Program Structure and Salient Features

9 months long diploma course, 450 hours program including online interactive sessions of 310 hours and required self-study and project work of 140 hours
30 credits
One term project
All courses are mandatory (no elective)
Lectures byIIITDfaculty and Subject Matter Experts from the partner industry
Industry-aligned certification examinations including courses, credits and responsibilities
Delivery Mode will be Online

Term Course	Hours			Course	Credit	Responsibility
Term Course	Classroom	Lab	Total	Course	Credit	Responsibility
Trimester 1 (110 hrs)	90 hrs	20 Hrs	110 Hrs	Python Programming for analytics	2	IIIT
				Probability and Statistics	3	IIIT
				Mathematics and optimization theory	2	IIIT
				Business Intelligence	2	IBM
Trimester 2 (160 hrs)	120 hrs	40 Hrs	160	Introduction to Machine Learning	2	IIIT
				Data Science	2	IBM
				Data Mining	3	IIIT
				Big Data Applications	2	IBM
				Natural Language Processing	2	IIIT
Trimester 3 (130 hrs)	100 hrs	30 hrs	130 hrs	Application of ML/DL	2	IIIT
				Deep Learning	3	IIIT
				Artificial Intelligence in application	3	IBM
				Term project	2	Joint
Total	310 Hrs	90 Hrs	400 hrs	12 subjects + 1 Term Project	30	Hours: IBM/IIITD (100+90)+20hrs Joint Project Monitoring

Days: All Saturday and one Sunday in every month (at least 46 days for the program duration)
Timing: 09:00 hrs to 17:00 hrs with one break of 60 minutes (7 hours per online session)
Online lectures and labs
Delivery Mode will be Online