WES Recognised

Master of Science in Machine Learning & AI

Kick-start your journey with a Master's from Liverpool John Moores University! Learn in-demand skills such as Generative AI, Deep Learning, NLP, and Reinforcement Learning. Work on 15+ industry projects, multiple programming tools & a dissertation.

Type

Masters Degree
Start Date

November 30, 2024
Duration

18-20 months

Liverpool John Moores University

Recognised Masters Degree by WES |
Institute of Analytics (IOA)

Introduction To Master's In AI And ML From LJMU

Course Snapshot

15+
Industry Projects
85+ Countries
Learner Base
20+
Tools & Libraries

WES Recognized Degree
LJMU Alumni Status
AI Powered Profile Builder
Generative AI integrated modules, tools, and projects
Live and Pre-recorded sessions with Top LJMU, IIIT-B faculty, and industry experts

Key Highlights Of Masters In AI & ML

What is this course about?

Program Benefits

AI Mastery: Advanced Techniques and Applications
Live sessions to cover ChatGPT, Open AI, Dall, Midjourney & more tools
On-demand Mock Interviews for when you need to prepare for a hiring process
Get a WES (World Education Services) Recognised Masters degree
Resume Building tools
Designed for Working Professionals
6 Practical Hands-on Capstone Projects
Live Coding Classes & Profile Building Workshops
Get access to LJMU Supervisors for guidance on Research & Dissertation
Dedicated Student Success Mentor & Career Mentor for 360 Degree Support
750+ Hours of Learning
Daily Doubt Resolution Sessions

The program prepares you for several in-demand data roles

Machine Learning Engineer
AI Engineer
Software Developer
Data Scientist

We provide a blended peer to peer learning and networking experience

Live discussion forum for peer-to-peer doubt resolution
Great networking opportunities with a pool of 10,000+ Alumni
Insightful lab walkthroughs of industry-driven projects
Improve with weekly real-time doubt clearing sessions

Student Support

A dedicated program coordinator
24/7 support to answer all your queries! intstudentsupport@upgrad.com
Centralised WhatsApp channels for queries

20 Programming Languages, Tools & Libraries Covered

Generative AI tools covered

Masters In AI And ML Certification

Earn valuable Credentials & Recognition

Complete all the courses successfully to obtain this prestigious recognition from Liverpool John Moores University .

Master's Degree from LJMU

With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.

Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in ML & AI
Get access to the complete digital library of LJMU to research & write your dissertation
Earn a Master's degree which is recognized by WES, at 1/10th the cost of an offline program

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Explore Our Learning Platform

Learn on an AI-powered & personalised platform with best-in-class
content, live sessions & mentoring from leading industry experts.

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LJMU Masters In AI And ML Syllabus

What will you learn?

Experience 750+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects

750+ Hours of Content

15+ Case Study and Projects

70+ Live Sessions

11 Coding Assignments

20 Tools, Languages & Libraries

6 Capstone Projects to Choose From

Stats and EDA

5 Weeks

Topics (5)

EDA + Welcome
Intro to Git & Github
Lending club case study
Inferential Stats
Hypothesis Testing

Machine Learning - I

7 Weeks

Topics (6)

Linear Regression Module
Linear Regression Assignment:Bike sharing company(demand regression)
Logistic Regression
Naive Bayes
Model Selection
Revision week - Skill test

Machine Learning - II

7 Weeks

Topics (9)

Advanced Regression
Advance regression assignment + SVM (Optional)
Tree Models
Random Forests + Practical Considerations
Boosting - 1
Unsupervised Clustering
PCA
Telecom Churn Case Study
Buffer - Skill test

Deep Learning

9 Weeks

Topics (9)

Introduction to Neural Networks - Part1
Introduction to Neural Networks - Part2
Convolutional Neural Networks
Assignment: Convolutional Neural Networks
CNN : Practical Considerations
Recurrent Neural Networks
Gesture Recognition - Project
Exam on Sunday End of the week
Revision week - Skill test (DL)

Natural Language Processing

7 Weeks

Topics (6)

NLP - Lexical Processing
NLP - Syntactic Processing
NLP Assignment - Syntactic Processing
NLP - Semantic Processing
Ticket classification Project
Buffer - Skill test(NLP)

ELective : MLops Elective

17 Weeks

Topics (14)

Pre-Requisite Module
Introduction to MLops
Designing Machine Learning Systems
Experimenting with Data and Model using MLflow
Automating and Orchestrating piepelines with Airflow
Building continuous learning infrastructure
MLOps Project
Advanced NLP - Introduction to Attention Mechanism
Advanced NLP - Introduction to Transformers
Advanced CV - Object Detection & Semantic Segmentation
MLOps + Deployment: DL (Theory)
MLOps + Deployment: DL (Case Study)
Exam on Sunday End of the week
Revision week - Skill test

Elective : Generative AI Elective

15 Weeks

Topics (15)

Advanced NLP - Introduction to Attention Mechanism
Advanced NLP - Introduction to Transformers
Fundamentals of Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
Integrating speech using Whisper API and application deployment using Flask
Fundamentals of Multimodal LLMS like Stable Diffusion, Mid Journey
Fundamentals of Design, Photography & Product Development using Stable Diffusion in Python & Applications of LLMs for Data Science problems like clustering, classification
GenAI Project
Applications of LLMs to create Embeddings for Large Documents
Applications of Vectorstores like Pinecone to store and index embeddings of large documents
Understand the importance of LangChain and it's applications
Initialise the agents, tools and vectorstore for storage and retrieval
Connect the components using Chain and explore the power of tools in LangChain
Scale and Deploy Generative AI Apps using Azure OpenAI services
Future Developments in Generative AI

Capstone

4 Weeks

Capstone

Research Methodologies

10 Weeks

Topics (6)

Introduction to Research and Research Process
Research Design
Literature Reviewing
Research Project Management
Report Writing and Presentation Skills
Scientific Ethics

Master's Dissertation

16 weeks

Topics (7)

Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and clustering methods
Investigate a diagnosis of eye diseases using imaging ophthalmic data
Structure medical images with information geometry
Using Social media feed to place tweets regarding natural disasters on a map
Preventing credit card fraud through pattern recognition
Developing a recommender system for a Media giant
Risk modelling for Financial activities and Investment Banking

INSTRUCTORS

Whom will you learn from?

