GitHub responsible AI
Microsoft Learn
Last updated June 27, 2025
This learning path is a conceptual grounding in building with AI responsibly. Across three modules it introduces core AI concepts — generative AI, language and speech, computer vision, and information extraction — then explores the fundamentals of generative AI and agents, including large language models (LLMs) and prompts. The final module covers responsible AI in practice: Microsoft's principles, governance systems, and real-world examples that show how to design policies, processes, and safeguards for ethical and secure AI adoption. It is explanatory rather than hands-on coding.
What you'll learn
- Core AI concepts: generative AI, language, speech, and computer vision
- The fundamentals of generative AI, large language models, and prompts
- How AI agents work at an introductory level
- Microsoft's responsible AI principles and governance systems
- Designing policies, processes, and safeguards for ethical, secure AI adoption
Frequently asked questions about GitHub responsible AI
Who is GitHub responsible AI for?
Developers and startup founders who want to understand AI fundamentals and how to adopt AI responsibly.
Is GitHub responsible AI free?
Yes — GitHub responsible AI is completely free to take.
What are the prerequisites for GitHub responsible AI?
A GitHub account and a basic understanding of AI fundamentals. Conceptual; no coding.
Why we suggest this course
For developers and founders who want to build with AI without leaving ethics and governance as an afterthought, this path pairs a plain-language tour of what AI can do with a serious look at how to do it responsibly. It frames responsible practice as something you design in from the start — principles, policies, and safeguards — rather than a compliance step bolted on later. One thing to know: it assumes a GitHub account and a basic understanding of AI fundamentals, and it is conceptual, so you won't be writing code.