Evaluating, Governing, and Scaling AI Agents
About this course
This course teaches you how to assess and improve the quality, safety, and business impact of the AI agents you create. You will learn straightforward techniques for evaluating outputs, measuring reliability, and reducing hallucinations and errors. The course covers beginner friendly security, privacy, and governance practices so your agents align with organizational policies and regulations. You will design simple experiments to compare processes with and without agents, quantify time savings, and communicate results to managers. Finally, you will explore how to maintain, document, and responsibly scale your agents without creating unmanageable “agent sprawl.” By the end, you will be able to define clear output requirements, evaluate your agents systematically, and make evidence based decisions about when and how to deploy them.
68/100
CourseAsk score
- What the provider tells you
- 32/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- techniques for evaluating AI outputs
- methods to measure the reliability of AI agents
- strategies for reducing AI errors and hallucinations
- beginner-friendly practices for AI security and governance
- designing experiments to compare AI-assisted processes
- quantifying time savings from AI implementation
- documenting and scaling AI agents responsibly
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Coursera
Udemy
Compared on these lists
Where this course ranks against the alternatives.