From Zero to Hero – Digital Product Development From Scratch
| Language: | English |
| Location: | Online |
| Duration: | Flexible, approx. 6 weeks |
| Start: | Anytime |
| Cost: | 45 EUR |
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).
Quick Info
Benefits
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Product Development From Scratch
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Proven Methodologies
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Hands-On Experience
Program Overview
Here you will find information on the aims of this course and its content.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!
Here you will find information on dates, requirements and other general conditions for the certificate program.Program:
From Zero to Hero – Digital Product Development From Scratch
Target group:
The course is intended for bachelor, master and PhD students as well as young professionals and people seeking to learn more about Digital Product Development and the basics of Generative AI.
Format & Timing:
Flexible, self-paced, approx. 5 weeks when investing 4 hours per week
Study location:
Online (Coursera)
Provider:
TUM Institute for LifeLong Learning
Dates:
The course is self-paced, enrollment is possible anytime
Language:
English
Admission requirements:
Some background knowledge on Generative AI and Machine Learning or related fields is useful, but not necessarily required.
Graduation:
After successful completion of the final exam, participants will receive a certificate from Coursera and the Technical University of Munich.
Program fees:
The program fee is 45 EUR. Access to lectures and assignments depends on your type of enrollment. If you take the course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit.
Get to know our experienced lecturers who will teach you the certificate content and with whom you will work.Vice President of Entrepreneurship, Technische Universität München
AWS Instructor
Digital Product School Team
Find out how the program is structured and what content you can expect.There are 7 modules in this course:
1. Introduction To Digital Product Development
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.
2. How To Find a Problem Worth Solving
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.
3. How To Find An Innovative Solution
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).







