Diploma Courses

Data Science & AI (IIITB) Post Graduate Diploma

12 months
7 modules
₹3,15,000
Course Overview

The Post Graduate Diploma in Data Science & AI is a 12-month online program by IIIT Bangalore (IIITB), designed for professionals and graduates to master data analytics, machine learning, and generative AI. With a 2025 curriculum, this program offers 60+ projects, 100+ tools (Python, SQL, Tableau), and a 3-month complimentary bootcamp for beginners.

Key Benefits

Updated 2025 Curriculum - Comprehensive coverage of data fundamentals, ML, deep learning, NLP, cloud computing, and generative AI with 100+ tools.

Beginner-Friendly Bootcamp - Complimentary 3-month training in math, Python, and SQL for those scoring below 60% on the skill test.

Hands-On Mastery - 60+ projects, 30+ domain assignments, and customizable capstone for a professional portfolio.

Personalized Career Support - Resume building, interview prep, personal branding, and access to 500+ hiring partners.

Flexible & Inclusive - Online format with monthly starts, no prior coding required, and specializations in Data Analysis or Engineering.

Exclusive Perks - Free Microsoft Copilot Pro for 1 month, IIITB alumni status, and a network of 30,000+ professionals at Amazon, Google, Flipkart.

Admission Checklist

Bachelor's or Master's degree in any discipline with at least 50% aggregate marks or equivalent CGPA

No prior tech experience needed; suitable for beginners via bootcamp

Updated resume or CV with professional/educational details

Academic transcripts from your degree

Government ID (Aadhaar, Passport, or PAN Card)

Online application form; shortlisting leads to offer letter—pay ₹15,000 to reserve your seat

Syllabus

Module 1

Advanced Math & Programming - Sets, Combinatorics, Probability, Python Basics, Data Types

Foundation in mathematical concepts and programming fundamentals

Module 2

Data Analysis & Exploration - EDA, Statistical Analysis, Visualization with Matplotlib, Seaborn

Master data exploration and statistical analysis techniques

Module 3

Cloud Computing & Big Data - AWS/GCP/Azure, Hadoop, Spark, PySpark, Data Storage

Learn cloud platforms and big data processing

Module 4

Foundations of ML - Regression, Classification, Clustering, Model Optimization

Core machine learning algorithms and optimization

Module 5

Deep Learning & NLP - Neural Networks, TensorFlow, PyTorch, Sentiment Analysis, Chatbots

Advanced AI and natural language processing

Module 6

Specialization Track - GenAI & LLM Evaluation OR Real-Time Pipelines & MongoDB

Choose between Data Analysis or Data Engineering specialization

Module 7

Capstone Project - Custom Project based on employer problem or domain challenge

Comprehensive project for professional portfolio
Specializations

Data Analysis - Focus on visualization, statistical insights, GenAI, XAI, and tools like Tableau, Power BI, and Looker.

Data Engineering - Emphasizes big data pipelines, cloud platforms (AWS, Azure, GCP), and tools like Kafka, Airflow, and Docker.

Machine Learning - Advanced ML algorithms, model optimization, and deployment strategies.

Generative AI - LLM development, prompt engineering, and AI ethics implementation.

Cloud Computing - AWS, Azure, GCP certifications and cloud-native data solutions.

Career Opportunities

Job Roles

Data Scientist
Machine Learning Engineer
Data Engineer
Data Analyst
AI Specialist
Business Intelligence Specialist
NLP Engineer

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