Generative AI Playbook: Tools, Real-World Applications, and Governance
MIT Learn
The curriculum examines the foundations of generative models, machine learning (ML), and reinforcement learning, connecting these concepts to real-world industry applications. You will explore how large language models (LLMs), retrieval-augmented generation (RAG), emerging AI agents, and agent-driven workflows influence modern AI systems while also addressing ethical considerations, AI governance, principles of responsible AI, and long-term societal implications. Through applied case discussions and structured frameworks, you will build the fluency to assess generative AI use cases, collaborate credibly with technical teams, and design informed, responsible solutions in a rapidly evolving landscape.
Skills covered
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