Liverpool : Master of Science in Machine Learning & Artificial Intelligence

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Course Duration

19 Months

Commencement Date

31st August 2023

Application End Date

19th August 2023

Session Timing

approx 15 hours per week

Overview
Syllabus
Faculty
Certificate
Fee

Liverpool : Master of Science in Machine Learning & Artificial Intelligence Program Overview

India’s best selling programme with a 4.5 star rating. Learn in-demand skills such as Deep Learning, NLP, Reinforcement Learning & work on 12+ industry projects, multiple programming tools & a dissertation. Start your ML & AI journey today.

Programme Highlights

Live sessions to cover ChatGPT, Open AI, Dall, Midjourney & more tools

Dedicated Student Success Mentor & Career Mentor for 360 Degree Support

15+ Case Studies and Assignments

High Performance Coaching (1:1)

Live Coding Classes & Profile Building Workshops

Student Support is available 7 days a week, 24*7

Eligibility Criteria

Bachelor’s Degree with minimum 50% or equivalent passing marks, and successful completion of the Executive PG Program in Data Science from IIITB. Minimum 1 year of work experience in a technical domain or a degree in mathematics or Statistics with programming experience.

Syllabus Breakdown

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

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

  • 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

  • Introduction to Neural Networks – Part 1
  • Introduction to Neural Networks – Part 2
  • 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)

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

  • 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 ()

  • 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

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

  • 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

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About About Liverpool John Moores University

Liverpool John Moores University is a public research university in the city of Liverpool, England. The university can trace its origins to the Liverpool Mechanics’ School of Arts, established in 1823. This later merged to become Liverpool Polytechnic.

Sample Certificate

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Programme Structure

FEE STRUCTURE:

Application Fee
INR

Total Fee
INR 560000.00

INSTALLMENT PATTERN

No Cost EMI Available

  • Take advantage of our no-cost EMI option, making it convenient for you to finance your education effortlessly.

Attractive Scholarships

  • We also provide attractive scholarships for defence personnel, government employees, differently-abled individuals, and meritorious students.
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Admission Process

Process
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Frequently Asked Questions

This programme intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.

This programme is designed for working professionals looking to pick up skills in advanced concepts like Reinforcement Learning, Graphical Models, NLP, Deep Learning along with a solid foundation of Statistics. This programme demands consistent work and time commitment over the entire duration of 18 Months.

Artificial Intelligence Courses, Tableau Courses, NLP Courses, and Deep Learning Courses are some of the top in-demand skills to learn in Machine Learning.

The content will be a mix of asynchronous lectures from industry leaders as well as world-class faculty. Additionally, the programme comprises of some live lectures or hangout sessions dedicated to solving your academic queries and to reinforce learning.

Post completion of the programme, an certificate in Executive PG Programme in Machine Learning and AI will be granted from IIIT Bangalore and a Master’s Degree from LJMU.