Machine Learning Operations with Vertex AI: Model Evaluation
About this course
This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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What you'll learn
- understanding evaluation metrics
- applying methodologies to model evaluation
- implementing evaluation processes in Vertex AI
- addressing challenges in generative AI model evaluation
Course objectives
- ensure reliable and accurate AI models
- gain expertise in model evaluation techniques
- optimize model selection and monitoring processes
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