Free
Course

Generative AI on AWS: Building GenAI Models with Amazon Bedrock

Unlock Amazon Bedrock’s potential for GenAI. Learn core concepts, model design, project evaluation, and innovative GenAI business application development.

  • Skill level

    Intermediate
  • Time to complete

    Approx. 1 hour
  • Certificate of completion

    Yes

About this course

Dive deep into the world of Amazon Bedrock and examine its applications in generative artificial intelligence (GenAI) development. Starting with the core concepts, this course takes you on a comprehensive journey through the various ways Amazon Bedrock can be applied and the inherent benefits of using it for generative AI development. You will explore the Bedrock console and playgrounds and learn how to design and develop different generative AI models. Then you will focus on evaluating a generative AI project. Finally, you will design a business application using Bedrock and investigate the platform's strengths and weaknesses. At the end of the course, you will be equipped with the skills to design innovative business applications and develop new generative AI models using Amazon Bedrock.

Learning objectives

  • Discover the key concepts covered in this course
  • Describe amazon bedrock
  • Identify different ways that amazon bedrock can be used to develop generative artificial intelligence (genai) models

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.  

If you’re looking for a way to get started with cloud technology, we recently launched a collection of free cloud courses. These courses provide you with foundational knowledge in core cloud providers including Microsoft Azure, Amazon Web Services, Google Cloud, and CompTIA Cloud Essentials+. With these cloud courses, you have the option to dive in and explore for free before committing to a cloud certification program. They’re also an excellent way to complement the in-demand AI and coding skills that you’re already learning. 

Ahead, we’ll break down the relationship between cloud computing and AI with insight from Michael Shannon, a Senior Analyst in Tech and Dev at Skillsoft, who developed the curriculum for many of our cloud courses.  

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Unlock additional features with a paid plan

  • Portfolio projects

    Create professional projects you can share with recruiters to showcase your skills and experience.
  • Job-readiness checker

    Evaluate how well you meet the requirements for any job description based on your skills and experience.
  • Certificate of completion

    Earn a document you can share with your network to prove that you’ve completed this course.