Amazon Web Services
AWS Generative AI Lab Series

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Amazon Web Services

AWS Generative AI Lab Series

AWS Instructor

Instructor: AWS Instructor

Included with Coursera Plus

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

Recommended experience

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

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Implement and optimize foundation models for text, image, and video processing

  • Learn prompt engineering techniques across different AI models

  • Develop applications using Amazon Bedrock and Q Developer

  • Build and deploy machine learning models with Amazon SageMaker

Details to know

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Recently updated!

December 2025

Taught in English

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There are 7 modules in this course

Welcome to this comprehensive hands-on learning journey into AWS Generative AI services. This program is designed to give you practical experience with cutting-edge AI technologies through six carefully structured labs. Whether you're new to AI or looking to expand your cloud computing skills, these labs will provide you with the foundational knowledge and hands-on practice needed to work with AWS's AI services.

What's included

1 reading

In this lab, you explore how Amazon Nova Lite processes text, images, and video inputs to generate insights rapidly, making it ideal for real-time content analysis and understanding in photography workflows.

What's included

1 app item

In this lab, you gain hands-on experience with enabling access to LLMs, testing models with basic prompts, adjusting model parameters, generating AI images, and exploring provided examples within the Amazon Bedrock console.

What's included

1 app item

In this lab, you explore Amazon Nova Micro's text generation capabilities to create business content including slogans, project plans, and structured product recommendations.

What's included

1 app item

This lab provides hands-on experience to LLMs, testing models with prompts, adjusting model parameters and exploring within the Amazon Bedrock platform.

What's included

1 app item

In this lab, you learn to use Amazon SageMaker by setting up your development environment and exploring the Studio interface. You then build and run a linear regression model using Python and scikit-learn.

What's included

1 app item

In this lab you will learn to understand, develop, fix and optimize the application code using the generative AI capabilities provided by Amazon Q Developer.

What's included

1 app item

Instructor

AWS Instructor
Amazon Web Services
155 Courses224,652 learners

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