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Introduction to Vertex AI

Learn the fundamentals of Google's Vertex AI platform for machine learning development and deployment in this practical course.

Learn the fundamentals of Google's Vertex AI platform for machine learning development and deployment in this practical course.

This concise yet comprehensive course introduces Vertex AI, Google's unified platform for machine learning operations. Students learn to navigate the platform's interface, understand its key components, and implement MLOps best practices. The curriculum covers foundational models, practical applications, and strategic insights for leveraging Vertex AI effectively. Designed for data scientists, ML engineers, and AI enthusiasts, the course provides hands-on experience with real-world scenarios and best practices for AI/ML solution development.

Instructors:

English

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Introduction to Vertex AI

This course includes

4 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Understand the fundamentals of Vertex AI and its capabilities

  • Navigate the Vertex AI interface effectively

  • Master key components and features of the platform

  • Learn about foundational models and their applications

  • Develop strategic insights for ML project implementation

  • Gain practical experience with MLOps processes

Skills you'll gain

Vertex AI
machine learning
MLOps
foundational models
Google Cloud
AI development
ML platforms
cloud computing
generative AI
model deployment

This course includes:

33 Minutes PreRecorded video

3 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 2 modules in this course

The course provides a thorough introduction to Google's Vertex AI platform, focusing on its role in modern machine learning operations. Through two comprehensive modules, students explore the platform's interface, key components, and practical applications. The curriculum emphasizes understanding foundational models, MLOps processes, and effective implementation strategies for AI/ML projects. Learning objectives include mastering the platform's interface, understanding its features, and gaining strategic insights for real-world applications.

Course Introduction

Module 1 · 1 Hours to complete

Exploring Vertex AI

Module 2 · 2 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Fractal Analytics
Fractal Analytics

4.8 rating

13 Reviews

50,037 Students

16 Courses

Leading the Future of AI Education with Comprehensive Course Portfolio

Fractal Analytics has established itself as a premier provider of cutting-edge technology education through its extensive course offerings on Coursera, spanning artificial intelligence, data science, and business strategy. The curriculum encompasses sixteen specialized courses, including foundational programs like "Python for Data Science" and "Structured Approach to Problem Solving," alongside cutting-edge offerings in Generative AI with courses such as "GenAI for Everyone," "Generative AI Essentials," and "Coding with Generative AI." The platform demonstrates its commitment to responsible technology implementation through courses like "Responsible AI - Principles and Ethical Considerations" and "Responsible AI in the Generative AI Era," while also addressing human aspects of technology through "Behavior Architecture - Understanding Human Behavior" and "Human Decision Making and its Biases." Advanced technical courses include "Introduction to Vertex AI" and "Quantum Computing For Everyone," complemented by practical business applications through "Data Storytelling," "Generative AI for Consultants," and "Successful AI Strategies: A CEO's Perspective." This comprehensive portfolio reflects Fractal Analytics' dedication to providing well-rounded education in emerging technologies while emphasizing ethical considerations and practical applications.

Introduction to Vertex AI

This course includes

4 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.