- Curious about artificial intelligence? Want to understand what the buzz is about? This module introduces you to the world of AI.
In this module, you learn about the kinds of solutions AI can make possible and considerations for responsible AI practices.
- Ever wondered how AI can create content, answer questions, and assist with tasks? This module introduces you to the world of generative AI and agents.
By the end of this module, you'll be able to:
- Describe core concepts of generative AI.
- Explain how large language models (LLMs) work.
- Consider how to create effective prompts for LLMs.
- Describe core concepts of agents and agentic AI solutions.
- Explore six principles to guide AI development and use - fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
In this module, you will:
Explain why responsible AI matters and identify its societal implications.
Apply Microsoft’s six guiding principles for responsible AI in your organization.
Design a governance system that turns principles into actionable policies and controls.
Take practical steps to implement responsible AI across teams and processes.
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Syllabus
- Introduction to AI concepts
- Introduction to AI
- Generative AI and agents
- Text and natural language
- Speech
- Computer vision
- Information extraction
- Responsible AI
- Exercise - Explore AI workloads
- Module assessment
- Summary
- Introduction to generative AI and agents
- Introduction
- Large language models (LLMs)
- Prompts
- AI agents
- Exercise - Explore generative AI
- Module assessment
- Summary
- Embrace responsible AI principles and practices
- Introduction
- Prepare for responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Apply systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
- Module assessment
- Summary