants API Vs Azure AI Agent ServiceLecture 41-47:Model, Region Support, Pricing & Hands-on DemosSection 5: Understanding Azure SDK for PythonLecture 48:Title - Azure SDK for PythonLecture 49:Introduction to Azure SDK for PythonLecture 50-55:Setup, Sample Code, and Agent Creation with SDKSection 6: Azure AI Agent Service Action Tools - Function CallingLecture 56:Title - Action Tools - Function CallingLecture 57-63:Workflow & Implementation of Function Calling with Azure AI AgentSection 7: Azure AI Agent Service Action Tools - Code InterpreterLecture 64:Title - Code InterpreterLecture 65-73:Understanding and Implementing Code Interpreter for AI AgentsSection 8: Azure AI Agent Service Knowledge Tools - Bing SearchLecture 74:Title - Knowledge Tools - Bing SearchLecture 75-81:Hands-on Implementation of Bing Search in AI AgentsSection 9: Azure AI Agent Knowledge Tools - File SearchLecture 82:Title - Knowledge Tools - File SearchLecture 83-91:File Search Setup, Implementation, and Query ProcessingSection 10: Azure AI Agent Knowledge Tools - Azure AI SearchLecture 92:Title - Knowledge Tools - Azure AI SearchLecture 93-107:Hands-on Implementation of Azure AI Search with Agents & Python Code

Join a 45-minute conference talk from Microsoft Ignite 2024 featuring speakers Mads Bolaris, Marco Casalaina, Brian King, and Lambert Ninteman as they delve into Azure AI Foundry's agent service capabilities. Discover how Thermo Fisher successfully implemented a multi-agent system for querying across diverse data sources, followed by an in-depth exploration of the new Agent Service. Learn practical implementation strategies and best practices for deploying AI agents in business environments through real-world examples. Access additional resources through provided links to accelerate your understanding of generative AI and agent runtime functionalities.

Explore a 37-minute lecture on modeling passenger behavior in the London Underground, presented by the Alan Turing Institute. Delve into two main research areas: an end-to-end model for inferring changes in passenger behavior during unplanned disruptions, incorporating user-level data and heterogeneous choice inferred from smart card outputs, and an abstract view of causal models for complex systems with shock records and observational data. Learn about network tomography problems, transportation networks challenges, and experimental results using TfL datasets for travel time prediction and station load estimation. Gain insights into gradient backpropagation, intractability, and approximation techniques used in these models.

Explore a comprehensive conference talk on remote exploitation of unaltered passenger vehicles. Delve into the reality of car hacking as experts demonstrate a step-by-step remote attack on a factory vehicle. Learn about pivoting through various hardware components to send CAN bus messages to critical electronic control units. Discover the process of chaining multiple elements to affect physical systems, and understand the true capabilities and limitations of remote car attacks. Gain insights into topics such as remote attack paradigms, Wi-Fi vulnerabilities, password guessing, D-Bus command line injection, GPS tracking, radio volume manipulation, long-distance communications, firmware updates, security unlocks, and checksum codes. Conclude with a discussion on the implications and potential solutions for automotive cybersecurity.

