Introduction to Vertex AI (Coursera)

Offered by Fractal Analytics,
Introduction to Vertex AI (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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!

What you'll learn

  • Fundamentals of Vertex AI
  • Strategic insights to use Vertex AI effectively

Syllabus

Course Introduction
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.

Exploring Vertex AI
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).

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Machine Learning in Healthcare: Fundamentals & Applications (Coursera) Coursera
Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Sep 28th 2026
4 Weeks
Decision Making and Reinforcement Learning (Coursera) Coursera
Columbia University

Decision Making and Reinforcement Learning (Coursera)

This course is an introduction to sequential decision making and reinforcement learning. We start with a discussion of utility theory to learn how preferences can be represented and modeled for decision making. We first model simple decision problems as multi-armed bandit problems in and discuss several approaches to evaluate feedback. We will then model decision problems as finite Markov decision processes (MDPs), and discuss their solutions via dynamic programming algorithms. We touch on the notion of partial observability in real problems, modeled by POMDPs and then solved by online planning methods.

Sep 28th 2026
5-12 Weeks
3D Printing Capstone Coursera
University of Illinois at Urbana-Champaign

3D Printing Capstone

The capstone will integrate the learning acquired from the four courses in the 3D Printing Specialization through a hands-on project. This project will enable you to turn an idea into an object using the knowledge and skills acquired through the other courses. Specifically, you will be guided through a step-by-step process in which you imagine, design, make, and share a 3D printed object. Thus, through this capstone, you will be able to put course concepts into action and utilize the skills that you have acquired throughout the Specialization.

Sep 28th 2026
4 Weeks
Math for AI beginner part 1 Linear Algebra (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Math for AI beginner part 1 Linear Algebra (Coursera)

'Learn concept of AI such as machine learning, deep-learning, support vector machine which is related to linear algebra. Learn how to use linear algebra for AI algorithm. After completing this course, you are able to understand AI algorithm and basics of linear algebra for AI applications.

Sep 28th 2026
5-12 Weeks
New Technologies for Business Leaders (Coursera) Coursera
Rutgers University

New Technologies for Business Leaders (Coursera)

This introductory course is developed for high-level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

Sep 28th 2026
5-12 Weeks
Ethical Issues in Data Science (Coursera) Coursera
University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Sep 28th 2026
5-12 Weeks
Security for Artificial Intelligence Software and Services (Coursera) Coursera
Board Infinity

Security for Artificial Intelligence Software and Services (Coursera)

The "Security Basics for Artificial Intelligence Software and Services" course provides an in-depth exploration of security measures and best practices in the context of AI. Spanning two comprehensive modules, the course begins with an introduction to the fundamentals of AI security, including ethical considerations and common threats. It then progresses to practical strategies for implementing robust security in AI development, such as secure coding, vulnerability assessment, and adherence to compliance standards.

Sep 28th 2026
2 Weeks
Frontiers in Dentistry (Coursera) Coursera
University of Pennsylvania

Frontiers in Dentistry (Coursera)

In this course, Frontiers in Dentistry, you will be able to explore some of the latest advances in the field of dental medicine. The innovations in therapeutic techniques as well as our understanding of the biomedical sciences have been made possible by our research enterprise which integrates the latest emerging technology along with interdisciplinary collaborations.

Sep 28th 2026
5-12 Weeks
Computer Vision with Embedded Machine Learning (Coursera) Coursera
Edge Impulse

Computer Vision with Embedded Machine Learning (Coursera)

Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems.

Sep 28th 2026
3 Weeks
Introduction to Psychology (Coursera) Coursera
Yale University

Introduction to Psychology (Coursera)

What are people most afraid of? What do our dreams mean? Are we natural-born racists? What makes us happy? What are the causes and cures of mental illness? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, persuasion, emotions, and social behavior. We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury.

Sep 28th 2026
5-12 Weeks