This course provides a comprehensive foundation in Generative AI within the Microsoft Azure ecosystem, tailored for those looking to understand, implement, and build responsible AI solutions. You will explore essential AI concepts, including how Large Language Models (LLMs) function, and how these models are transforming industries through intelligent content generation—from text and images to code and speech.
The course dives deep into the working principles behind generative AI, covering topics such as tokenization, transformer architectures, multi-head attention, and prompt engineering. It also offers hands-on guidance on utilizing Azure OpenAI, Azure AI Foundry, and other Azure AI services to develop scalable, secure, and enterprise-grade applications using industry best practices and tools.
In addition to technical skills, the course places strong emphasis on responsible AI practices. You will learn Microsoft’s Responsible AI principles—including fairness, transparency, inclusiveness, and accountability—and how to integrate them into AI projects using governance frameworks and harm mitigation strategies.
Whether you’re a beginner aiming to break into AI, a cloud developer, or an IT professional preparing for the AI-900: Microsoft Azure AI Fundamentals certification, this course equips you with the practical and ethical knowledge to succeed in the rapidly evolving field of AI on Azure platforms and services.
By the end of this course, you’ll be confident in leveraging Azure’s AI capabilities to build innovative, ethical, and impactful generative AI solutions.
- Beginners curious about Generative AI and its use cases
- Developers exploring Microsoft Azure AI Foundry tools
- Students interested in AI fundamentals and prompt design
- Tech professionals wanting hands-on AI experience
- Business users looking to understand AI-driven content
- Anyone eager to explore responsible and ethical AI
