Duurtijd van de opleiding: 2,62u. Data warehouses solve fundamentally different problems than a traditional transactional database, and SQL Server Data Warehouses provide a different model for storing valuable data. In this course, database expert Adam Wilbert guides you through the process of developing data warehouses in SQL Server 2022 to provide a robust, trustworthy platform to serve all your business intelligence reporting and analysis workloads. Explore data warehouse foundations, then get started creating a data warehouse in SQL Server. Learn about columnstore indexes, as well as how to automate the tasks associated with integrating multiple data sources together into a warehouse. Find out how to implement an Azure Synapse Analytics Dedicated SQL Pool and enforce data quality using Data Quality Services. Discover ways to use Master Data Services, plus learn how to consume data from your warehouse with business intelligence applications. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. Deze cursus is enkel beschikbaar in het Frans. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. Aanvraag indienen

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.

Duurtijd van de opleiding: 2,2u. FinOps sits at the intersection of finance and cloud operations, where cross-functional teamwork is essential for success. When it comes to cloud computing, FinOps managers are responsible for overseeing cloud costs and building teams across engineering, product, finance, and more. In this course, instructor David Linthicum gives an overview of the basics of cloud FinOps, collaborating with ever-changing systems, and how to motivate data-driven financial decision-making to optimize business value. Discover the key objectives and underpinnings of FinOps so you can get ready to start crafting your own plan. Learn how to develop an effective plan for cloud deployment, while ensuring that you include everyone who needs to be involved in the process. Get tips from David on cost optimization, cost analysis and forecasting, important automation considerations, compliance, and governance. Along the way, review core cloud FinOps concepts in action by exploring practical case studies drawn from cloud computing and enterprise management. Topics include: Explain why businesses adopt FinOps. Identify reasons for cloud cost overages rather than savings. Review the various types of clouds and their popularity in business use Describe the goal of using cloud spending optimization technology. Differentiate between various FinOps technology tools. Define organizational roles in FinOps. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. Deze cursus is enkel beschikbaar in het Frans. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. Aanvraag indienen

Duurtijd van de opleiding: 6,15u. In this course, master Databricks to become an ace data engineer. Learn how to expertly debug, process, and analyze huge amounts of data and build scalable solutions as instructor Deepak Goyal guides you through a deep dive on how the Databricks platform works. Explore PySpark transformation and Spark SQL in Databricks, along with how to read and write a DataFrame in Databricks. Plus, learn about Delta Lake, join optimizations, notebook scheduling, cluster management, workflows, and more. Topics include: Learn how Databricks works end to end. Understand the Delta Lake in Databricks. Perform transformations in PySpark. Use Spark SQL in Databricks. Write DataFrames in PySpark. Understand cluster management in Databricks. Explore the Unity catalog in Databricks. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. Deze cursus is enkel beschikbaar in het Frans. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. Aanvraag indienen

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

Learn how to accelerate app development by using GitHub Copilot and GitHub Copilot Chat in a Visual Studio Code environment. Prerequisites An active subscription for GitHub Copilot is required for either a personal GitHub account or a GitHub account managed by an organization or enterprise. One or more years of code develop experience is recommended. Some experience developing C# applications in Visual Studio Code with the C# Dev Kit extension is recommended.

Explore the fundamentals of GitHub Copilot and its potential to enhance productivity and foster innovation for both individual developers and businesses. Discover how to implement it within your organization and unleash its power for your own projects. In this learning path, you'll: Gain a comprehensive understanding of the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise. Understand how to utilize GitHub Copilot across various environments responsibly and securely. Learn advanced functionalities of GitHub Copilot and how to best use them. Prerequisites Basic understanding of GitHub fundamentals

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications. Before starting this learning path, you should already have: Familiarity with Azure and the Azure portal. Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.

In this learning path, discover how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. Learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline. You'll learn how to: Design a solution that analyzes your business forms by using Azure AI Document Intelligence. Create a solution that analyzes common documents by using Document Intelligence. Create a solution that analyses different custom form types by using Document Intelligence. Include an Azure AI Document Intelligence service as a custom skill in an Azure AI Search pipeline.

This module provides engineers with the skills to begin building an Azure OpenAI Service solution. Learning objectives By the end of this module, you'll be able to: Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models. Use the Azure AI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds. Generate completions to prompts and begin to manage model parameters. Prerequisites Familiarity with Azure and the Azure portal. An understanding of generative AI.

Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models with prompt flow to provide value to your users. Prerequisites Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.

Almost everything you do in the workplace is a project, from the smallest task to the largest endeavor. All of this work can benefit from some basic project management skills. Once mastered, you will be able to transfer this valuable skillset to any project, of any size, in any industry. In this course, management trainer Chris Croft outlines the twelve steps to managing projects without creating a lot of extra overhead, and shows how to use traditional project management tools—such as Gantt charts and network diagrams—to help you succeed. Learn how to plan a project, manage resources, monitor progress, and deliver your project on time and on budget. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. Aanvraag indienen