AWS Cloud Practitioner 2023: ML, AI, & Data Analytics

Lower costs and gain deeper insights into data using AWS machine learning (ML) and artificial intelligence (AI) services. Explore Amazon SageMaker, Amazon Kinesis, Amazon Glue, and more.

  • Skill level

  • Time to complete

    Approx. <1 hour
  • Certificate of completion


About this course

Cloud customers can get deeper insights into their data while lowering costs with AWS machine learning (ML) and artificial intelligence (AI) services. AWS assists at every phase of the ML/AI adoption journey with the most comprehensive set of services, infrastructure, and implementation resources. Begin this course by discovering how ML and AI assist organizations like yours in generating growth and fixing challenging issues. Next, you will explore Amazon SageMaker, Amazon Lex, which is a fully managed AI service with cutting-edge natural language models, and Amazon Kendra, which can provide ML-powered instant answers and FAQs. Then you will focus on Amazon Athena, a serverless, interactive analytics solution, Amazon Kinesis, and Amazon Glue, a serverless data integration service. Finally, you will examine Amazon QuickSight and Amazon EMR, the industry-leading cloud big data solution for petabyte-scale data processing, interactive analytics, and ML. This course is one of a collection that prepares learners for the AWS Certified Cloud Practitioner (CLF-C02) exam.

Learning objectives

  • Discover the key concepts covered in this course
  • Define machine learning and artificial intelligence
  • Compare amazon sagemaker, lex, and kendra

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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What Does an AWS Developer Do?

Adam Carpenter
Jul 19, 2022

Amazon has come a long way from just selling books — and not just because it’s become a one-stop shop for everything from toilet paper to grocery deliveries. Thanks to businesses shifting operations and infrastructure to the cloud, systems and applications that used to run right down the hall in a server room are now hosted in a remote data center. One of these cloud providers is Amazon Web Services (AWS). As with all digital solutions, you need people to work with, manage, and improve them, which is where AWS developers come into play.

Read on to learn what an AWS Developer does, the skills you need to become one, the salary you can expect to earn, and how you can get closer to your AWS professional goals by learning to code.

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Unlock additional features with a paid plan

  • Portfolio projects

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  • Certificate of completion

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