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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom, Campus Based/Physical Classroom	Video and Text Based

Course Overview

Artificial intelligence and machine learning are two of the most popular emerging technologies globally. The Post Graduate Certificate Programme in AI and Machine Learning will introduce all the major AI and ML concepts. You will explore computational skills and skills to generate actionable insights. It will allow you to gain expertise in the domain. The programme has a duration of 12 months.

The AI and Machine Learning course has an experiential learning model. The course instructors will demonstrate the implementation of ML and AI concepts via hands-on tutorials. The course will have exercise-based sessions to help you implement your newly learned skills. These practices will help you recognize business insights that you can generate.

After completing the AI and Machine Learning training program, you will earn a certificate and IIM Alumni status from IIM Kashipur. Throughout the training, eminent faculty members of IIM Kashipur will guide you using an industry-relevant curriculum. Moreover, the course provides you with 30 hours of Tableau Masterclass for effective learning outcomes.

The Highlights

IIM Alumni status by IIM Kashipur
12-month course duration
Certificate from IIM Kashipur
30 hours of Tableau Masterclass by Nulearn
Blended, experiential learning model
Capstone project
Hands-on tutorials
Five-day campus visit to IIM Kashipur
Industry-relevant syllabus
Eminent faculty members from IIM Kashipur
Online sessions
Case studies and simulations

Programme Offerings

IIM Alumni status
12-month course duration
Certificate from IIM Kashipur
30 hours of Tableau Masterclass by Nulearn
Experiential learning model
Capstone Project
Hands-on tutorials
5-day campus visit to IIM Kashipur
Industry-relevant syllabus

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIM Kashipur

There is a separate course pricing for both Indian and international students of the AI and Machine Learning training.
The option to pay the fee via EMIs and bank loan facilities are available for candidates.
Apart from the course fee, there is a separate campus fee of Rs 40,000 and an Alumni charge of Rs 10,000.

Post Graduate Certificate Programme in AI and Machine Learning fee structure

Course option	Fee
For Indian resident students	Rs 1,70,000
For international students	$ 2800

Eligibility Criteria

To join the AI and Machine Learning course by Nulearn, you should hold a bachelor’s degree (any discipline) from a recognized university. Nulearn prefers candidates with Mathematics at the 10+2 level, but it is not mandatory. Also, one-year corporate work experience is desired but not necessary to apply.

What you will learn

Machine learningKnowledge of PythonKnowledge of Artificial Intelligence

By completing the PG Certificate Course in AI and Machine Learning, you will gain fluency in:

Comprehending the skill to generate actionable insights from real-time data
Understanding the foundations of artificial intelligence and concepts of machine learning
The significance of data-driven decision-making in an organization
Using Python and R for implementing ML concepts

Admission Details

Find the Post Graduate Certificate Programme in AI and Machine Learning by clicking https://www.nulearn.in/courses/post-graduate-certificate-program-in-ai-machine-learning#Syllabus.
Tap on “Apply Now” to reach the registration webpage.
Log in or register on the website with your details.
Tap on “Register” after filling in the particulars.
Verify your email via the verification mail and then return to fill out the application form by paying the application fee.
A panel of experts will review your application, and its result will be communicated to you through your registered email ID.
Once you get shortlisted, you will get your LOI.
Then, you can finish the admission procedure by paying the programme fee.

Application Details

The AI and Machine Learning certification program by Nulearn has an application form. You need to fill in your contact details and academic and professional information to proceed. You also have to upload your resume for the review process. When you get shortlisted by the selection committee, you will receive an LOI, and then, you can pay the course fee to start learning.

