AI

AI Projects Lab

Hands-on laboratory environment where students and professionals develop real-world AI projects from concept to deployment.

AI Projects Lab

The AI Projects Lab provides a structured, supportive environment for developing meaningful AI projects that solve real problems. Participants work in small teams or individually, with guidance from industry mentors and access to computing resources.

Program Structure

The 12-week program is divided into phases:

  • Weeks 1-2: Ideation and Planning
  • Weeks 3-8: Development and Iteration
  • Weeks 9-10: Testing and Refinement
  • Weeks 11-12: Deployment and Presentation

Each phase includes workshops, mentorship sessions, and peer review opportunities.

Resources Provided

  • Access to cloud computing platforms (limited credits)
  • Technical mentorship from industry professionals
  • Weekly office hours with program coordinators
  • Project showcase opportunity at program conclusion
  • Certificate of completion for participants who complete their project

Success Stories

Previous participants have built projects including:

  • Educational tools using computer vision for accessibility
  • Predictive models for community resource allocation
  • Natural language processing applications for local languages

Program Details

Duration
12 weeks
Format
Hybrid (online + in-person sessions)
Audience
Students, early-career professionals, and educators interested in applied AI
Eligibility
Basic programming knowledge (Python recommended), passion for AI/ML

Expected Outcomes

  • Complete portfolio-ready AI projects
  • Understanding of AI project lifecycle
  • Collaboration skills in technical teams
  • Experience with modern AI tools and frameworks

How to Apply

  1. 1 Submit application form with project idea or interest area
  2. 2 Provide brief portfolio or coding sample (GitHub link preferred)
  3. 3 Attend orientation session

Frequently Asked Questions

Do I need to have a team before applying?

No, we facilitate team formation during the orientation phase. You can apply individually or as a team.

What kind of projects are suitable?

Projects can range from computer vision applications, NLP solutions, predictive analytics, to AI for social good. We'll help refine your idea during the program.

Are there costs involved?

The program is free for accepted participants. Some cloud computing credits may be provided for approved projects.

Tags

machine-learning project-based portfolio hands-on