Diploma in ML & AI

IIIT - Bangalore Online

Eligibility

Duration

Program Fee

Learning Mode

Accreditation

EMI Options

View Syllabus

Download Brochure

Diploma in ML & AI

IIIT - Bangalore Online

Duration

Program Fee

Learning Mode

Accreditation

EMI Options

View Syllabus

Download Brochure

Diploma in ML & AI

IIIT - Bangalore Online

Eligibility

Duration

Program Fee

Learning Mode

Accreditation

EMI Options

View Syllabus

Download Brochure

Uplift Your Career With Executive Diploma In Machine Learning And AI With IIIT-Bangalore

Artificial Intelligence has moved from being a future trend to becoming the backbone of modern businesses. Whether it's healthcare, finance, e-commerce, manufacturing, IT, or consumer tech companies today every industry relies on Machine Learning and AI. As a result, demand for professionals in ML & AI has skyrocketed. But with hundreds of Machine Learning and AI programs in the market, choosing the right one is a difficult choice. 

This is where the PG Diploma in Machine Learning and AI stands out. Backed by UGC/ AICTE approved IIIT- Banglore, a premier technology institute, enriched with rigorous hands-on projects, and built to help learners transition into high-growth AI roles. This program is one of India’s most credible upskilling pathways.

About IIIT-B PG Diploma in Machine Learning and AI

The PG Diploma in Machine Learning & AI is a comprehensive 12-month online program designed to help learners master the foundations of data, algorithms, neural networks, deep learning, NLP, and MLOps. 

Created for working professionals, this program blends academic depth with real-world, industry-ready skills enabling career transitions into roles such as ML Engineer, Data Scientist, AI Engineer, or NLP Specialist.

  • 12-month online program suitable for full-time professionals

  • Strong academic foundation by IIIT Bangalore

  • Tools & frameworks: Python, TensorFlow, Keras, MLflow & more

  • 30+ hands-on projects and capstone

  • Beginner-friendly with foundation modules

  • Includes GenAI & LLM basics

  • Globally recognized PG Diploma

  • EazyGrad counselling + EMI support

Accreditation Of IIIT-Bangalore

Eligibility Criteria For Admission

  • Bachelor's or Master’s Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA.

  • Basic understanding of programming recommended.

Ideal For:

  • Software developers transitioning into AI roles

  • Data analysts shifting to ML or Data Science

  • Engineers (CS/IT/ECE/Mechanical/EEE) looking to specialize

  • Professionals aiming for roles in ML/DL/NLP

  • Beginners wanting a structured roadmap into AI

  • Working professionals looking to uplift or change their career path

Fee Structure For Machine Learning And AI course

The total program fee is ₹3,40,000, with flexible EMI options starting at just ₹28,333/month for 12 months through EazyGrad. Apply now via EazyGrad to secure your seat and avail easy EMI and end to end free counseling support.

Fee Component

Amount

Total Program Fee

₹3,40,000

EMI Option starts at

Starting at ₹28,333/month

EMI Duration

12 Months

Support Provided

Free Counselling + Easy EMI Approval

Future-Ready Curriculum: What You Will Learn

The curriculum is structured to take you from fundamentals to advanced Machine Learning and AI concepts.

1. Advance Mathematical Foundations &  Programming - 5 Weeks

A strong base to handle ML models:

  • 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

Skills That You Will Acquire 

  • Python

  • MySQL

  • NumPy

  • Pandas

  • Matplotlib

  • Seaborn

  • Bokeh

  • MongoDB

  • PostgreSQL

  • Scipy

2. Machine Learning Techniques Classical ML - 5 Weeks

Core ML algorithms & workflows:

  • Data Analysis with Python

  • Exploratory Data Analysis

  • Inferential Statistics and Hypothesis Testing

Skills That You Will Acquire 

  • Python

  • NumPy

  • Pandas

  • Scipy

  • Matplotlib

  • Seaborn

  • Bokeh

  • Tableau

  • Power BI

3. Big Data And Cloud Computing - 5 Weeks

Modern AI backbone:

  • Cloud Computing with AWS / GCP / Microsoft Azure

  • Big Data Analysis with PySpark

Skills That You Will Acquire

  • AWS

  • GCP

  • Microsoft Azure

  • PySpark

  • EMR

  • EC2

  • FastAPI

  • Docker

  • Kubernetes

  • Databricks

4. Machine Learning Foundations - 5 Weeks

Build intelligent text-based applications:

  • Machine Learning Paradigms

  • Linear and Logistic Regression

  • K Nearest Neighbors

  • Regularisation and Hyperparameter Tuning

  • Decision Trees and Ensembles

  • Clustering Models

Skills That You Will Acquire

  • Python

  • StatsModels

  • Sklearn

5. NLP And Deep Learning - 5 Weeks

Stay future-ready with GenAI skills:

