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 Components | 120 | 1200 hrs | Foundational AI modules |
2 | Programming using Python | 150 | ||
3 | Database Concepts | 60 | ||
4 | Data and predictive analysis | 120 | ||
5 | AI and Machine Learning | 150 | ||
6 | Deep Learning | 150 | ||
7 | Natural Language Processing | 120 | ||
8 | Computer Vision | 150 | ||
9 | Generative AI Models | 60 | ||
10 | Employability Skills | 120 | ||
11 | Microsoft Copilot | 80 | 400 hrs | Applied AI Project Based Learning |
12 | Power BI | 120 | ||
13 | AI in Practice | 120 | ||
14 | Capstone Project | 80 |
To know more about the course curriculum, please refer to the document below.
AI Programming Asst._CTS1.0_NSQF-3.5.pdf