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EXPLORE COURSES
Industry relevant curriculum with modules on ChatGPT and GenAI
Application closes 27th Dec 2024
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
Year 1
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.
Year 2
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.
* Image for illustration only. Certificate subject to change.
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
2024-01-23 11:50:12 UTC
2024-01-23 11:45:18 UTC
2024-01-23 11:41:48 UTC
2020-05-22 13:04:09 UTC
2020-05-22 13:03:51 UTC
2020-05-22 13:03:34 UTC
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