
Postgraduate Program In Machine Learning And Artificial Intelligence
Become a machine learning and artificial intelligence expert with a job-guarantee program
Weekend
Classroom & Live Online Training
9 Months Program
300+ Learning hours
25+ Projects
10+ Tools
1500+
Students Placed
22.5LPA
Highest Salary
52%
Average Salary Hike
400+
Hiring Partners
1500+
Students Placed
22.5LPA
Highest Salary
52%
Average Salary Hike
400+
Hiring Partners

Our Alumni Work At

Join The Best Machine Learning And Artificial Intelligence Course
Learn how to develop machine learning models from the ground up and use them to create AI solutions. This guaranteed placement program is for working professionals (with up to 5 years of experience) who want to build a data science, machine learning, or artificial intelligence career. With a comprehensive learning track, you'll learn SQL application, Python, Machine Learning, and Data Visualisation with Tableau.

Job Guarantee
Our program comes with a job guarantee that offers you a chance to be placed at over 500 top-tier partner organisations hiring machine learning and artificial intelligence professionals.

Job-specific Curriculum
Understand the fundamentals of machine learning (ML) and artificial intelligence (AI), Python, SQL and Tableau with their functional applications. We’ve built customised learning tracks to prepare you for artificial intelligence roles like data scientist, AI engineer, business analyst and machine learning engineer.

Live Learning Module
Our expert faculty makes you job-ready using hands-on training methods and constantly supports your learning experience using machine learning and artificial intelligence modules.

Real-world Projects
Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by our industry partners to make you a top candidate for potential employers.

Dedicated Career Services
Our career services include resume development, profile enhancement, career mentorship, interview preparation workshops and one-on-one career counselling to ensure you land the right job.

KPMG COE Organised Hackathons
Make your resume stand out by participating in coding hackathons to tackle complex business problems and get an opportunity to compete in a national-level competition.

Job Guarantee
Our program comes with a job guarantee that offers you a chance to be placed at over 500 top-tier partner organisations hiring machine learning and artificial intelligence professionals.

Job-specific Curriculum
Understand the fundamentals of machine learning (ML) and artificial intelligence (AI), Python, SQL and Tableau with their functional applications. We’ve built customised learning tracks to prepare you for artificial intelligence roles like data scientist, AI engineer, business analyst and machine learning engineer.

Live Learning Module
Our expert faculty makes you job-ready using hands-on training methods and constantly supports your learning experience using machine learning and artificial intelligence modules.

Real-world Projects
Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by our industry partners to make you a top candidate for potential employers.

Dedicated Career Services
Our career services include resume development, profile enhancement, career mentorship, interview preparation workshops and one-on-one career counselling to ensure you land the right job.

KPMG COE Organised Hackathons
Make your resume stand out by participating in coding hackathons to tackle complex business problems and get an opportunity to compete in a national-level competition.

Job Guarantee
Our program comes with a job guarantee that offers you a chance to be placed at over 500 top-tier partner organisations hiring machine learning and artificial intelligence professionals.

Job-specific Curriculum
Understand the fundamentals of machine learning (ML) and artificial intelligence (AI), Python, SQL and Tableau with their functional applications. We’ve built customised learning tracks to prepare you for artificial intelligence roles like data scientist, AI engineer, business analyst and machine learning engineer.

Live Learning Module
Our expert faculty makes you job-ready using hands-on training methods and constantly supports your learning experience using machine learning and artificial intelligence modules.

Real-world Projects
Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by our industry partners to make you a top candidate for potential employers.

Dedicated Career Services
Our career services include resume development, profile enhancement, career mentorship, interview preparation workshops and one-on-one career counselling to ensure you land the right job.

KPMG COE Organised Hackathons
Make your resume stand out by participating in coding hackathons to tackle complex business problems and get an opportunity to compete in a national-level competition.
Curriculum
A progressive curriculum and learning methodology make our program ideal for those seeking positions in top companies requiring artificial intelligence and machine learning skills.
Foundation
We’ve added a foundation module for those who have no programming knowledge.
The module covers the basics of programming for non-programmers. Learn programming concepts and implement those concepts to write efficient code. Get introduced to Lists and OOPS concepts.
What Will You Achieve?