Work with Azure AI Foundry, Azure OpenAI, RAG, Build multi-agentic systems with Semantic Kernel SDK, Azure AI Agents What you'll learn: Build Agents with Azure AI Agent ServiceLearn About Azure OpenAI and GenAILearn About Azure AI FoundryWork with Azure AI Foundry SDK Are you ready to harness the power of Azure AI Agent Service to build intelligent, scalable, and efficient AI-driven solutions? This comprehensive Udemy course is designed to take you from the fundamentals to advanced implementation, enabling you to develop AI agents that automate tasks, enhance decision-making, and integrate seamlessly into business workflows.What You Will LearnIntroduction to Azure AI Agent Service – Understand the core capabilities and architecture of Azure’s AI Agent Service.Building AI-Powered Agents – Learn how to design, develop, and deploy AI agents for various use cases.Integration with Azure AI Services – Leverage services like Azure OpenAI, Cognitive Services, and Machine Learning for enhanced AI capabilities.Agent Orchestration & Automation – Implement AI-driven workflows using Azure AI Studio and orchestration tools.Conversational AI & NLP – Develop AI agents with natural language understanding and conversational capabilities.Security, Compliance & Best Practices – Ensure your AI agents meet security standards and ethical AI principles.Real-World Use Cases – Work on hands-on projects for customer support, business automation, and intelligent decision-making.Why Take This Course?Azure AI Agent Service is revolutionizing AI application development by providing a powerful, scalable platform for creating intelligent agents. Whether you're a developer, data scientist, or IT professional, this course will give you the expertise to leverage Azure AI Agent Service effectively.By the end of this course, you will have the knowledge and hands-on experience to deploy AI agents that automate workflows, enhance user interactions, and integrate AI into enterprise solutions.Who This Course is ForDevelopers looking to integrate AI-powered agents into applications.AI & ML engineers who want to leverage Azure AI for automation.IT professionals and solution architects exploring AI-driven automation.Business professionals and entrepreneurs interested in AI applications.PrerequisitesBasic understanding of cloud computing and Azure services.Some experience with Python programming languages is helpful.Enthusiasm to explore AI-driven automation!Join this course today and start building intelligent AI agents with Azure AI Agent Service!

Explore a comprehensive conference talk that delves deep into the security implications of Service Agents in Google Cloud Platform. Learn how these machine identities, despite being positioned as inconsequential, often possess administrative-level permissions that could potentially be exploited. Discover transitive access techniques and understand how Service Agents' permissions can be manipulated to access services and data without direct resource permissions. Follow along as Principal Security Researcher Kat Traxler demonstrates a real-world case of Service Agent abuse leading to data exfiltration, bypassing explicit Storage permissions. Gain valuable insights into the vulnerabilities within Google Cloud's machine identity ecosystem and understand the security implications that challenge common assumptions about Service Agent safety. The presentation includes practical demonstrations and detailed explanations of how service functionality can be leveraged by end users to direct Service Agent actions for unauthorized data access.

Explore the culinary experience aboard the legendary luxury liner Lusitania in this 38-minute video from Tasting History with Max Miller. Delve into the opulent dining practices of early 20th-century ocean travel, uncovering the exquisite menus and lavish meals served to passengers. Learn about the historical significance of the Lusitania, its tragic fate, and how it reflected the pinnacle of Edwardian-era luxury. Discover the intricate details of food preparation, service, and etiquette observed in the ship's grand dining rooms. Gain insights into the social dynamics and class distinctions evident in the varying dining experiences across different passenger classes. Examine period recipes and cooking techniques, with the opportunity to recreate a dish from the Lusitania's menu.

Explore the emerging agentic economy built on Model Context Protocol (MCP) foundations in this 18-minute conference talk. Discover how MCP and server directories enable agents to autonomously find new tools and other agents, establishing the groundwork for future business-to-agent (B2A) and agent-to-agent (A2A) commerce models. Learn about the current gap in agent autonomy regarding service subscriptions and payments, and see how MCP server nesting capabilities can provide solutions for agents to discover and pay for external MCP-enabled services independently. Examine monetization strategies for AI agents and understand the evolving B2A/A2A business landscape. The presentation includes a practical demonstration of Apify's MCP integration, showing real-world implementation of these concepts. Gain insights into the technical challenges of agent autonomy, practical solutions for enabling agent-driven commerce, and the future outlook for autonomous agent ecosystems in the digital economy.

Explore the fundamentals of AI agents and multi-agent systems in this lecture from Carnegie Mellon University's Advanced NLP course. Learn essential agent concepts and definitions, examine various agent architectures and their operating environments, and discover efficiency optimization techniques including context management and caching strategies. Understand the critical safety challenges that arise in agent systems and explore practical solutions to address them. Delve into multi-agent systems and communication protocols that enable collaborative AI behavior. Master the theoretical foundations and practical considerations necessary for building robust, efficient, and safe AI agents capable of operating in complex environments and interacting with other agents.

