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.

Machine Learning Operations with Vertex AI: Model Evaluation

Machine Learning Operations with Vertex AI: Model Evaluation

Instructor: Google Cloud Training
Access provided by Xavier School of Management, XLRI
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand the nuances of model evaluation in both predictive and generative AI, recognizing its crucial role within the MLOps lifecycle.
Identify and apply appropriate evaluation metrics for different generative AI tasks.
Efficiently evaluate generative AI with Vertex AI's diverse evaluation services, including both computation-based and model-based methods.
Implement best practices for LLM evaluation, to ensure robust and reliable model deployment in production environments.
Skills you'll gain
Tools you'll learn
Details to know

Shareable certificate
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Assessments
2 assignments
Taught in English
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There are 4 modules in this course
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