Many AI projects fail—not because the models aren’t impressive, but because teams focus on technology alone.
In this 5th and final part, we'll explore everything you need to know about AI ethics. Together, we will examine how AI affects the environment, jobs, society, data, and governance, so you can better understand the responsibilities that come with using AI.
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Agentic AI
Agentic AI gets much harder once it moves beyond demos and starts operating under real-world constraints. A model that can plan and act still needs structure, reliable inputs, and clear boundaries to perform safely and consistently.
Using Anthropic’s Project Vend as a running case, this course shows what breaks in practice and what must be added to make agent systems dependable. It is a practical introduction to the architecture behind real-world agentic AI.
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