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

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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

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

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.

Specialisation 1 - Advanced ML & AI Track

Specialisation 2 - ML & DL Track

This module focuses on preparing the learners for placement based on their capabilities and performance during the course. Work on multiple projects with your Project Mentor to sharpen your ML skills. Learn advanced ML concepts and AI fundamentals to enhance your profile.

What Will You Achieve?

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

Have questions? Contact us

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Hiring Partner's Quote

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Tools & Technologies Covered

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

Know More

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:

Entertainment Analytics

YouTube maintains a list of the top trending videos

YouTube uses a combination of factors including measuring users interactions

E-Commerce Marketing Analytics

E-commerce businesses need to analyse market trends to increase their sales

The student has to use a k-means clustering algorithm to cluster customers with similar interests

Natural Language Processing -NLTK

Classification of text into various categories is a standard problem in NLP

Perform a binary classification on a text paragraph and categorise the messages

Healthcare Analytics

Subjects receiving the same vaccine often show different levels of immune responses

Some may even present adverse side effects to the vaccine

Climate Change Analysis

Perform in-depth analysis to study climate change over the years.

Learn how researchers use analytics for environmental studies.

Tensorflow 2.0

The CIFAR-10 dataset is a collection of images used to train machine learning and computer vision algorithms

The CIFAR-10 dataset contains 60,000 [32x32 colour images in 10 different classes]

Finance Analytics

When a company receives a loan application, it has to approve the loan based on the applicant’s profile

It identifies factors which indicate if a person is likely to default

Projects That You Will Work On

Entertainment Analytics

YouTube maintains a list of the top trending videos

YouTube uses a combination of factors including measuring users interactions

E-Commerce Marketing Analytics

E-commerce businesses need to analyse market trends to increase their sales

The student has to use a k-means clustering algorithm to cluster customers with similar interests

Natural Language Processing -NLTK

Classification of text into various categories is a standard problem in NLP

Perform a binary classification on a text paragraph and categorise the messages

Healthcare Analytics

Subjects receiving the same vaccine often show different levels of immune responses

Some may even present adverse side effects to the vaccine

Climate Change Analysis

Perform in-depth analysis to study climate change over the years.

Learn how researchers use analytics for environmental studies.

Tensorflow 2.0

The CIFAR-10 dataset is a collection of images used to train machine learning and computer vision algorithms

The CIFAR-10 dataset contains 60,000 [32x32 colour images in 10 different classes]

Finance Analytics

When a company receives a loan application, it has to approve the loan based on the applicant’s profile

It identifies factors which indicate if a person is likely to default

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.

Faculty

Kumar Sundaram

Data Science & Analytics | Ex-Flipkart | DCE

Kumar's tech expertise includes Analytics/Machine Learning using SAS/R/Python/Tableau/Excel. He has extensive experience in building technical teams and products and vast experience in business development pertaining to schools, universities, and educational institutions by large. In addition, he has gained knowledge and expertise in Underwriting Strategies, Risk Scores and Modelling, Analytics, Transformation, and Risk and Information Management.

Karthik C

Head of Analytics, Imarticus Learning | Ex-Amazon | Ex-MuSigma

Mr Karthik has 9+ years of experience in the data science domain where he worked with companies like Mu Sigma and Amazon. He has solved a diverse set of business problems for various Fortune 100 clients leveraging his experience in Machine Learning (ML), Text Analytics, Natural Language Processing (NLP) and Deep Learning. He is an alumnus of RV College of Engineering, Bangalore.

Arul Francis

40 Under 40 Data Scientist in India 2021

Arul's dynamic career spans over 12 years in Analytics. His expertise includes good analytical, project management, and association-building skills. In addition, he is a strategic thinker and a quick learner who can come up with several solutions to solve problems using analytics. He also assists the senior management in his organisation with business development.

Arun S Kumar

Software Engineer | IBS Software | Digital Innovation (DxI) | Nature Language Processing (NLP)

Arun's tech expertise includes working in Digital technologies, including Automation, Machine Learning (ML), Natural Language Processing (NLP), and Artificial Intelligence (AI). He holds experience in Banking, Insurance, Healthcare, and E-commerce domains. He is Certified in Machine Learning and Six Sigma Implementation Techniques. He possesses strong knowledge in Data Mining, Data Transformations, Cognitive Algorithms, Image structures, and Deep Neural Networks. He's an Expert in building Search Engines, Chatbots, Recommendation Systems, Anomaly Detection Systems, and Computer Vision Capabilities. He also works on Data Governance, Image Processing, CRM Intelligence, Business Process Improvements, IT Operations, and Robust Process Automation.

