Artificial Intelligence and Machine Learning Course

MS in Artificial Intelligence and Machine Learning

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MS in Artificial Intelligence and Machine Learning

Industry relevant curriculum with modules on ChatGPT and GenAI

Application closes 29th Apr 2025

Key Highlights of the Artificial Intelligence and Machine Learning course

Designed for Working Professionals
Pursue MS in AIML for under USD 7500
12 Hands-on Projects and 30+ Case Studies
1 Capstone Project at the end of each Year
Get Alumni Status from Walsh College
No GRE/GMAT or TOEFL Requirement
Includes modules on ChatGPT and GenAI

Skills you will learn

Machine Learning
Data Science
AI Engineering
Python
SQL
Data Analysis
Applied Statistics
Generative AI
Prompt Engineering
Deep Learning
Neural Networks

Program Curriculum

Post Graduate Program in AI and ML

Foundations

PYTHON FOR AI AND MACHINE LEARNING
This course focuses on Python programming used for Artificial Intelligence and Machine Learning. Learners will work on a high-level idea of Object-Oriented Programming and later
learn the essential vocabulary (keywords), grammar (syntax) and sentence formation (usable code) of this language. This module will drive learners from introduction to AI and ML to the core concepts using one of the most popular and advanced programming languages - Python.

APPLIED STATISTICS
Learn the terms and concepts vital to Exploratory Data Analysis and Machine Learning in general. From the very basics of taking a simple average to the advanced process of finding statistical evidence to confirm or deny conjectures and speculations, learners will focus on a specific set of tools required to analyze and draw actionable insights from data.

INTRODUCTION TO DATA SCIENCE AND AI (SELF-PACED)
Gain an understanding of the evolution of AI and Data Science over time, their application in industries, the mathematics and statistics behind them, and an overview of the life cycle of building data driven solution:

The fascinating history of Data Science and AI
Transforming Industries through Data Science and AI
The Math and Stats underlying the technology
Navigating the Data Science and AI Lifecycle

Machine Learning

SUPERVISED LEARNING
Learn about Supervised ML algorithms, working of the algorithms and their scope of application - Regression and Classification.

UNSUPERVISED LEARNING
Learn about Unsupervised Learning algorithms, working of these algorithms and their scope of application - Clustering and Dimensionality Reduction.

ENSEMBLE TECHNIQUES
In this Machine Learning module, work on supervised standalone models’ shortcomings and learn a few techniques, such as Ensemble techniques to overcome these shortcomings.

FEATURIZATION, MODEL SELECTION AND TUNING
Learn various concepts that will be useful in creating functional machine learning models like model selection and tuning, model performance measures, ways of regularization, etc.

INTRODUCTION TO SQL
Know about SQL programming, such as DBMS, Normalization, Joins, etc.

Artificial Intelligence

INTRODUCTION TO GENERATIVE AI AND PROMPT ENGINEERING
This module offers a comprehensive exploration of two critical aspects of Artificial Intelligence. Through live sessions, learners will delve into the fundamental concepts and techniques of generative AI, a field known for its innovation and creativity. Learners will also master the practical applications of prompt engineering, including designing effective prompts, optimizing results, and exploring various prompt engineering techniques.

INTRODUCTION TO NEURAL NETWORKS AND DEEP LEARNING
In this Artificial Intelligence module, learners understand the motive behind using the terms Neural Network and look at the individual constituents of a Neural Network, installation of and building familiarity with TensorFlow library, appreciate the simplicity of Keras and build a deep neural network model for a classification problem using Keras. They also learn how to tune a Deep Neural Network.

COMPUTER VISION
In this Computer Vision module, learn how to process and work with images for image classification using Neural Networks. Going beyond plain Neural Networks, learners will also focus on a more advanced architecture - Convolutional Neural Networks.

NATURAL LANGUAGE PROCESSING
Learn how to work with Natural Language Processing with Python using traditional Machine Learning methods. Then, deep dive into the realm of Sequential Models and state of the art language models.

SELF-PACED MODULE: DEMYSTIFYING CHATGPT AND APPLICATIONS
Gain an understanding of what ChatGPT is and how it works, as well as delve into the implications of ChatGPT for work, business, and education. Additionally, learn about prompt engineering and how it can be used to fine-tune outputs for specific use cases.

SELF-PACED MODULE: CHATGPT - THE DEVELOPMENT STACK
Dive into the development stack of ChatGPT by learning the mathematical fundamentals that underlie generative AI. Further, learn about transformer models and how they are used in generative AI for natural language.

Capstone Project

Get your hands dirty with a real-time project under industry experts’ guidance. This covers everything from an introduction to Python and Artificial Intelligence to Machine Learning. Successful completion of the project will earn you a Post Graduate Certificate.

MS in AI and ML

Network Fundamentals

This course will provide an introduction to networks. Learners will explore critical networking concepts in an enterprise environment. Networking Design, Security, Implementation, and Remote Connectivity will be explored through hands-on labs and assessment.

Operating Systems and Virtualization

This course will provide an introduction to operating systems implementation in an enterprise setting. Learners will set up and configure client and server operating systems in networked environments to provide critical network services in an enterprise environment. Critical Infrastructure, Setup, Maintenance and Troubleshooting concepts will be explored for future coursework.

