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Useful Resources for AI & Entrepreneurship

A curated list of links and brief descriptions to help Master of AI students and entrepreneurship students discover valuable tools, tutorials, and inspiration.

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Table of Contents

1. Philosophy of Learning
2. Datasets & Data Platforms
3. AI Learning Resources & Tutorials
4. Entrepreneurship Resources
5. Compute Grants
6. Mainfranken Startup Ecosystem
7. Contributing
8. License

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Philosophy of Learning

Our Master program emphasizes a “building to learn” approach, recognizing that the best way to master AI and entrepreneurship is by actively creating and iterating on projects. Rather than focusing solely on theory, we believe in:

• Hands-on Exploration: Students gain deeper insights when they roll up their sleeves and experiment with real-world data, tools, and coding challenges.
• Iterative Development: Rapid prototyping and continual refinement foster adaptability and problem-solving skills.
• Collaborative Growth: Sharing progress, receiving feedback, and working alongside peers accelerates both personal and communal learning.

By encouraging students to build tangible solutions early and often, we seek to cultivate practical expertise, entrepreneurial thinking, and the confidence to innovate in an ever-changing technological landscape.

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Datasets & Data Platforms

• Kaggle
  Quick overview.

• UCI Machine Learning Repository
  Quick overview.

• Google Dataset Search
  Quick overview.

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AI Learning Resources & Tutorials

• Deep Learning Specialization (Coursera)
  Overview.

• Fast.ai Course
  Overview.

• Stanford CS230 Lectures
  Overview.

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Entrepreneurship Resources

• Video Essays YC Playlist
  A curated series of video essays offering insights on entrepreneurship and disruptive thinking.

• How to Build a Future YC Playlist
  Talks and discussions on envisioning and constructing impactful ventures.

• “Venture Mindset” by Strebulaev and Dang
  A book delving into the core principles of entrepreneurship and strategic thinking.

• Lean Startup Methodology
  A widely used framework for iterative product development, emphasizing validated learning and fast feedback loops.

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Compute Grants

• Google Cloud Research Credits
  Offers cloud credits for qualifying research projects involving AI or large-scale data processing.

• Nebius Research Compute Grants
  Provides dedicated compute resources for academic and non-commercial AI research initiatives.
  (Please note: direct link to grant application pages may vary by region or program updates.)

• AWS Activate
  Overview on how to apply, eligibility criteria, etc.

• Microsoft for Startups
  Offers Azure credits and additional mentorship programs for eligible startups and students.

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Mainfranken Startup Ecosystem

• Startup-acceleration programs
  An overview of regional startup acceleration programs curated by Würzburg Web Week.

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Contributing

1. Open this repository on GitHub;
2. Fork this repository;
3. Create a new branch for your additions;
4. Commit and push your changes;
5. Open a Pull Request.

We welcome any contributions of high-quality or educational links. Feel free to open an issue or PR if you know a useful resource!

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