Welcome to our Coursera course on contemporary digital product development! Throughout this course, you'll gain invaluable insights into the inner workings of digital product development. Drawing from the extensive expertise of Digital Product School (DPS), which has guided hundreds of cross-functional teams in creating successful products from inception to delivery, you'll explore methodologies and strategies proven by reality instead of fancy books. This course has been curated in collaboration with Amazon Web Services (AWS).
Our journey begins by examining the foundational principles that have empowered our product teams to find ideas and transform them into tangible, market-ready products within 12 weeks.
Additionally, you'll delve into generative AI, understanding its significance, risks, and benefits in the business context. Gain practical experience using Amazon Bedrock and Lex to create innovative AI applications and conversational interfaces.
The course also covers the machine learning lifecycle, where you'll master critical aspects such as model sourcing, performance evaluation, and MLOps practices.
By the end of this course, you'll have a comprehensive understanding of digital product development and the confidence to apply your skills in real-world scenarios. Join us to unlock the secrets to successful product creation and enhance your expertise in the digital domain!
This module introduces you to the basics of digital product development from scratch. You will also learn the underlying mindsets that drive modern user-centred product development. You will understand how to find and define a problem space, why problem spaces are a good starting point, and what they can look like.
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5个视频3篇阅读材料4个作业
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5个视频•总计46分钟
Course Introduction Video•7分钟
Introduction to the Technical University of Munich •3分钟
The 3 Mindsets Of User-Centered Product Development•11分钟
How To Find a Problem Space•15分钟
How To Reach Out To Potential Users•9分钟
3篇阅读材料•总计23分钟
Before You Begin•3分钟
Course Set-Up and Grading•10分钟
Discussion: Introduce Yourself•10分钟
4个作业•总计135分钟
Introduction To Digital Product Development•45分钟
The 3 Mindsets Of User-Centered Product Development•30分钟
How To Find a Problem Space•30分钟
How To Reach Out To Potential Users•30分钟
How To Find a Problem Worth Solving
第 2 单元•小时 后完成
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Module 2 enables you to find potential users and how to approach them to understand their problems and pains. You can put your findings about your users into order to tackle their pain points and create a setup that makes you ready to build solutions.
涵盖的内容
3个视频3个作业1个讨论话题
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3个视频•总计37分钟
How To Prepare And Run Problem Interviews•18分钟
Problem Interview Exercise•11分钟
How To Decide Which Pain Point To Solve•7分钟
3个作业•总计105分钟
How To Find a Problem Worth Solving•45分钟
How To Prepare And Run Problem Interviews•30分钟
How To Decide Which Pain Point To Solve•30分钟
1个讨论话题•总计10分钟
Upload your notes •10分钟
How To Find An Innovative Solution
第 3 单元•小时 后完成
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This module will lead you to solutions that solve real user pain points. You will also learn how to validate your ideas and the connected risks through experiments. You will also be introduced to the concept of the Minimum Viable Product (MVP).
涵盖的内容
3个视频4个作业1个讨论话题
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3个视频•总计44分钟
How to Generate Innovative Ideas From a Pain Point•21分钟
How To Examine Risks In Your Idea Through Experiments•6分钟
How To Learn While Serving Customers With An MVP•17分钟
4个作业•总计180分钟
How To Find An Innovative Solution•45分钟
How to Generate Innovative Ideas From a Pain Point•45分钟
How To Examine Risks In Your Idea Through Experiments•45分钟
How To Learn While Serving Customers With An MVP•45分钟
1个讨论话题•总计10分钟
Upload Your Notes•10分钟
AWS Introduction to Generative AI - Art of the Possible
第 4 单元•小时 后完成
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3篇阅读材料3个作业
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3篇阅读材料•总计180分钟
Introduction to Generative AI - Art of the Possible•60分钟
Planning a Generative AI Project•60分钟
Exploring Artificial Intelligence Use Cases and Applications•60分钟
3个作业•总计3分钟
Self-reflective quiz•1分钟
Self-reflective quiz•1分钟
Self-reflective quiz•1分钟
Building Solutions with AWS & Generative AI - Core Services
第 5 单元•小时 后完成
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1个视频4篇阅读材料4个作业
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1个视频•总计10分钟
Learn To Create Generative AI Apps with PartyRock – It’s Party Time!•10分钟
4篇阅读材料•总计240分钟
Developing Generative AI Solutions•60分钟
Amazon Bedrock - Getting Started with Generative AI•60分钟
Amazon Lex - Getting Started•60分钟
Learn To Create Generative AI Apps with PartyRock – It’s Party Time!•60分钟
4个作业•总计4分钟
Self-reflective quiz•1分钟
Self-reflective quiz•1分钟
Self-reflective quiz•1分钟
Self-reflective quiz•1分钟
Introduction to Machine Learning on AWS
第 6 单元•小时 后完成
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1篇阅读材料1个作业
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1篇阅读材料•总计60分钟
Developing Machine Learning Solutions•60分钟
1个作业•总计1分钟
Self-reflective quiz•1分钟
Course Closure and your next steps!
第 7 单元•20分钟 后完成
单元详情
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2篇阅读材料
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2篇阅读材料•总计20分钟
Congratulations! You have finished the course!•10分钟
Technical University of Munich (TUM) is one of Europe’s top universities. It is committed to excellence in research and teaching, interdisciplinary education and the active promotion of promising young scientists. The university forges strong links with companies and scientific institutions across the world. TUM was one of the first universities in Germany to be named a University of Excellence. TUM does not pass any personal data to the platform providers. If you take part in one of our MOOCs, please refer to the data protection guidelines in the terms and conditions of the provider.
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.
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Is financial aid available?
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