Free
Course

Generative AI on GCP: Empowering Machine Language Workflows with Vertex AI

Learn Vertex AI on GCP: end-to-end ML workflows, model deployment, training, data preparation, feature engineering, and evaluation for effective AI solutions.

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  • Skill level

    Intermediate

  • Time to complete

    Approx. 2 hours

  • Certificate of completion

    Yes

About this course

Google Cloud Platform (GCP) has a broad range of powerful generative AI tools that can be used to leverage the power of modern artificial intelligence (AI). A main component of that toolbox is Google's Vertex AI platform, which can aid organizations in streamlining machine learning (ML) workflows and deliver better machine learning models. In this course, you'll be introduced to Vertex AI, beginning with an overview of its features, model deployment, and end-to-end workflow. Then you'll explore pros and cons of Vertex AI, how it can be used to accelerate development, and model selection, training, and evaluation considerations. Finally, you'll learn about Vertex AI integration, data preparation, feature engineering, model evaluation, and Vertex AI success stories.

Learning objectives

  • Discover the key concepts covered in this course
  • Outline the fundamentals of vertex ai and its role in the machine learning (ml) life cycle
  • Identify key features of vertex ai, including mlops, automl, custom training, and interfaces
Meet the creator of the course
Elias Zoghaib
Machine Learning Engineer/Backend Engineer
Elias has several years of research experience in theoretical physics and computational physics. He specializes in machine learning, algorithm development, data science and backend development. With a strong background in mathematics, Elias builds models to describe and analyze data across all disciplines and specializes in web services, SaaS, cloud-computing platforms, and relational and non-relational database design.

How it works

Expert-led videos

In this course, you'll watch videos created by industry-leading experts for some of the biggest tech companies in the world. They'll cover key concepts, go through sample applications, prepare you for industry certifications, and more. Watch on any device — whenever and wherever you want — to learn at your own pace.
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The Relationship Between the Cloud & AI Explained

Cory Stieg
May 1, 2024

As AI finds its way into so many aspects of our lives, it’s even more important to understand the infrastructure that powers this valuable tool. That includes the cloud, which is a big part of how AI apps are deployed and scaled.  

Cloud computing basically refers to internet-delivered services like servers, storage, databases, networks, software, and analytics. The cloud provides computational power and ample data storage that’s needed to train, develop, and deploy cutting-edge AI models.  

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Join over 50 million learners and start Generative AI on GCP: Empowering Machine Language Workflows with Vertex AI today!

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