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IndiaAI Project
Commencement of Training:
NIELIT Kurukshetra is inviting applications from eleigible and interested candidates for FREE Trainings in following courses:
| Course Name | Level NSQF | Duration (Hrs.) |
Last Date to Apply | Batch Start & End Date |
| Foundation of Artificial Intelligence Technology (Batch-2) | 3.5 | 90 | 18-Sep-2025 | 22-Sep-2025 To 07-Nov-2025 |
| Foundation of Artificial Intelligence Technology (Batch-3) | 3.5 | 90 | 06-Nov-2025 | 10-Nov-2025 To 26-Dec-2025 |
| Foundation of Artificial Intelligence Technology (Batch-4) | 3.5 | 90 | 25-Dec-2025 | 29-Dec-2025 To 13-Feb-2026 |
| Fundamentals of Data Annotation using Python (Batch-2) | 3.5 | 120 | 18-Sep-2025 | 22-Sep-2025 To 07-Nov-2025 |
| Fundamentals of Data Curation using Python (Batch-2) | 3.5 | 120 | 06-Nov-2025 | 10-Nov-2025 To 26-Dec-2025 |
| Fundamentals of Data Curation using Python (Batch-3) | 3.5 | 120 | 06-Nov-2025 | 10-Nov-2025 To 26-Dec-2025 |
| Foundation of Data Science and Analytics (Batch-1) | 3.5 | 120 | 25-Dec-2025 | 29-Dec-2025 To 13-Feb-2026 |
The trainings will be conducted in offline/physical mode at NIELIT Kurukshetra. Interested candidates must fill online application form. The seats will be allotted on First-cum-First-Serve (FCFS) basis. Seats are limited.
For Registration, Click here.
More details about the Project/Scheme
Objective of the project in respect of RC-Kurukshetra is as under:
NIELIT Kurukshetra to empower the youth by imparting training to 400 candidates in NSQF-aligned courses in the field of Artificial Intelligence Applications and Data Science over a period of three years under India AI FutureSkills pillar of the India AI Mission.
Course Details:
| Sr. No. | Qualification/Course Name | NSQF Level | Duration (in Hrs) | Year-1 | Year-2 | Year-3 | Total Count | ||||
| No. of Batches | Training Target | No. of Batches | Training Target | No. of Batches | Training Target | No. of Batches | Training Target | ||||
| 1 | Fundamentals of Data Curation using Python | 3.5 | 120 | 1 | 20 | 2 | 40 | 2 | 40 | 5 | 100 |
| 2 | Fundamentals of Data Annotation using Python | 3.5 | 120 | 1 | 20 | 1 | 20 | 1 | 20 | 3 | 60 |
| 3 | Foundation of Data Science and Analytics | 3.5 | 120 | 0 | 0 | 1 | 20 | 1 | 20 | 2 | 40 |
| 4 | Foundation of Artificial Initelligence Technology | 3.5 | 90 | 2 | 40 | 4 | 80 | 4 | 80 | 10 | 200 |
| Total | 4 | 80 | 8 | 160 | 8 | 160 | 20 | 400 | |||
