中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.
Bringing Ideas to Life Using AI
您将学到什么
AI Application Development
Business Innovation
Project Implementation
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
May 2025
作业
4 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累 Cloud Computing 领域的专业知识
本课程是 AWS Generative AI Applications 专业证书 专项课程的一部分
在注册此课程时，您还会同时注册此专业证书。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 通过 Amazon Web Services 获得可共享的职业证书
该课程共有3个模块
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.
涵盖的内容
3个视频1篇阅读材料2个作业
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.
涵盖的内容
5个视频2篇阅读材料1个作业
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.
涵盖的内容
6个视频3篇阅读材料1个作业1个应用程序项目1个讨论话题1个插件
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
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状态：免费试用University of Michigan
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人们为什么选择 Coursera 来帮助自己实现职业发展
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学生评论
4.6
22 条评论
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5
已于 Jun 21, 2025审阅
Great for learning some AWS AI Basics and AWS specific AI Tools
常见问题
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 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.
更多问题
提供助学金，