Free
Course

Generative AI on GCP: An Introduction

Dive into generative AI on Google Cloud Platform. Learn AI development, GCP advantages and machine learning services, image generation, NLP, and more.

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  • Skill level

    Beginner

  • Time to complete

    Approx. 2 hours

  • Certificate of completion

    Yes

  • Prerequisites

    None

About this course

Generative artificial intelligence (AI) has taken the world by storm. Chatbots, photo creation, document writing, and other practical applications are everywhere, and they're gaining in popularity and sophistication. 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. In this course, you'll be introduced to generative AI, beginning with GCP and its generative AI offerings. You will discover the advantages and disadvantages of generative AI and features of GCP machine learning (ML). Then you'll learn about the generative AI life cycle, image generation, natural language processing (NLP), and best practices for developing generative AI. Finally, you'll explore GCP privacy, security, and compliance considerations, monitoring and logging with GCP, and some real-world generative AI use cases.

Learning objectives

  • Discover the key concepts covered in this course
  • Outline the fundamentals of generative artificial intelligence (ai) and its applications in the cloud
  • Provide an overview of the generative ai services provided by google cloud platform (gcp)
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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