AI Fundamentals and the Cloud
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AI Fundamentals and the Cloud
This course is part of AWS Generative AI Applications Professional Certificate
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What you'll learn
AWS Services
Responsible AI
Business Applications
Skills you'll gain
Details to know
See how employees at top companies are mastering in-demand skills
Build your Cloud Computing expertise
- 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
7 videos•Total 33 minutes
- Welcome to the Course•4 minutes
- Introduction to AI•6 minutes
- AI and the Data•3 minutes
- LLMs and FMs•6 minutes
- Responsible AI•6 minutes
- Prompt Engineering•6 minutes
- Module 1 Wrap Up•3 minutes
2 readings•Total 20 minutes
- Course Roadmap•5 minutes
- Responsible AI•15 minutes
1 assignment•Total 15 minutes
- Module 1 Quiz•15 minutes
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
4 videos•Total 15 minutes
- Module 2 Introduction•1 minute
- PartyRock•3 minutes
- PartyRock Demo•6 minutes
- Tech Talk: PartyRock, a Bedrock Playground•4 minutes
1 reading•Total 15 minutes
- AI Chat Bots and Work•15 minutes
2 assignments•Total 80 minutes
- PartyRock Hands-On Exercise•60 minutes
- Module 2 Quiz•20 minutes
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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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 Jun 27, 2025
I have gained a lot of skills through these courses. Well design and presented in a simpler format.
Reviewed on Jan 30, 2026
Instructions/workarounds can be provided on navigating certain access issues during labs
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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