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Google Cloud

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation

Google Cloud via edX

Overview

MIT Sloan: Drive Business Value with AI
6-week cohort with live MIT Faculty sessions. Learn to scale AI beyond the pilot stage.
Build Your AI Strategy

Gain the essential tools, techniques, and best practices to evaluate generative and predictive AI models with Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation, developed by Google Cloud and delivered on edX.

This course covers the critical discipline of model evaluation, which ensures that machine learning (ML) systems deliver reliable, accurate, and high performing outcomes in production. You’ll also have opportunities to explore the unique challenges posed by generative AI models, and learn strategies to tackle them effectively. Leveraging Google Cloud's Vertex AI platform, you’ll be able to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

By the end of the course, you’ll have a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks.

Syllabus

  • 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.

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