KSI Academic Brochure

AI AND MACHINE

LEARNING

FOR LEADERSHIP

AND

BUSINESS TRACK

STUDENTS

With dedicated sessions on the latest topics in AI

Including ML and Data Science Fundamentals for Non-

Scientists, Python Programming, Prompt Engineering

for Generative AI Tools such as ChatGPT, Applications in

Marketing and Finance, Governance, Ethics, Security &

Privacy considerations and more.

Table of Content

About the Program

Key Features of the Program

About Knowledge Solutions Institute (KSI)

Eligibility Criteria

Who is this Program Ideal for

Program Outcomes

Learning Path

Tools Covered

Projects Bank

Program Advisors

Director of Academics & Director of Operations,

Finance and Administration

About the Program

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.

Key Features of the Program

Earn a program completion

certificate from KSI

Curriculum delivered as a hybrid

of onsite and online sessions by

classroom and industry experts

Earn a KSI Circle

Membership

Exposure to ChatGPT, Dall-E,

Midjourney, TensorFlow and

other prominent tools

Earn credits from KSI for enrolling

into Advanced Courses

Interactive sessions with hands-

on problem-solving experience in

a variety of application domains.

KSI career assistance services

to help you get noticed by top

hiring companies

Online convocation by KSI

Executive Director

About Knowledge Solutions Institute

Knowledge Solutions Group is a world-renowned

science and engineering company that marshals some

of the world’s brightest minds and most innovative

tools to address fundamental scientific questions and

pressing societal challenges. As an offshoot, member of

the Knowledge Solutions Group founded the Knowledge

Solutions Institute along with partners in 2023, with a

goal to establish an educational institute to train young

minds in on-demand skillsets in the area of AI and ML,

theory and practice. The contributions of Knowledge

Solutions Institute’s faculty have earned national and

international recognition.

Eligibility Criteria

For admission to this AI and Machine Learning program,

candidates should have:

High school pass certificate with an average of

50% or higher marks. College level experience is

preferred but not required.

Interest in business focused careers in the technical

marketplace.

Prior exposure or interest in programming

Who is this Program Ideal for?

This program prepares graduating students for business-

focused careers in the technology marketplace that can

translate to a variety of industries. We invite students

from diverse backgrounds and that heterogeneity in our

classrooms add richness to the student interactions.

In today’s workplace, all roles require a familiarity

and understanding of AI tools, and our program is

ideal to learn about those concepts, leveraging both

theory and hands-on sessions. No matter what area of

specialization the student goes into eventually, the tools

and technologies we cover will serve as an empowering

addition to their resume.

Students eager to develop AI and ML expertise with

the objective of:

Enhanced industry appeal trained on latest tools

and technology

Transitioning to AI and ML roles within their

organization

Giving shape to entrepreneurial aspirations

Program Outcomes

Gain experience with the latest in the field of AI such

as generative AI, prompt engineering, ChatGPT. Learn

how to apply effective prompt engineering techniques

to improve the performance and control the behavior of

generative AI models.

Get a flavor of the breadth of technologies that encompass

AI and ML, understanding their meaning, purpose, scope,

stages, applications, and effects. Transition to off the shelf

tools and technologies for AI/ML.

Get a flavor of data science intricacies with expertise,

encompassing processes, wrangling, exploration,

visualization, hypothesis building, and testing.

Gain experience with a variety of machine learning

models. Gain experience in supervised and unsupervised

learning, recommendation engines, and time series

modeling.

Learn about deep learning and neural networks, various

frameworks, and tools such as Keras. Appreciate and apply

deep learning across various application.

Learn about natural language understanding and

generation, delving into the fundamentals.

Learn how AI-powered applications can enhance the

customer journey and customer lifecyle. Marketing to

the right people, fraud prevention, credit risks, protecting

consumer data are all critical areas of AI application that

businesses need to understand for successful digital

transformation.

Learn about user data governance strategies, ethics in

AI for responsible and successful adoption of AI into

business use cases.

Learning Path

Courses

Tools Powering our Course

Project Bank

Develop a shopping app for an ecommerce company

using Python.

Ecommerce

Project 1

Real Estate

Use feature engineering to identify the top factors that

influence price negotiations in the homebuying process.

Project 5

Integrate the fraud detection system with banking or

financial platforms to monitor transactions in real-time.

Utilize streaming analytics to identify and respond to

potentially fraudulent activities as they occur.

Finance

Project 2

Develop an AI algorithm that analyzes customer data,

including demographics, purchase history, and online

behavior, to segment customers into distinct groups. Utilize

machine learning techniques for effective segmentation.

