AI Fundamentals and the Cloud

AI Fundamentals and the Cloud

This course is part of AWS Generative AI Applications Professional Certificate

Instructors: Oksana Hoeckele

Access provided by SGCSRC

10,913 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

82 reviews

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

82 reviews

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

AWS Services
Responsible AI
Business Applications

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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

Begin your AI journey by understanding fundamental concepts and ethical considerations of artificial intelligence in the cloud. This course introduces you to AI technology, focusing on how different models work and their practical applications. You'll learn to distinguish between Large Language Models (LLMs) and Foundation Models (FMs), understand responsible AI practices, and gain hands-on experience with Amazon PartyRock. Through practical exercises and real-world examples, you'll develop essential prompt engineering skills and learn how AI can enhance productivity across various job roles. The course concludes with an exploration of key AWS AI services, including Amazon Bedrock, Q Developer, Q Business, and SageMaker, providing you with a solid foundation for AI solution development.

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 assignment

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

6 videos Total 33 minutes

Module 3 Introduction 3 minutes
Amazon Bedrock Demo 7 minutes
Amazon Q Developer 6 minutes
Amazon Q Business 4 minutes
Amazon Sagemaker AI 9 minutes
Course Wrap Up 3 minutes

2 readings Total 16 minutes

Course 1 Glossary 15 minutes
Post Course Survey 1 minute

1 assignment Total 30 minutes

Module 3 Final Assessment 30 minutes

1 app item Total 60 minutes

Lab: Introduction to the Amazon Bedrock Console 60 minutes

1 plugin Total 15 minutes

Post Course Survey 15 minutes

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Instructors

Instructor ratings

(28 ratings)

Oksana Hoeckele

Amazon Web Services

13 Courses 33,945 learners

Offered by

Amazon Web Services

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Reviewed on Oct 16, 2025

The only thing keep this from being yet another excellent AWS offering are disconnects between the Lab Instructions and the Current State of the AWS Management Console

Reviewed on Jan 30, 2026

Instructions/workarounds can be provided on navigating certain access issues during labs

Reviewed on Jun 27, 2025

I have gained a lot of skills through these courses. Well design and presented in a simpler format.

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