Executive Diploma in Machine Learning and AI

Duration: 12 Months | Mode: Online
Admission Deadline: November 29, 2025

Eligibility: Bachelors or Master’s Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA

Executive Diploma in Machine Learning and AI

November 29, 2025Admission Deadline
12 MonthsDuration

Bachelors or Master’s Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA

Program Overview

Enroll into India's pioneering Online Machine Learning Program; learn from the latest 2025 curriculum.

EligibilityBachelors or Master’s Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA

Mode of Teaching & ExamsOnline

Medium of InstructionsEnglish

Admission DeadlineNovember 29, 2025

Programme FeeEMI starting at ₹8,125/-

Duration 12 Months

Apply Now Download Syllabus

Program Benefits

Personalised learning paths
30+ projects across domains
Capstone Project of your choice
A standout ML Engineer's portfolio
Personalised Career Support
Certification by Microsoft

Programming Languages and Tools Covered
Get Hand-on Experience and deep dive into the latest tools and programming languages

Get Certified!

Get certified for the Executive Diploma in Machine Learning and AI & turbocharge your career growth

National and International Accreditation: WES recognised, equivalent to 1-year Executive Diploma in Machine Learning and Artificial Intelligence
Prestigious Credentials: NAAC A+ accreditation (2021), NIRF rank 74 (2024), Curriculum equivalent to NSQF level 8
Lifetime Alumni Status: Join an alumni network of over 10,000 professionals, with many in key technical leadership roles

Our Learners Work At
Top companies from all around the world have recruited IIITB alumni

Industry Projects
Learn through real-life industry projects that simulate actual projects in top companies across industries.

Advanced Gen AI for Analytics

Analyse Amazon customer reviews to identify prevalent sentiments and themes to improve product offerings and enhance customer satisfaction or ChatGPT customer feedback to derive actionable insights for business improvement

GenAI System Design

ChatGPT customer feedback to derive actionable insights for business improvement.

Exploratory Data Analysis

Analyse NYC taxi operations for efficient taxi positioning or US beer production data for better brewery operation management

Linear Regression

Predict household energy consumption using appliance energy readings data to increase power consumption efficiency or parcel delivery time for Porter using historical delivery data for better planning and management

Syllabus

Download Syllabus

Course 1 : Advanced Math & Programming (5 Weeks)
Conditional Probability and Probability Distributions
Advanced Linear Algebra and Linear Transformations
Multivariate Calculus
GenAI for Coding and Problem-Solving
Object-Oriented Programming
Python Data Science Libraries
Database Design and SQL Querying
Introduction to NoSQL Databases
Version Control
Course 2 : Data Analysis & Exploration (5 Weeks)
Data Analysis with Python
Exploratory Data Analysis
Inferential Statistics and Hypothesis Testing
Course 3 : Cloud Computing & Big Data (5 Weeks)
Cloud Computing with AWS / GCP / Microsoft Azure
Big Data Analysis with PySpark
Course 4 : Foundations of ML (5 Weeks)
Machine Learning Paradigms
Linear and Logistic Regression
K Nearest Neighbors
Regularisation and Hyperparameter Tuning
Decision Trees and Ensembles
Clustering Models
Course 5 : Deep Learning & NLP (5 Weeks)
Deep Learning Fundamentals
Convolutional and Recurrent Neural Networks
Lexical / Syntactic / Semantic Processing
Specialization : MLOps (16 Weeks)
Support Vector Machines
Naive Bayes
Feature Engineering and Model Selection
Dimensionality Reduction
Time Series Analysis
Association Rule Mining
Recommendation Systems
Explainable AI
Advanced CNN Architectures
LSTMs and GRUs
Transfer Learning Techniques
Encoder-Decoder Architectures and Seq2Seq
Machine Translation
Attention Mechanisms and Transformers
Fundamentals of Generative AI and Prompt Engineering
Computer Vision
Variational Autoencoders
Generative Adversarial Networks
Data and Model Security Principles
End-to-End Data Pipelining Fundamentals
Pipeline Automation with AWS Lambda
GCP Functions and Azure Automation
Data Monitoring with Amazon CloudWatch
Google Cloud Monitoring and Azure Monitor
Feature Stores and Vector Databases
Real-Time Processing with Flink and Kafka
Real-Time Analytics with Spark Streaming
Real-Time Analytics with Amazon Kinesis
Google Cloud Pub/Sub and DataFlow
Azure Stream Analytics and Event Hubs
Multicloud and Hybrid Cloud Operating Principles
Scala
Data Build Tool (DBT)
Azure Data Factory
Model Pipelining Principles
Scheduling and Triggers
Parallel Model Training and Real-Time Model Serving
Data Versioning and Model Versioning
Model Monitoring and System Design
Specialization : GenAI (16 Weeks)
Support Vector Machines
Naive Bayes
Feature Engineering and Model Selection
Dimensionality Reduction
Time Series Analysis
Association Rule Mining
Recommendation Systems
Explainable AI
Advanced CNN Architectures
LSTMs and GRUs
Transfer Learning Techniques
Encoder-Decoder Architectures and Seq2Seq
Machine Translation
Attention Mechanisms and Transformers
Fundamentals of Generative AI and Prompt Engineering
Computer Vision
Variational Autoencoders
Generative Adversarial Networks
Data and Model Security Principles
Advanced Prompt Engineering and GenAI System Design
Prompting Multimodal Models
LLM Frameworks such as LangChain and LLaMa Index
LLM Evaluation Methods
Data Security and Governance
AI Ethics
Information Retrieval Principles
Embeddings and Vector Databases
Retrieval-Augmented Generation (RAG) and RAG Architectures
Agentic Systems and Multi-Agent Systems
Advanced Multimodal GenAI Models
LLM Deployment
Advanced Computer Vision and 3D Vision
GenAI Optimisations
AI Ethics
Building an LLM from End-to-End