Shan Thiagarajan

Independent Consultant and Trainer (Data Science and Business Analytics) at Independent

Shanmugam is a Freelance Consultant/Trainer. He provides Consulting and Training in Data Science, Data Warehouse, Data Architecture, Database Technologies, Data Mining/Business Analytics, and Machine Learning. In addition, he's an expert with various ML prediction models.

Kumar Sundaram

Data Science & Analytics | Ex-Flipkart | DCE

Karthik C

Head of Analytics, Imarticus Learning | Ex-Amazon | Ex-MuSigma

Karthik C

Head of Analytics, Imarticus Learning | Ex-Amazon | Ex-MuSigma

Arul Francis

40 Under 40 Data Scientist in India 2021

Arun S Kumar

Software Engineer | IBS Software | Digital Innovation (DxI) | Nature Language Processing (NLP)

Shan Thiagarajan

Independent Consultant and Trainer (Data Science and Business Analytics) at Independent

Kumar Sundaram

Data Science & Analytics | Ex-Flipkart | DCE

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.

Job Guarantee

Our career services will introduce you to existing data analytics 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 confidently prepares you for job interviews.

Career Mentoring

Job Guarantee

Our career services will introduce you to existing data analytics 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 confidently prepares you for job interviews.

Career Mentoring

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

Gaurav Deshmukh

Fresher

Data Scientist, Github

Abhimanyu Kaushik

Fresher

RAN Engineer

Vipul Tyagi

RAN Engineer

Prageesha Chawla

Fresher

Data Analyst Intern

Sathiya Prasad

Fresher

Data Analyst

Imarticus Learning has placed more than 56,000 students in various industries.

Download Report

Build Your Success Story With Imarticus

I enrolled on a Postgraduate Program in Data Analytics and Machine Learning to go ahead with my data science career. This platform gave me enough material to read and ample time to explore things.This process helped me successfully transform my career from a Software Engineer to a Data Scientist. I am thankful to Imarticus for guiding me on this journey.

Piyusha Pardesi

iElektron

I am incredibly fortunate to be a part of Imarticus Learning. The faculty and placement team are committed to shaping a student's future.The program consisted of many project-based evaluations and faculty connections. In addition, Imarticus Learning mentors helped us enhance my academic and interpersonal skills.

Shreet Memani

Guru & Jana

I completed my civil engineering from Nitte Meenakshi Institute of Technology in Bangalore. I got placed at Gain Insights Solutions Pvt. Ltd. Bangalore. I owe my success in my analytics career to my trainer, who helped me achieve my placement and training.

Chethan B C

Gain Insight

I found out about Imarticus from a friend. After hearing about his experience, I decided to join for the upskilling and the placement opportunities, and I haven't regretted it ever since. The management staff and teaching staff work in harmony, and they are quick to resolve any of your queries. To summarise, it was an excellent experience.

Shahreyar Najeeb

Capgemini

I am delighted to share with you the exciting news that I will soon join Tiger Analytics as a Senior Software Engineer.The team at Imarticus Learning created a great learning model and process that helped me prepare for multiple interviews.

Ankit Hiremath

Tiger Analytics

Imarticus played a vital role in starting my career in the data science field. Projects, exams, presentations, soft skill sessions and mock interviews helped me to get selected by one of the largest pure-play data science solutions and services companies, Saama Technologies. Thank you Imarticus for being a part of my journey.

Tejas Trivedi

Saama Technologies

Firstly, I thank Imarticus Learning for providing an opportunity to start my career in the data science field that I am passionate about. I appreciate their thorough support and guidance for our placements. Thanks for everything, Imarticus!

Harshitha Chippalaturthy

I gave 3 interviews and was selected for the 3rd one. The training and placements were good!

Jaideep Somarouthu

Thank you for your inspiring, relieving, insightful and energizing session! You opened up valuable new perspectives on my current situation. It is amazing, I was able to view my situation from a completely new angle in just an hour and see the road to my ultimate dream and solutions.

Shubham Bhunia

I am delighted to share that I got placed in a very reputed organisation because of Imarticus as they can bring your best out of you and you will not realise that when you become so good. The best part is their professors, They will guide you as your family or friends.

Rishabh Sharma

Ernst & Young

After completing my graduation in B.Com I chose a career in data analytics. Being from a non-technical background, this was quite new. Joining a course from Imarticus Learning has been my best decision. The trainers and coordinators were very polite and helpful. Thank you Imarticus for being a part of my journey.

