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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Introduction Key Highlights Certificate Syllabus Instructors Program Fees Eligibility & Admissions FAQs
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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
    May 15, 2025
  • Duration
    18-20 months
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  • 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
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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

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Generative AI tools covered

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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.

certificate-masters-in-ml-ai-ljmu-max

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
With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most wel...
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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

  • Calendar Icon 5 Weeks
Topics (5)
  • EDA + Welcome
  • Intro to Git & Github
  • Lending club case study
  • Inferential Stats
  • Hypothesis Testing
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Machine Learning - I

  • Calendar Icon 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
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Machine Learning - II

  • Calendar Icon 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
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Deep Learning

  • Calendar Icon 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)
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Natural Language Processing

  • Calendar Icon 7 Weeks
Topics (6)
  • NLP - Lexical Processing
  • NLP - Syntactic Processing
  • NLP Assignment - Syntactic Processing
  • NLP - Semantic Processing
  • Ticket classification Project
  • Buffer - Skill test(NLP)
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ELective : MLops Elective

  • Calendar Icon 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
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Elective : Generative AI Elective

  • Calendar Icon 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
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Capstone

  • Calendar Icon 4 Weeks
  • Capstone
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Research Methodologies

  • Calendar Icon 10 Weeks
Topics (6)
  • Introduction to Research and Research Process
  • Research Design
  • Literature Reviewing
  • Research Project Management
  • Report Writing and Presentation Skills
  • Scientific Ethics
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Master's Dissertation

  • Calendar Icon 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
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Download Syllabus

INSTRUCTORS

Whom will you learn from?

  • instructors-icon-1
    5 Instructors
  • instructors-icon-1
    5 Industry Experts
dhiya-al-jumeily

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 Lear...

    Read More
LJMU Profile
Debabrat_Das__1626247875355

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 Artif...

    Read More
IIITB Profile
chandrashekar-ramanathan

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 multination...

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IIITB Profile
tricha-anjali

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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g-srinivasraghavan

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 seve...

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s-anand

S. Anand

  • CEO

  • 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.

    A gold medalist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data ...

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LinkedIn Profile
mirza-rahim-baig

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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SajanK__1576576550562

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 ...

    Read More
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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 Learnin...

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ujjayini-mitra

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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MS In AI And ML - Projects

Learn by Doing

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

  • instructors-icon
    Engage in collaborative projects with student-mentor interaction
  • instructors-icon
    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 t...

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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Skills learned
  • Data Cleaning
  • Data Visualisation
  • Data Analysis
  • Data Interpretation
  • MS in AI and ML
Model Selection Case Study -Telecom Churn
As a business analyst, I've been tasked with helping a telecom company combat customer churn, a major pain...
As a business analyst, I've been tasked with helping a telecom company combat customer churn, a major pain point in the competitive telecom industry. To achieve this, I propose a data-driven approach that leverages the power of Masters in Artificial Intelligence and Machine Learning.
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Skills learned
  • Logistic Regression
  • Tree Models
  • Model Selection
  • Feature Engineering
  • Classification
  • MSc Artificial Intelligence and Machine Learning
  • Model Evaluation
  • Business Problem Solving
Advanced ML Case Study - Telecom Churn
Telecom companies operate in a fiercely competitive landscape like artificial intelligence and machine lea...
Telecom companies operate in a fiercely competitive landscape like artificial intelligence and machine learning masters, constantly grappling with the challenge of customer churn. A data scientist can play a critical role in identifying churn-prone customers and devising data-driven strategies to retain them, ultimately boosting customer lifetime value and improving profitability.
Know More
Skills learned
  • Logistic Regression
  • Tree Models
  • Boosting
  • Model Selection
  • Regularization
  • Feature Engineering
  • Classification
  • MS in Machine Learning and Artificial Intelligence
  • Model Evaluation
  • Business Problem Solving
Lending Club Case Study
In this assignment, you will work for a consumer finance company which specialises in lending various t...

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 applicants are capable of repaying the loan and are not rejected.

