| Sn No. | Course Modules | Duration | Hours Breakup |
| 1 | Apply Computer basics and perform installation, customization of Operating System, related software in a computer for Data Annotation purpose following safety precaution. | 100 hrs | 1200 hrs |
| 2 | Write programs using Python language. | 125 hrs | |
| 3 | Interpret and working with Database. | 100 hrs | |
| 4 | Interpret Data Science and predictive analysis. | 150 hrs | |
| 5 | Illustrate AI, Machine Learning and pre-trained models. | 150 hrs | |
| 6 | Gain basic Skills and knowledge in Deep Learning and pre-trained models. | 150 hrs | |
| 7 | Gain proficiency in integrating natural language processing capabilities into applications, improving data analysis and decision-making, and enhancing the overall user experience. | 150 hrs | |
| 8 | Interpret and understand visual information using Computer vision. | 150 hrs | |
| 9 | Interpret and understand Generative AI Tools and models. Understand the ethical challenges of generative AI and | 125 hrs | |
| 10 | Applied AI: Exploring Open-Source Integration, Power BI, Ethical AI, and Innovation | 240 hrs | 400 hrs |
| 11 | AI in action: Hands-on experience and Experimentation with real-world case studies | 160 hrs |
