Google Vertex AI is a powerful unified platform for developing and managing AI models — but navigating it can be daunting for beginners.
This 1-day instructor-led course provides a structured, hands-on experience that walks participants through the core components of Vertex AI, including Vertex AI Studio, Pipelines, Model Registry, and Feature Store. Participants will learn to use pre-trained foundation models for text, image, and code; build and deploy custom models using AutoML; and automate ML workflows with Pipelines.
By the end of this course, participants will confidently understand how Vertex AI streamlines the entire ML lifecycle — from data preparation and training to deployment and monitoring — enabling faster, more efficient, and scalable AI innovation.
Module 1: Welcome & Introduction
Overview of Vertex AI and its importance in modern AI/ML workflows.
Module 2: Understanding Vertex AI Ecosystem
Explore Vertex AI Studio, Pipelines, Feature Store, and Model Registry — and see how they fit into the ML lifecycle.
Module 3: Getting Started with Vertex AI
Navigate the Vertex AI interface and explore pre-trained foundation models in Model Garden (text, image, code).
Module 4: Hands-On — Using Vertex AI Studio
Work with PaLM models for text, image classification, and zero-shot learning examples.
Module 5: Model Building and Deployment
Upload, train, and deploy custom models using AutoML and custom training workflows.
Module 6: Hands-On — End-to-End ML Workflow
Create, train, evaluate, and deploy a full ML project using a sample dataset.
Module 7: Best Practices in Vertex AI
Learn how to manage models, automate workflows with Pipelines, and monitor performance.
Module 8: Wrap-Up & Q&A
Review core concepts, explore next learning steps, and discuss participant questions.
Contact Us
Frequently Asked Questions (FAQs)
Is prior AI experience required?
No. This course is designed for beginners and intermediate learners.
Will I get hands-on practice?
Yes. You’ll work directly with Vertex AI Studio, Model Garden, and AutoML.
Do I need a Google Cloud account?
Access will be provided or guided during the course.
Does this course prepare me for certification?
It’s a foundational course — ideal preparation for advanced Google Cloud AI certifications.
Is it suitable for business users?
Yes. It focuses equally on practical application and business integration.