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URL: https://www.coursera.org/learn/aws-generative-ai-lab-series

⇱ AWS Generative AI Lab Series | Coursera

AWS Generative AI Lab Series

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AWS Generative AI Lab Series

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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

Shareable certificate

Add to your LinkedIn profile

Taught in English

There are 7 modules in this course

Learn Generative AI with AWS through six comprehensive hands-on labs. Start with exploring multimodal understanding using Amazon Nova Lite, then dive into the Amazon Bedrock console for foundation model deployment. Advance your skills with text generation using Nova Micro and learn essential prompt engineering techniques. Experience machine learning development with SageMaker, and discover how to improve developer productivity using Amazon Q Developer. Gain the skills needed to build AI solutions in real-world scenarios.

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

1 reading•Total 2 minutes
  • Welcome to the course•2 minutes

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

1 app item•Total 60 minutes
  • Exploring Amazon Nova Lite Model for Multimodal Understanding•60 minutes

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

1 app item•Total 60 minutes
  • Introduction to the Amazon Bedrock Console•60 minutes

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

1 app item•Total 60 minutes
  • Exploring the Amazon Nova Micro Model for Text Generation•60 minutes

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

1 app item•Total 60 minutes
  • Explore Foundation Models and Prompt Engineering•60 minutes

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

1 app item•Total 60 minutes
  • Build Machine Learning Models with Amazon SageMaker•60 minutes

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

1 app item•Total 60 minutes
  • Re-imagine Developer Experience Using Amazon Q Developer•60 minutes

Instructor

Amazon Web Services
155 Courses•330,331 learners

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Frequently asked questions

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Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,