Know More
Skills learned
  • Data Cleaning
  • Data Visualisation
  • Data Analysis
  • Data Interpretation
Bike Sharing Assignment
Build a regression model to understand the factors on which the demand for bike sharing systems vary on an...
Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue.
Know More
Skills learned
  • Data Cleaning
  • Data Visualisation
  • Data Analysis
  • Data Interpretation
  • Linear Regression
Advanced Regression Assignment
Build a regularized regression model to understand the most important variables to predict housing prices ...
Build a regularized regression model to understand the most important variables to predict housing prices in a US market
Know More
Skills learned
  • Data Cleaning
  • Data Visualisation
  • Data Analysis
  • Data Interpretation
  • Generalized Linear Regression
  • Regularization
  • Hyperparameter Tuning
  • Data Mining
Melanoma Detection Assignment
Build a custom convolutional neural network neural network from scratch in Tensorflow to identify the t...

Build a custom convolutional neural network neural network from scratch in Tensorflow to identify the type of skin cancer from image.

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Skills learned
  • Data Understanding
  • Data Visualization
  • Convolutional Neural Network
  • Model Building and Training
  • Data Augmentation
  • Class Imbalance
  • Model Evaluation
Gesture Recognition Project
Make a Smart TV system which can control the TV with user’s hand gestures as the remote control. ...
Make a Smart TV system which can control the TV with user’s hand gestures as the remote control.
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Skills learned
  • Data Understanding
  • 3D Convs
  • CNN-RNN
  • Generator Functions
  • Model Building and Training
  • Model Tuning
  • Model Evaluation
Custom Entity detection in Healthcare data
Build a custom NER to get the list of diseases and their treatment from a medical healthcare dataset. ...
Build a custom NER to get the list of diseases and their treatment from a medical healthcare dataset.
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Skills learned
  • Regular expressions
  • Text cleaning
  • Bag-of-Words model
  • TF-IDF
  • Model building
  • PoS tagging
  • Parsing
  • NER
  • Custom NER and CRF
Classification of customer complaints
Create a solution that will help in identifying the type of complaint ticket raised by the customers of...

Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank

Know More
Skills learned
  • Data Cleaning
  • Data Preprocessing
  • Data Visualisation
  • Feature Extraction
  • Topic Modelling
  • Model Building
  • Model Inference
Lead Scoring
Build an end-to-end MLOps pipeline for an edtech company to identify customers most likely to convert a...

Build an end-to-end MLOps pipeline for an edtech company to identify customers most likely to convert and streamline the overall lead conversion process

 
Know More
Skills learned
  • Pycaret
  • MLflow
  • Data Ingestion Pipeline
  • Model Training Pipeline
  • Model Inference Pipeline
Style Transfer using GAN's
Build a Model for converting MRI images from one type (T1) into other (T2) and vice versa.
Build a Model for converting MRI images from one type (T1) into other (T2) and vice versa.
Know More
Skills learned
  • Custom model building
  • Model tuning
  • Data cleaning and wrangling
  • EDA and visualisation
  • Generative Adversarial Network (GAN)
  • CycleGAN
  • ML Modelling
  • Model Evaluation
  • Business Problem Solving
Sales Forecasting

Help an European pharma giant accurately forecast sales at their individual stores

 

Help an European pharma giant accurately forecast sales at their individual stores

 
Know More
Skills learned
  • Data Understanding
  • Data Preparation
  • Time Series Analysis - ARIMA, SARIMA, VAR, VARMAX
  • Model evaluation
Eye for the Blind
Build a model that can help any visually impaired person in understanding image present before them. ...
Build a model that can help any visually impaired person in understanding image present before them.
Know More
Skills learned
  • Computer vision
  • Image captioning
  • Text to speech
  • CNN-RNN based architecture
  • Attention model
  • Custom model building using Tensorflow
  • Data preparation using Tensorflow
Sentiment analysis based Product Recommender system
Build a sentiment analysis based product recommendation system to recommend the similar products to the us...
Build a sentiment analysis based product recommendation system to recommend the similar products to the users. Sentiment analysis is used to fine tune the product recommendation system.
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Skills learned
  • Data preparation
  • Lexical Processing
  • ML Model building
  • Recommender System
  • Model evaluation
  • Model deployment
News Recommender System
Build a model to using the concepts of natural language processing and recommender systems to recommend ne...
Build a model to using the concepts of natural language processing and recommender systems to recommend news stories to users on a popular news platform.
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Skills learned
  • Data Preparation
  • Collaborative Filtering
  • Content-based Filtering
  • Hybrid Recommender System
  • Exploratory data analysis
  • Machine learning
  • Model building
  • Model evaluation

Machine Learning Masters Programs Class Profile

Who've enrolled for this course?

