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.

Microsoft Copilot Training

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.


Other Microsoft Azure Data and AI Training
Develop Generative AI Solutions with Azure OpenAI Service
Course ID: AI-050T00
Delivery: On-Site or Instructor-led Virtual

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.

Designing and Implementing a Microsoft Azure AI Solution
Course ID: AI-102T00
Delivery: On-Site or Instructor-led Virtual

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.

Create Document Intelligence Solutions with Azure AI Document Intelligence
Course ID: AI-3002
Delivery: On-Site or Instructor-led Virtual

In this class, you'll see how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. You'll also learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline.
Develop Natural Language Processing Solutions with Azure AI Services
Course ID: AI-3003
Delivery: On-Site or Instructor-led Virtual

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.
Build an Azure AI Vision Solution with Azure AI Services
Course ID: AI-3004
Delivery: On-Site or Instructor-led Virtual

Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.
Migrate Open Source Data Workloads to Azure
Course ID: DP070T00
Delivery: On-Site or Instructor-led Virtual

This course teaches attendees the fundamentals of Azure SQL Database and what is required to migrate MySQL and PostgreSQL workloads to Azure SQL Database.

Designing and Implementing a Data Science Solution on Azure
Course ID: DP-100T01
Delivery: On-Site or Instructor-led Virtual

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.

Data Engineering on Microsoft Azure
Course ID: DP-203T00
Delivery: On-Site or Instructor-led Virtual

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.

Administering Microsoft Azure SQL Solutions
Course ID: DP-300T00
Delivery: On-Site or Instructor-led Virtual

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.

Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
Course ID: DP-420T00
Delivery: On-Site or Instructor-led Virtual

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.

Implementing a Lakehouse with Microsoft Fabric
Course ID: DP-601T00
Delivery: On-Site or Instructor-led Virtual

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.

Implement a Data Warehouse with Microsoft Fabric
Course ID: DP-602T00
Delivery: On-Site or Instructor-led Virtual

Explore the data warehousing process and learn how to load, monitor, and query a warehouse in Microsoft Fabric.
Implement Real-Time Analytics with Microsoft Fabric
Course ID: DP-603T00
Delivery: On-Site or Instructor-led Virtual

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.

Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric
Course ID: DP-604T00
Delivery: On-Site or Instructor-led Virtual

Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.
Migrate SQL Server workloads to Azure SQL Database
Course ID: DP-3001
Delivery: On-Site or Instructor-led Virtual

You'll learn how to assess SQL Server components and compatibility for migration using the Azure SQL Migration Extension and Database Migration Assistant. This training guides you through the process of provisioning and configuring Azure SQL Database resources. You gain hands-on experience in choosing the best migration option to meet business requirements for downtime, handling migration state, and monitoring database migration. Additionally, you'll also learn to perform post-migration tasks like disaster recovery and monitoring for Azure SQL Database. These skills are essential for ensuring a smooth, efficient transition to Azure SQL Database, and maintaining its operation post-migration.
Train and Deploy a Machine Learning Model with Azure Machine Learning
Course ID: DP-3007
Delivery: On-Site or Instructor-led Virtual

To train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an online endpoint for real-time predictions. Throughout this learning path, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.
Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
Course ID: DP-500T00
Delivery: On-Site or Instructor-led Virtual

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.

Microsoft Azure Data Fundamentals
Course ID: DP-900T00
Delivery: On-Site or Instructor-led Virtual

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.

Implementing a Data Analytics Solution with Azure Databricks
Course ID: DP-3011
Delivery: On-Site or Instructor-led Virtual

Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data analytics workloads in a data lakehouse. This learning path helps prepare you for Exam DP-203: Data Engineering on Microsoft Azure.
Implementing a Data Analytics Solution with Azure Synapse Analytics
Course ID: DP-3012
Delivery: On-Site or Instructor-led Virtual

This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.
Implementing a Machine Learning Solution with Azure Databricks
Course ID: DP-3014
Delivery: On-Site or Instructor-led Virtual

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.
Getting Started with Cosmos DB NoSQL Development
Course ID: DP-3015
Delivery: On-Site or Instructor-led Virtual

This course teaches developers to utilize Azure Cosmos DB for NoSQL API and SDK. Students will learn query execution, resource configuration, SDK operations, and design strategies for non-relational data modeling and data partitioning.
Microsoft Azure AI Fundamentals
Course ID: AI-900T00
Delivery: On-Site or Instructor-led Virtual

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 course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. 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.