Posted by: kurtsh | December 21, 2024

TRAINING: Microsoft Americas Azure Events (Jan-Feb)

Learn first-hand from Microsoft subject matter experts how you can leverage some of the most popular Azure services allowing you to deliver applications and services faster than ever before.

Microsoft Innovation Workshops presents 1/2 day to full day training events on a variety of Azure topics, that include hands-on-labs. Events are delivered through Microsoft Teams and it is recommended that users install the Teams app for the richest interactive experience. All participants must register individually and will be initially added to our waitlist. You’ll receive an email confirmation once your registration has been approved.

  • Lunch & Learn – Integrate Azure OpenAI Into Your App
    In this workshop, you’ll explore how to harness the power of the Azure OpenAI Service to create advanced AI applications, such as chatbots and language models, that excel at understanding and processing natural human language. Azure OpenAI provides access to powerful pre-trained AI models and a comprehensive suite of APIs and tools that enable you to deploy, customize, and fine-tune these models to suit the specific needs of your application.
  • Lunch & Learn – Code Suggestions with GitHub Copilot in VS Code
    In this workshop, you’ll explore the capabilities of GitHub Copilot, a powerful AI-based coding assistant that provides real-time code suggestions and completions. While GitHub Copilot supports a wide range of programming languages and frameworks, it excels particularly in Python, JavaScript, TypeScript, Ruby, Go, C#, and C++.
  • Developing AI Applications with Azure AI Studio
    In this hands-on lab, participants will explore the capabilities of Azure AI Studio. This lab is designed for AI developers, data scientists, AI enthusiasts, cloud engineers, and AI engineers who want to enhance their skills in model evaluation and fine-tuning using Azure AI Studio’s Prompt Flow. Participants will gain hands-on experience in developing custom AI models, evaluating their performance, and refining them for improved results. The lab also covers the integration of chat flows and essential tools while ensuring responsible AI practices through content safety measures.
  • Innovate With AI
    In this Hands-on Workshop, you will be working with Azure AI tools, like Azure cognitive services, Azure ML, Metric Advisor, Azure Bot. At starting, you will be doing a document processing with Summarization with Azure Form Recognizer and Cognitive Service for Language. You will be working on Knowledge mining with Cognitive Seach and will be creating a Conversational AI with Bot Service using Power Virtual Agents. You will be exploring on Metrics Advisor with the help of Azure cognitive services.
  • Mitigating Vulnerabilities with GitHub Advanced Security and Azure DevOps
    In this hands-on lab, you will explore and learn about enabling, configuring, and managing security features across various tasks, such as secret scanning, dependency scanning, code scanning and explore the DevOps security findings and inventory provided by Microsoft Defender for Cloud.
  • Lunch & Learn – Get started with Azure OpenAI Service
    In this workshop, you will explore the Azure OpenAI Service, which integrates the generative AI models developed by OpenAI into the Azure platform. This service empowers you to create advanced AI solutions that leverage the robust security, scalability, and seamless integration capabilities offered by the Azure cloud platform. Whether you’re building chatbots, generating content, or developing other AI-driven applications, Azure OpenAI Service provides the tools and infrastructure to bring your ideas to life, ensuring they are both secure and scalable within the Azure ecosystem.
  • GitHub Copilot Innovation Workshop
    In this hands-on lab, you’ll gain a comprehensive understanding of the distinctions between GitHub Copilot for Individuals, GitHub Copilot for Business, You’ll also explore various use cases for GitHub Copilot for Business, including real-life examples showcasing how customers have leveraged it to boost their productivity and also how to leverage the GitHub Copilot in Jetbrains IntelliJ IDE.
  • Get Started With OpenAI And Build Natural Language Solution
    In this hands-on lab, you’ll learn how to get started with Azure OpenAI. You’ll provision the service as an Azure resource and use Azure OpenAI Studio to deploy and explore OpenAI models. Azure OpenAI Service brings the generative AI models developed by OpenAI to the Azure platform, enabling you to develop powerful AI solutions that benefit from the security, scalability, and integration of services provided by the Azure cloud platform.
  • Use Azure Open AI Like A Pro To Build Powerful AI Applications
    In this hands-on lab, you’ll work with Azure OpenAI tools to build AI-powered applications. You’ll gain practical experience using Azure OpenAI service and API to develop applications of various types, workloads, and languages. Starting with integrating custom datasets, you’ll learn to use the Azure OpenAI API effectively. Later, you’ll explore creating OpenAI-powered applications, including integrating with PowerApps for enhanced functionality.
  • NET App Modernization
