The course spans a total of 1,600 hours of core training, conducted through instructor-led
sessions at National Skill Training Institutes (NSTIs) over a period of 12 months.
Over the course of a year, students will study computer basics. They will gain skills in
installing and customizing operating systems and software for data annotation, with a focus
on safety protocols. Additionally, they will learn Python programming, database management,
and interpret data science principles, including AI and machine learning. Students will also
develop proficiency in deep learning, integrating natural language processing, and utilizing
computer vision and generative AI tools for interpreting visual information. The courses is
broken into discrete modules, where each module has its own objectives and learning
outcomes. Below outlines the modules covered in the course.
| Sr.No. | Course Modules | Duration (in hours) | Hours Breakup | Type |
| 1 | Computer Basics and Operating System Configuration | 120 | 1200 hrs | Foundational AI modules |
| 2 | Python Programming | 150 | ||
| 3 | Database Fundamentals | 60 | ||
| 4 | Foundations of Data Science | 120 | ||
| 5 | Essentials of AI & Machine Learning | 150 | ||
| 6 | Deep Learning Fundamentals | 150 | ||
| 7 | Natural Language Processing Applications | 120 | ||
| 8 | Computer Vision Fundamentals | 150 | ||
| 9 | Understanding Generative AI | 60 | ||
| 10 | Employability Skills | 120 | ||
| 11 | Applied AI: Integration & Ethics | 240 | 400 hrs |
Advanced AI modules and virtual project-based learning |
| 12 | AI in Action: Real-world Use Cases | 160 |
To know more about the course curriculum, please refer to the document below.
AI Programming Asst._CTS1.0_NSQF-3.5.pdf