Marketing

Project 6

Use exploratory data analysis and statistical techniques

to understand the factors contributing to a retail firm’s

customer acquisition.

Retail

Project 3

Utilize predictive analytics models to forecast customer

behavior, such as potential purchases, likelihood of churn,

and preferred channels of interaction. This will help in

proactively addressing customer needs.

Finance

Project 7

Perform feature analysis to understand the features of

water bottles using EDA and statistical techniques to

understand their overall quality and sustainability.

Production

Project 4

Use deep learning concepts, such as Convolutional Neural

Networks (CNN), to automate a system that detects and

prevents faulty situations resulting from human error and

identifies the type of ship entering the port.

Shipping

Project 8

Program Advisors

Professor of Computer Science at the

University of Memphis (USA) and has

been significantly involved in research,

and education involving computational

intelligence techniques and their applications.

Dr. Dasgupta has several patents, published

textbooks, edited volumes and co-edited

journals and conference proceedings.

Dr. Dasgupta’s multidisciplinary research

resulted in more than 300+ publications with

21000+ citations and having an h-index of 67

as per Google scholar. Dasgupta received

many awards including the 2014 ACM

SIGEVO Impact Award, recipient of the 2023

UofM’s Arthur G. Graesser Presidential Award

for Lifetime Achievement in Research, etc.

He was designated as an ACM Distinguished

Speaker (2015-20) and currently IEEE

Distinguished Lecturer. He has been a Fellow

of IEEE since 2015 and a Fellow of National

Academy of Inventors (since 2023).

Experienced Professor and thought leader

with a demonstrated history of success in

academia, collaboration with industry in

the areas AI in Cybersecurity, data analysis,

machine learning, AI/ML based system

design, etc.

Nivedita Majumdar, Ph.D., is an engineer

with 20+ years of algorithm development

experience in biotechnology, working on signal

and image processing, modeling, testing,

data visualization, machine learning, and AI.

She holds several patents and publications

in this space. Currently, she leads a team of

algorithm and AI engineers within the Genetic

Analysis Division at Thermo Fisher Scientific,

a world leader in serving science. She drives

innovation and feasibility questions for new

genetic analysis instruments and software

platforms. She coordinates cross-functional

efforts both hands-on technically as well as

through thought leadership. She is passionate

about education and empowering the next

generation to learn the tools and skillsets

that make them successful. She is part of this

team to deliver practical insights into real-

world applications.

Sourav loves anything that is new and creative

and has to do with Computers, Technology or

Business. Because of this, he is still undecided

whether art or technology suits him better and

he continues to pursue both. He started with

pursuing for a Masters in Design Computing

at the University of Sydney, Australia and went

on to complete a Doctor of Engineering in

Mechanical Engineering (Control Engineering)

from Tokyo Metropolitan University, Japan, in

March of 1996.

Dipankar Dasgupta (Ph.D) Nivedita Majumdar (Ph.D) Sourav Kundu (Dr. Engg.)

Director of Academics

Director of Operations, Finance and Administration

Amal Kumar Mukherjee

Dr. Biswajit Datta

Dr. Biswajit Datta, an Ex-TCSer holds a PhD in Business Administration, an M.Tech in Operations Research, and a B.E. in Mechanical Engineering. He is having 39+

years of Industry experience in Project Management, System Analysis and Design, Programming, Databases, SAP ERP, Analytics, Digital Marketing, Pre-Sales and

Training. He is having extensive domain knowledge spanning across Manufacturing, Insurance, Government, Railways, Mining, Retail, and Healthcare sectors across

India, USA, Europe and MEA geographies leveraging cutting-edge technologies to streamline operations and enhance decision-making. He has provided on-the-job

training to numerous trainees and freshers. Additionally, he has guided trainees in their MCA and B.Tech programs for their theses. He has published a number of

papers in renowned journals. He is proficient in Python, R, Machine Learning Algorithms, Databases, AI Tools, Tableau, Power BI, and Digital Marketing.

Amal Kumar Mukherjee, Mechanical Engineer from IIT, Kharagpur (1970) and MSc in Operations Research from University of Birmingham (1972), has 52 years of

Experience in various fields:

Senior Management Consultant, ABC Consultants Pvt Ltd. Senior Manager, Production Planning and Control Mahindra Group. Senior Manager, Chloride India Ltd

(Chloride Group UK), Head Manufacturing, then Vice President Manufacturing and finally CEO of VTL Electronics Ltd. SK Birla Group of Companies.