The Generative AI for Azure Cloud Engineers course is designed for Azure cloud engineers, DevOps professionals, solution architects, and IT practitioners who want to understand and implement Generative AI solutions using Microsoft Azure services. This course provides a comprehensive foundation in Azure OpenAI Service, Microsoft Copilot, Copilot Studio, Microsoft Foundry, and enterprise-grade Generative AI capabilities within the Azure ecosystem.

This course introduces learners to the core concepts of Generative AI, including large language models, prompt engineering, multimodal AI, and Responsible AI practices. You will explore how Azure OpenAI Service enables text generation, code generation, and image generation, and how these capabilities integrate with Azure applications, automation workflows, and enterprise cloud architectures. You will also learn how Microsoft Copilot enhances productivity across Microsoft 365, security operations, and business applications, and how Copilot Studio enables engineers to build intelligent conversational agents. Additionally, the course introduces Microsoft Foundry, Retrieval Augmented Generation (RAG), model fine-tuning, and model catalog capabilities for building enterprise-ready AI solutions. Through conceptual explanations, demonstrations, and real-world Azure cloud engineering scenarios, this course helps you understand how to design, deploy, and manage Generative AI solutions securely and efficiently in Azure. The course delivers approximately 12–15 hours of structured video content, organized into four modules. Each module includes quizzes and knowledge checks to reinforce learning and validate understanding. Enroll in Generative AI for Azure Cloud Engineers to gain practical knowledge of Azure Generative AI services and confidently build intelligent cloud-native AI solutions using Microsoft Azure. Course Modules: Module 1: Generative AI Overview Understand the fundamentals of Generative AI, including its core concepts, architecture components, features, and enterprise use cases. Learn how Generative AI solutions work and explore Responsible AI principles to ensure safe, ethical, and compliant AI implementation. Module 2: Azure OpenAI Service and Applications Explore Azure OpenAI Service and learn how to build natural language, code generation, and image generation solutions. Understand prompt engineering, REST APIs, multimodal models, fine-tuning, and how Azure OpenAI powers enterprise AI solutions such as Microsoft Copilot. Module 3: Microsoft Copilot and Copilot Studio Overview Learn how Microsoft Copilot enhances productivity across business applications and how Copilot Studio enables the creation of intelligent conversational agents. Explore Copilot use cases, demos, and how Generative AI integrates with Microsoft Power Platform and enterprise workflows. Module 4: Microsoft Copilot, Security Copilot, and Microsoft Foundry Services Understand Microsoft 365 Copilot, Security Copilot, and Microsoft Foundry capabilities. Learn how Retrieval Augmented Generation (RAG), model catalog, and fine-tuning help engineers build optimized, scalable, and enterprise-grade Generative AI applications in Azure. By the End of This Course, You Will Be Able To: Understand core Generative AI concepts, components, and enterprise use cases Use Azure OpenAI Service to build text, code, and image generation solutions Apply prompt engineering techniques to control and optimize AI model responses Integrate Generative AI capabilities into Azure cloud applications and workflows Understand Microsoft Copilot, Copilot Studio, and their enterprise use cases Implement Retrieval Augmented Generation (RAG) and model optimization techniques Use Microsoft Foundry and model catalog to build enterprise-grade AI solutions Apply Responsible AI principles and best practices in Azure Generative AI deployments