Build a solid foundation for programming

Practice coding skills with 20+ coding questions
Topics
Introduction to Programming
Variables & Arithmetic Expressions
Functions
Data Types
Conditions and Conditional statements
Lists
OOPS
Core Track
Learn the principles of data science, machine learning and python programming in the core track.
The module covers the basics of Excel for data science. Learn Excel essentials to get strong hold on using Excel for data analysis. Get introduced to pivot tables, formulae and charts.
What Will You Achieve?

Build strong foundation of Excel for data analysis

Summarise data with pivot tables and charts
Topics

Pivot tables, Charts and Look up
The module introduces learners to SQL programming. Learn how to query data from the databases and create datasets for data analysis.
What Will You Achieve?

Build a strong SQL foundation for data querying

Create datasets for data analysis
Topics

Introduction to SQL

DDL Statements

DML Statements

DQL Statements

Aggregate Functions

Date functions

Union, Union All & Intersect Operators Joins

Views & Indexes

Sub-Queries
The module introduces the learners to Python programming. Work with multiple Python data science libraries to execute essential tasks like mathematical calculations, data manipulation, etc. Learn data visualisation with Python.
What Will You Achieve?

Master Python programming

Run data analysis process using Python libraries

Create useful charts for data visualisation
Topics
Python Introduction
Variables
Functions
Python Operators
Python Flow Controls
Conditional Statements
Loops
User defined Functions
Function Arguments
Lamda Functions
Introduction to NumPy
NumPy Array
Creating NumPy Array
Array Attributes
Array Methods
Array Indexing
Slicing Arrays
Array Operation
Iteration through Arrays
Introduction to Pandas
Pandas Series
Creating Pandas Series
Accessing Series Elements
Filtering a Series
Arithmetic Operations
Series Ranking and Sorting
Checking Null Values
Concatenate a Series
Pandas Dataframe - Introduction
Dataframe Creation
Reading Data from Various Files
Understanding Data
Accessing Dataframe Elements using Indexing
Dataframe Sorting
Ranking in Dataframe
Dataframe Concatenation
Dataframe Joins
Dataframe Merge
Reshaping Dataframe
Pivot Tables
Cross Tables
Dataframe Operations
Checking Duplicates
Dropping Rows and Columns
Replacing Values
Grouping Dataframe
Missing Value Analysis & Treatment
Visualisation using Matplotlib
Plot Styles & Settings
Line Plot
Multiline Plot
Matplotlib Subplots
Histogram
Boxplot
Pie Chart
Scatter Plot
Visualisation using Seaborn
Strip Plot
Distribution Plot
Joint Plot
Violin Plot
Swarm Plot
Pair Plot
Count Plot
Heatmap
Summary Statistics
Missing Value Treatment
Dataframe Analysis using Groupby
Advanced Data Explorations
The module introduces the learners to statistics. Review, analyse, and draw conclusions from data. Apply quantified mathematical models to appropriate variables for data analysis.
What Will You Achieve?

Build a strong foundation for Statistics

Analyse data and draw conclusions using statistics

Implement mathematical models for data analysis
Topics

Introduction to Statistics

Random Variables

Descriptive Statistics

Measure of Central Tendency

Measure of Dispersion

Skewness and Kurtosis

Covariance and Correlation

What is Probability?

Events and Types of Events

Sets in Probability

Probability Basics using Python

Conditional Probability

Expectation and Variance

Probability Distributions

Discrete Distributions
- Uniform
- Bernoulli
- Binomial
- Poisson

Continuous Distributions
- Uniform
- Normal

Probability Distributions using Python

Introduction to Hypothesis Testing

Terminologies used in Hypothesis Testing

Procedure for testing a Hypothesis

Test for Population Mean

Small Sample Tests

Large Sample Tests

Test for Normality

One-way ANOVA

Assumptions

ANOVA Hypothesis

Post Hoc Test

Chi-Square Test

Chi-Square Test Steps

Chi-Square Example
The module introduces the learners to machine learning and explains how different ML algorithms work. It also covers optimisation of models and model tuning. Get a complete understanding of how organisations are applying ML to solve their problems and grow the business.
What Will You Achieve?

