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.
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1 Lektüre
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1 Lektüre•Insgesamt 2 Minuten
Welcome to the course•2 Minuten
Exploring Amazon Nova Lite Model for Multimodal Understanding
Modul 2•1 Stunde abzuschließen
Moduldetails
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 App-Element
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1 App-Element•Insgesamt 60 Minuten
Exploring Amazon Nova Lite Model for Multimodal Understanding•60 Minuten
Introduction to the Amazon Bedrock Console
Modul 3•1 Stunde abzuschließen
Moduldetails
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 App-Element
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1 App-Element•Insgesamt 60 Minuten
Introduction to the Amazon Bedrock Console•60 Minuten
Exploring the Amazon Nova Micro Model for Text Generation
Modul 4•1 Stunde abzuschließen
Moduldetails
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 App-Element
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1 App-Element•Insgesamt 60 Minuten
Exploring the Amazon Nova Micro Model for Text Generation•60 Minuten
Explore Foundation Models and Prompt Engineering
Modul 5•1 Stunde abzuschließen
Moduldetails
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 App-Element
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1 App-Element•Insgesamt 60 Minuten
Explore Foundation Models and Prompt Engineering•60 Minuten
Build Machine Learning Models with Amazon SageMaker
Modul 6•1 Stunde abzuschließen
Moduldetails
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 App-Element
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1 App-Element•Insgesamt 60 Minuten
Build Machine Learning Models with Amazon SageMaker•60 Minuten
Re-imagine Developer Experience Using Amazon Q Developer
Modul 7•1 Stunde abzuschließen
Moduldetails
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 App-Element
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1 App-Element•Insgesamt 60 Minuten
Re-imagine Developer Experience Using Amazon Q Developer•60 Minuten
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs.
Coursera and AWS have been partners since 2017 providing learners and enterprises globally, the skills they need to succeed. Coursera builds on AWS servers to scale with student demand with confidence around capacity and elasticity and in partnership with AWS. In 2019, Coursera achieved Advanced Tier Partner status and further extended the partnership with AWS Educate, AWS EdStart and AWS Academy collaborations.
Coursera's been able to make cloud skills more accessible with 8 AWS courses on the Coursera platform featuring top subject matter experts and the portfolio continues to grow.
To learn more about AWS, visit https://aws.amazon.com.
When will I have access to the lectures and assignments?
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.
What will I get if I purchase the Certificate?
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.
Is financial aid available?
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.