Master of Science in Machine Learning & AI

Program curriculum:

Gain 750+ hours of world-class learning designed by top faculty and industry leaders, delivered through videos, case studies, and hands-on projects.

Stats and EDA (5 Weeks)

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

Machine Learning - I (7 Weeks)

• 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)

• 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)
• 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)

• 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)

• Pre-Requisite Module
• Introduction to MLops
• Designing Machine Learning Systems
• Experimenting with Data and Model using MLflow
• Automating and Orchestrating Pipelines 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)

• 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 its 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)

Research Methodologies (10 Weeks)

• 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)

• 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

Faculty:

You will learn from renowned AI and ML experts, leading faculty from LJMU, and industry mentors with extensive experience in AI, deep learning, and cloud-based AI solutions.

Instructors

• 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 Master's in ML and AI.
• 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.
• Prof. Chandrashekar Ramanathan: Dean - Academics, IIIT Bangalore
  • Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
• Prof. G. Srinivasaraghavan: Professor, IIIT Bangalore
  • Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys and several other MNCs.

Industry experts

• S. Anand: CEO, Gramener
  • A gold medalist 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.
• Rajesh Sabhapaty: Sr Director, Data Science, United Health Group
  • He has 10+ years of experience leading Data Science teams in various domains, solving complex problems using Deep Learning & ML techniques.

About Liverpool John Moores University:

• 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.

What job titles can this course prepare students for?

After completing this program, you can explore roles such as:

• Master AI and ML concepts with industry-relevant applications
• Build and deploy AI models for real-world use cases
• Gain expertise in deep learning, NLP, and computer vision
• Develop hands-on experience with 10+ ML/AI projects
• Advance your career with globally recognized credentials from LJMU