AI-ML

This course teaches learners how to configure and operate an intelligent contact center using Microsoft contact center capabilities and integrated AI features. Learners focus on deploying and configuring contact center environments, including embedded and standalone modes, connecting data sources and third-party Contact Center as a Service (CCaaS) solutions, and enabling Copilot and agent capabilities that enhance the customer and agent experience. The course emphasizes understanding how channels, users, and security settings work together to support scalable and efficient customer engagement.

Learn how to administer and secure AI agents in Microsoft 365 with Microsoft Agent 365. This course combines focused instruction with hands-on labs covering agent discovery, identity governance, data protection, and threat monitoring across the Microsoft 365 admin experience.

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 event-driven and message-based 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 AI-driven applications on Azure.

The ISACA® Advanced in AI Security Management™ (AAIR™) certification validates risk professionals’ expertise and experience in managing AI-specific risks while harnessing AI’s transformative potential for strategic advantage. This credential builds upon established risk management best practices, focusing on the evolving AI landscape to effectively assess and manage risk profiles within organizations. By fostering cross-functional collaboration, it equips professionals to communicate AI risk comprehensively and ensure ethical and regulatory compliance.

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This beginner friendly course introduces students to the fundamentals of Artificial Intelligence and the practical use of Claude in the workplace. Participants will learn what AI is, how Claude works at a high level, how to navigate the platform, and how to use its key features effectively.
The course also explores the fundamentals of prompting, including the core elements of an effective prompt and the most common prompt types used to improve results. Through guided exercises and realistic workplace scenarios, students will practice writing and refining prompts that can help them communicate more clearly, work more efficiently, and improve the quality of everyday tasks.
By the end of the session, participants will have a strong foundation for using Claude with greater confidence, accuracy, and purpose.

This beginner friendly course introduces students to the fundamentals of Artificial Intelligence and the practical use of Grok in the workplace. Participants will learn what AI is, how Grok works at a high level, how to navigate the platform, and how to use its key features effectively.
The course also explores the fundamentals of prompting, including the core elements of an effective prompt and the most common prompt types used to improve results. Through guided exercises and realistic workplace scenarios, students will practice writing and refining prompts that can help them communicate more clearly, work more efficiently, and improve the quality of everyday tasks.
By the end of the session, participants will have a strong foundation for using Grok with greater confidence, accuracy, and purpose.

This beginner friendly course introduces students to the fundamentals of Artificial Intelligence and the practical use of Perplexity in the workplace. Participants will learn what AI is, how Perplexity works at a high level, how to navigate the platform, and how to use its key features effectively.
The course also explores the fundamentals of prompting, including the core elements of an effective prompt and the most common prompt types used to improve results. Through guided exercises and realistic workplace scenarios, students will practice writing and refining prompts that can help them communicate more clearly, work more efficiently, and improve the quality of everyday tasks.
By the end of the session, participants will have a strong foundation for using Perplexity with greater confidence, accuracy, and purpose.

This beginner friendly course introduces students to the fundamentals of Artificial Intelligence and the practical use of ChatGPT in the workplace. Participants will learn what AI is, how ChatGPT works at a high level, how to navigate the platform, and how to use its key features effectively.
The course also explores the fundamentals of prompting, including the core elements of an effective prompt and the most common prompt types used to improve results. Through guided exercises and realistic workplace scenarios, students will practice writing and refining prompts that can help them communicate more clearly, work more efficiently, and improve the quality of everyday tasks.
By the end of the session, participants will have a strong foundation for using ChatGPT with greater confidence, accuracy, and purpose.

This 1-day course focuses on building intelligent applications that can see, interpret, and reason over images and documents using different multimodal models and agent-based tools. Learners explore how visual and document inputs can be combined with language models to enable structured extraction, analysis, and decision-making workflows. The course emphasizes practical patterns for extracting information, orchestrating tools, and grounding model responses in visual data.

This course introduces Microsoft Dynamics 365 Contact Center, focusing on its core features and user experiences. Participants will gain an understanding of the platform’s work allocation capabilities, learn how conversations are efficiently routed, and explore the day-to-day workflows of both Contact Center representatives and supervisors. By the end of the course, learners will be equipped with the knowledge to navigate and manage the Dynamics 365 Contact Center environment effectively.

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.

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.

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.

Architecting agentic AI business solutions is an advanced course for architects, senior consultants, and technical leaders responsible for planning, designing, and governing AI-powered enterprise solutions built on Microsoft platforms. This course serves as a foundational, real-world, and architectural preparation step that builds the design judgment, strategic reasoning, and end-to-end understanding learners need before pursuing the AB-100 exam or implementing agentic AI solutions at scale. Learners will explore how to architect AI-powered business solutions that use agents, copilots, and generative AI to automate tasks, improve decision-making, and enhance employee and customer experiences. Emphasis is placed on architecture, trade-offs, governance, cost/benefit analysis, and lifecycle management, rather than step-by-step configuration.

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.

Traditional MLOps is a set of practices to productionize traditional ML systems for enterprise applications. Generative AI raises new challenges in managing and productionizing applications at scale. The field of generative AI operations seeks to address these new challenges. In this course, you learn about the challenges that arise when deploying and productionizing generative AI-powered applications. You learn how to secure your generative AI-powered applications. Finally, you will discuss best practices for logging and monitoring your generative AI-powered applications in production.

As generative AI becomes more common, the ability to interact with large language models is shifting from niche knowledge to a necessary skill across many different industries and roles. In this course, you will learn the fundamentals of prompting large language models and exploring further techniques for improving the output from large language models.

In this course, learners will explore how to lead AI transformation across their organization. They’ll 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-making—no technical expertise required—making it ideal for senior leaders who want to confidently drive AI adoption and innovation.

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 cases—no coding required—making it ideal for those who want to confidently integrate AI into their work.