| Course Name |
Hours |
List Price |
Content |
| AB-731T00: Drive AI transformation in your organization |
7.00 |
$579.00 |
|
Description: In this course, learners will explore how to lead AI transformation across their organization. Theyll learn practical strategies to identify high-impact AI opportunities, align investments with business goals, and champion responsible AI practices. The course emphasizes real-world applications and strategic decision-makingno technical expertise requiredmaking it ideal for senior leaders who want to confidently drive AI adoption and innovation.
# of Days:
Setting:
|
| AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
35.00 |
$2,399.00 |
|
Description: AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C or Python as the programming language.
Audience profile
Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. 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 conversational AI solutions on Azure.
# of Days:
Setting:
|
| AI-103T00: Develop AI apps and agents on Azure |
28.00 |
$2,399.00 |
|
Description: This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in your agentic applications. This course also covers multimodal capabilities and understanding of complex content.
# of Days:
Setting:
|
| AI-200T00: Develop AI cloud solutions on Azure |
35.00 |
$2,899.00 |
|
Description: This course teaches developers how to create, monitor, and troubleshoot AI solutions on Microsoft Azure. Students will learn how to implement Azure compute and containerization patterns to host applications, build serverless APIs with Azure Functions, and integrate services using eventdriven and messagebased architectures such as Azure Service Bus and Event Grid. The course also covers working with Azure data services that support AI workloads, including designing and querying solutions with Cosmos DB for NoSQL, Azure Database for PostgreSQL with pgvector, and Azure Managed Redis for caching, streaming, and vector search. By the end of the course, developers will be able to connect services, orchestrate AI workflows, and build secure, scalable, and observable AIdriven applications on Azure.
# of Days:
Setting:
|
| AI-3003: Build a Natural Language Processing Solution with Azure AI Services |
7.00 |
$579.00 |
|
Description: 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.
# of Days:
Setting:
|
| AI-300T00: Operationalize machine learning and generative AI solutions |
28.00 |
$2,399.00 |
|
Description: This course prepares learners to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure. It covers building secure and scalable AI infrastructure, managing the full lifecycle of traditional machine learning models with Azure Machine Learning, and deploying, evaluating, monitoring, and optimizing generative AI applications and agents using Microsoft Foundry. Learners will gain hands-on knowledge of automation, continuous integration and delivery, infrastructure as code, and observability by using tools such as GitHub Actions, Azure CLI, and Bicep. The course emphasizes collaboration with data science and DevOps teams to deliver reliable, production-ready AI systems aligned with modern MLOps and GenAIOps best practices.
# of Days:
Setting:
|
| AI-3016: Develop Custom Copilots with Azure AI Studio |
7.00 |
$579.00 |
|
Description: Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.
# of Days:
Setting:
|
| AI-3022: Implement AI Skills in Azure AI Search |
7.00 |
$579.00 |
|
Description: Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data, and enable applications to search and analyze them.
# of Days:
Setting:
|
| DP-100T01 - Designing and Implementing a Data Science Solution on Azure |
28.00 |
$2,399.00 |
|
Description: Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azures premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
# of Days:
Setting:
|
| DP-300T00: Implement scalable database solutions using Azure SQL |
28.00 |
$2,399.00 |
|
Description: 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.
Audience profile
The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications.
# of Days:
Setting:
|
| DP-3011: Implementing a Data Analytics Solution with Azure Databricks |
7.00 |
$579.00 |
|
Description: 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.
# of Days:
Setting:
|
| DP-3014: Implementing a Machine Learning Solution with Azure Databricks |
7.00 |
$579.00 |
|
Description: 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.
# of Days:
Setting:
|
| DP-3020: Develop data-driven applications with Azure SQL Database |
7.00 |
$579.00 |
|
Description: This course prepares you for the task of developing data-driven applications by using Microsoft Azure SQL Database.
Youll learn how to create and configure an Azure SQL Database, build and deploy database projects using GitHub Actions and Azure Pipelines, and automate the publishing process. Additionally, youll explore how to use Data API builder for Azure SQL Database and develop a data API with Azure Web Apps and Static Web App.
Furthermore, youll gain skills in importing data via an external REST endpoint, exporting data using an Azure Function, and securing an Azure SQL Database. These essential skills will empower you to effectively develop and manage applications using Azure SQL Database.
# of Days:
Setting:
|
| DP-3021: Configure and migrate to Azure Database for PostgreSQL |
7.00 |
$579.00 |
|
Description: Azure Database for PostgreSQL is a Platform as a Service database service in the Microsoft cloud. It bases itself on the PostgreSQL open-source relational database and includes built-in high availability, automatic backup and restore, as well as comprehensive security features. The pay-as-you-go pricing model provides predictable performance and near-instant scaling. In this learning path, you learn the main features of PostgreSQL and how they work in Azure Database for PostgreSQL. You learn about the different Azure Database for PostgreSQL implementation options, and how to configure a server for your needs.
# of Days:
Setting:
|
| DP-3027: Implement a data engineering solution with Azure Databricks |
7.00 |
$579.00 |
|
Description: Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.
# of Days:
Setting:
|
| DP-3028: Implement Generative AI engineering with Azure Databricks |
7.00 |
$579.00 |
|
Description: Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platforms capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Sparks scalability and Azure Databricks collaborative environment, you can design complex AI systems.
# of Days:
Setting:
|
| DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB |
28.00 |
$2,399.00 |
|
Description: 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.
Audience Profile
Software engineers tasked with authoring cloud-native solutions that leverage Azure Cosmos DB SQL API and its various SDKs. They are familiar with C, Python, Java, or JavaScript. They also have experience writing code that interacts with a SQL or NoSQL database platform.
# of Days:
Setting:
|
| DP-750T00: Implement data engineering solutions using Azure Databricks |
28.00 |
$2,399.00 |
|
Description: Master end-to-end data engineering with Azure Databricks and Unity Catalog. This course moves from foundational setup to production deployment, covering environment configuration and enterprise-grade governance. Learn to build robust ingestion pipelines, implement security with Unity Catalog, and deploy optimized workloads. By the end, you will have the practical skills to implement, secure, and maintain scalable lakehouse solutions that meet rigorous enterprise requirements.
# of Days:
Setting:
|
| DP-900T00: Microsoft Azure Data Fundamentals |
7.00 |
$579.00 |
|
Description: In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
# of Days:
Setting:
|
| AI-900T00: Microsoft Azure AI Fundamentals |
7.00 |
$579.00 |
|
Description: 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 (https://azure.com/learn). 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.
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