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Technologies of Deep Tech Startups Development
Deep Tech startups are not just building products. They are creating the future.
Introduction
"The only way to do great work is to love what you do."
Steve Jobs
Initial Assessment Test
To begin the course, please complete the initial assessment test.
Take Test
Before starting your startup, it's a good idea to familiarize yourself with the latest trends and insights in the agrifood sector. This will help you build a strong base for your innovative ideas.
Global Food Trends 2024
Watch this video by Professor Nazar Podolchak from Lviv Polytechnic National University about current trends in the food sector. After viewing, reflect on these trends and how they could influence your startup ideas.
AgriTech Revolution: Transforming Modern Agriculture
View this video for insights into how technology is transforming modern agriculture. Think about applying these innovations to your startup.
Now you can proceed to the first section of our course on Technologies of Deep Tech Startups Development.
Good luck, and enjoy the learning journey!
Section 1: Idea Generation
"A startup, where mistakes were made from the very beginning cannot be corrected. That is why a properly organized framework for developing ideas is extremely important".
Peter Thiel

Module 1. Is your idea good enough?

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Module 2. How do technologies provide insights on where to start?

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Module 3. Creation of User Personas

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Home Work

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It's better to spend more time at the beginning to figure out the proper idea that you and your team can solve, rather than chase some fancy idea and fail.
Section 2: Prototyping and Product Development

Module 4. Beginning with prototyping rather than immediate implementation

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Module 5. Understanding product development

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Module 6. Mastering Value Proposition and Business Model of your startup

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Module 7. You need to know your competitors

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Home Work

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Section 3: Agile Methodology and Team Building

Module 8. Agile vs. Waterfall

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Module 9. Scrum framework

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Module 10. Startup Team

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Home Work

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Section 4: Market Analysis for Startups

Module 11. An early-stage startup: should you research the market?

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Module 12. How is a market analysis for a start-up performed in practice?

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Home Work

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Section 5: Marketing Strategies for Startup Success

Module 13. Marketing Strategies for Startups: Theory and Practice

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You have developed your product or service. You have done all the work involved in actually starting the business. Now is the time to get the word out about what you have to offer and start attracting customers. You can't do this without a digital marketing strategy! Without a strong digital strategy designed specifically for your business, you will face mixed results.

Module 14. Digital Marketing Strategies for Startups

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Home Work

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Section 6: Sources of Funding for Startups

Module 15. Sources of fundings for startups

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What is Business Plan for startups?

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Grant applications

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Home Work

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Section 7: Basics of Finance for Startups
As you have already explored the various avenues available for raising funds for your startup, you may now find yourself facing a new set of critical questions: How do you manage these finances effectively? What are the best practices for handling bank loans, and other forms of financial inflow?

Module 16. Startup finance fundamentals

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Module 17. A closer look at banks and crowdfunding for startups

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Home Work

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Section 8: Powerful Presentations
"You only get that out of life, what you dare to ask. Don't be afraid to raise the bar".
Oprah Winfreyand

Module 18. Strategic Presentations

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Module 19. Live Presentations

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Pitfalls of your presentation

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Home Work

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Section 9: AI for Improving the Quality of Food Production
Let's say you already have a product in the food sector. It might not have started out with deep tech in mind, but now you are looking at what AI can do for you. In this section, we will walk you through how artificial intelligence has grown from an idea into a real tool that is changing industries, including food production. We will start with the basics of how neural networks have shaped data analysis and go on to show you some of the main AI tools you can use, like ChatGPT, Midjourney, Kaiber, and ElevenLabs. We will explore practical ways AI can make your food products better and dig into how to kick-start projects using neural networks and AI to give your product that latest advantage.

The basics of Artificial Intelligence

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The history, concepts and “Myths”

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AI in and for the agriculture industry

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Final Test
Throughout this course, you have not only learned valuable theories but also put them into practice by developing or improving your own startup. As you approach the end, it’s time to bring together your practical experience and theoretical knowledge in a final test.
Successfully passing this test will grant you a certificate, signifying your understanding and hands-on application of the startup development principles. However, it's important to understand that the most valuable outcome is the actual product you have developed throughout this course. Apply everything you have learned, demonstrate the progress of your startup, and earn the certification that will mark a significant milestone in your entrepreneurial journey.
Make sure you enter your email correctly when you take the test. Look out for your certificate—it will be in your inbox soon after you complete the test!
Trainers of the course
Oleksandra Mrykhina
Dr. Econ. Sc, Professor at the Department of Business Economics and Investment at Lviv Polytechnic National University.
Yana Levytska
PhD. in Administrative and Public Management, Lecturer at Lviv Polytechnic National University, Project Manager at Lviv Tech StartUp School.
Mariia Rysin
PhD. in Economics and Finance, Associate Professor of the Department of Theoretical and Applied Economics at Lviv Polytechnic National University.
Zenoviy Veres
Senior Solutions Architect, PhD in Artificial Intelligence, Lecturer at Lviv Polytechnic National University, Head of the Educational Committee of Lviv IT Cluster.
Nazar Podolchak
Dr. Econ. Sc, Professor, Head of the Department of Administrative and Financial Management of Lviv Polytechnic National University. Director of the Scientific Park LPNU.
Yaroslav Klochnyk
Application Architect, Lecturer of the Internet of Things program at Lviv Polytechnic National University.
Contact Us
Have questions or want to learn more about our Technologies of Deep Tech Startups Development Course? Our team is here to assist you. Reach out to us through our email and we will be happy to provide more information and answer any inquiries you may have.