  • Deep Learning Fundamentals

  • Convolutional and Recurrent Neural Networks

  • Lexical / Syntactic / Semantic Processing

Skills That You Will Acquire

  • Python

  • TensorFlow

  • Keras

  • PyTorch

  • NLTK

  • Gensim

  • Spacy

6. Specialisation In MLOps & Deployment - 16 Weeks

A must-have for ML engineers:

  • Support Vector Machines

  • Naive Bayes

  • Feature Engineering and Model Selection

  • Dimensionality Reduction

  • Time Series Analysis

  • Association Rule Mining

  • Recommendation Systems

  • Explainable AI

  • Advanced Excel and Power BI with Copilot

  • Advanced Tableau

  • Data Storytelling Principles

  • Machine Learning with PySpark

  • Fundamentals of GenAI and Prompt Engineering

  • Google Looker Studio

  • Advanced Prompt Engineering

  • Large Language Model (LLM) Frameworks such as LangChain

  • GenAI ChatBot System Design and Development

  • Data Security and Governance

  • AI Ethics and LLM Security

  • Requirements Gathering and Guesstimates

  • Business Problem Solving and Project Management

  • Data Science Applications in Finance and Ecommerce

Skills That You Will Acquire

  • Python

  • Statsmodels

  • Sklearn

  • Eli5

  • Featuretools

  • Mlxtend

  • FB Prophet

  • Tableau

  • Excel

  • Power BI

7. Specialisation in Generative AI (Gen AI) - 16 Weeks

  • Distributed Data Processing with Hadoop Framework

  • Data Ingestion with Sqoop/Flume and HBase Data Querying with Hive

  • Cloud Native SQL Databases such as Amazon Aurora Google Spanner and Azure SQL

  • Cloud Native NoSQL Databases such as Amazon DynamoDB Google BigTable and Azure Cosmos DB

  • Linux and Java Programming

  • Datawarehousing and Cloud Data Warehousing

  • Cloud Data Warehouses such as Amazon Redshift Google BigQuery and Azure Synapse Analytics

  • Understanding ETL and ELT Pipelines

  • Advanced Data Modeling Concepts and Techniques

  • 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 Hub

  • Multicloud and Hybrid Cloud Operating Principles

  • Scala

  • Data Build Tool (DBT)

  • Azure Data Factory

  • Modern NoSQL Databases

  • Infrastructure as Code (IaC) with Terraform

  • Data Architecting Principles

  • Data Security and Governance

  • Decentralized Governance and Data Mesh

Skills That You Will Acquire

  • AWS

  • GCP

  • Microsoft Azure

  • Hadoop

  • Hadoop MapReduce

  • HBase

  • Hive

  • Sqoop

  • Flume

  • Amazon Aurora

Capstone That Adapts To Your Preference

  • Modify existing projects to match real industry data and business problems.

  • Create a completely new project of your choice.

  • Select from curated projects covering high-demand and trending industry domains.

Career Opportunities Post Completion Of The Course

Job Role

Average Salary Range

Machine Learning Engineer

₹8 – 18 LPA (approx.)

Data Scientist

₹10 – 20 LPA (approx.)

AI Engineer

₹12 – 25 LPA (approx.)

NLP Engineer

₹10 – 22 LPA (approx.)

MLOps Engineer

₹12 – 26 LPA (approx.)

Research Analyst

₹6 – 12 LPA (approx.)

GenAI Specialist

₹15 – 30 LPA (depending on expertise)

Why Choose IIIT–B for Executive Diploma in Machine Learning and AI

The Executive Diploma in Machine Learning and AI from IIIT–B is thoughtfully designed to meet evolving industry demands and emerging AI trends. The program empowers professionals with future-ready skills required to thrive in a fast-changing, technology-driven environment.

Key advantages of the program include:

  • A rigorous, industry-aligned and application-oriented curriculum

  • A flexible learning format designed for working professionals

  • Hands-on exposure through real-world projects and case studies

  • Instruction and mentorship from highly experienced faculty and industry experts

  • Strong industry recognition, along with career guidance and professional growth support

Placement Partners With IIIT- Bangalore

Why Enroll Through EazyGrad?

EazyGrad believes in “Bano Future Ready” and this program aligns perfectly with that mission.

With EazyGrad, you receive:

  • Dedicated academic counselling

  • Clarification on syllabus, outcomes & expectations

  • Easy EMI process

  • Transparent guidance with zero pushiness

  • End-to-end support until enrollment

Conclusion

The PG Diploma in Machine Learning and AI with IIIT-B is one of India’s most respected, future-proof upskilling programs. It blends academic depth, modern tools, real projects, and industry relevance making it ideal for professionals aiming to enter high-growth AI roles. EazyGrad makes this journey affordable and accessible through personalized counselling and EMI support ensuring that your path to an AI career is smooth, structured, and truly future ready.



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