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AWS Services for AI Solutions

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AWS Services for AI Solutions

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Gain insight into a topic and learn the fundamentals.
4.6

24 reviews

Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.6

24 reviews

Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Amazon Bedrock

  • Foundation Models

  • AI Architecture Design

  • AWS AI Integration

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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

Accelerate your AI expertise by diving deep into AWS AI services and solution architecture. This course guides you through evaluating and implementing AWS AI services for tasks ranging from generative AI to computer vision. You'll experiment with generative AI on Amazon Bedrock, learn prompt engineering techniques, and learn how AI agents can automate workflows. The course emphasizes practical application, teaching you to design effective AI architectures and integrate various AWS services for storage, databases, data processing, and security. Through hands-on labs, you'll learn to make solid decisions about AI implementation and develop the skills to architect AI solutions.

In this module, you explore the fundamentals of artificial intelligence (AI) and how AWS makes AI adoption easier through pre-trained services. You gain insight into real-world applications of AI and learn about AWS purpose-built tools for language processing, computer vision, generative AI, and more. Through hands-on examples and guided explanations, you understand how to start using these services and apply them across various business needs.

What's included

6 videos3 readings1 assignment

6 videos•Total 28 minutes
  • Welcome to the Course•4 minutes
  • AI Fundamentals and AWS Services•3 minutes
  • Purpose-built AI Services on AWS and their Categories•5 minutes
  • Further Exploring Amazon Q•6 minutes
  • Computer Vision with Amazon Rekognition•4 minutes
  • Text Analysis with Amazon Comprehend•7 minutes
3 readings•Total 35 minutes
  • Course Roadmap•5 minutes
  • A Guide to Amazon Q Products•15 minutes
  • Overview of AWS AI Services•15 minutes
1 assignment•Total 20 minutes
  • Module 1 Quiz•20 minutes

In this module, you learn how to innovate with generative AI using Amazon Bedrock by exploring prompt engineering, model customization, and task automation. You gain hands-on experience crafting effective prompts and tuning model parameters to optimize AI output. The module also introduces AI agents and outlines how to automate complex tasks using Bedrock’s advanced capabilities.

What's included

4 videos3 readings1 assignment1 app item

4 videos•Total 24 minutes
  • Welcome to Module 2•2 minutes
  • Prompt Engineering Essentials•8 minutes
  • Amazon Bedrock Custom Models Demo•8 minutes
  • Amazon Bedrock Parameter Tuning Demo•6 minutes
3 readings•Total 50 minutes
  • Overview of FMs on Amazon Bedrock•10 minutes
  • Prompt Engineering Best Practices•20 minutes
  • Automating Tasks with AI Agents•20 minutes
1 assignment•Total 20 minutes
  • Module 2 Quiz•20 minutes
1 app item•Total 60 minutes
  • Lab 2: Practicing Prompt Engineering Methods•60 minutes

In this module, you explore the key considerations involved in designing and deploying effective AI solutions on AWS. You learn when to use pre-built AI services versus building custom models, and how to optimize cost, performance, and infrastructure. The module also covers the importance of high-quality data, AWS data services, and best practices for architecting scalable and sustainable AI systems.

What's included

6 videos4 readings2 assignments1 plugin

6 videos•Total 29 minutes
  • Introduction to Module 3•2 minutes
  • Considerations for Corporate AI solutions•5 minutes
  • Data Services for AI Solutions•7 minutes
  • Architecting AI Solutions•4 minutes
  • Tech Talk: AI Architecting Best Practices•9 minutes
  • Course Closing•3 minutes
4 readings•Total 41 minutes
  • Data Foundations•15 minutes
  • Additional Resources•10 minutes
  • Course 2 Glossary •15 minutes
  • Post Course Survey•1 minute
2 assignments•Total 70 minutes
  • Optimizing AI Workloads on AWS•30 minutes
  • Final Assessment•40 minutes
1 plugin•Total 15 minutes
  • Post Course Survey•15 minutes

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Instructors

Instructor ratings
4.7 (6 ratings)
Amazon Web Services
16 Courses•112,088 learners

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Showing 3 of 24

GT
·

Reviewed on Jul 2, 2025

Oksana is just a wonderful person, I really enjoyed her speech

JT
·

Reviewed on Oct 24, 2025

You have got some very good stuff. Just organize the courses a little better - longer and more structured on the core services and less of an encyclopedia of everything you have got.

Frequently asked questions

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.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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