Program Content

• Programming:
  •  Python, Core Java and C
• Machine Learning and computer vision:
  • Data engineering
  • Machine Learning topics and Model building
  • Neural Networks and applied deep learning
• Full stack Application SW:
  • Architecture Patterns
  • Programming models
  • Internet & Web Servers
  • FastAPI, Django + Django Ninja
  • Browsers & HTML5, CSS3
  • JavaScript (ES6+)
  • Angular 18
  • React, React Native
  • Deployment & Tools

Program Logistics

• Full Time, 6 days per week
• Lecture Sessions 3 hours per day
• Lab & Design Practice 5 hours per day
• 8:30am-9:00am: Lab /Assignment/ Student preparation
• 9:00am-10:30am: Morning Lecture
• 10:30am-01:00pm: Lab /Assignment (with Tea Break)
• 01:00pm-01:30pm: Lunch Break
• 01:30pm-03:00pm: Afternoon Lecture
• 03:00pm-06:00pm: Lab /Assignment (with Tea Break)

Note: Timings are indicative and slightly flexible. Students are permitted to work beyond specified hours based on requirements.

Minimum Qualification for “Engineer Trainee” position

• Eligibility: B.E./B.Tech in Computer Science/ Electronics/AI&ML engineering/Data science and Engineering
• Candidates who are in the final semester are also eligible, provided they have no backlogs to date and no remaining classwork in their last semester at their college/university.
• Percentage: 70%

Minimum Qualification for “Jr. Engineer Trainee” position

• Eligibility: Diploma / B.Sc in Computer Science
• Percentage: 70%