    In this Hands-on Workshop, you will be migrating your application using Azure Migrate, assessing your website’s compatibility with Azure using the App Service Migration Assistant tool. Transition smoothly into the realm of Azure SQL Database through the insightful guidance of the Data Migration Assistant (DMA). Culminate your learning by exploring serverless computing; create an Azure Function and incorporate Azure Storage Queue to process orders asynchronously. By the end of this session, you’ll be adept at leading any application towards a cloud-optimized transformation.
  • Azure API Management
    Discover the power of Azure API Management in this hands-on lab. Learn to publish APIs, add products, import using OpenAPI, configure CORS, implement caching, apply transformation policies, and manage versions and revisions. Elevate your API management skills and enhance developer engagement with Azure.
  • Build Prompt Engineering With Azure OpenAI Service
    In this workshop, you’ll learn how to deploy a model in Azure OpenAI and use it in your own application to summarize text. With the Azure OpenAI Service, developers can create chatbots, language models, and other applications that excel at understanding natural human language. The Azure OpenAI provides access to pre-trained AI models, as well as a suite of APIs and tools for customizing and fine-tuning these models to meet the specific requirements of your application. Also, you’ll learn how different prompts for similar content help shape the AI model’s response to better satisfy your requirements.
  • Build Intelligent Apps With Microsoft’s Copilot Stack & Azure OpenAI
    In this hands-on lab, you will gain a strong understanding of Generative AI basics, Azure Open AI, Retrieval Augmented Generation (RAG) patterns, Semantic Kernel, and how to utilize these concepts to create your own Copilot for your business needs. You will also explore use cases that showcase Copilot product experiences. Using Microsoft’s Copilot stack and practical use cases this workshop will guide you in envisioning and creating intelligent systems that integrate foundation models resulting in improved productivity and hyper-personalized product experiences.
  • Azure Red Hat OpenShift Workshop
    Azure Red Hat OpenShift is a fully managed Red Hat OpenShift service in Azure that is jointly engineered and supported by Microsoft and Red Hat. In this hands-on lab, you’ll go through a set of tasks that will help you understand some of the concepts of deploying and securing container based applications on top of Azure Red Hat OpenShift.
  • Use Your Own Data And Explore Content Filter With Azure OpenAI Services
    In this hands-on lab, you’ll learn how to deploy a model in Azure OpenAI Studio and verify the chat behavior with and without adding your own data. The Azure OpenAI Service enables you to use your own data with the intelligence of the underlying LLM. You can limit the model to only use your data for pertinent topics or blend it with results from the pre-trained model.
  • DevOps With GitHub
    Intro to Azure DevOps, What is CI/CD automation, Setting up GitHub Action, Project management with DevOps
  • Azure Virtual Machine And Compute
    In this hands on lab we will create and deploy a Windows Server 2019 Datacenter virtual machine. We will also configure a backup of the virtual machine that will be user-accessible for recovery. You will also be able to load a web application in the VM you have just provisioned in Azure.
  • Implement CI/CD with GitHub Actions
    In this workshop, you’ll learn how to elevate your software development process. This will work as a user-focused guide on implementing Continuous Integration and Continuous Deployment (CI/CD) using GitHub Actions. Learn to automate your build, test, and deployment processes using GitHub Actions’ intuitive features. Streamline your development cycle and deliver code with confidence. Start your journey to efficient CI/CD practices today and transform your development workflow with GitHub Actions.
  • Automate Document Processing By Using Azure AI & OpenAI
    In this hands-on lab, you will learn how to implement automated document processing using a combination of Azure AI services, including Azure OpenAI, Azure Document Intelligence, Azure Cognitive Search, Azure Cosmos DB, and Azure App Service. Automated document processing is a crucial component in modern business operations, helping organizations extract valuable information from documents efficiently and accurately. By the end of this lab, you will have a working system that can process and search through various types of documents.
  • Build Prompt Engineering With Azure OpenAI Service
    In this workshop, you’ll learn how to deploy a model in Azure OpenAI and use it in your own application to summarize text. With the Azure OpenAI Service, developers can create chatbots, language models, and other applications that excel at understanding natural human language. The Azure OpenAI provides access to pre-trained AI models, as well as a suite of APIs and tools for customizing and fine-tuning these models to meet the specific requirements of your application. Also, you’ll learn how different prompts for similar content help shape the AI model’s response to better satisfy your requirements.

See the above sessions and more at:

Posted in Uncategorized | Tags: , , , ,

«
»

Categories