Learn machine learning algorithms and their applications

Analyse data and make predictions

Solve real-world business problems using ML
Topics

Introduction to Machine Learning

Machine Learning Modelling Flow

Parametric and Non-parametric Algorithms

Types of Machine Learning

Introduction of Linear Regression

Types of Linear Regression

OLS Model

Math behind Linear Regression

Decomposition Variability

Metrics to Evaluate Model

Feature Scaling

Feature Selection

Regularisation Techniques

Project - Property Price Prediction

Class Assessment on Linear Regression

What is Optimisation?

Gradient Descent

Adagrad Algorithm

Adam Algorithm

Prerequisites

Introduction to Stochastic Gradient Descent (SGD)

Preparation for SGD

Workflow of SGD

Implementation of SGD on Linear Regression

Classification with Linear Regression

Intro to Logistic Regression

Maximum Likelihood Estimation

Logistic Regression Using SGD

Performance Metrics

Introduction to Decision Tree

Entropy

Information Gain

Greedy Algorithm

Decision Tree: Regression

Gini Index

Tuning of Decision Tree

Introduction to Random Forests

Averaging

Bagging

Random Forest – Why & How?

Feature Importance

Advantages & Disadvantages

Project - Taxi Fare Prediction

Class Assessment on Classification

What is Clustering?

Prerequisites

Cluster Analysis

K-means

Implementation of K-means

Pros and Cons of K-means

Application of K-means

Project - E-commerce Customer Segmentation

Introduction to Hierarchical Clustering

Types of Hierarchical Clustering

Dendrogram

Pros and Cons of Hierarchical Clustering

Project - Travel Review Segmentation

Home Assignment on Clustering

Prerequisites

Introduction to PCA

Principal Component

Implementation of PCA

Case study

Applications of PCA

Project - Real Estate Data Analysis using PCA

Understand Time Series Data

Visualising Time Series Components

Exponential Smoothing

Holt's Model

Holt-Winter's Model

ARIMA

Project - Forecasting the Sales of a Furniture Store

Basics of Cloud

Machine Learning on Cloud

Deploying ML models on Cloud
The module covers data visualisation with two popular business intelligence tools - Tableau and Power BI. Create charts to articulate data and present insights to the business. Learn to showcase a data-based story to the stakeholders.
What Will You Achieve?

Master data visualisation with Tableau

Master data visualisation with Power BI

Create meaningful dashboards for the business
Topics

Introduction to Tableau

Data Connection

Tableau Interface and Basic Chart Types

Working with Metadata

Visual Analytics

Mapping

Calculations

Dashboard and Stories
Specialisation Track
At the end of the core module, we will evaluate your performance and assign a specialisation track with dedicated project mentors for optimal learning.
Sharpen ML skills through projects
Learn advanced ML skills
Get introduced to AI

What is Ensembling?

Bootstrap Method

Bagging

Boosting

XGBoost

AdaBoost

Some detailed project based on Classification

Association Rules - Apriori algo

Market Basket Analysis - Problem

Some detailed project based on RFM model

Convolutional Neural Network

Architecture of Convolutional network

Image as a Matrix

Convolutional Layer

Feature Detector & Feature Maps

Pooling Layer and Max pooling

Flattening Layer

Padding

Striding

Image Augmentation

Basics of Digital Images

What is Computer Vision

Image Formation

Image Processing – flipping, cropping, rotating, scaling

Drawing on images

Image statistics & Histogram

Spatial Resolution

Gray level/Intensity Resolution

Convolution

Smoothing, Sharpening

Color Space Conversion & Histogram

Thresholding for Binarization

Sobel’s Edge Detection Operator

Image Feature – Key-point and Descriptor

Stream Video Processing with OpenCV

Transfer Learning – Introduction and Motivation

Transfer Learning –ConvNet

A Transfer Learning Scenario

ILSVRC

ImageNet

VGGNet (VGG16)/Inception/ResNet

Project using Transfer Learning Model

Introduction to RNN

RNN Network Structure

Different Types of RNNs

Bidirectional RNN

Limitations of RNN

What is NLP?

