- Course
- AI
Agentic AI Lifecycle Management
This course will teach you how to manage the full lifecycle of agentic AI, from design to sunsetting, so your AI systems stay reliable and maintainable.
What you'll learn
Agentic AI systems are powerful but fragile without lifecycle discipline. In this course, Agentic AI Lifecycle Management, you’ll learn to bring structure to your agents’ evolution. First, you'll break down agent lifecycle stages from design to deprecation. Next, you'll document agent capabilities, behaviors, and dependencies in a systematic way. Finally, you’ll define update policies and deprecation plans to ensure smooth transitions over time. When you’re finished with this course, you’ll have the skills and knowledge of agentic AI lifecycle management needed to confidently manage reliable AI agent ecosystems.
Table of contents
About the author
Eman Hassan is the CTO of Aleoop, an AI-driven startup that leverages machine learning to capture real-time customer needs and align product, sales, and leadership teams. With over 13 years of experience in software engineering, cloud computing, cybersecurity best practices, data engineering, and DevOps, she brings deep technical expertise and strategic insight to every project. Passionate about AI, mentorship, and continuous learning, Eman helps developers master emerging technologies and deliver impactful, real-world solutions.