Events

Events

230 Events

All times in - Coordinated Universal Time

Filters

Event Type

Date

Topic

Format

Content Level

Language

Region

  • Production-ready RAG with Azure AI SearchProduction-ready RAG with Azure AI Search

    Production-ready RAG with Azure AI SearchProduction-ready RAG with Azure AI Search

    Learn how to build a production-ready Retrieval Augmented Generation (RAG) application to chat over your domain's data with Azure AI Search. Discover the benefits of hybrid search with semantic ranker to find both vector and keyword-based results amongst billions of documents. Explore different approaches to data ingestion, to extract, split, vectorize, and store your data in Azure AI Search. Consider multiple ways to evaluate your RAG app answers, to ensure high-quality responses. Finally, see how you can productionize your RAG app with efficient vector storage, private network deployment, and user authentication.

  • Series - Microsoft AI Genius SeriesMicrosoft AI Genius Series

    Series - Microsoft AI Genius SeriesMicrosoft AI Genius Series

    Next event in the series

    AI tech and tools​ Don’t miss this exclusive opportunity to advance your AI skills and power up your productivity. The Microsoft AI Genius Series provides six on-demand workshops to help you get up and running with cutting-edge AI tech and tools. ​ Presented by top Microsoft experts, you’ll go on a step-by-step learning journey on how to develop and deploy next generation AI apps and services. ​ Who should attend​ Data, AI, security and machine learning devs who want to upskill in cutting-edge AI and lead innovation in your organization.​ What to expect​ A six-part progressive course with new AI topics released every week. Complete all six topics or just those you want to focus on.​ Each kicks off with a briefing from Microsoft AI rock stars Priyanka Vergadia and Vinayak Hegde.​ Follow the project for hands-on practice.​ Receive a badge for your LinkedIn for each topic you complete.​ Gain access to Freemium GitHub tech and tools and a developer community.​ Our comprehensive series provides a step-by-step progression of AI topics that take you from whoa to AI pro. We strongly recommend completing all of them.

  • AI102 - Building Custom Text Classification Models with Azure AI LanguageAI102 - Building Custom Text Classification Models with Azure AI Language

    AI102 - Building Custom Text Classification Models with Azure AI LanguageAI102 - Building Custom Text Classification Models with Azure AI Language

    This session explores building custom text classification models using Azure AI Language. Attendees will learn how to create projects, tag data, train models, and deploy them for use in applications. We'll cover different types of classification projects and provide practical exercises to build hands-on experience. Read More - https://aka.ms/Textclassification How do you think a Start-up will be benefited from this session? Start-ups can leverage custom text classification to automate various tasks, including: Customer support: Automatically categorize incoming support tickets based on topic or urgency. Market research: Analyze customer feedback, social media posts, and online reviews to understand market trends and sentiment. Content moderation: Filter inappropriate or offensive content on their platforms. Lead qualification: Classify leads based on their likelihood of conversion. This session empowers start-ups to build cost-effective solutions for these tasks, improving efficiency and providing valuable insights. The session will focus on: Understanding the prebuilt capabilities of the Azure AI Language service: An overview of the language understanding features and their applications in modern conversational models. Understanding resources for building a conversational language understanding model: Setting up and configuring Azure resources to support conversational AI. Defining intents, utterances, and entities: How to specify the purpose of a conversation, the words that users might say, and the entities they may refer to. Using patterns to differentiate similar utterances: Techniques for managing variations in user input to ensure accurate understanding. Using pre-built entity components: Leveraging existing entities like dates, times, numbers, and places for enhanced language understanding. Training, testing, publishing, and reviewing a conversational language understanding model: Step-by-step process for setting up and refining a conversational model, including evaluation and deployment. Hands-on Exercise: Participants will practice building and testing a conversational model in Azure, focusing on creating intents, entities, and utilizing patterns to handle different utterances. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will gain the following: Skills to create and manage custom text classification projects in Azure AI Language. Knowledge of different classification types and how to choose the right approach. Practical experience in tagging data and training effective classification models. Understanding of model evaluation metrics and how to improve model performance. Ability to deploy and integrate classification models into their applications. Ability to automate text processing tasks for increased efficiency and valuable insights. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning,.NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

  • Series - #AI102#AI102

    Series - #AI102#AI102

    Next event in the series

    The AI-102 series offers an in-depth exploration of designing and implementing AI solutions on Microsoft Azure. Throughout this comprehensive series, you will delve into crucial aspects of AI development, gaining the knowledge and skills required to excel in creating intelligent solutions. Across six informative sessions, we will cover key topics to provide you with a robust understanding of Microsoft Azure's AI capabilities, guiding you through the process of designing, implementing, and optimizing AI solutions. Topics covered include AI solution architecture, data storage and processing, natural language processing, computer vision, speech services, and more. By the end of this series, you will be well-equipped to tackle the AI-102 exam and apply your expertise in real-world scenarios, contributing to the success of your organization's AI initiatives. Join us on this educational journey to unlock the full potential of Microsoft Azure in the realm of artificial intelligence.

