Amazon Web Services
AI Fundamentals and the Cloud
Amazon Web Services

AI Fundamentals and the Cloud

Alex G.
Oksana Hoeckele
Rafael Lopes

Instructors: Alex G.

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • AWS Services

  • Responsible AI

  • Business Applications

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

May 2025

Assessments

4 assignments

Taught in English

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Build your Cloud Computing expertise

This course is part of the AWS Generative AI Applications Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Amazon Web Services

There are 3 modules in this course

This module introduces AI and focuses on how to use it responsibly. You learn about the differences between Large Language Models (LLMs) and Foundation Models (FMs), including private and public models. Along the way, you discover how AI works, how it's trained on data, and the basics of machine learning. Additional topics include the impact of AI on privacy, fairness, decision-making, and prompt engineering.

What's included

7 videos2 readings1 assignment1 discussion prompt

This module walks you through getting started with PartyRock. This service is able to handle much more than just text prompts, and you get a chance to see this in action. You view a demo of PartyRock, showcasing how to use chat prompts, generate images, and create widgets or applications. There’s also a hands-on exercise where you build an application using PartyRock.

What's included

4 videos1 reading2 assignments

This module covers several Amazon AI tools. You learn about Amazon Bedrock and how it helps developers build and scale generative AI applications. Next, you explore Amazon Q Developer and Amazon Q Business, and how they can be used to create and solve business challenges. Finally, you dive into Amazon SageMaker AI, learning how it can help data scientists deploy machine learning models at scale.

What's included

6 videos2 readings1 assignment1 app item1 plugin

Earn a career certificate

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Instructors

Alex G.
Amazon Web Services
12 Courses70,975 learners

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