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Generative AI systems are powerful, dynamic, and increasingly integrated into everyday business operations — but they are also unpredictable, complex to monitor, and difficult to maintain over time. This course is designed to help you build the skills and mindset needed to monitor, evaluate, and maintain GenAI systems in live production environments.
In this course, you’ll learn how to interpret and act on key performance signals such as latency, throughput, token usage, hallucination rate, and user feedback. You’ll explore how to design observability layers that go beyond traditional metrics — integrating both infrastructure-level monitoring (with tools like Prometheus and Grafana) and model-centric monitoring (with Weights & Biases).
We’ll also walk through structured approaches to identifying and responding to issues like model drift, prompt failure, or quality degradation. You’ll understand how to align system health with business outcomes, and how to ensure your GenAI assistant stays relevant, reliable, and trustworthy over time.
To make the learning practical and grounded, you’ll follow the story of InsightBot, a GenAI system developed by a fictional company — GenPrompt Solutions Inc. You’ll see how InsightBot is monitored, audited, updated, and optimized as part of an ongoing system lifecycle.
By the end of this course, you’ll understand how to implement logging and audit trails, automate retraining and deployment cycles, and use feedback loops to support continuous improvement. You’ll also gain awareness of best practices in MLOps and DevOps for GenAI, and how to connect technical observability with ethical AI governance and business strategy.
This course is ideal for data scientists, machine learning engineers, AI architects, DevOps professionals, and technical leads working with GenAI systems. No prior experience with monitoring tools is required — the course will guide you step by step.
If you're ready to move from building GenAI systems to running them confidently and responsibly, this course is your next step.
Everything You Need to Know About Monitoring and Maintaining GenAI Systems
This course is a comprehensive and well-structured introduction to Monitoring and Maintaining GenAI Systems. The instructor, Dr. Amar Massoud, is a leading expert in the field with a wealth of experience in IT & Software to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Other IT & Software. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Monitoring and Maintaining GenAI Systems. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
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