Course Overview

Program Overview

A structured four-year learning journey designed for college students to build strong technical foundations, explore advanced technologies, and prepare for career success.

Learn programming, AI, web development, cloud computing, and professional skills — all under expert mentorship.

Fee Structure

Six Specialized Courses Within the Program

1. Programming & Problem-Solving Foundations (Year 1)

Duration: 12 months

Focus: Build a strong coding foundation in C, Python, and data structures.

Modules:

1. C & Python Programming Fundamentals
2. Data Structures & Algorithms
3. Object-Oriented Programming (OOP)
4. Cloud Fundamentals (AWS, Azure, IBM Cloud)
5. Basic Web Development (HTML, CSS, JS)
6. Communication & Aptitude Training
7. Outcome:
8. Become proficient in programming logic and ready to start building basic applications and projects.
9. Certifications: C/Python fundamentals, Cloud Basics.

2. Data Science & Advanced Python Development (Year 2)

Duration: 12 months

Focus: Transition from basic programming to data analytics and AI preparation.

Modules:

1. Advanced Python (NumPy, Pandas, APIs)
2. SQL & Database Design
3. Introduction to AI/ML
4. React.js & Node.js Fundamentals
5. Cloud Intermediate (Microsoft AZ-900 certification)
6. Outcome:
7. Gain strong analytical and technical coding skills with exposure to real-world datasets and cloud environments.

3. Full Stack Web & Cloud Development (Year 3 – Part 1)

Duration: 6 months

Focus: Build modern, full-stack applications integrated with cloud platforms.

Modules:

1. Advanced JavaScript (React, Node, Express)
2. MongoDB & REST API Design
3. Full-stack Project Implementation
4. Responsive Web Design
5. AWS Cloud Practitioner Certification Track
6. Outcome:
7. Develop full-scale, deployable applications and understand the complete web development lifecycle.

4. AI, Machine Learning & Generative AI (Year 3 – Part 2)

Duration: 6 months

Focus: Dive into applied AI, ML, and Generative AI concepts using Python and cloud tools.

Modules:

1. AI/ML Model Development & Deployment
2. Generative AI & LAVA Chain Technology
3. Web Interfaces for AI (Frontend Integration)
4. AI Bots & API Development
5. Outcome:
6. Hands-on experience building real-world AI-driven applications and intelligent interfaces.

5. Salesforce & Professional Readiness (Year 4 – Part 1)

Duration: 6 months

Focus: Get certified and career-ready with Salesforce and professional skill development.

Modules:

1. Salesforce Platform Basics & Development
2. CRM Fundamentals
3. Communication & Aptitude Enhancement
4. Internal Hackathons & Team Projects
5. Outcome:
6. Become Salesforce certified and gain strong professional and communication skills for corporate readiness.

6. Capstone Projects & Career Launchpad (Year 4 – Part 2)

Duration: 6 months

Focus: Consolidate all learning into real-world, client-based projects and career preparation.

Modules:

1. Major Project Development (AI/Web/Cloud)
2. Internship Preparation & Resume Building
3. Mock Interviews & Technical Assessments
4. Advanced Cloud Computing (Multi-Cloud, DevOps, Security)
5. Outcome:
6. Graduate with a robust portfolio, real project experience, and career placement support.

Specialization Options (For Lateral Entrants)

For students joining in later years, choose one of the following:

1. Python/Data Science Track – AI tools, Power BI, Excel, data analytics
2. Advanced Web Development Track – React, Node, MongoDB full-stack apps
3. AWS Cloud Track – Certification prep, deployment models, cloud architecture

Career Path Highlights

1. Certifications: AWS, Microsoft, Salesforce, Cloud Practitioner, Python
2. Internships: Industry partnerships for real-world experience
3. Projects: Minimum 6 portfolio-ready projects
4. Hackathons: State-level and internal competitions