6 Instructors
6 Industry Experts

Dr. Gabriela Czanner

Senior Lecturer in Statistics and Data Science at the Department of Applied Mathematics
Dr. Gabriela Czanner is a Senior Lecturer in Statistics and Data Science at the Department of Applied Mathematics at Liverpool John Moores University (LJMU). Her expertise lies in the field of advanced statistics for decision support, particularly its applications in the rapidly evolving of artificial intelligence and machine learning masters (AI/ML). Dr. Czanner's passion for AI/ML extends beyond research. She is a dedicated educator who is committed to inspiring the next generation of data scientists. She teaches a variety of courses on AI/ML at LJMU, including the highly-regarded Masters in AI and Machine Learning program. Through her research, teaching, and commitment to industry collaboration, Dr. Gabriela Czanner is a leading figure in the field of AI/ML. Her work is helping to shape the future of this transformative technology.

Dr. Gabriela Czanner is a Senior Lecturer in Statistics and Data Science at the Department of Applied Mathematics at Liverpool John Moores University (LJMU). Her expertise lies in the field of advanced statistics for decision support, particularly its applications in the rapidly evolving of artificial intelligence and machine learning masters (AI/ML). Dr. Czanner's passion for AI/ML extends beyond research. She is a dedicated educator who is committed to inspiring the next generation of data scientists. She teaches a variety of courses on AI/ML at LJMU, including the highly-regarded Masters in AI and Machine Learning program. Through her research, teaching, and commitment to industry collaboration, Dr. Gabriela Czanner is a leading figure in the field of AI/ML. Her work is helping to shape the future of this transformative technology.
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LJMU Profile

Prof. Dhiya Al-Jumeily

Professor at the Faculty of Engineering and Technology
Professor Dhiya Al-Jumeily, OBE, is a distinguished figure in the field of Artificial Intelligence (AI) and Machine Learning (ML). He holds a prominent position as a professor at the Faculty of Engineering and Technology, where he dedicates himself to teaching and inspiring the next generation of MS in AI and ML. Professor Al-Jumeily's dedication and achievements have earned him international recognition. He is a highly respected figure in the field, and his work has significantly impacted the advancement of Masters in ML and AI.

Professor Dhiya Al-Jumeily, OBE, is a distinguished figure in the field of Artificial Intelligence (AI) and Machine Learning (ML). He holds a prominent position as a professor at the Faculty of Engineering and Technology, where he dedicates himself to teaching and inspiring the next generation of MS in AI and ML. Professor Al-Jumeily's dedication and achievements have earned him international recognition. He is a highly respected figure in the field, and his work has significantly impacted the advancement of Masters in ML and AI.
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LJMU Profile

Dr. Debabrata Das

Director of IIIT Bangalore
Dr. Debabrata Das, the esteemed Director of IIIT Bangalore, is a renowned expert in the rapidly evolving fields of Artificial Intelligence and Machine Learning Master. Having received his Ph.D. from the prestigious Indian Institute of Technology Kharagpur, his research interests lie primarily in the intersection of these cutting-edge technologies and their application in the domain of IoT and Wireless Access Networks.

Dr. Debabrata Das, the esteemed Director of IIIT Bangalore, is a renowned expert in the rapidly evolving fields of Artificial Intelligence and Machine Learning Master. Having received his Ph.D. from the prestigious Indian Institute of Technology Kharagpur, his research interests lie primarily in the intersection of these cutting-edge technologies and their application in the domain of IoT and Wireless Access Networks.
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IIITB Profile

Prof. Chandrashekar Ramanathan

Dean - Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.

Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
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IIITB Profile

Prof. Tricha Anjali

Professor
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay.

Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay.
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LinkedIn Profile

Prof. G. Srinivasaraghavan

Professor
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys and several other MNCs.

Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys and several other MNCs.
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LinkedIn Profile

S. Anand

CEO
A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India with 20 years of experience.

A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India with 20 years of experience.
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LinkedIn Profile

Mirza Rahim Baig

Lead | Business Analytics
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.

Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.
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LinkedIn Profile

Sajan Kedia

Ex- Data Science Lead
He is graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing.

He is graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing.
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LinkedIn Profile

rajeshsabapathy__1625819212942-1885c175203d4a1dacca93e19872c3dc

Rajesh Sabhapaty

Sr Director, Data Science
He has 10+ years of experience leading Data Science teams in various domains solving complex problems using Deep Learning & ML technique.

He has 10+ years of experience leading Data Science teams in various domains solving complex problems using Deep Learning & ML technique.
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LinkedIn Profile

Ujjyaini Mitra

Head of Analytics
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.

An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.
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LinkedIn Profile

MS In AI And ML - Projects

Learn by Doing

Learn through real-life industry projects sponsored by top companies across industries

Engage in collaborative projects with student-mentor interaction
Engage in collaborative projects with student-mentor interaction
Engage in collaborative projects with student-mentor interaction

Credit EDA Assignment

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to analyse the patterns present in the data. This will ensure that the MSc in machine learning and AI applicants are capable of repaying the loan and are not rejected.

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