Bipasha Sikarwar

CBRE

I wanted to build my career in analytics. Joining an Imarticus Learning course was a wise decision in this regard. The course provided me with an overview of the fundamentals of data analysis. The trainers and coordinators were very polite and helpful.

Archana Pandita

V mart

I loved the infrastructure of Imarticus Learning and its teaching methodology and easy access to recorded lectures. Even though I was from a non-technical background, they helped me understand the course at a basic level with clarity of concepts. Finally, I thank the placement team for helping me get placed in V-Mart Retail.

Akash Sharma

V mart

Imarticus provides excellent exposure to students to showcase their skills and helps develop their knowledge to achieve their dream careers. The knowledge from faculty and support from the placement cell helped me bag a job in the first company I applied for.

Sree Raj CH

Tyson Foods

Piyusha Pardesi

iElektron

Shreet Memani

Guru & Jana

Chethan B C

Gain Insight

Shahreyar Najeeb

Capgemini

Ankit Hiremath

Tiger Analytics

Tejas Trivedi

Saama Technologies

Harshitha Chippalaturthy

I gave 3 interviews and was selected for the 3rd one. The training and placements were good!

Jaideep Somarouthu

Shubham Bhunia

Rishabh Sharma

Ernst & Young

Bipasha Sikarwar

CBRE

Archana Pandita

V mart

Akash Sharma

V mart

Sree Raj CH

Tyson Foods

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

ET Best Education Brands 2022

Indian Education Awards 2022

Gyanodaya Godda initiative bags Silver Award at the National E-governance Awards

Sonya Hooja - Most Promising Women Leaders in 2021 by the Economic Times

Certification of Recognition for ‘Best E-Learning Company Of The Year’

The Education Innovation Conclave and Awards 2020 For The Best Hiring or Internship Solution

Business World Education - 40 Under 40

FAQs

KPMG in India and Imarticus will deliver co-branded seminars, round tables, and industry reports related to Analytics. You will gain industry expertise and learn the latest developments in the analytics field with industry experts. KPMG in India will assess and award projects submitted by you for the Data Science Project competition. Winning students get a KPMG-branded certificate, improving their employability.

In almost every sector, artificial intelligence influences how people will live in the future. It already serves as the primary force behind developing technologies like big data, robotics, and the IoT, and it will continue to do so for the conceivable future.

Starting salaries for recent graduates in artificial intelligence positions range between Rs. 6 LPA and Rs. 12 LPA on average, with top-tier employers providing significantly higher compensation.

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.

To understand the theory and the methods employed, you must have a background in engineering, physics, math, or statistics.

Artificial Intelligence and Machine Learning reduce the amount of time and money needed to complete complex tasks. They make multitasking possible and lighten the demand for available resources.
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 program is ideal for working professionals with up to 5 years of experience looking for a career transition into data science, machine learning and AI.This course best suits the following roles: Software Developer, Tester, QA, Networking professional, System Admin, Product and Program management professionals, MIS professionals, dashboard/BI professionals, Business Ops/Finance/Supply chain professional (Analyst or Manager roles), Marketing analytics. *Current CTC should be below 9 LPA and experience below 5 years.

The full-time weekend program is a 9-month program conducted on weekends for working professionals. You will attend live sessions on Saturday and Sunday each week. Please connect with your advisor to check the schedule and time.

The core learning will happen via classroom or online live lectures depending upon the batch selected. In addition, you will get recordings of the lectures for revision at your own convenience. You will also have access to student notes, practice projects, additional study material and quizzes on our fully-integrated online learning portal.

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.

In order to be eligible for job placement, candidates must meet the following criteria:

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

Our career services provide vital support to our students to prepare themselves for job opportunities. It includes the following:
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.

The PG Program in Machine Learning and Artificial Intelligence costs INR 2,25,000/-.

A hackathon is an online competition where candidates solve a complex business problem within a limited timeframe. Our hackathons give you the opportunity to compete with numerous students and stand out from the crowd. Hackathons are known to inculcate a critical thinking capability in data science aspirants and push them to perform better. Hiring managers prefer to hire winners of data science hackathons.

The program manager will work closely with you throughout the course to facilitate a better learning experience by resolving your queries and connecting you with trainers and industry experts. They will also discuss your progress, grades, attendance, and other key elements associated with your progress. They will provide the guidance and support you need to meet your career objectives.