  • DP-700: Get started with data engineering on Microsoft Fabric (PST/GMT)DP-700: Get started with data engineering on Microsoft Fabric (PST/GMT)

    DP-700: Get started with data engineering on Microsoft Fabric (PST/GMT)DP-700: Get started with data engineering on Microsoft Fabric (PST/GMT)

    Welcome to the first episode of Get Certified: DP700 - Become a Fabric Data Engineer. Dive into the fundamentals of Microsoft Fabric and explore its core components, including OneLake, Lakehouses, and the Delta format. This session sets the stage for the series, covering how Fabric’s unified architecture streamlines data engineering workflows and how it compares to Synapse.

  • Series - Get Certified: DP700 - Become a Fabric Data Engineer (PST/GMT)Get Certified: DP700 - Become a Fabric Data Engineer (PST/GMT)

    Series - Get Certified: DP700 - Become a Fabric Data Engineer (PST/GMT)Get Certified: DP700 - Become a Fabric Data Engineer (PST/GMT)

    Next event in the series

    Set yourself up for success with this in-depth DP-700 exam preparation series. Designed for Data Engineers ready to demonstrate their expertise in Microsoft Fabric, this six-session series covers all three key exam sections: ingesting and transforming data, implementing and managing analytics solutions, and monitoring and optimizing analytics solutions. Each session dives into the essential concepts, tools, and techniques you'll need to pass the exam, starting with an introduction to Microsoft Fabric and the OneLake architecture. Whether you're new to Fabric or building on your existing skills, this series gives you the knowledge and confidence to take the DP-700 exam—and your data engineering career—to the next level. Live sessions will be available in two time zones. If you are looking for a later session, visit this series Para sesiones en español, visita esta serie Para sessões em português, visite esta série

  • Getting started with Generative AI in AzureGetting started with Generative AI in Azure

    Getting started with Generative AI in AzureGetting started with Generative AI in Azure

    About this session: Discover the basics of generative AI, including core models, functionalities. Learn how to utilize these models within the Azure ecosystem, leveraging various services to build your own generative AI applications. Learn more about Generative AI in Azure: https://aka.ms/Feb4GenerativeAIAzureRepo1

  • Series - Generative AI Level Up TuesdaysGenerative AI Level Up Tuesdays

    Series - Generative AI Level Up TuesdaysGenerative AI Level Up Tuesdays

    Next event in the series

    As we continue the worldwide Microsoft AI Tour, travelling to over 60 cities around the world, we are bringing selected content and highlights to you at the Reactor. In this dynamic series, you'll dive into the world of Generative AI solutions. From Azure AI Foundry and Azure AI Agents to exploring responsible AI tooling and beyond, there's something for every developer. Don't miss out on this opportunity to join us and enhance your AI skills! Learn more and develop your Generative AI skills with our Microsoft Learn Challenge during the series: https://aka.ms/GenerativeAILevelUp-LearnChallenge1

  • Desarrollo de Prompts Efectivos con Microsoft 365 CopilotDesarrollo de Prompts Efectivos con Microsoft 365 Copilot

    Desarrollo de Prompts Efectivos con Microsoft 365 CopilotDesarrollo de Prompts Efectivos con Microsoft 365 Copilot

    Descubra formas de crear mensajes eficaces y contextuales para Microsoft 365 Copilot que crean, simplifican, transforman y compilan contenido en aplicaciones de Microsoft 365. Obtenga información sobre la importancia de proporcionar un objetivo, un contexto, un origen y una expectativa claros en su solicitud para obtener los mejores resultados. En este curso se tratan escenarios y ejemplos reales con Copilot en aplicaciones de Microsoft 365 como Word, Excel, PowerPoint, Teams, Outlook, OneNote y Chat. Objetivos de aprendizaje Aspectos básicos de Microsoft 365 Copilot Versatilidad de Microsoft 365 Copilot en diversas aplicaciones Creación de solicitudes eficaces y contextuales para Copilot Curso MS-4005-A: Creación de solicitudes efectivas para Microsoft 365 Copilot