Data Visualization and Predictive Modeling

The goal of this course is to expose learners to visual representation methods and techniques that increase the understanding of complex data. They will learn how to take raw data, extract meaningful information, use Statistical Tools, and make Visualizations to improve comprehension, communication, and decision making.

Mathematics of Artificial Intelligence & Machine Learning

This course presents critical mathematical concepts used in Artificial intelligence and Deep Learning. It also focuses on Linear Algebra and Analytic Geometry for AI.

Capstone or Practicum

The Capstone Project provides the opportunity for integrating program learning within a project framework. Each learner identifies or defines a professionally relevant need to be addressed that represents an opportunity to assimilate, integrate, or extend learning derived through the program. The learner will work with the Capstone Project Advisor to develop a proposal. After review and approval by the Capstone Project Advisor, they are authorized to complete the project. Learners present the completed project at a Capstone Fair at the end of the semester. The Practicum course enables students to enhance their knowledge in Artificial Intelligence and Machine Learning through practical hands-on experience at a business.

Learning Path

Year 1

Learners will join the Post Graduate Program in AI and Machine Learning by The University of Texas at Austin and Great Lakes Executive Learning and receive PG certificates upon program completion.

Year 2

Post completion of the PG Program in AI and Machine Learning, candidates will continue their learning journey with the MS in Artificial Intelligence and Machine Learning offered by Walsh College.

On-Completion

Successful learners will receive the MS in Artificial Intelligence and Machine Learning from Walsh College.

Earn a Degree and PG Certificate from the world's leading institutions

* Image for illustration only. Certificate subject to change.

WES Recognised
The Higher Learning Commission

Recognized by the U.S. Department of Education

Industry relevant syllabus

Languages and Tools covered

Python
Keras
Numpy
TensorFlow
Matplotlib
Scikit Learn
Seaborn
Statsmodels

Meet the Faculty

Meet the experienced and world-class faculty who will teach you the core concepts of Artificial Intelligence and Machine learning

Javad Katibai

Chassis System Architect - General Motors
Dr. Dave Schippers

VP and Academic Dean
James Gerrity

PhD, Adjunct Associate Professor
Thomas Petz

CIO/COO, Assistant Professor of IT
Christopher Heiden

Program Lead at IT, Associate Professor of Business Information Technology
Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

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Dr. P. K. Viswanathan

Professor, Analytics & Operations
Mr. Gurumoorthy Pattabiraman

Faculty, Data Science & ML, Great Learning

Gurumoorthy is a Techno-Functional Professional with over 10 years of experience in the IT & Analytics domains. He is an undergrad in Mathematics & postgrad in Actuarial Economics. He has headed the Global Analytics Team in one of the World's largest Shipping Companies and currently is the "Head of Industry Solutions" in the Analytics & Mobility spaces at a niche AR/VR/MR Start-up Company in Chennai. He has handled over 400 hours of Analytics training classes/workshops for Corporate and Individuals early in his career. He started his career as an Entrepreneur, handling clients on multiple Web Analytics & SEO/SEM Consulting Projects.

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Prof. Dipayan Sarkar

Consultant, Author, Visiting Faculty

Prof. Dipayan Sarkar is a passionate data scientist and AI Researcher professional who loves to ‘think big’, supporting iconic international brands and consulting firms brands to reach their full potential through the development and execution of compelling project strategies, driving projects and generating significant returns.

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Note: The above faculty list is indicative

Get Industry ready with Dedicated Career Support

GL-Excelerate

Join exclusive career fairs and hackathons with GL eXcelerate
Job board with 100+ postings

Access our Job Boards where our team posts job opportunities from top organizations
1 on 1 Mentoring from industry experts

Get 1 : 1 career mentoring with LIVE online sessions with industry professionals
Career Services

Gain industry insights and set your career goals with mentorship
Build your career profile

We provide students with sample SOP formats to guide them in crafting a compelling SOP.
Mock Interviews & Alumni Connect

Participate in mock interviews & get guidance from our alumni currently in roles you aspire for

Program Fees

The program fee constitutes of two parts:

Year 1 USD 4500

Year 2*USD 3000

*The tuition fee is subject to change based on university's regulations.

Apply Now

Benefits of learning with us

Delivered in a full online format with live classes
Get Alumni Status from Walsh College
Quick Application with No GRE/GMAT or TOEFL Requirement
Capstone Projects at the end of Year 1 and Year 2
Learn from Top Faculty and Leading Industry Practitioners

Application process

Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.

1. Apply Online

Fill out a fast and easy online application form. No additional tests or prerequisites are needed.
2. Pre-Screening

Our team will make contact with you by phone to confirm your eligibility for the program.
3. Application Assessment

If selected, you will receive an offer for the upcoming cohort. Secure your seat by paying the fee.
4. Join the program

If selected, you will receive an acceptance letter with instructions on how to pay and join the program.

Limited seats available

Apply today and become a Artificial Intelligence and Machine learning Expert

Eligibility

Applicants must hold a 3 or 4-year bachelor’s degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university or institution. The medium of instruction must be in English.
No GRE/GMAT or any English proficiency test scores are required.

Note: Candidates should score a minimum of 2.75 CGPA in the 1st year to be eligible for 2nd year on campus at Walsh College.