AI / ML Fundamentals
Information Technology · NSQF level 5 · 6 months. All figures are illustrative demo data.
Current seats
Recommended 120
Current students
86% completion rate
Placement rate
Latest completed cohort
Industry alignment
Against employer requirements
Industry demand
Local hiring signals for this occupation.
- Demand
- Very High
- Growth
- +48%
- Local employers
- 61
- Average entry-level salary
- ₹4.6 LPA
Salary figures are illustrative demo data and do not represent official wage statistics.
Capacity gap detected
Demand supports 120 seats against your current 40. Increasing intake needs an estimated 2 additional trainers and closes 80 seats of the local training gap.
Course alignment score
Skill-by-skill coverage against employer requirements.
- Python84%
- Applied Statistics62%
- Model Training Workflows46%
- MLOps & Deployment24%
Weakest areas: Applied Statistics, Model Training Workflows, MLOps & Deployment.
Industry vs current curriculum
Employer requirements compared with what this course currently teaches.
Current curriculum
- Python
- Statistics
- Intro to ML
Reduce
- Theory-only algebra recap
Industry requirements
- Model DeploymentMissing
- MLOpsMissing
- Prompt & LLM ToolingMissing
- GPU Workflows
Adding the suggested modules is estimated to raise alignment by +21%.
Batches for this course
Delivery status of active, upcoming and completed batches.
AI / ML Fundamentals — Batch AI-26-01
0/40 students · 15 Oct 2026 → 15 Apr 2027 · attendance 0%
UpcomingView batch
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