Learn the fundamentals of building Generative AI applications with our 18-lesson comprehensive course by Microsoft Cloud Advocates. Recommended resources Generative AI for Beginners GitHub repo
This section serves as a comprehensive guide for launching, operating, and enhancing Generative AI applications in a production environment. It encapsulates essential capabilities, from delivering innovative experiences to ensuring robust security and privacy, and managing the lifecycle of AI solutions.
Learn about Generative AI - a technology that uses machine learning models to generate new content, ideas, or solutions based on existing data.
Get a conceptual overview about integrating generative AI into applications, exploring its business benefits, operational fundamentals, and the potential of large language models (LLMs).
Learn how generative AI enhances productivity, ensures responsible use, and empowers innovation through Microsoft tools like Copilot Studio and Azure AI. This module explores practical applications, security principles, and platform capabilities to help organizations confidently adopt and scale AI solutions.
Generative AI is revolutionizing the way organizations innovate, operate, and compete. For business leaders, understanding the foundations of generative AI is essential to unlocking new opportunities, driving measurable business value, and leading successful transformation. This module provides a practical overview of generative AI concepts, technologies, and solutions—including Microsoft ...
Generative AI powers applications that can create content, answer questions, and assist with tasks. In this module, you'll explore the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents.
Learn how Microsoft Foundry enables safe, high-quality generative AI through systematic evaluation and observability tools.
Learn how to discover, monitor, and manage the generative AI apps your organization uses.