Industry Immersion Project

Through a carefully crafted curriculum that blends core theory, advanced tools, and practical problem-solving, students at Plaksha are trained to develop the skills that today’s industries urgently need and tomorrow’s industries will demand. The Industry Immersion Project connects this learning directly with organizations, creating opportunities for impactful collaboration.

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Industry Immersion Project (IIP) for companies

The Industry Immersion Project (IIP) is a five-month engagement where Master of Science in AI students at Plaksha collaborate with companies to solve real-world business and digital transformation challenges using AI. By sponsoring a project, your organization works with a dedicated student team, guided by faculty and industry mentors, to deliver deployable AI solutions that create measurable value.

A structured, secure engagement:

  • Teams sign NDAs, ensuring confidentiality.
  • IP rights and data remain with the organization.
  • All code, models, and deliverables are handed over at the end of the project.
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Why collaborate with us?

  • Access to top-tier AI talent from one of India’s most forward-looking tech institutions.
  • Solutions to pressing business challenges or value creation opportunities using AI.
  • A low-risk, cost-effective testbed for validating new ideas.
  • A potential pipeline of skilled future hires.
  • Fresh innovation through academic collaboration.
  • Strategic AI insights supported by Plaksha faculty expertise.

Project timeline

Below is a consolidated list of requirements for candidates aspiring to apply to the MS in AI program:

  1. Project launch
    Students begin with foundational coursework
  2. Project scoping
    Projects consolidated from industry partners
  3. Team matching
    Students pitch for projects and are assigned
  4. Virtual collaboration (≈2 months)
    Teams work remotely with company mentors
  5. On-site engagement (≈2 months)
    Teams spend time at the company location
  6. Final deliverables
    Presentations, reports, and solutions submitted
  7. Wrap-up
    Reflection and project closure
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