MACHINE

LE ARNING

THREE MONTHS

INTENSIVE PROGRAM IN

Artificial Intelligence

Basics Machine Learning

Supervised Learning | Un-Supervised Learning | Reinforcement Learning

Table of Content

Knowledge Solutions Institute

About the Program

Who is this Program Ideal for

Eligibility Criteria

Application Process

Course Outline

Certificates

About the Program

Knowledge Solutions Institute

Artificial Intelligence (AI) / Machine Learning (ML) are among the most sought after and highly compensated digital

economy skills. In the past decade, AI has given us self-driving cars, practical speech recognition, effective web

search, and a vastly improved understanding of the human genome. AI/ML is so pervasive that we use it dozens of

times a day without even realizing it. Many researchers also think it is the best way to make progress towards human-

level AI.

Ride this wave and accelerate your career with this acclaimed Machine Learning (a subset of AI) program. This

program features a thorough mix of theory, quiz, and extensive hands-on practice, while leveraging KSI’s academic

excellence. More importantly, you’ll learn about not only the theoretical underpinnings of ML, but also gain the

practical know-how to quickly and successfully apply these tools and techniques to new problems.

This program is a blend of self-paced online lectures , live virtual classes, hands-on labs and masterclasses.

Mentorship

sessions will provide you with a high engagement learning experience and real-world applications, helping you

master essential ML skills. This program covers essential mathematical and statistical concepts, as well as Python

programming, ML applications and more.

[ 3 ]

Artificial Intelligence (AI) and Machine Learning (ML) are among the most sought after and highly compensated

digital economy skills. In the past decade, AI has given us self-driving cars, practical speech recognition, effective

web search, and a vastly improved understanding of the human genome. AI is so pervasive that we use it dozens

of times a day without even realizing it. Many researchers also think it is the best way to make progress towards

human-level AI.

Ride this wave and accelerate your career with this acclaimed AI and Machine Learning program. The program

features a thorough mix of theory, projects, and extensive hands-on practice, while leveraging Knowledge Solutions

Institute’s academic excellence. You’ll not only learn the theoretical underpinnings of AI and ML, but also gain the

practical know-how to apply these tools quickly and successfully to new problems.

This program is a blend of self-paced online lectures, live virtual classes, hands-on capstone projects, labs, and

masterclasses. Mentorship sessions will provide you with a high engagement learning experience and real-world

applications, helping you master essential AI and ML skills. This program covers essential mathematical and

statistical

concepts, as well as Python programming, machine learning, deep learning, generative AI, prompt engineering,

explainable AI, ChatGPT, computer vision, natural language processing, and more, geared for the non-scientist,

business-focused student.

Who is this Program Ideal for?

Enhancing effectiveness

in their current role

Seeking to advance their

career in the industry

Professionals eager to develop AI/ML expertise with the objective of:

Transitioning to AI/ML

roles in their organization

Giving shape to

entrepreneurial

aspirations

[ 4 ]

This program caters to professionals from a variety of industries and backgrounds. The diversity of our

students adds richness to class discussions and interactions. Roles in this space requires a combination of

experience and an understanding of tools and technologies. This program is ideal for professionals looking

for a career transition into the field of AI and ML, who have knowledge or prior experience in programming

and mathematics, and an analytical frame of mind.

Eligibility Criteria

Application Process

A bachelor’s degree

with a good academic

standing.

Note: Candidates will be selected through a competitive process.

Prior knowledge in

programming and

mathematics

(desirable).

For admission to this Machine Learning program, candidates should have:

Rs 200 for Registration for Entrance Exam along-with application.

Entrance Test will be administered online.

Course Registration is ongoing.

Note: Students may be eligible for scholarships based on performance in the

Entrance Test

Duration: 3 months (180+ hrs) as a hybrid of onsite and on-line classes.

Significant discounts and scholarships will be given as an introductory offer

Payment Schedule: Payable in two instalments, the first one before the course start date

and the second one by 1.5 months after the course start date.

Scholarships will be given to deserving candidates.

New batch starting soon.

Note: Students need to bring their own laptop. Students should have gmail account of their own.

Preferably 2+ years of

formal work

experience.

[ 5 ]

Registration

Schedule and Fees

Course Outline

Topics Covered

Learning Outcomes

Machine Learning Fundamentals

Supervised Learning

Regression Models and Applications

Classification Models and Applications

Note: Guest lectures unveil app impacts across

industries!

Unsupervised Learning

Clustering Techniques

Reinforcement Learning

Recommendation Systems

Examine the different types of machine learning and their characteristics

Learn about supervised learning and its real-world applications

Understand the concepts of overfitting and underfitting, and learn how to detect and prevent

both Analyze different types of regression models and their applications

Identify linearity between variables and create correlation maps

List various types of classification algorithms and understand their applications

Master different types of unsupervised learning techniques

Determine when unsupervised algorithms are used and clustering methods

[ 6 ]

This course covers various types of machine learning and their practical applications. You will explore the

machine learning pipeline and delve into supervised learning, regression models, and classification algorithms.

You will also study unsupervised learning, including clustering techniques and other modeling techniques.

Learn machine learning tools like essentials of Python programming, Numpy, Matplotlib, Scikit-Learn,

TensorFlow and others.

Certificates

[ 7 ]

KSI provides a hybrid learning experience, offering both online sessions and in-class consultations with

instructors to support your learning journey and monitor your progress. Upon completion, you will receive

certificate from KSI validating your proficiency in Artificial

Intelligence/Machine Learning.