| Course Name |
Hours |
List Price |
Content |
| AB-730T00: Transform business workflows with generative AI |
7.00 |
$579.00 |
|
Description: In this course, learners will discover how to apply generative AI to streamline daily tasks, enhance decision-making, and drive meaningful business outcomes. Learners will understand how to use Microsoft 365 Copilot and its functionalities to improve their productivity. The course focuses on real-world use casesno coding requiredmaking it ideal for those who want to confidently integrate AI into their work.
# of Days:
Setting:
|
| 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:
|
| AB-900T00: Introduction to Microsoft 365 and AI administration |
7.00 |
$579.00 |
|
Description: This course provides a comprehensive introduction to Microsoft 365, Copilot, and AI-powered agents. It introduces learners to the foundational concepts, core services, and administrative controls of Microsoft 365. It then builds upon this foundation by exploring how Copilot and agents can utilize AI to automate tasks, enhance collaboration, and personalize user experiences across the Microsoft 365 suite.
# 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-3019: Build AI Apps with Azure Database for PostgreSQL |
7.00 |
$579.00 |
|
Description: This learning path explores how the Azure AI and Azure Machine Learning Services integrations provided by the Azure AI extension for Azure Database for PostgreSQL - Flexible Server can enable you to build AI-powered apps.
# 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:
|
| AI-3025: Work Smarter with AI |
7.00 |
$579.00 |
|
Description: To understand the importance of using AI in your daily work, it is important to learn the history and fundamentals of AI as well as exploring some of the tools (chatbots, copilots, analytics, generative AI) available. Get more done and unleash your creativity by exploring how to use Microsoft Copilot, ChatGPT, and Gemini and know the difference between them. You will also get a brief introduction to Azure AI services as it pertains to IT professionals. You will learn how to use these tools to research, find information, and generate effective content. You learn practical applications for AI in the workplace.
# of Days:
Setting:
|
| AI-3026: Develop AI agents on Azure |
7.00 |
$579.00 |
|
Description: Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This course will help you understand the AI agents, including when to use them and how to build them, using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. By the end of this course, you will have the skills needed to develop AI agents on Azure.
# of Days:
Setting:
|
| AI-901T00: Introduction to AI in Azure |
7.00 |
$579.00 |
|
Description: This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It teaches a mix of AI concepts and technology skills that are considered foundational to a successful career implementing AI solutions on Microsoft Azure.
# of Days:
Setting:
|
| AZ-2005: Develop AI agents using Azure OpenAI and the Semantic Kernel SDK |
7.00 |
$579.00 |
|
Description: Learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.
# 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-604T00: Implement a data science and machine learning solution for AI with Microsoft Fabric |
7.00 |
$579.00 |
|
Description: Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.
# of Days:
Setting:
|
| DP-800T00: Develop AI-enabled database solutions |
28.00 |
$2,399.00 |
|
Description: This course provides students with the knowledge and skills to design and develop AI enabled database solutions across Microsoft SQL platforms, including SQL Server, Azure SQL, and SQL databases in Microsoft Fabric. It is intended for professionals who build modern data solutions that integrate structured and semi structured data and incorporate AI features into scalable enterprise applications. It will also be valuable for individuals who develop applications that rely on SQL based data services enhanced with vector search, embeddings, and other AI driven capabilities.
# 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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