Microsoft Azure Data and AI Training
Our official Microsoft Azure courses teach you practical skills for AI, machine learning, data warehousing, data engineering, SQL, and more on the Azure platform. Through hands-on labs and expert-led instruction, you gain the confidence to pursue industry-recognized Microsoft Azure AI certifications. We also offer Copilot for Microsoft 365 training. Learn to integrate this powerful AI assistant seamlessly with your favorite Microsoft applications.
Copilot for Microsoft 365 is an innovative AI assistant seamlessly integrated within your favorite Microsoft 365 applications. Developed by Microsoft, Copilot allows users to work smarter, not harder, by offering real-time AI-powered suggestions, data analysis assistance, and even automated task completion.
This official Copilot for Microsoft 365 course teaches you how to use Copilot effectively in your favorite Microsoft 365 apps, implement best practices for using Copilot, craft effective prompts, and more. This Copilot training is hands-on to reinforce each real-world use case.
This official Microsoft Copilot course teaches attendees how to craft effective and contextual prompts that create, simplify, transform, and compile content across Microsoft 365 applications. Students learn the importance of providing a clear goal, context, source, and expectation in their prompt for the best results.
This Copilot for Microsoft 365 for Administrators course examines the Microsoft Copilot for Microsoft 365 design and then focuses on Copilot's security and compliance features. Administrators learn how to configure their Microsoft 365 tenant to protect their company's organizational data before implementing Copilot for Microsoft 365.
Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.
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.
This course teaches attendees the fundamentals of Azure SQL Database and what is required to migrate MySQL and PostgreSQL workloads to Azure SQL Database.
Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.
In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.
This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.
This course teaches developers how to create application using the SQL API and SDK for Azure Cosmos DB. Students will learn how to write efficient queries, create indexing policies, manage and provisioned resources, and perform common operations with the SDK.
This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric.
This official Microsoft course, Implement Real-Time Analytics with Microsoft Fabric, teaches attendees how to import live data streams from various sources, leverage the power of Eventstream for real-time processing, and unlock insights through KQL queries on data. Students also learn how to create dynamic dashboards that visualize real-time data for effective decision making.
This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data. In this course, students will use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.
In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization.
