Vertex AI for Machine Learning Practitioners
Explore the full capabilities of Vertex AI on Google Cloud in this comprehensive one-day course, which has been especially designed for experienced Data Scientists and Machine Learning professionals.
Book this courseCourse Overview
1 day course
Certificate of Attendance
Private
Partner of the Year
Step into the world of Vertex AI with a course built for seasoned Data Scientists and Machine Learning practitioners ready to level up their workflow.
Whether you're already developing machine learning models or just starting to explore custom pipelines, this hands-on session will equip you with the skills to navigate Vertex AI's powerful suite of tools.
Expect practical insights, real-world applications, and the confidence to scale your projects using Google Cloud’s robust Machine Learning infrastructure.
Our Vertex AI for Machine Learning Practitioners course is offered as a private training session that can be delivered virtually or at a location of your choice in the UK.
What you'll learn
By the end of this course, you will be able to:
Understand the key components of Vertex AI and how they work together to support your ML workflows
Organize and version your models using Vertex AI Model Registry for easy access and tracking
Operationalize and orchestrate end-to-end ML workflows with Vertex AI Pipelines for increased efficiency and scalability
Configure and launch Vertex AI Custom Training and Hyperparameter Tuning Jobs to optimize model performance
Configure serving clusters and deploy models for online predictions with Vertex AI Endpoints
Configure and set up monitoring on deployed models
Course agenda
Module 1: Training, Tuning, & Deploying Models on Vertex AI
- Understand containerized training applications
- Understand Vertex AI custom training and tuning jobs
- Understand how to track and version your trained models in Vertex AI Model Registry
- Understand online deployment with Vertex AI endpoints
Module 2: Orchestrating End-to-end Workflows with Vertex AI Pipelines
- Understand Kubeow
- Understand pre-built and lightweight Python components
- Understand how to compile and execute pipelines on Vertex AI
Module 3: Model Monitoring on Vertex AI
- Understand feature drift and skew
- Understand model monitoring for models deployed to Vertex AI endpoints
Who it's for
This course is suitable for:
- Machine Learning engineers
- Data scientists
Prerequisites
To get the most out of this course, you should have completed our Application Development with LLMs on Google Cloud course or have equivalent knowledge.
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