Postgraduate Program In Machine Learning And Artificial Intelligence

Become a machine learning and artificial intelligence expert with a job assurance program

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Classroom & Live Online Training

Outstanding Education Company for Data Science and Analytics in 2024 by Observe Now

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9 Months Program

300+ Learning hours

25+ Projects

10+ Tools

15000+

Students Placed

22.5LPA

Highest Salary

52%

Average Salary Hike

2000+

Hiring Partners

15000+

Students Placed

22.5LPA

Highest Salary

52%

Average Salary Hike

2000+

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 job assurance 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.

100% Job Assurance

Our data science course comes with a job assurance that offers you 10 guaranteed interviews at over 500 top-tier partner organisations hiring data science and analytics professionals.

Job-specific Curriculum

Learn the practical applications of data science, Python, SQL, data analytics, power BI, and tableau while gaining expertise in these subjects.

Live Learning Module

Our expert faculty delivers our robust curriculum using an interactive module and hands-on training methods to prepare you to work in various data science roles.

Real-world Projects

Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by industry experts to make you job-ready.

Dedicated Career Services

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

Imarticus 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.

Trusted By Millions Of Learners Around The World

4.7

4.5

4.4

4.1

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.

Our Integrated Skills for Professional Excellence (ISPE) Sessions offer essential guidance on starting and prioritising your learning. These sessions provide a deep understanding of domain essentials and equip you with the professional and interpersonal skills needed to thrive in today’s competitive job market.

What Will You Achieve?

Gain expertise in data analysis, visualisation, storytelling, and problem-solving.

Enhance strong communication, presentation, interpersonal skills, and critical thinking.

Topics

PowerPoint for Corporate

Canva- Designing

Problem Solving- Guesstimates

Mastering Fundamentals of Excel

The Art of Storytelling Using Excel

Art of storytelling using PowerBI

What is Data Science & Importance of Data

Exploratory Data Analysis

Introduction to Machine Learning

Data Storage & fundamentals of Databases

Python Bootcamp - Start Your Tech Adventure

Nonverbal cues - Body Language, which is very vital for interview purposes

Personality Development and Confidence Building

FAQs - Interview Prep - Throwing some insights on how to answer these questions

Word Power and Vocabulary Building

SMART Technique for Productivity

Foundation

Get started by understanding the core fundamentals of data

The module covers the basics of Excel for data science. Learn Excel essentials to get a 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

Intro to Excel

Importing data

Formatting in Excel

Excel Formulas

Data Validation

Calculations

Lookup and Reference

Pivot Tables

Charts

What-if Analysis

Intro to Macros

The module introduces learners to SQL programming. Learn how to query data from databases and create datasets for data analysis.

What Will You Achieve?

Build a strong foundation of SQL 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

Exercise on SQL

Core Track

Gain practical exposure to tools like Excel, SQl, Python & more, so that you learn by doing.

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

Introduction to Python

Variables

Functions

Python Operators

Python Flow Controls

Conditional Statements

Loops

Python Collection Objects

Strings
List
Tuple
Dictionary

List Comprehension

User defined Functions

Function Arguments

Lambda 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

Heat Map

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

- Statistic v/s Parameter
- Null v/s alternate hypothesis
- Types of Errors
- Level of significance
- P-value
- One-tailed v/s Two-tailed test

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

Decomposition Variability

Metrics to Evaluate Model

Feature Scaling

Feature Selection

Regularisation Techniques

Project - Property Price Prediction

Intro to Logistic Regression

Maximum Likelihood Estimation

Performance Metrics

Performance Measures

Bias-Variance Tradeoff

Overfitting and Underfitting Problems

Cross Validation

Project - Vaccine Usage Prediction

Introduction to Decision Tree

Entropy

Information Gain

Greedy Algorithm

Decision Tree: Regression

Gini Index

Tuning of Decision Tree-Pruning

Project - Heart Disease Prediction

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

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

This module provides a comprehensive introduction to cloud computing, including AWS services, web development fundamentals using HTML, Flask, and Visual Studio, and practical experience deploying applications on AWS EC2

What Will You Achieve?

