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
IntermediateTime to complete
Approx. 1 hourCertificate 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
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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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.