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Grow with Google

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

  • up to 3 hours
  • Intermediate

This course equips machine learning professionals with essential tools and techniques for evaluating generative and predictive AI models. Learn to implement robust evaluation processes using Google Cloud's Vertex AI, ensuring reliable and high-performance AI systems.

  • Model evaluation
  • Generative AI
  • Vertex AI
  • Evaluation metrics
  • Model optimization

Overview

In this comprehensive course, participants will delve into the intricacies of model evaluation, a critical discipline for ensuring AI systems deliver reliable and accurate results. The course emphasizes the unique challenges of generative AI models and provides strategies to effectively address them. Using Google Cloud's Vertex AI platform, learners will master the implementation of solid evaluation processes for model selection, optimization, and continuous monitoring. By completing this course, participants will gain a badge to showcase their cloud skills and advance their careers.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    Spanish
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Pre-recorded classes
    delivered online

Who is this course for?

Machine Learning Professionals

Individuals looking to enhance their skills in evaluating AI models using Vertex AI.

Data Scientists

Professionals seeking to understand model evaluation metrics and methodologies.

AI Engineers

Engineers aiming to implement robust model evaluation processes in production.

Unlock the potential of AI by mastering model evaluation with Vertex AI. This course is perfect for machine learning professionals and data scientists looking to enhance their skills in evaluating AI models. Gain the expertise to implement robust evaluation processes and advance your career in the AI field.

Pre-Requisites

1 / 3

  • Knowledge of Python as covered in the Crash Course on Python by Google

  • Prior experience with basic machine learning concepts

  • Experience in creating machine learning solutions on Google Cloud

What will you learn?

Understanding Model Evaluation
Learn the importance of model evaluation in the MLOps lifecycle and its role in ensuring reliable AI systems.
Evaluation Metrics and Methodologies
Explore various metrics and methodologies for evaluating generative and predictive AI models.
Challenges in Generative AI
Identify the unique challenges presented by generative AI models and strategies to address them effectively.
Implementing Evaluation with Vertex AI
Master the use of Google Cloud's Vertex AI platform to implement robust evaluation processes for model selection and optimization.
Continuous Monitoring and Optimization
Learn to continuously monitor and optimize AI models to ensure high performance and reliability.

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