Understand cloud concepts.

Learn to use AWS services

Build and deploy web applications

Topics

What is Cloud Computing?

Advantages & Disadvantages of Cloud Computing

Infrastructure as a Service (IAAS)

Platform as a Service (PAAS)

Software as a Service (SAAS)

Major Players in Cloud Computing

Introduction to AWS

AWS Building Blocks

AWS well architected framework – six pillars

AWS Cloud Tour

Build a Simple Regression Model

Steps to install Visual Studio

Writing HTML Script

Web Application through Flask

What is Amazon EC2

Getting started with EC2

Step by step deployment

The module introduces the learners to deep learning and neural networks. Use Keras and tensorflow to implement deep learning algorithms . Get a complete understanding of how organisations are applying DL to solve their problems and grow the business.

What Will You Achieve?

Master deep learning concepts.

Build industry-ready DL projects.

Topics

What is Deep Learning

Introduction to Artificial Neural Network

Biological and Artificial Neurons

Activation Functions

Perceptron

Feed Forward Network

Multi Layer Perceptron (MLP)

Back Propagation

Deep ANN

Batch Normalization

Introduction to Tensors & TensorFlow

TensorFlow 1x vs TensorFlow 2.0

Eager Execution in TensorFlow 2.0

What is Keras?

Different Models of Keras

Preprocessing Methods

What are the Layers in Keras?

Intro to CNN and CV

ntro to RNN and NLP

Concrete Strength Prediction using ANN

Optimization Algorithms

- Gradient Descent
- Stochastic Gradient Descent (SGD)
- Mini-Batch Stochastic Gradient Descent
- Stochastic Gradient Descent with Momentum
- AdaGrad
- RMSProp
- Adam

Loss functions

- Mean Squared Error
- Binary Cross Entropy
- Categorical Cross Entropy
- Sparse Categorical Cross Entropy

The module covers data visualisation with a popular business intelligence tool - Tableau. 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

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

Project - Mortgage Analysis

Advanced Track

Master core ML/DL concepts and build impactful real-world applications.

This module explores advanced machine learning topics, including ensemble methods (Bagging, Boosting) and frequent pattern mining. You'll learn through practical projects and gain valuable skills.

What Will You Achieve?

Sharpen ML skills through projects

Learn advanced ML skills

Topics

What is Ensembling?

Bootstrap Method

Bagging

Random Forest

Boosting

XGBoost

AdaBoost

Project - Credit Card Approval Prediction

Project - Credit Card Approval Prediction Contd.

Frequent Pattern Mining

Market Basket Analysis

Association rule mining

Apriori Algorithm

Practical Problem

Advantages/Disadvantages of Apriori

Project - Market Basket Analysis using Apriori

Introduction to RFM Analysis

What is Recency?

What is Frequency?

What is Monetary?

Data Requirements

Calculating RFM

Benefits of RFM

This module explores Deep Learning (DL) and Artificial Intelligence (AI), focusing on Convolutional Neural Networks (CNNs) for computer vision, Recurrent Neural Networks (RNNs) for Natural Language Processing (NLP), and transfer learning techniques.

What Will You Achieve?

Master core DL/AI concepts and algorithms

Develop practical projects in CV and NLP

Topics

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

Multi-class Classification of Natural Scenes using CNN

Transfer Learning – Introduction and Motivation

Transfer Learning –ConvNet

A Transfer Learning Scenario

ILSVRC

ImageNet

VGGNet (VGG16)/Inception/ResNet

Vehicle Classification using Transfer Learning models

Introduction to RNN

RNN Network Structure

Different Types of RNNs

Bidirectional RNN

Limitations of RNN

Sentiment Analysis using RNN

Intro to Gensim

LDA-Latent Dirichlet Allocation

NMF-Non negative Matrix Factorization

Intro to knowledge graph

Project on Topic Modelling and Document Clustering

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Analytics Centre of Excellence

Get Ready with exclusive sessions, hackathon, project competition and webinar by Imarticus Learning

The high impact benefits that you get at the Centre of Excellence by 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:

Targeted Marketing

Build a predictive model to predict the property valuations.

