Ementorhub

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

Machine Learning

MLOps (Machine Learning Operations)

Data Quality

System Monitoring

Generative AI

Predictive Modeling

Natural Language Processing

Continuous Monitoring

A/B Testing

Google Cloud Platform

There are 4 modules in this course

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.

Introduction to Model Evaluation

Model Evaluation for Generative AI

Course Summary