Application Process

Complete Application
Fill out an application form giving your basic profile details.
Offer Letter & Reserve Seat
Receive an offer letter and pay ₹15,000 to reserve a seat.
Payment
Remaining balance to be paid within 7 days or batch start date whichever comes sooner.

WHAT OUR LEARNERS SAY

Arpan Chattopadhyay

"I am pleased to have joined CitiusTech as Senior Engineer, AI leveraging knowledge gained through my postgraduate program in artificial intelligence and machine learning. Thank you IIIT-B PG Diploma in AI program and the upGrad job assistance for facilitating my placement! From the course content to profile building guidance and cracking interviews - every step has been fulfilling. Shoutout to my career coach Argha Mukherjee for handholding support even post my job search completion. Also, thanks Udit Pathak for being so patient with all my questions. Doing this PG in Artificial Intelligence has launched my career."

Sworna Vidhya Mahadevan

"My first-ever graduation ceremony occurred virtually this week completing the PG Diploma in Machine Learning from the prestigious IIIT Bangalore. I'm fortunate to have connected online with my professors and batchmates from my PG Diploma in Machine Learning and AI. Meeting my instructor Professor Dinesh and other seniors was a highlight. This best pg program in ai and machine learning made lifelong networking possible despite remote learning. I gained immense theoretical and practical AI & ML expertise to excel in global tech careers."

Abhijeet Mhatre

"A huge thanks to upGrad and IIIT-B for making my PG Diploma in Machine Learning and Artificial Intelligence graduation possible. My exceptional instructors, supporting mentors and professors made this journey easy while I learnt invaluable skills in deep learning, NLP, computer vision and more within this PG in artificial intelligence program. The course has really taught skills to grow in the global tech roles."

Ayush Mandowara

"I am happy to share that I am starting a new position as a Machine Learning Engineer at Adeptmind after finishing my PG Program in Artificial Intelligence and Machine Learning. It was a long and fulfilling experience with a steep learning curve. This PG Diploma in Machine Learning and Artificial Intelligence kept challenging me, while my colleagues always motivated me to keep going. I am glad I finished all ML & AI PG courses in the program. Shoutout to upGrad instructors, Mr Rohit Sinha, Mr Connor, Mr Jing He, Mr Yizhe Wen and coordinators Liz & Pranjali for their invaluable direction & support."

Yadu Singh

"I'm on top the of world since I received Masters Certification in Machine Learning from Liverpool John Moores University - UK after excelling in this Post Graduate Diploma in AI and ML program. I'm grateful to my friends, teachers like Professor Ahmed, coordinator upGrad mentors Rashmi & Priya and project guide Mr. Bharath Varma for their phenomenal support during my Post Graduation in AI and ML. Their guidance motivated me to complete this Post Graduate Program in AI and Machine Learning successfully."

Sakshi Maharana

"My sincere gratitude to IIIT-B’s PG Diploma in Machine Learning and AI and upGrad for empowering my career transformation through this amazing PG in Machine Learning course. The curriculum, great faculty support and mentor encouragement have enabled me to secure my first AI & ML job with Ugam Solutions. My learnings from this Post Graduation in AI & ML have provided the ideal launch pad for my career."

Mohit Khanna

"If you aspire to level up, connect with an empowering mentor who motivates progress. My sincere appreciation to career coach Hemansi for her invaluable support during my Post Graduate Program in AI and Machine Learning journey which channelized my full potential. Out of the many AI PG courses I have seen, this is the best. The meticulous curriculum combined with expert guidance have unlocked new doors for me. I encourage everyone to optimize lifelong learning opportunities by enrolling for Post Graduate Programme in Machine Learning & AI. You can check PG Program in AI and Machine Learning review before enrolling."

Darpan Bafana

"Kudos to upGrad for this thoughtful meet of all alumni from PG Diploma in Machine Learning course. This brought us all together in person after 2+ years of virtual interactions. Brainstorming real-world data science challenges with Professor Birender, Ms. Saloni and batchmates - while strengthening bonds - made for an incredibly rewarding day. Thank you upGrad’s PG Program in Artificial Intelligence and Machine Learning for these bonds and knowledge sharing forums with experts."

Akash T

"Ringing in the new year with new beginnings - I'm delighted to have joined Capgemini as Consultant in Data Science thanks to my post graduate diploma in ai and ml learnings. My PG diploma in AI and ML equipped me with the core skills to excel in this role. I'm thrilled to continue my career growth journey leveraging my program takeaways. Big thanks to my IIIT Bangalore AI ML teachers and colleagues for the support over 2 years to help me land this fabulous job."