IIT Bombay - e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science 

Programming for Machine Learning and Data Science

Databases Management Systems and SQL / NoSQL

Big Data Technology and Tools

Cloud Computing and Resources

Programming and Python Essentials

Introduction To ML via examples (Regression, Clustering, and Classification)

Interpreting ML Outcomes - Introduction To Metrics

Introduction to the Data Pipeline

Data Sourcing, Exploration, Visualization, and Pre-Processing

Feature Creation and Encoding Methods (Images, Text, Audio/Video)

Tools and Techniques for Dealing with Data at Various Sizes and Scales

Introduction to Model Deployment and Management

Statistical Foundations of Machine Learning

Descriptive Statistics

Probability, Distributions, and Moments

Multivariate Probability and Statistics 

Estimation 

Hypothesis Testing 

Optimisation

Matrices and SVD 

Hands-On examples

Machine Learning

Linear Regression and Bias Variance Tradeoff 

Overfitting and Regularization 

Linear Classification Models 

Decision Trees

Ensemble Methods

Kernel Methods

Support Vector Machines 

Dimension Reduction, PCA  

Clustering Algorithms

Intro Neural Networks 

Graphical Models 

Deep Learning and GenAI

Deep Learning Essentials: Neural Networks and Deep Learning Concepts, Building and Training Neural Networks (TensorFlow/Keras Or PyTorch)

Generative AI Framework, Transformer Models, Large Language Models

Gen AI Use Cases: Text, Images, Code

Fine-Tuning: Fine-Tuning Pre-Trained LLMs for Variety of Applications, Trade-Offs

AI-ML in Practice

Model Deployment and Scaling: Deploying Models on Cloud Platforms (e.g., AWS, Azure), Model Versioning and Serving with Docker and Kubernetes

Transfer Learning and Fine-Tuning: Leveraging Pre-Trained Models, Fine-Tuning Models for Custom Applications

Ensemble Techniques: Bagging and Boosting Algorithms, Building Ensemble Models for Improved Performance

Case Studies from Specific Industries (Healthcare, Finance, E-Commerce and Other Domains)

A Term-Long Project where learners will grapple with an open-ended problem, and present their solutions

Elective Courses