The Syllabus

Introduction to AI

Introduction to AI
Evolution of AI
Artificial Intelligence Goals

Business Analytics and Machine Learning

Overview of Business Analytics
Foundations of Business Analytics and Data-Driven Decision Making
Basics of Machine Learning

Introduction to R

Introduction to R Programming
Getting Started with R
Loading and Handling Data in R
Exploring Data in R
Operators and Expressions
Control Structures
Loops
Functions
R Packages

Introduction to Python

Basics of Python Programming
Operators and Expressions
Decision Statements
Loop Control Statements
Functions & Python Packages
Working with Files
Object Oriented Concepts

Probability and Random Variables

Random Experiment, Rules of Probability
Conditional Probability, Statistical Independence
Joint Probability, Marginal Probability
Random Variables, Expectation and Variance
Probability Distribution of Discrete and Continuous Variables

Descriptive Analytics

Measures of Central Tendency, Dispersion and Shape
Correlation and Covariance
Outliers and Missing Data

Inferential Analytics

Sampling Methods
Statistical Plots and Applications: Histogram, Bar Plot, Pie Chart, Box Plot, Density Plot, Scatter Plot etc.
Creating Awesome Plots using R/Python

Data-Driven Decision-Making

Problem-solving in Real/Simulated Business Conditions

Causal Inference

A Brief History of Causal Inference
Causal Machine Learning
Directed Acyclic Graph (DAG)

Building Statistical Models

The Art and Science of Statistical Modelling
Statistical Modelling from a Business Perspective

Dimensionality Reduction Methods

Principal Component Analysis

Regression Techniques

Motivation for Linear Regression
Ordinary Least Squares
Inference
Dummy Variables
Functional Forms
Advanced Techniques
Linear Probability Model

Time Series and Forecasting Techniques

Trends and Seasonality
Stationarity
Error Correction Models
One-step-ahead Forecast
Multiple-step-ahead Forecast

Classification Techniques

Logistic Regression
Decision Trees
Support Vector Machines

Evaluation of Classification Models

K-fold validation
ROC and AUC Metric
Confusion Matrix

Ensemble Techniques

Random Forest
Bagging
Boosting
Stochastic Gradient Boosting

Clustering Techniques

K-means
Hierarchical
DBSCAN

Clustering Concepts

Distance Types in Clustering
Clustering Performance Measures

Text Analytics Process & Applications
Building Corpus
Corpus Pre-Processing
Sentiment Analysis
Topic Modelling
Text Clustering

Introduction to Neural Networks
Tensors & Tensor Operations
TensorFlow & Keras
Deep learning & Anatomy of Neural Networks
Recurrent Neural Networks

Convolutional Neural Networks

CNN overview
Convolutional Layer
Pooling Layer
CNN Model Architecture
Building CNN Model

Image Analytics

Understanding Image
Image Formation
Image Segmentation
Pattern Recognition in Image
Image Pre-processing and Features Extraction

Computer Vision

Basic Concepts
Business Applications
Learning and Inference in Vision
Models for Computer Vision
TensorFlow Recognition Application
Challenges and Risks Associated with Implementing Computer Vision

Natural Language Processing

Fundamentals of NLP
Business Applications
Building NLP System

Capstone Project
Capstone Project Review
Capstone Project Presentations
Synthesis

Introduction

Introduction to Tableau
Data Connection
Tableau Environment

Basic Charts

Text Tables
Highlight Tables
Pie Charts
Bar Chart
Stacked Bar Chart
Side by Side Bar Chart
Circle Chart
Side by Side Circle Chart
Bubble Chart

Advanced Charts - I

Heat Map
Tree Map
Area Chart Discrete
Area Chart Continuous
Bullet Graph
Symbol Map
Filled Map
Histogram & Bins

Advanced Charts - II

Box and Whisker
Line Chart Continuous
Line Chart Discrete
Dual Line Chart
Dual Combination
Scatter Plot

Customising Charts

Percentage Of
Totals
Filters & Highlighters
Groups
Hierarchy
Sets
Parameters
Calculated Fields
Dashboard
Storyboard

Instructors

IIM Kashipur Frequently Asked Questions (FAQ's)

1: Which tools will we use for the AI and Machine Learning training by Nulearn?

Candidates will make use of Tableau and the R and Python software during this programme.

2: Is there a corporate discount for the AI and Machine Learning course fee?

Yes, there is an exclusive corporate pricing plan. The available discount for corporate professionals ranges from five to ten percent depending on the number of nominations. You can write at connect@nulearn.in for any query.

3: Can an international student avail of the loan facility?

No loan facility is available for international students of the PG Certificate Course in AI and Machine Learning.

4: Do I need to visit IIM Kashipur’s campus for the AI and Machine Learning course?

As the course has a blended learning model, the programme houses a five-day campus visit at IIM Kashipur.