upGrad
Master of Science in Machine Learning & AI
Online
DURATION
18 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
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TUITION FEES
USD 9,500
STUDY FORMAT
On-Campus
Introduction
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.
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
Ideal Students
Student Support
- A dedicated program coordinator
- 24/7 support to answer all your queries! [email protected]
- Centralised WhatsApp channels for queries
Admissions
Scholarships and Funding
Scholarships of up to 50% for up to 350 applicants.
Curriculum
Stats and EDA
- EDA + Welcome
- Intro to Git & Github
- Lending Club case study
- Inferential Stats
- Hypothesis Testing
Machine Learning - I
- Linear Regression Module
- Linear Regression Assignment: Bike sharing company(demand regression)
- Logistic Regression
- Naive Bayes
- Model Selection
- Revision week - Skill test
Machine Learning - II
- Advanced Regression
- Advanced regression assignment + SVM (Optional)
- Tree Models
- Random Forests + Practical Considerations
- Boosting - 1
- Unsupervised Clustering
- PCA
- Telecom Churn Case Study
- Buffer - Skill test
Deep Learning
- 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
- NLP - Lexical Processing
- NLP - Syntactic Processing
- NLP Assignment - Syntactic Processing
- NLP - Semantic Processing
- Ticket classification Project
- Buffer - Skill test(NLP)
Elective : MLops Elective
- 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
- 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 Vector stores like Pinecone to store and index embeddings of large documents
- Understand the importance of LangChain and its applications
- Initialize the agents, tools and vector store 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
- Capstone
Research Methodologies
- Introduction to Research and Research Process
- Research Design
- Literature Reviewing
- Research Project Management
- Report Writing and Presentation Skills
- Scientific Ethics
Master's Dissertation
- 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 feeds 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 modeling for Financial activities and Investment Banking
Program Outcome
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
Program Tuition Fee
Career Opportunities
The program prepares you for several in-demand data roles
- Machine Learning Engineer
- AI Engineer
- Software Developer
- Data Scientist
English Language Requirements
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