Azure AI Fundamentals: Generative AI Workloads

Are you looking to understand the rapidly evolving world of artificial intelligence and its practical applications, especially generative AI, within a cloud environment? This course provides a clear, text-based introduction to the foundational principles of AI and how to leverage powerful generative models on Azure. By reading through the explanations and practicing with code snippets, you will gain a solid understanding of key AI concepts and be able to articulate how generative AI works, its applications, and how to utilize Azure's specialized services to build intelligent solutions. What you'll learn: Understand core artificial intelligence and machine learning concepts, including their types and applications. Learn about the various Azure AI services available for different AI workloads. Grasp the fundamental principles of generative AI, including large language models and diffusion models. Apply basic prompt engineering techniques to guide generative AI models effectively. Understand the concepts and benefits of Retrieval-Augmented Generation (RAG) patterns for enhanced AI. Recognize critical ethical considerations and responsible AI practices in development and deployment. Practice identifying the appropriate Azure AI service for common AI use cases. The course begins with essential AI terminology and foundational concepts, then progresses to an exploration of Azure's AI service offerings, with a dedicated focus on the principles and practical application of generative AI, including modern techniques like prompt engineering. This course is designed for absolute beginners with no prior experience in artificial intelligence or cloud computing. Start your journey into Azure AI and generative models today.