Learn about Co.Lab
Learn about YES
Learn about App Development

Gain Real-World Experience

The Co.Lab App Development program provides an hands-on overview of AI-Guided or No-Code product discovery, strategy, and development. Learners leverage AI and Leverage no-code tools to generate product ideas, user interfaces, and workflows. They follow a step-by-step approach to building their product and launch their MVP.

The YES program is a collaboration between Co.Lab and CHNGE MKER INNOVATION HUB. It is
an opportunity that helps youth build their own tech start-ups based on an
entrepreneurship idea. They get hands-on training, mentorship, and support as they build their MVP!
Throughout 6 weeks, students get to define a product vision, perform user research, validate their assumptions and document their findings into a product requirement document, as well as leverage Replit to build an MVP.

The Co.Lab AI PM program provides an hands-on overview of AI Product Management discovery and strategy. Learners get to explore the problem identification to deployment, go-to-market strategy, and post-launch iteration - impressing employers and stakeholders. Throughout 6-weeks, students get to define a product vision, perform user research, validate their assumptions and document their findings into a product requirement document to create a Product Manager Portfolio. All done with the support of top industry mentors from companies like Apple, Amazon, Google, and more.

EXplore PROgram tracks
CONGRATULATIONS

Rose-Ann Sanford

for completing the
DTTPPM
cohort as a
Product Manager
  • AI and no-code tools
    Foundations of User Research
  • Real shipped MVP
  • Product discovery and research
    Product discovery and research
  • Build components
    Build components
  • Product testing
    Product testing
  • User stories and acceptance criteria
  • Foundations of user research
  • Product documentation
  • Spec writing
  • Fundamentals of Product Management
  • Product management fundamentals
  • Foundations of user research
  • Product documentation for an AI solution
  • Spec writing
  • Develop a prototype