Seminar: Prototyping Entrepreneurial Ideas in New Technologies: AI

General Information

Title	Prototyping Entrepreneurial Ideas in New Technologies: AI
Number	MGT001341S
Type	Seminar
Offered in	Winter semester
Lecturer	Bastian Burger, Hana Milanov
ECTS	6
TUM Online	link

Course Description

Content

The Prototyping Entrepreneurial Ideas for Artificial Intelligence is a practical transformative journey into entrepreneurship with cutting edge technology. In a combination of lectures, work sessions and real-world feedback, you will find and develop a business idea into a pitch deck for a startup enterprise. The goal of this course is to enable the students to start their companies in the field of artificial intelligence and have the necessary tools to run and develop them successfully.
This course equips you with the skills to ideate, validate, and launch products swiftly and efficiently, leveraging cutting-edge AI and low-code technologies. Through a blend of theoretical insights and hands-on applications, you will master the Build-Measure-Learn cycle, AI-aided validation processes, and low-code development. By the end of the course, you will be adept at creating robust prototypes and MVPs, navigating the intricacies of startup ideation and incubation phases, and setting up scalable products.
This course emphasizes practical learning through real-world applications, ensuring you leave with actionable knowledge. Whether it's using AI for complex workflows, advanced prompt engineering, or developing AI apps from scratch, you will gain invaluable experience in integrating AI into product management. Perfect for aspiring product managers, entrepreneurs, and innovators, this course lays a strong foundation for harnessing technology in driving innovation and value creation.
This course is for you if you want to get serious about starting your own high-tech company or bringing an idea to life and require some help to get started in a group of driven students.

During 3 intensive months, you will find yourself in founder teams and run through the stages of finding a problem space, building a solution and testing it in the market. You will be using AI to support you in these steps and create an AI product in the end. At the end of the course, you will have a validated product that you can market and build a company around.

This course is not for you if you want to stay in the ivory tower. You are expected to build a real product, talk to real customers, get real LoIs and start real pilots. The final presentations will be a pitch in front of real VCs that will offer you real money if they believe in your team and your idea.

If you want to get serious about entrepreneurship, about building with Artificial Intelligence, both business and techies, you are welcome to join. If you are already fidgeting with a first idea or prototype or already have a team, sign them up and let's get going.

Previous Knowledge Expected

To maximize your learning experience, it's essential to have a basic understanding of product management and a fundamental grasp of artificial intelligence concepts. Prior to the course, students are encouraged to familiarize themselves with key frameworks in product development, such as the Build-Measure-Learn cycle, and basic AI tools. Engaging with introductory materials on low-code platforms and generative AI will provide a solid foundation for the practical aspects of the course. Additionally, students should prepare by exploring case studies of successful product launches, focusing on the role of technology in their development and execution.
Also, we expect the students to think about their entrepreneurial goals and interesting problem spaces to work with in the first sessions.

We will provide a reading package prior to the course for the students to come prepared.

Objective

Upon completing this course, students will be able to: (1) Generate innovative product ideas and validate them using AI-driven methodologies; (2) Develop and deploy low-code prototypes and MVPs, demonstrating a strong command of rapid product iteration; (3) Utilize AI tools for market analysis, predictive analytics, and enhancing product features; (4) Effectively manage the product lifecycle from ideation to market launch, incorporating growth strategies; and (5) Critically evaluate and apply AI technologies in various business contexts to drive innovation and efficiency.

Teaching and Learning Method

Action-oriented learning, interactive teaching, group project, group discussions

Requirements

Fluency in English