A central hub will provide digital infrastructure and localized expertise through master trainers. The Hub will typically be a women engineering college which offers deep hands-on training to the students enabling them with access to computing and cloud platforms, necessary AI tools towards building deep AI Application development skills. As an outcome it will provide students with AI career / role-based learning, leading to paid job opportunities.
Everything a Hub College student gains through the AICW fellowship journey.
Dedicated hands-on training at AI Excellence Centers.
Earn co-branded certifications and badges from industry partners.
Receive expert mentorship and create prototypes with capstone projects.
Receive opportunity to showcase projects at National flagship events.
Dedicated placement support for eligible students.
A breakdown of the 240-hour Hub College program and its module-level curriculum.
| Program Component | Duration |
|---|---|
| Technical Course Content | 120 Hrs |
| Placement Skills | 20 Hrs |
| Capstone Project | 40 Hrs |
| Self-Paced Content / Additional Certifications | 60 Hrs |
| Total Duration | 240 Hrs |
| Module Name | Duration (In Hours) |
|---|---|
| 1. Foundations of AI & Data Science | 03 |
| 2. Data Literacy & Analysis | 12 |
| 3. Understanding Machine Learning | 17 |
| 4. Advanced Machine Learning & Deep Learning (For Data Scientists) | 15 |
| 5. Computer Vision Fundamentals & Applications | 12 |
| 6. Natural Language Processing & LLMs | 16 |
| 7. Generative AI & Prompt Engineering | 04 |
| 8. AI in Business & Industry | 06 |
| 9. AI Product & Solution Design | 07 |
| 10. AI/ML Engineering & Deployment | 12 |
| 11. AI Security, Privacy & Adversarial Robustness | 05 |
| 12. Cybersecurity Essentials for AI Professionals | 07 |
| 13. Ethics, Risk, and Governance in AI | 04 |
| Total Hours | 120 |