

Kurukshetra Online Diploma in Artificial Intelligence and Machine Learning



Application Closing soon for Jul 2026 Batch
EMI Starts From: NA
Live Class:Online
Average Salary:₹12.0LPA




Application Closing soon for Jul 2026 Batch
EMI Starts From: NA
Live Class:Online
Average Salary:₹12.0LPAKurukshetra University’s Online Diploma in Artificial Intelligence and Machine Learning is designed for beginners and working professionals seeking core AI skills with flexibility. The curriculum covers Python programming, statistics, data handling, supervised and unsupervised learning, neural networks, NLP, computer vision and deployment. Offered online by a NAAC A++ university with UGC-DEB entitlement, it blends live instruction, recordings and practical labs. Learners build a portfolio through projects and case studies using real datasets and industry tools. The programme emphasizes ethical AI practices, problem framing and communication of results. Graduates can target roles in AI engineering, data science, model development, research assistance and automation.
Programming Foundations: Master Python, data structures and scientific libraries
ML Algorithms: Implement supervised and unsupervised learning techniques
Deep Learning: Build and tune neural networks for complex tasks
NLP and Vision: Explore text analytics and image/video processing
MLOps Basics: Learn model evaluation, deployment and monitoring principles
Project Portfolio: Complete end-to-end AI projects with real datasets
Flexible Access: Learn live or via recordings on the LMS
Recognized Credential: Diploma from a UGC-entitled NAAC A++ university
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10+2 from a recognized board in any stream
Basic programming familiarity is helpful, bridging support available
Admission is merit-based; no separate entrance exam



Total 6 semester
INR 5,475 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 32,848
*Inclusive of all taxes
EMI starting at
INR 912 / Month
*Terms & Conditions apply
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| S.No | Credit | Subject |
|---|---|---|
| 1 | DAI101 | Python Programming and Data Structures |
| 2 | DAI102 | Mathematics for AI (Linear Algebra/Calculus) |
| 3 | DAI103 | Statistics and Probability for AI |
| 4 | DAI104 | Data Handling with NumPy and Pandas |
| 5 | DAI105 | Ethics and Responsible AI |
| S.No | Credit | Subject |
|---|---|---|
| 1 | DAI201 | Exploratory Data Analysis and Visualization |
| 2 | DAI202 | Supervised Learning Algorithms |
| 3 | DAI203 | Unsupervised Learning and Clustering |
| 4 | DAI204 | Feature Engineering and Model Selection |
| 5 | DAI205 | Mini Project I |