Sentence Segmentation & Tokenization

Stemming, Lemmatization

Part of Speech – POS

Named Entity Recognition (NER)

Parsing, Chunking

Stop Words Removal (English)

Corpora/Corpus

Context Window – Bi-gram, N-gram

Applications of NLP

Introduction to the NLTK Library

Processing Raw Text

Normalizing Text

String Processing with Regular Expression

Extracting Features from Text

Bag-of-Words(BoW), TF-IDF

Intro to Gensim

LDA-Latent Dirichlet Allocation

NMF-Non negative Matrix Factorization

Intro to knowledge graph

Project using Topic Modelling(unsupervised text data)
Build a data science project on your own by applying the learning from the bootcamps. Learn planning the project and implementing it successfully. Present your project to a team of evaluators from the industry and get valuable feedback. Add the project to you GitHub project portfolio.
What Will You Achieve?
Learn to plan a data science project
Solve a real-world problem using data science
Gain confidence on your skills by presenting the project to industry experts
Topics
Combination of all skills learned throughout the course
Project Presentation Skills
Prepare for interview opportunities by polishing the key skills. Get support to create your digital profile and resume. Sharpen your interview skills through interview preparation workshops and expert-based mock interviews. Resolve your career-related queries through career mentorship session. At the end of the module, you will be ready for real interviews.
What Will You Achieve?
Build an exciting resume and digital profile for recruiters
Sharpen interview skills with mock interview sessions
Resolve any career related queries to have clarity and confidence
Topics
Resume-building
GitHub Project Portfolio
Interview Preparation
Mock Interviews
Career Mentorship
Hiring Partner's Quote

To appreciate your efforts for finding us the best of candidates for our Data Science team here in trinity mobility....see more



My sincere gratitude towards the service rendered as Learners primary skillset a...see more


The capacity to learn is a gift, The ability to learn is a skills,The willingness to learn is a choice! And that choice is given by Imarticus learning...see more
Tools & Technologies Covered
Analytics Centre of Excellence


Analytics Centre of Excellence
Get Industry Ready with exclusive sessions, hackathon, project competition and webinar by KPMG in India
The high impact benefits that you get at the Centre of Excellence by KPMG & Imarticus Learning:
Data Wars Hackathons
Data Dive Webinars
Data Verse Projects
Data Fluent Seminars
Data Decisions Roundtables
Projects That You will Work On
Get an opportunity to work on real-world projects, and case studies that will give you an overview of the data science and machine learning fields and provide you with the necessary technical skills. Some of the indicative projects are:
Projects That You Will Work On
Get an opportunity to work on real-world projects, and case studies that will give you an overview of the data science and machine learning fields and provide you with the necessary technical skills. Some of the indicative projects are:
Learning Journey



Will I Get Certified?
Upon successfully completing this program, you’ll earn a Postgraduate Program in Machine Learning and Artificial Intelligence certificate. This certification will add considerable value to your professional credentials.




What Can I Become?
Data Scientist
Data Analyst
Business Analyst
Business Intelligence Specialist
Business Analytics Professional
Analytics Manager
Data Science Consultant
Machine Learning Engineer
Data Scientist : A data scientist gathers, analyses and interprets large amounts of data. They develop statistical and predictive models and require high-level strategic and analytical skills.
Grow With Imarticus Learning
We’re focused on giving you an integrated learning experience. With our one-of-its-kind career support services, we continue to support you as you take a step into your career with a renewed perspective. Get access to over 500+ placement partners and explore unlimited opportunities.
An In-Depth Look At The Data Science Job Landscape
Download Report

Job Guarantee
Our career services will introduce you to existing artificial intelligence and machine learning opportunities and ensure that you land your dream job.

