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Machine Learning & AI
🏆PG

Machine Learning & AI

Offered byIIIT Banalore
Duration11 Months
Session📅 July'26
Mode💻 Online + Campus

Program Investment

Online Fee₹3,15,000
* Seat Blocking Fee: 15,000 (Adjustable in total fee)
Program Insights

Course Overview

The Post Graduate program in Machine Learning & AI at IIIT Bangalore is designed to provide a comprehensive understanding of the concepts and techniques of Machine Learning and Artificial Intelligence. The program covers a wide range of topics, including supervised and unsupervised learning, deep learning, natural language processing, and computer vision. The program is tailored to meet the demands of the industry and provides students with hands-on experience in implementing machine learning and AI algorithms and techniques using popular tools and technologies such as Python, TensorFlow, and PyTorch. The program is delivered by experienced faculty and industry experts and provides students with opportunities to work on real-world projects and case studies, making it an ideal program for professionals looking to transition into a career in machine learning and AI or to upskill and reskill in their current role.

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Key Learning Outcomes

01

Understand the fundamental concepts of machine learning and AI

02

Learn to implement machine learning algorithms and techniques using popular tools and technologies

03

Develop skills in data preprocessing, feature engineering, and model evaluation

04

Understand the applications of machine learning and AI in various industries and domains

05

Develop skills in communicating complex technical concepts to non-technical stakeholders

Academic Roadmap

Syllabus & Curriculum

A structured learning path designed for mastery.

5Total Modules
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M1: Introduction to Machine Learning

This module provides an introduction to the fundamental concepts of machine learning, including supervised and unsupervised learning, regression, classification, and clustering.

Key Topics

Introduction to Machine Learning
Types of Machine Learning
Supervised Learning
Unsupervised Learning
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M2: Deep Learning

This module covers the concepts and techniques of deep learning, including convolutional neural networks, recurrent neural networks, and long short-term memory networks.

Key Topics

Introduction to Deep Learning
Convolutional Neural Networks
Recurrent Neural Networks
Long Short-Term Memory Networks
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M3: Natural Language Processing

This module covers the concepts and techniques of natural language processing, including text preprocessing, sentiment analysis, and language modeling.

Key Topics

Introduction to Natural Language Processing
Text Preprocessing
Sentiment Analysis
Language Modeling
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M4: Computer Vision

This module covers the concepts and techniques of computer vision, including image processing, object detection, and image segmentation.

Key Topics

Introduction to Computer Vision
Image Processing
Object Detection
Image Segmentation
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M5: Capstone Project

This module provides students with the opportunity to work on a real-world project that applies the concepts and techniques learned throughout the program.

Key Topics

Project Proposal
Project Implementation
Project Presentation
🎯 Practical Application
📊 Case Studies
🏆 Assessment
🧠
Advanced Knowledge

Industry-aligned concepts

🛠️
Practical Skills

Real-world tools

🎓
Certification

Global recognition

ROI & Outcomes

Career Impact

Visualize your professional trajectory with data-backed outcomes.

Target Job Roles

3 Roles
💼

Machine Learning Engineer

₹15 - ₹30 LPA avg.

Design and develop machine learning models and algorithms to solve complex problems in various industries and domains.

Hiring:Google, Amazon, Microsoft...
💼

Data Scientist

₹12 - ₹25 LPA avg.

Collect, analyze, and interpret complex data to inform business decisions and drive business growth.

Hiring:IBM, Accenture, Deloitte...
💼

AI Engineer

₹18 - ₹35 LPA avg.

Design and develop AI-powered systems and applications to solve complex problems in various industries and domains.

Hiring:Facebook, Apple, Netflix...
💰

Salary Potential

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Freshers
₹8 - ₹15 LPA
Mid-Level
₹15 - ₹30 LPA
Senior
₹30 - ₹50 LPA
🚀

Growth Trajectory

The demand for machine learning and AI professionals is growing rapidly, with a wide range of career opportunities available in various industries and domains. With experience and skills, professionals can move into leadership roles, such as technical lead, product manager, or director of engineering, or start their own companies and startups.

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Top Hiring Partners

GoogleAmazonMicrosoftFlipkartPaytmIBMAccentureDeloitte

Competency Framework

🛠️ Technical Mastery

PythonTensorFlowPyTorchScikit-learnPandas

🧠 Leadership & Soft Skills

CommunicationTeamworkProblem-solvingTime managementLeadership

Tools & Platforms

Jupyter NotebookGoogle ColabAmazon SageMakerMicrosoft Azure Machine LearningIBM Watson Studio
Financial ROI

Salary & Compensation

Analyze the market value and earning potential for professionals graduating from the program.

What drives these numbers?

Location
Industry
Experience
Skills
Company Size
💡

Did you know? Professionals with specialized executive certifications often see a 30-50% hike when switching roles.

Projected Growth Path

Annual INR
₹8 - ₹15 LPA
Entry Level0-3 Yrs
₹15 - ₹30 LPA
Mid-Senior4-8 Yrs
₹30 - ₹50 LPA
🚀
Leadership8+ Yrs
Competency Framework

Skills You Will Master

A comprehensive toolkit of technical, strategic, and interpersonal skills designed to future-proof your career in .

💻

Technical Mastery

5 Core Competencies
Python
TensorFlow
PyTorch
Scikit-learn
Pandas
🧠

Leadership & Strategy

5 Soft Skills
Communication
Teamwork
Problem-solving
Time management
Leadership
🛠️

Tools & Platforms

5 Technologies
Jupyter NotebookGoogle ColabAmazon SageMakerMicrosoft Azure Machine LearningIBM Watson Studio

Proficiency Progression Path

1
Foundation

Core concepts & theory

2
Application

Hands-on projects & labs

3
Analysis

Strategic decision making

4
Expertise

Industry-ready mastery

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Alumni Success

Voices of Impact

Hear from leaders who have redefined their careers through the program.

The PG program in Machine Learning & AI at IIIT Bangalore provided me with the skills and knowledge I needed to transition into a career in machine learning. The program was well-structured, and the faculty and industry experts were knowledgeable and supportive.

R

Rahul Sharma

Machine Learning Engineer

Google

More Stories

2 Reviews
🚀
95%Career Transitions
💰
50%Avg. Salary Hike
🌍
10k+Global Alumni
4.8Course Rating
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Support Center

Frequently Asked Questions

Find answers to common queries about eligibility, curriculum, and admissions.

💬

Still have questions?

Our academic counselors are here to help you make the right choice.

The eligibility criteria for the program include a bachelor's degree in Computer Science, Engineering, or a related field, and 2-5 years of experience in a related field. Additionally, programming skills in Python or other languages, familiarity with machine learning and AI concepts and techniques, and strong analytical and problem-solving skills are required.
The duration of the program is 11 months.
The average salary range for machine learning and AI professionals in India is ₹8 - ₹50 LPA, depending on experience, skills, and location.