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.


您将学到什么
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
您将获得的技能
要了解的详细信息

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December 2025
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该课程共有7个模块
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.
涵盖的内容
1篇阅读材料
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.
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1个应用程序项目
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.
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1个应用程序项目
In this lab, you explore Amazon Nova Micro's text generation capabilities to create business content including slogans, project plans, and structured product recommendations.
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1个应用程序项目
This lab provides hands-on experience to LLMs, testing models with prompts, adjusting model parameters and exploring within the Amazon Bedrock platform.
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1个应用程序项目
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.
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1个应用程序项目
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.
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1个应用程序项目
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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.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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.
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