Learn how analytics is used by real-estate companies.

Heart-disease Prediction

Build a predictive model to analyse if a person suffers from heart disease.

Learn how analytics is used by healthcare professionals and hospitals.

Vaccine Prediction

Predict if an individual has been given a particular vaccine based on various medical attributes.

Find out how hospitals and healthcare professionals use analytics.

Taxi-fare Prediction

Predict taxi fares in a busy city using various journey-related attributes.

Learn how predictive analytics is used by online transportation companies like Ola and Uber.

Climate Change Analysis

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

Learn how researchers use analytics for environmental studies.

Product Pricing

Before introducing a new product, determine the pricing points for mobile phones that consumers will accept.

Find out how retail businesses establish their product prices.

Property Value Prediction

Create a predictive model to calculate property values.

Find out how real estate firms use analytics.

Vehicular Performance Prediction

Predict vehicular performance of heavy vehicles based on data collected from sensors of the vehicles.

Learn how analytics is used by automobile and transportation companies.

Projects That You Will Work On

Targeted Marketing

Build a predictive model to predict the property valuations.

Learn how analytics is used by real-estate companies.

Heart-disease Prediction

Build a predictive model to analyse if a person suffers from heart disease.

Learn how analytics is used by healthcare professionals and hospitals.

Vaccine Prediction

Predict if an individual has been given a particular vaccine based on various medical attributes.

Find out how hospitals and healthcare professionals use analytics.

Taxi-fare Prediction

Predict taxi fares in a busy city using various journey-related attributes.

Learn how predictive analytics is used by online transportation companies like Ola and Uber.

Climate Change Analysis

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

Learn how researchers use analytics for environmental studies.

Product Pricing

Before introducing a new product, determine the pricing points for mobile phones that consumers will accept.

Find out how retail businesses establish their product prices.

Property Value Prediction

Create a predictive model to calculate property values.

Find out how real estate firms use analytics.

Vehicular Performance Prediction

Predict vehicular performance of heavy vehicles based on data collected from sensors of the vehicles.

Learn how analytics is used by automobile and transportation companies.

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.

Data Scientist

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.

Data Analyst

Business Analyst

Business Intelligence Specialist

Business Analytics Professional

Analytics Manager

Data Science Consultant

Machine Learning Engineer

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 S... See More

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 Col... See More

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 busin... See More

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 str... See More

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.... See More

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

100% Job Assurance

Our career services will introduce you to existing artificial intelligence and machine learning job assistance opportunities.

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.

#10 Guaranteed Interviews

100% Job Assurance

Our career services will introduce you to existing data science and analytics opportunities and ensure that you land your dream job.

Profile Enhancement

We assist you in building a robust portfolio and resume 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 have analysed the most commonly asked interview questions and built a training module that confidently prepares you for job assurance.

Career Mentoring

#10 Guaranteed Interviews

100% Job Assurance

Our career services will introduce you to existing data science and analytics opportunities and ensure that you land your dream job.

Profile Enhancement

We assist you in building a robust portfolio and resume 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 have analysed the most commonly asked interview questions and built a training module that confidently prepares you for job assurance.

Career Mentoring

#10 Guaranteed Interviews

Imarticus Data Wars Hackathon

Participate in the national-level data science hackathon

Compete to solve a challenging data science problem

Sharpen your data science application skills

Enhance your CV by winning the hackathon

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

Dhanashree Gowda

Marketing Manager

Data Analyst

Jagdish Bhapkar

B.E Mechanical

Data Analyst

Varun HM

Assistant Engineer

Data Analyst

Chinmay Paranjpe

Masters in Mathematics

Associate Analyst

Apurva Salunkhe

Assistant Professor

Analyst

Avinash Karthikeyan

B.Sc.

