Introduction to Vertex AI

Introduction to Vertex AI

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Instructor: Fractal Analytics

Included with Coursera Plus

Beginner level

Recommended experience

3 hours to complete

3 weeks at 1 hour a week

Flexible schedule

Learn at your own pace

What you'll learn

Fundamentals of Vertex AI
Strategic insights to use Vertex AI effectively

Skills you'll gain

Details to know

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There are 2 modules in this course

Welcome to "Introduction to Vertex AI"!

In this concise yet impactful microlearning course spanning around 4 hours, we're diving into the world of Vertex AI to equip you with fundamental insights and practical skills. We'll unravel the essentials of Vertex AI, guiding you through the interface to empower you to navigate this powerful platform seamlessly. Get ready to grasp strategic insights that will enable you to effectively harness the capabilities of Vertex AI in your projects. The course is best suited for aspiring data scientists, machine learning enthusiasts, and professionals eager to harness the potential of AI. Understanding of Programming, Understanding of AI, and GenAI technology, and understanding Cloud computing, ML platform, DevOps, or LLMOps would be an added advantage. You'll walk away with a clear understanding of Vertex.AI's basics, mastering its interface, and acquiring strategic insights to leverage this tool effectively. Elevate your AI journey and stay ahead in the dynamic landscape of machine learning with "Introduction to Vertex AI." Let's get started! Note: To be able to explore Vertex AI and its features, you would need a Gmail account and Vertex AI access. In case you want to create a free trial account before you start, you can follow the link (https://cloud.google.com/vertex-ai?hl=en) and create your account. Please read the information page before

This module is designed to provide a comprehensive understanding of Vertex AI, a powerful and unified platform for machine learning. Participants will gain insights into the fundamental concepts, components, and applications of Vertex AI, equipping them with the knowledge needed to leverage its capabilities in real-world scenarios.

What's included

4 videos6 readings2 quizzes1 discussion prompt

4 videosTotal 12 minutes

Course Introduction3 minutesPreview module
What is Vertex AI3 minutes
Pre-requisites to succeed2 minutes
Vertex AI in the AI and machine learning landscape3 minutes

6 readingsTotal 38 minutes

Course Syllabus5 minutes
Disclaimer3 minutes
Key Features of Vertex AI10 minutes
The ML-Ops process flow - things to know10 minutes
What do you need? 5 minutes
Creating your account and Logging in5 minutes

2 quizzesTotal 15 minutes

Introduction to Vertex AI5 minutes
Vertex AI and its importance10 minutes

1 discussion promptTotal 10 minutes

Meet and Greet10 minutes

This module provides a comprehensive exploration of Vertex AI platform, emphasizing its interface, key components, and practical applications in developing AI/ML solutions. Participants will gain insights into foundational models, their advantages, and the pivotal role of Vertex AI in enhancing machine learning operations (MLOps).

What's included

5 videos3 readings1 quiz1 peer review2 plugins

5 videosTotal 21 minutes

Overview of Vertex AI Interface2 minutesPreview module
Components of Vertex AI-14 minutes
Components of Vertex AI-23 minutes
Introduction to Foundational Models6 minutes
How to use Vertex AI effectively in machine learning projects5 minutes

3 readingsTotal 50 minutes

Components of Vertex AI30 minutes
Case study: Successful projects using Vertex AI10 minutes
Bonus: Recommended readings and resources for further learning10 minutes

1 quizTotal 10 minutes

Practice Quiz10 minutes

1 peer reviewTotal 60 minutes

Applying the Fundamental Capabilities of Vertex AI 60 minutes

2 pluginsTotal 15 minutes

Exploring Vertex AI Model Garden5 minutes
Generative AI Studio: Simply Explained10 minutes

Instructor

Fractal Analytics

10 Courses29,306 learners

Offered by

Fractal Analytics

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Frequently asked questions

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

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When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

Introduction to Vertex AI

Course

What you'll learn

Skills you'll gain

Details to know

See how employees at top companies are mastering in-demand skills

Earn a career certificate

There are 2 modules in this course

Course Introduction

What's included

Exploring Vertex AI

What's included

Instructor

Offered by

Recommended if you're interested in Machine Learning

BigQuery Fundamentals for Redshift Professionals

Introduction to Migration Center Assessments

Securing Container Builds

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Why people choose Coursera for their career

New to Machine Learning? Start here.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

When will I have access to the lectures and assignments?

What will I get if I purchase the Certificate?

What is the refund policy?

More questions