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Earn a shareable career certificate from Amazon Web Services
There are 3 modules in this course
Supercharge your AI knowledge into practical solutions in this hands-on course. Learn to use generative AI applications to grow your expertise and create real-world solutions, regardless of your professional background. The course emphasizes practical application development, exploring AI agents, cost considerations, and API interactions. You'll learn how to progress from proof-of-concept to minimum viable product, understand when to use custom models, and learn best practices for privacy and governance. The course concludes with practical guidance on implementing AI solutions responsibly and scaling them effectively.
In this module, you are introduced to the transformative potential of generative AI and how it can be used to bring ideas to life. Through inspiring real-world examples and foundational knowledge, you learn that AI is not just for developers—anyone can harness its power to improve productivity, automate tasks, or innovate.
What's included
3 videos1 reading2 assignments
Show info about module content
3 videos•Total 13 minutes
Welcome to the Course•3 minutes
Let’s talk about some AIdeas!•4 minutes
How can I use Gen AI to help bring ideas to life?•6 minutes
1 reading•Total 2 minutes
Course Roadmap•2 minutes
2 assignments•Total 45 minutes
Module 1 Quiz•15 minutes
Exploring Generative AI in Action•30 minutes
Module 2: Learning about AI Products
Module 2•1 hour to complete
Module details
In this module, you learn how to use generative AI tools and AWS services—such as Amazon Q Developer and PartyRock—to turn ideas into functional prototypes, regardless of coding experience. You explore key technical concepts such as functions and APIs, while understanding how to manage AI-related costs effectively. Through demos, discussions, and real-world inspiration, you gain the confidence to start building and scaling AI-powered solutions.
What's included
5 videos2 readings1 assignment
Show info about module content
5 videos•Total 34 minutes
How much coding knowledge suffices to create a POC?•6 minutes
Amazon Q Developer: A friendly helper at your service•11 minutes
The Basics of Functions and APIs•5 minutes
Understanding AI Costs•7 minutes
Tech Talk: Using Gen AI to transform ideas into reality•6 minutes
2 readings•Total 25 minutes
Amazon Q Developer integrations in your computer•10 minutes
AWS Pricing Pages Links•15 minutes
1 assignment•Total 20 minutes
Module 2 Quiz•20 minutes
Module 3: Maturing Ideas Into Business
Module 3•3 hours to complete
Module details
In this final module, you explore how to mature generative AI ideas into real-world products and businesses by addressing advanced topics such as custom models, compliance, and monetization strategies. Additionally, you practice responsible AI principles with Amazon Bedrock Guardrails. The module wraps up with real-world demos and inspiration to help you move from proof of concept to product launch.
What's included
6 videos3 readings1 assignment1 app item1 plugin
Show info about module content
6 videos•Total 31 minutes
Module 3 Introduction•2 minutes
When is it time to use custom models?•6 minutes
Privacy, Governance, and Compliance for Gen AI Applications•6 minutes
Bringing an Idea to Life with Amazon Q Developer•6 minutes
Maturing Ideas into Real Life Products•8 minutes
Course/Series Recap and Next Steps•3 minutes
3 readings•Total 41 minutes
Responsible AI•25 minutes
Course 3 Glossary•15 minutes
Post Course Survey•1 minute
1 assignment•Total 40 minutes
Module 3 Final Assessment•40 minutes
1 app item•Total 60 minutes
Lab 3: Securing AI with Amazon Bedrock Guardrails•60 minutes
1 plugin•Total 15 minutes
Post Course Survey•15 minutes
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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 subscribe to this Certificate?
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.