The program is designed for people from various sectors. The variety of students enriches class discussions and
interactions.

By Industry
Information Technology and Services
59%
Education
7%
Banking and Financial Services
6%
Healthcare
4%
Other
24%
By Work Experience
9%
4%
23%
20%
44%
By Highest Qualification
GRADUATION
68%
POST_GRADUATION
24%
INTERMEDIATE
3%
Others
5%
By Degree Type
64%
6%
5%
5%
20%
By Age
34+
40%
30-34
24%
26-30
25%
22-26
9%
Others
2%
By Gender
78%
22%

Machine Learning Masters Programs Learner Services

How will upGrad support you?

360 Degree Career Support services, Personalized Mentorship from Industry Experts, Hands-on Projects, Peer Networking opportunities & a whole lot more to help you master Machine Learning & AI.

Cost Effective
  • Upgrade your career at 1/10 the cost of the same on campus program
Learn and Earn
  • Get world class credentials without leaving your job from the comfort of your home
Industry Driven
  • Learn through curriculum created by the industry for the industry
  • Learn and get coached by leading industry experts from around the glob
Flexible
  • Experience world class education on-demand through our proprietary app and website
Unparalleled Support
  • Work with a dedicated upGrad buddy who will handhold you throughout the program
  • Get expert verified resolutions for all your doubts within hours
  • Weekly live sessions with industry experts on doubts, career & communication
Career Preparation
  • Rigorous career preparation with resume feedback, personal branding on LinkedIn
  • Career booster content to help understand how to search for jobs, prepare for interviews, negotiate your salary etc.
  • Industry mentorship - Receive mentorship from industry leaders of the domain to help you reach your desired career goal
Networking
  • Opportunity to network with accomplished professionals, faculty and industry experts from 50+ countries
  • Part of 50K+ alumni base who are working in top companies like Amazon, ESPN, Visa, Microsoft, E&Y, Accenture.

Our Learners Work At

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Success stories

What Our Learners Say

Updated with the latest industry practices and trends

My transformative journey with upGrad has been nothing short of remarkable. The program provided me with a comprehensive learning experience that equipped me with the latest tools and skills used in the industry. From design to publishing, I learned how to navigate through every stage of a project efficiently.One aspect that particularly impressed me was the platform itself. It's user-friendly and constantly evolving based on student feedback, ensuring that we have access to the best resources and learning materials available. The live classes conducted by industry professionals were invaluable, keeping me updated with the latest industry practices and trends.Overall, I am extremely satisfied with what I've learned through upGrad. It's not just about acquiring knowledge but also about connecting with professionals and building a network that will be beneficial for my career growth. I am truly grateful for the opportunity to be a part of this transformative journey with upGrad.

My transformative journey with upGrad has been nothing short of remarkable. The program provided me with a comprehensive...

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Machine Learning Cassandra Pratt Romero
Cassandra Pratt Romero
  • Software Engineer at Microsoft
  • 6 Years of Experience

The urge to upskill myself led me to join this program

The urge to upskill myself led me to join this program. The program has been really great and has instilled a sense of confidence in me. The idea that I am part of something that is going to bring a revolution in near future is incredible. Post upGrad, I plan to continue my journey into the vast ocean of Artifical Intelligence and make a good name for myself.

The urge to upskill myself led me to join this program. The program has been really great and has instilled a sense of c...

