Vertex AI Fundamentals Training in Auckland

Vertex AI Fundamentals Training in Auckland, New Zealand

This course covers notebooks, pipelines, AutoML, model registry, embeddings, vector search, tuning, monitoring, and GenAI APIs.

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Vertex AI Fundamentals Training is a professional training program delivered by ProgNXT in Auckland, New Zealand. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Vertex AI Fundamentals Training course with hands-on, instructor-led sessions. This Vertex AI training provides a practical introduction to Google Cloud’s end-to-end AI platform. Participants learn how to build,...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: XPY33
14 Hrs
Last Updated: April 2026

Course Rating5/5

This Vertex AI training provides a practical introduction to Google Cloud’s end-to-end AI platform. Participants learn how to build, deploy, and experiment with machine learning and generative AI models using no-code and low-code tools. The program is designed for learners with minimal or no prior experience in AI, ensuring concepts are explained simply and hands-on exercises reinforce learning. By the end of the training, participants will be able to navigate the Vertex AI workspace, create AutoML models, deploy them, and experiment with Gemini generative AI models using Vertex AI Studio.

Welcome to the official Vertex AI Fundamentals Training certification program in Auckland, New Zealand. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

This is a beginner-level program. Only basic computer skills are required.

Recommended (but not required):

Familiarity with working on web-based applications
Very basic understanding of what AI/ML is (conceptual only)
A Google Cloud account

Participants will be able to:

Explain what Vertex AI is and how it supports ML and GenAI workflows.
Build and train ML models using AutoML for structured, text, or image data.
Deploy trained models to an endpoint and perform online predictions.
Use Vertex AI Studio to experiment with Gemini text and multimodal models.
Apply beginner-level prompt engineering techniques.
Create simple embeddings and understand how vector search works.
Build a basic RAG-style Q&A demo using Vertex AI no-code tools.
Understand Responsible AI, monitoring basics, and cost considerations.
Start planning beginner-level AI use cases in their organization.

After completing this program, participants will gain:

Ability to navigate and use the Vertex AI Console
Understanding of datasets, models, endpoints, and Workbench basics
Skills to prepare and upload data into Google Cloud Storage
Capability to build ML models using AutoML
Knowledge of deploying models and generating predictions
Hands-on experience with Gemini generative AI models
Basic understanding of prompt engineering and safe AI usage
Introduction to embeddings, vector search, and simple RAG workflows
Overall confidence to start exploring AI projects on Vertex AI

Participants will be evaluated informally based on:

Navigating the Vertex AI Console
Creating and uploading a dataset to Cloud Storage
Building an AutoML model
Deploying the model to an endpoint
Running a test prediction
Creating prompts and testing Gemini in Vertex AI Studio
Generating embeddings using the no-code interface
Explaining (in simple terms) the RAG workflow
Understanding key concepts such as endpoints, AutoML, embeddings, and generative AI

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Foundations & Hands-On Basics

Module 1: Introduction to Google Cloud & Vertex AI

What is Google Cloud?
What is Vertex AI?
Why use Vertex AI?
Types of AI workloads supported (ML, Generative AI)
Vertex AI vs AWS & Azure (simple comparison)

Module 2: Navigating the Vertex AI Workspace

Vertex AI Console overview
Understanding:

Datasets
Models
Notebooks (Workbench)
Endpoints

IAM basics (simple explanation)
Storing files in Cloud Storage (GCS)

Module 3: Data Preparation for Beginners

Importing data into Vertex AI
Uploading files to Cloud Storage
Basic labeling & dataset creation
What is a Feature Store?

Module 4: AutoML – Build ML Models Without Coding

What is AutoML?
AutoML for:

Tabular data
Text classification
Image classification

Training an AutoML model (guided demo)
Understanding model metrics (accuracy, precision, recall)
Best practice

Hands-On Labs

Create a GCP project
Upload data to Cloud Storage
Build a simple AutoML Image/Text/Tabular model
Evaluate the model
Generate predictions from the console

Deployments, Generative AI & Simple Applications

Module 5: Model Deployment

What is an Endpoint?
Deploying a model with 1 click
Online vs batch prediction
Cost basics
Testing predictions with the UI

Module 6: Introduction to Generative AI (Gemini) on Vertex AI

What is Gemini?
Text, chat, and multimodal models
Understanding prompts
Simple prompt engineering techniques
Safety settings overview

Module 7: Embeddings & Very Simple RAG

What are embeddings?
What is vector search?
When to use RAG
Simple workflow: Upload → Embed → Query

Module 8: Using Vertex AI with No-Code & Low-Code Tools

Using Vertex AI Studio (Playground)
BigQuery integration
Using prebuilt Google templates
Introduction to MakerSuite (optional)

Module 9: Intro to Monitoring & Governance

Why monitoring matters
What is drift? Simple explanation
Responsible AI basics
Role-based access (simple IAM overview)

Hands-On Labs

Deploy a model to an endpoint
Try predictions in the UI
Use Vertex AI Studio to test Gemini prompts
Generate embeddings using a no-code workflow
Create a simple RAG-style Q&A demo (UI only)

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on: Daily quizzes, mock questions and query resolution. Group Discussion and Case Study Discussion. Assessment will be through hands-on labs, quizzes, and a hands-on exercises. ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Vertex AI Fundamentals Training Events in auckland

Online Events

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More Upcoming Session Dates

October 2026

📍 Auckland, New Zealand

26th Oct 2026→27th Oct 2026

November 2026

🌐 Online Instructor-Led

2nd Nov 2026→3rd Nov 2026

📍 Auckland, New Zealand

8th Nov 2026→9th Nov 2026

📍 Auckland, New Zealand

20th Nov 2026→21st Nov 2026

🌐 Online Instructor-Led

22nd Nov 2026→23rd Nov 2026

December 2026

📍 Auckland, New Zealand

5th Dec 2026→6th Dec 2026

🌐 Online Instructor-Led

11th Dec 2026→12th Dec 2026

📍 Auckland, New Zealand

21st Dec 2026→22nd Dec 2026

🌐 Online Instructor-Led

23rd Dec 2026→24th Dec 2026

Events for other courses in Auckland, New Zealand

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Vertex AI Fundamentals Training in Auckland