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EXPLORE COURSES
Industry relevant curriculum with modules on ChatGPT and GenAI
Application closes 25th Dec 2025
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
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
Term 1
In this course, you will master CNNs, RNNs, LSTMs, autoencoders, and state-of the-art generative models like GPT, PaLM, CLIP, and DALL·E and gain the industry-critical skills of transfer learning, prompt engineering, and RAG & LoRA fine-tuning to create domain-specific AI systems ready for real-world impact.Database storage technologies have transformed into complex systems that support knowledge management and decision support systems. This course takes a look at the foundations of database storage technologies. Students will learn about database storage architecture, types of database storage systems (legacy, current and emerging), physical data storage, transaction management, database storage APIs, data warehousing, governance and big data systems. The student will tie this all together to see how database storage technologies apply to data analytics.
DATA STORAGE TECHNOLOGIES:
Database storage technologies have transformed into complex systems that support knowledge management and decision support systems. This course takes a look at the foundations of database storage technologies. Students will learn about database storage architecture, types of database storage systems (legacy, current and emerging), physical data storage, transaction management, database storage APIs, data warehousing, governance and big data systems. The student will tie this all together to see how database storage technologies apply to data analytics. Upon successful completion of this course, you will be able to:
Term 2
APPLIED RESEARCH TOPICS IN DEEP LEARNING THEORY & PRACTICAL APPLICATIONS: This module introduces critical mathematical concepts used in AI and deep learning, focusing on linear algebra and analytic geometry. Upon successful completion of this module, learners will be able to. Upon successful completion of this course, you will be able to:
AI STRATEGY FOR LEADERS: The course integrates real-world case studies from industry leaders such as Tesla, Amazon, JPMorgan Chase, and Microsoft, providing students with insights into AI successes and challenges. Through case study analyses, discussions, and practical assignments, students will develop leadership strategies for AI integration, ensuring responsible and effective AI adoption in their organizations.
Term 3
CAPSTONE PROJECT:
The Capstone Project provides the opportunity for integrating program learning within a project framework. Each student 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 student will work with the Capstone Project Mentor to develop a proposal. After review and approval by the Capstone Project Mentor, the student will be authorized to complete the project.The student will present the completed project at the end of the semester.Upon successful completion of this course, you will be able to:
APPLIED RESEARCH IN NATURAL LANGUAGE PROCESSING:
This course is designed to provide students with advanced knowledge and practical skills in natural language processing (NLP) research and applications. Students will delve into cutting-edge techniques, methodologies, and tools used in NLP, with a focus on applied research and real-world use cases. Through a combination of lectures, hands-on projects, and literature review assignments, students will explore topics such as text classification, sentiment analysis, named entity recognition, machine translation, question answering, and more. Emphasis will be placed on understanding the underlying algorithms, evaluating model performance, and conducting empirical studies to address real-world NLP challenges.
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.
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.
Successful learners will receive the MS in Artificial Intelligence and Machine Learning from Walsh College.
* Image for illustration only. Certificate subject to change.
Recognized by the U.S. Department of Education
Industry relevant syllabus
Python
Keras
Numpy
TensorFlow
Matplotlib
Scikit Learn
Seaborn
Statsmodels
Meet the experienced and world-class faculty who will teach you the core concepts of Artificial Intelligence and Machine learning
Chassis System Architect - General Motors
VP and Academic Dean
PhD, Adjunct Associate Professor
CIO/COO, Assistant Professor of IT
Note: The above faculty list is indicative
Join exclusive career fairs and hackathons with GL eXcelerate
Access our Job Boards where our team posts job opportunities from top organizations
Get 1 : 1 career mentoring with LIVE online sessions with industry professionals
Gain industry insights and set your career goals with mentorship
We provide students with sample SOP formats to guide them in crafting a compelling SOP.
Participate in mock interviews & get guidance from our alumni currently in roles you aspire for
Year 1 USD 4500
+Year 2*USD 3000
*The tuition fee is subject to change based on university's regulations.
Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.
Fill out a fast and easy online application form. No additional tests or prerequisites are needed.
Our team will make contact with you by phone to confirm your eligibility for the program.
If selected, you will receive an offer for the upcoming cohort. Secure your seat by paying the fee.
If selected, you will receive an acceptance letter with instructions on how to pay and join the program.
Admissions Open
2025-05-15 08:33:42 UTC
2025-05-14 13:36:35 UTC
2025-05-14 13:35:03 UTC
2025-05-14 13:32:43 UTC
2025-05-14 12:42:54 UTC
2025-05-14 12:30:41 UTC
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