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Machine Learning Atul Chauhan
Atul Chauhan
  • Applied Controls Engineer at Daikin
  • 8 Years of Experience

The progress in AI and ML in the last decade sparked my curiosity about this topic

The progress in AI and ML in the last decade sparked my curiosity about this topic. The UpGrad program looked well planned and built, with a reasonable price. The offline mode of education allowed me to study and learn while working at my job. During my learning journey with upGrad, I reinforced and learned new concepts I plan to use in my daily life and professional career. In the future, I will continue working and learning about these topics and applying them to my jobs.

The progress in AI and ML in the last decade sparked my curiosity about this topic. The UpGrad program looked well plann...

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Machine Learning Jheser Guzman Illanes
Jheser Guzman Illanes
  • Vice President of Software Engineering at JPMorgan Chase & Co.
  • 18 Years of Experience

It was a fantastic journey so far with the support of UpGrad team

I wanted to get into the ML\AI space for some time and decided to enroll in upGrad after being inspired by a friend. It was a fantastic journey so far with the support of upGrad team (special kudos to Karen for the excellent job) and I never imagined that I can make this far as I am a pretty occupied individual personally as well as professionally. I am looking forward to complete my masters and pursue PhD in near future. The foundation provided was fabulous and has enabled me to do design some innovative solutions at work. Thanks to upGrad for making it happen.

I wanted to get into the ML\AI space for some time and decided to enroll in upGrad after being inspired by a friend. It ...

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Machine Learning VSMY NARESH KUMAR KUPPILI
Vsmy Naresh Kumar Kuppili
  • Solution Architect at Image Access Corp
  • 11 Years of Experience
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Program Fees: SGD 12,830

MSc In AI And Machine Learning- Admissions

How To Apply

The admissions process for Liverpool John Moore University's MS in Machine Learning & AI is very easy and can be done completely online

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Eligibility

50% (or equivalent) Bachelor's Degree preferably in a Mathematical/ Statistical background. Recommended 1 year of work experience in programming/ analytics.

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Complete Application

Fill out an application giving your basic profile details.

Fill out an application giving your basic profile details.

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Selection Test

Give a short aptitude test and get shortlisted.

Give a short aptitude test and get shortlisted.

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Get shortlisted & receive your offer letter

Our Admissions Committee will review your test score & profile. Upon qualifying, an offer letter will be sent to you confirming your admission in Master's in Machine Learning & Artificial Intelligence.

Our Admissions Committee will review your test score & profile. Upon qualifying, an offer letter will be sent ...

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Confirm your seat & begin with your prep - course

Confirm your seat by enrolling into the program and making the initial caution payment. Begin your preparatory course & start your career in Machine learning & AI.

Confirm your seat by enrolling into the program and making the initial caution payment. Begin your preparatory...

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Apply Now
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Refer someone you know and receive cash reimbursements of up to
!*

*More details under the referral policy under Support Section

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Start Referring *T&C Click Here

Frequently Asked Questions

1. How do I know if this program is for me?

This program is for you if you are a:Data Scientist or Senior Data Analyst: If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, and have sp...
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The program will benefit you in different ways depending on your prior experiences:Data Scientist or Senior Data Analyst: The program will familiarise you with the advancements in ML and AI. It will a...
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This program intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and an understanding of cutting-e...
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This program 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 Sta...
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This program is NOT intended to serve as an entry point to the field of Data Science. It is aimed at developing professionals who can be absorbed into Senior Data Scientist and Machine Learning/AI rol...
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Post completion of the program, a certificate in Executive Diploma in Machine Learning and AI will be granted from IIIT Bangalore and a Master's Degree from LJMU.
Please find the link to the LJMU Collaborative Provision Register, where students can verify validation of the award on the LJMU web pages.
Please find the link to the Program Specifications of the MSc ML & AI program on the LJMU website.

1. What type of learning should I expect?

The content will be a mix of asynchronous lectures from industry leaders as well as world-class faculty. Additionally, the program comprises of some live lectures or hangout sessions dedicated to solv...
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1. What is the selection process for this program?

upGrad, IIITB, LJMU, world-class faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the candidates can receive the best poss...
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1. Is there any deferral or refund policy for this program?

Refund Policy: 1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Appl...
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Disclaimer

upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.