Optimized Lab Operating Schedule


Optimized Lab Operating Schedule to Maximize Revenue

1. Key Considerations

2. Operating Hours and Session Timings

The AI Lab will operate 7 days a week to maximize facility usage and revenue, with sessions targeted at different segments of the audience.

Day Structure

Opening Hours: 8:00 AM - 10:00 PM (7 days a week)

Extended hours on weekdays and weekends to cater to students and working professionals.

Morning Sessions (8:00 AM - 12:00 PM)

Focus: University Students, Professionals

  • 8:00 AM - 10:00 AM: Theoretical Learning (lecture-style, instructor-led)
  • 10:00 AM - 12:00 PM: Practical Hands-on Work (AI systems such as Datav AI systems)

Ideal for university students and working professionals who prefer early sessions.

Afternoon Sessions (12:00 PM - 4:00 PM)

Focus: School Students, New Enrollments

  • 12:00 PM - 2:00 PM: Theoretical Learning (interactive, real-world problem-solving)
  • 2:00 PM - 4:00 PM: Practical Labs (hands-on activities using Metaverse AI systems, Digital Twin simulations)

Designed for middle school to high school students with afternoon availability.

Evening Sessions (4:00 PM - 8:00 PM)

Focus: Professionals, Corporate Training

  • 4:00 PM - 6:00 PM: Advanced Learning (corporate-focused, high-end AI techniques)
  • 6:00 PM - 8:00 PM: Project Work and Q&A (hands-on work and mentoring)

Designed for working professionals and corporate groups seeking business-focused AI skills.

Night Sessions (8:00 PM - 10:00 PM)

Focus: Weekend Workshops, Online Courses

  • Flexible workshops focused on specialized topics like Metaverse AI and Computer Vision.
  • Sessions provide flexibility for those who work during the day.
  • Used for targeted workshops based on market demand.

Weekend Special Sessions (Friday and Saturday)

Saturday - Extended Practical Sessions (12:00 PM - 6:00 PM)

Friday - Seminar and Advanced Workshops (1:00 PM - 4:00 PM)

Revenue Optimization Strategy

Multiple Course Cycles per Day

Increased Student Enrollment

Higher Revenue per Student

Customer Segmentation

Course Flexibility

Operational Efficiencies to Maximize Revenue