The spokes colleges will have existing infra which can be leveraged for training and will typically be an Engineering, Science or Commerce college. The Spoke will offers deep hands-on training with focus on building proficiency with usage of AI tools and innovating with the same. As an outcome it will enable students with necessary AI skills with focus on increasing employability. Students will also be supported with job opportunities.
Everything a Spoke College student gains through the AICW fellowship journey.
Gain hands-on training on leading AI tools.
Earn co-branded certifications and badges from industry partners.
Receive expert mentorship and create prototypes with capstone projects.
Receive opportunity to showcases projects at regional events.
Dedicated placement support for eligible students.
A breakdown of the 180-hour Spoke College program and its module-level curriculum.
| Program Component | Duration (In hours) |
|---|---|
| Technical Course Content | 80 Hrs |
| Placement Skills | 20 Hrs |
| Capstone Project | 20 Hrs |
| Self-Paced Content/Additional Certifications | 60 Hrs |
| Total Duration | 180 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) | 18 |
| 5. Computer Vision Fundamentals & Applications | 12 |
| 6. Natural Language Processing & LLMs | 10 |
| 7. Generative AI & Prompt Engineering | 04 |
| 8. Ethics, Risk, and Governance in AI | 04 |
| Total Duration | 80 |
| Module Name | Duration (In hours) |
|---|---|
| 1. Foundations of AI & Data Science | 03 |
| 2. Python Basics for Data Science | 12 |
| 3. Data Literacy & Analysis | 17 |
| 4. Understanding Machine Learning | 20 |
| 5. Advanced Machine Learning & Deep Learning (For Data Scientists) | 15 |
| 6. Generative AI & Prompt Engineering | 04 |
| 7. AI Security, Privacy & Adversarial Robustness | 05 |
| 8. Ethics, Risk, and Governance in AI | 04 |
| Total Duration | 80 |
| Module Name | Duration (In hours) |
|---|---|
| 1. Foundations of AI & Data Science | 03 |
| 2. Data Literacy and Fundamentals (Excel) | 15 |
| 3. Advanced Data Analysis & Visualization (Power BI) | 15 |
| 4. Prompt Engineering | 05 |
| 5. AI Chatbot Development | 08 |
| 6. AI in Strategic Decision-Making | 15 |
| 7. AI in Marketing and Customer Experience | 15 |
| 8. Ethics, Risk, and Governance in AI | 04 |
| Total Duration | 80 |