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.
FAQs
Is AI and machine learning courses in India a high paying job?
Yes, Artificial Intelligence (AI) and Machine Learning (ML) careers are among the top paying job sectors in India. The demand for skilled professionals far exceeds the supply which leads to high compensation.
Which course is best for AI and Machine learning?
Are AI courses with certification accepted by companies in India?
What is the AI and machine learning course fee in India?
How to choose the right machine learning and Ai course to uplift the Career?
What is the tenure of the AI / ML executive diploma program?
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