Building a Generative AI startup

3 Weeks


Cohort-based Course

Deep dive into crafting Generative AI startups, all the needed AI tech concepts & crack them with startup case studies

University of Cambridge
Dassault Systèmes

Course overview

Learn and build your own Generative AI startup/product from proven principles

Explore the cutting-edge power of generative AI technology needed to build AI first startup or zero-to-one AI product, foster innovative concepts, build competitive edge and uncover invaluable insights previously unattainable. 

The curriculum leads you through a comprehensive learning journey, starting from the fundamental principles of generative AI to delving into advanced concepts such as Transformers, GANs, Large Vision Models, RLHF, RAG (retrieval augmented generation), Prompting, and more.

Whether your aim is to develop a groundbreaking AI startup, zero to one product or cultivating an AI first approach in your Enterprise, this course furnishes you with the essential knowledge and expertise for success. Moreover, it offers practical hands-on startup case studies and exercises, replicating intricate real-world scenarios.

Besides the live classes, you'll also get one-on-one sessions and office hours which means you'll get personalised help for your generative AI startup or product.

The instructor has been working on generative AI solutions since 2017, way before the Gen AI trend started. This class shares the experience and learnings so you can leverage it for your startup or AI product.

You will enjoy continuous access to all materials, including recorded live sessions to revisit and practice at your own convenience.

Who is this course for


Entrepreneurs and business owners looking to embrace Generative AI in their startup or building a new one.


Aspiring AI Product Managers to uplevel their to develop and manage AI products


Innovation Leaders/Venture Capitalists who leverage Generative AI startups in their innovation portfolio

What you’ll get out of this course

AI to Tackle Real-World problems

Get ready for a hands-on journey diving into AI startup cases and crafting strategies that deliver outcomes.

Bring Your AI Prototypes and Proof of Concepts and scale to a real startup

Create your first AI prototypes—even if you're new to coding, we've got you covered.

Become an AI thought leader

Deep understanding of the latest AI technologies and their applications in solving customer problems with real world constraints.

Decipher the business of AI

Learn techniques to sift through the noise, assess trade-offs and decisions when it comes to building AI products and strategy.

Delve into the technical side of AI

Learn foundation models, multi modality, LLMs, LVMs, AI agents, code and train models yourself.

This course includes

Interactive live sessions

Lifetime access to course materials

20 in-depth lessons

Direct access to instructor

6 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Post-Course


    • Day 5 : Product Development

    • Day 6 :  Innovate and scale your AI startup/product

    • Day 3 : Thinking about a Gen AI startup

    • Day 4 : Advanced topics in AI

Meet your instructor

Muzahid Hussain

Muzahid Hussain

Muzahid is an AI product builder with more than 12 years of experience in innovative AI products from building self-driving cars to CGI/ Graphics Engines and worked on Generative AI since 2017. He has recently built his own Generative AI startup in Ecommerce. Previously, Muzahid has worked at Audi Autonomous Driving, Dassault Systems and Fraunhofer Research Labs. He has studied Entrepreneurship from University of Cambridge and holds Masters in Computer Science with a major in Machine Learning. 

He has extensively been involved in AI driven corporate innovation, setting up think tank teams, startup scouting, and built an intrapreneur & open innovation ecosystem.

Besides strong AI business acumen, he has spent many years in building technology and designed software systems, machine learning architecture and advanced  algorithm optimisation with scaling AI technology.

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Course schedule

4-6 hours per week
  • Tuesdays & Thursdays

    1:00pm - 2:00pm EST

    If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

  • May 7, 2022

    Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

  • Weekly projects

    2 hours per week

    Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
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