Analyst

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

Download Report

Build Your Success Story With Imarticus

Imarticus Learnings PG Program in Data Science and Analytics is exceptional, with expert faculty simplifying complex concepts for all learners. The course aligns with industry standards, balancing theory and practice, while offering excellent career support and job placement assistance.

Vinayak Patnaik

MSCI

Imarticus Learnings Data Analyst course was comprehensive, blending key concepts with practical skills. Engaging faculty and strong placement support ensured a smooth career transition, making it a well-rounded learning experience for data analytics.

Shrikant Mythrala

Reliance General Insurance

I am grateful to Imarticus for allowing me to enhance my data analytics skill sets. I learned various tools like Python, machine, deep learning, and many more which helped me to boost my career. Not only that but also they guide me to get a junior data analyst role at one of the esteemed organizations like Tech Mahindra.

Manish Singh

Tech Mahindra

PG in Data Science and Analytics has been rewarding. Training covers fundamental and advanced concepts with approachable, knowledgeable faculty. The facultys real-world industry experience adds significant value. Exceptional placement and career services have prepared me for a successful career in data science

Himanshu Gangurde

Franklin Temptation

Imarticus Learning provided an enriching experience with excellent teaching, practical projects, skill-building tests, and strong placement support, greatly enhancing my professional growth.

Aniketh Gattupelli

Kotak Mahindra Bank

Completing the PG Certificate in Data Analytics and Machine Learning was transformative. The comprehensive curriculum and practical insights enhanced my skills for real-world applications. Grateful to professors Jagruti Pawashe and Nikita Tandel, I highly recommend this program to aspiring Data Science professionals.

Jay Rathod

Neosof

I had a great experience with knowledgeable faculty who clarified my doubts and helped secure a placement. I highly recommend this program for enhancing skills and career prospects.

A Divya

I highly recommend Imarticus Learning for upskilling. They have knowledgeable trainers and they teach using a good mix of theory and hands-on practical learning. After the program, I felt confident about my new skill set and soon secured placement in an industry-leading company. Thank you to all the trainers and the placement team.

Dinesh Malappagari

Imarticus transformed my data career! Their Analytics and Machine Learning program helped me land my dream job at Jio Haptik. The practical training and guidance were invaluable. Highly recommend Imarticus for upskilling and career growth!

Kaushiki Gupta

Program Fee

₹ 1,98,000

(Inclusive of all taxes)

Instalments

EMI Options

Registration Fees

₹ 15,000

Instalment 1

₹ 70,200

Instalment 2

₹ 56,400

Instalment 3

₹ 56,400

Moments Of Honour

One of the World's Most Transformational Growth Companies in Digital Learning and Workforce Skilling in 2024

Innovative 21st - Century Skills Solutions

Most Promising Digital Learning Platform Brands

Best Education Brand in Analytics

Best Institute to Study Data Science 2023

Edtech Business of The Year Analytics

Best Full Stack Development Program

Best Certification Courses

Best Education Provider for Finance by Elets World Education Summit 2024

Outstanding Education Company for Data Science and Analytics in 2024

FAQs

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 opportunities 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.

We will cover machine learning and deep learning and AI techniques, along with real-world projects to help you master the topics. We 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.

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.

To be eligible for job placement support, 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 interview 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 interviews.

Profile enhancement:

Enhance your profile with a GitHub project portfolio and Hackathon results.

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 1,98,000.

A hackathon is an online competition where candidates solve a complex business problem within a limited timeframe. Our hackathons allow you to compete with numerous students and stand out from the crowd. Hackathons are known to teach critical thinking capabilities to 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.