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.
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · All Levels
More courses like this
Coursera
Responsible AI: Applying AI Principles with Google Cloud
Coursera · MOOC / Non-credit
DALL•E Masterclass: Create & Edit AI-Art with OpenAI
Udemy · Master's Degree
Wireshark Predator for Hacking: Analyze, Track, Hack, Secure
Udemy · MOOC / Non-credit
【AI 자막】 LLM 엔지니어링 : AI 인공지능 및 대규모 언어 모델 및 에이전트 마스터하기!
Udemy · MOOC / Non-credit
More courses from Coursera
Coursera
TCP/IP and Internet
Birla Institute of Technology & Science, Pilani · MOOC / Non-credit
Coursera
Agile Project Management
University of Colorado Boulder · Master's Degree
Coursera
Conservation and Sustainable Development
University of Michigan · MOOC / Non-credit
Coursera
Extra-Galactic Astronomy
University of Cambridge · MOOC / Non-credit