This video explores the newly released Agents API from Mistral AI, examining how the company is developing an agentic ecosystem around their language models. Learn about the current landscape of agent frameworks before diving into Mistral's approach through their official blog announcement. Watch demonstrations of practical examples showing the API in action, and discover resources available in the Mistral AI Cookbook on GitHub. The tutorial also covers official documentation to help you implement these agent capabilities in your own projects. For developers interested in building LLM agents, this 15-minute guide provides a concise overview of Mistral's agent system with links to additional resources including a Colab notebook for hands-on experimentation.

Explore the diagnosis and repair process for a Nissan Rogue's passenger window issue in this automotive repair video. Follow along as the mechanic investigates why the window goes up but won't come down, regardless of which switch is used. Learn troubleshooting techniques and potential solutions for electric window problems in used auction vehicles. Gain insights into common issues found in pre-owned cars and the importance of thorough inspections before purchase.

Explore optimization models for public transport in this comprehensive lecture presented by Anita Schöbel from Fraunhofer Institute for Industrial Mathematics. Delve into various planning stages of public transport optimization, including network design, line planning, timetabling, vehicle and crew scheduling, and delay management. Examine the dual objectives of minimizing costs and maximizing passenger convenience, with a focus on the crucial role of passenger route choices. Learn about the complexities involved in determining passenger routes within given line plans or timetables, especially when considering capacity constraints. Begin with a basic modeling course applied to public transport planning, developing models and resulting integer programs for stop location, line planning, timetabling, and delay management. Understand how passengers are incorporated into these processes. Then, explore different equity goals for each planning stage and discover how these objectives can be reflected in integer programming. Gain valuable insights into the mathematical foundations for creating more equitable transportation systems through this in-depth presentation from IPAM's workshop on Mathematical Foundations for Equity in Transportation Systems.

Service etiquette demonstrates effective interpersonal skills, which can help service professionals make a positive impression and deliver a high standard of service. For financial services, carefully executed etiquette strategies can help financial service professionals to connect with their customers, develop positive relationships, and make a good first impression. More importantly, when dealing with consumer finances, it creates customer trust and confidence. The course endeavours to understand the dimensions of service etiquette and leverage it to increase conversions, improve customer loyalty, trust, and respect.

Explore how Python can revolutionize aeronautical flight planning in this 30-minute conference talk from EuroPython 2025. Discover the complex world of flight dispatching, where professionals must analyze countless variables including weather conditions, aircraft weight, fuel requirements, passenger loads, and cargo before each takeoff. Learn about the critical challenges flight dispatchers face, particularly last-minute passenger count changes that can dramatically impact flight planning and potentially leave passengers stranded if miscalculated. Examine current manual processes used in the aviation industry and understand how data analysis technologies can significantly improve efficiency and accuracy in flight operations. See a practical Python-based solution proposal that processes historical flight data from recent months to predict passenger numbers based on specific flight parameters like date, time, and destination. Gain insights into daily flight operations and understand how modern data science techniques can transform this fascinating and growing sector of the aviation industry.

Explore the fascinating race to develop supersonic passenger aircraft in this 35-minute conference talk by Nickolas Means at Ruby Central. Discover how Chuck Yeager's breaking of the sound barrier sparked a global competition among the US, Russia, UK, and France to create planes capable of transporting paying passengers faster than sound. Learn why the Anglo-French Concorde emerged as the only design to fly passengers in significant numbers. Gain insights into the role of compromise and constraints in engineering success, and reflect on the nature of success itself. Delve into this captivating story of aviation history, technological innovation, and international competition, presented by a passionate storyteller and engineering expert.

Get skills to advance your career and tools to help you handle difficult cases.See how artificial intelligence is changing customer service, from chatbots to analytics.Learn effective communication techniques and best practices for engaging with customers.

AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.By the end of this module, you'll be able to: Describe core concepts related to AI agents Describe options for agent development Create and test an agent in the Azure AI Foundry portal Learn how to start using Azure AI Foundry Agent Service.By the end of this module, you'll be able to: Describe the purpose of AI agents Explain the key features of Azure AI Foundry Agent Service Build an agent using the Foundry Agent Service Integrate an agent in the Foundry Agent Service into your own application Learn how to build, test, and deploy AI agents using the Azure AI Foundry extension in Visual Studio Code.By the end of this module, you'll be able to: Configure and deploy AI agents using the agent designer Add tools and capabilities to extend your agents' functionality Test agents using the integrated playground Generate sample code to integrate agents into applications Learn how to build an agent with custom tools using the Azure AI Foundry Agent Service.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 Foundry Agent Service. Break down complex tasks with intelligent collaboration. Learn how to design multi-agent solutions using connected agents.After completing this module, you'll be able to: Describe how connected agents enable modular, collaborative workflows. Design a multi-agent solution by defining main agent tools and connected agent roles. Build and run a connected agent solution Enable dynamic tool access for your Azure AI agents. Learn how to connect MCP-hosted tools and integrate them seamlessly into agent workflows.After completing this module, you're able to: Explain the roles of the MCP server and client in tool discovery and invocation. Wrap MCP tools as asynchronous functions and register them with Azure AI agents. Build an Azure AI agent that dynamically accesses and calls MCP tools during runtime. Learn how to start building agents with Microsoft Agent FrameworkBy the end of this module, you'll be able to: Use Microsoft Agent Framework to connect to an Azure AI Foundry project Create Azure AI Foundry Agent Service agents using the Microsoft Agent Framework SDK Integrate plugin functions with your AI agent Learn how to design multi-agent solutions with the Microsoft Agent Framework SDKBy the end of this module, you'll be able to: Build AI agents using the Microsoft Agent Framework SDK Understand how and when to use different orchestration patterns Develop multi-agent solutions Learn how to implement the A2A protocol to enable agent discovery, direct communication, and coordinated task execution across remote agents.After completing this module, you're able to: Understand the A2A protocol and its role in multi-agent orchestration. Design discoverable agents for modular, collaborative problem-solving. Implement A2A strategies to discover and invoke remote agents.

This module examines the components available for managing and administrating agents.This module explains how to: Create and configure a new agent. Set permissions and security. Use topics and entities. Import and export agents. Authenticate users. This module explores how to set up a Microsoft Copilot Studio agent to use voice.This module explains how to: Explore the required setup for enabling a Microsoft Copilot Studio agent for voice capabilities. Learn why you'd enable an agent for voice. Install the necessary extensions. Set up the handoff with your voice provider. This module describes the setup that’s required to use Azure AI Services for Language to enhance the capabilities of a Microsoft Copilot Studio.In this module, you'll: Explore why using more services is important for your agent functionality. Learn about Azure AI Services for Language and its capabilities. Review how to create an agent and prepare it for use with Azure AI Services for Language. Learn how to call your Azure AI Services for Language service from within an agent with a Power Automate flow.

Explore the culinary experience aboard the ill-fated Hindenburg zeppelin in this 29-minute video from Tasting History with Max Miller. Delve into the luxurious dining options available to passengers on this iconic airship, learning about the menus, food preparation, and service aboard the floating palace. Discover the challenges of cooking at high altitudes and the innovative solutions employed by the Hindenburg's kitchen staff. Gain insights into the social aspects of dining during air travel in the 1930s and how it compared to other modes of transportation at the time. Examine the historical context surrounding the Hindenburg's final voyage and the impact of its tragic demise on the future of airship travel. Along the way, uncover fascinating details about the Hindenburg's design, amenities, and the overall passenger experience that made it a symbol of technological progress and luxury before its untimely end.