Profile Enhancement
We assist you in building a robust portfolio to ensure that your profile always catches the eye of prospective employers.

Resume Building
Redesign your resume with professional help and highlight your strengths in the best possible way.

Interview Prep
We’ve analysed the most commonly asked interview questions and built a training module that will help you crack job interviews.

Career Mentoring
Our dedicated program mentors are seasoned professionals that will assist you with the curriculum, ensure you are up-to-date with in-class happenings and motivate you to move ahead in your academic journey.

Imarticus Data Wars Hackathon

Participate in a national-level hackathon and test your knowledge

Compete with fellow data scientists to solve data science problems

Learn in real-time and sharpen your data science skills

Add your experience to your CV and improve your chances of getting employed
Top 3 Hackathon Winners


Imarticus Data Verse Project Competition

Participate in the national-level data science competition

Create a data science project and nominate it for competition

Showcase your data science skills for real-world applications

Enhance your CV by winning the project competition
Top 3 Project Competition Winners

Transform Your Career With Imarticus
Imarticus Learning has placed more than 56,000 students in various industries.
Build Your Success Story With Imarticus
Program Fee
₹ 2,25,000
(Inclusive of all taxes)
Instalments
EMI Options
Registration Fees
₹ 20,000
Base Fee
₹ 2,05,000
Instalment 1
₹ 69,700
Instalment 2
₹ 67,650
Instalment 3
₹ 67,650
Moments Of Honour
FAQs
Companies will pay you up to Rs. 17 LPA if you have a solid background in AI and at least 2-3 years of relevant professional experience.
The median wage range for an AI expert with 4–8 years of experience is between R 35–50 lakh per year.
Artificial intelligence engineers with more than ten years of expertise can make more than one crore each year.
AI/ML may be used across industries and has a large market potential.
AI/ML helps in decision-making by accelerating and improving the process. It improves the capabilities of people with disabilities.
This PG program is a thoroughly engaging, full-time course dedicated to helping you get a high-paying job in the Machine Learning and AI industry. The faculty will cover every Data Science, Machine Learning and AI concept from scratch, and help you practice the application of these skills with rigorous real-world business projects throughout the course. You will participate in multiple discussions with your peers and share knowledge with each other. All your academic queries will get resolved during live sessions. Your Program Manager will support you throughout your learning journey to ensure you meet your career objectives.
The program has a Core Track and a Specialisation Track for effective learning. The Core Track starts with the basics of SQL, Python programming and statistics for data science. Once you have built a strong foundation, we will teach you data science techniques and applications. We will cover machine learning and deep learning and AI techniques, along with real-world projects to help you master the topics. Once you finish the Core Track, we will evaluate your acquired skills and assign one of the specialisation tracks to you.
The specialisation track will prepare you for specific job roles by polishing the required skills further. We will provide personalised learning through dedicated Project Mentors who will guide you to solve multiple projects and become an expert. Our specialisation track is very powerful for placement conversions. Personalised learning helps our students stand out in the crowd and get the best job opportunity.
We will also prepare you for placement opportunities through soft skill sessions, interview preparation workshops, career mentoring, and mock interviews. In order to truly boost your skills, we will organise a competitive Hackathon, where multiple aspirants across India will participate and compete with each other. You will also get the opportunity to participate in our national-level Data Science Project Competition by building an application-based data science project. Each critical element of the program will be graded and your performance will be closely monitored.
- Grades should be at least 40%
- Pass all Imarticus mock interviews and the capstone project evaluation
- Have an average attendance of at least 80% for each module
Guaranteed interview opportunities:
Attend multiple interview opportunities with our hiring partners to grab the most suitable job for you.
Resume-building:
Redesign your CV to create the best profile and get noticed by hiring managers of your dream job companies.
Profile enhancement:
Enhance your profile with a GitHub project portfolio and Hackathon results, standing out in the crowd.
Interview preparation workshop:
Learn best practices and attend mock interviews with our industry experts to ace real interviews.
Career mentoring:
Resolve all your career-related queries in 1:1 sessions with industry experts.