Category
Courses

MSc in Machine Learning and AI - IIIT Bangalore and LJMU

Get a Master of Science in ML and AI from LJMU with a Python Bootcamp

  • Complete access to LJMU’s digital library for research and writing dissertation 
  • Receive 1:1 personalized career mentorship sessions with industry experts 
  • Live sessions to cover ChatGPT, Open AI, Dall, Midjourney and more tools 
Contact Learning Advisor Contact Learning Advisor
Enterprise Training for Teams: Get a Quote
  • 750 + Hours of Learning
  • 15 + Case Studies and Assignments
  • 6 + Practical Capstone Projects

Talk to Learning Advisor

Want to skill up your team?

For Corporate and in-house training

Get a Quote

Master Advanced AI Techniques

Learn in-demand skills such as Deep Learning, NLP, Reinforcement Learning & work on 12+ industry projects, multiple programming tools and a dissertation. Start your ML and AI journey today. The program comes with a round-the-clock student support all seven days of the week. You will get support from dedicated student success mentors and career mentors.

..... Read more
Read less

Program Highlights

  • 90 Live Learning Sessions

  • 750+ Hours of Learning 

  • 6 Capstone Projects

  • 15+ Case Studies and Assignments 

  • 1:1 Career Mentorship Sessions 

  • IIIT Bangalore Alumni Status 

  • Daily Doubt Resolution Support

  • 20 Tools, Languages, and Libraries

Schedules

View All Schedules

Can't find the training schedule you're looking for?

Request a Batch

The upGrad Advantage

Industry Mentors

Receive unparalleled guidance from industry mentors, teaching assistants and graders. 

Student Support

Get 24*7 access to student support team for handling your queries via email or callback requests. 

Expert Feedback

Personalized feedback on assignments and projects, regular live sessions by experts to clarify doubts. 

Doubt Resolution

Timely doubt resolution by industry experts, 100% verified responses to ensure quality learning. 

Career Services

Get mentored by an industry expert and receive personalized feedback for your career journey.

Job Opportunities

Gain exclusive access to upGrad's Job Opportunities portal and gain an edge in the application process.

prerequisites for MSc in Machine Learning and AI – IIIT Bangalore and LJMU

Prerequisites

  • Bachelor's Degree preferably in a Mathematical/ Statistical background with 50% (or equivalent) 
  • Successful completion of the Executive PGP in Machine Learning & AI from IIITB mandatory. 
  • Recommended 1 year of work experience in programming/analytics. 

Who Should Attend

Engineers

IT Professionals

Data Professionals

IT Professionals

Curriculum

1.

Topics:

  • Introduction to Python 
  • Python for Data Science 
  • Data Visualisation in Python 
  • Data Analysis Using SQL (Optional) 
  • Advanced SQL and Best Practices (Optional) 
  • Data Analysis in Excel (Optional) 
  • Analytics Problem Solving (Optional) 
  • Math for Machine Learning 
2.

Topics:

  • Exploratory Data Analysis 
  • Cloud Essentials: Intro to Git and GitHub 
  • Investment Assignment 
  • Inferential Statistics 
  • Hypothesis Testing 
  • Lending Club Case Study 

3.

Topics:

  • Linear Regression 
  • Linear Regression Assignment 
  • Logistic Regression 
  • Naive Bayes 
  • Model Selection 

4.

Topics:

  • Advanced Regression 
  • Advanced Regression Assignment 
  • Support Vector Machine (Optional) 
  • Tree Models 
  • Model Selection - Practical Considerations 
  • Boosting 
  • Unsupervised Learning: Clustering 
  • Unsupervised Learning: Principal Component Analysis 
  • Telecom Churn Case Study 

5.

Topics:

  • Introduction to Neural Networks 
  • Convolutional Neural Networks - Industry Applications 
  • Convolutional Neural Networks - Assignment 
  • Recurrent Neural Networks 
  • Neural Network Project - Gesture Recognition 
6.

Topics:

  • Lexical Processing 
  • Syntactical Processing 
  • Syntactic Processing - Assignment 
  • Semantic Processing 
  • Case Study: Classifying Customer Complaint Tickets
7.

Topics:

  • Cloud Essentials: Intro to AWS 
  • Working with AWS: case study 
  • MLOps: Introduction 
  • MLOps: Data Lifecycle 
  • MLOps: Model Lifecycle 
  • MLops Assignment 
  • Advanced CV 
  • MLOps + Deployment: DL (Theory) 
  • MLOps + Deployment: DL (assignment) 

8.

Topics:

  • Cloud Essentials: Intro to AWS 
  • Working with AWS: case study 
  • MLOps: Introduction 
  • MLOps: Data Lifecycle 
  • MLOps: Model Lifecycle 
  • MLops Assignment 
  • Advanced NLP 
  • MLOps + Deployment: NLP (Theory) 
  • MLOps + Deployment: NLP (assignment)

9.

Topics:

  • Cloud Essentials: Intro to AWS 
  • Working with AWS: case study 
  • MLOps: Introduction 
  • MLOps: Data Lifecycle 
  • MLOps: Model Lifecycle 
  • MLOps Assignment 
  • AI Strategy Framework, Structured Problem Solving/ Data Storytelling 
  • Mapping ML with Data architecture strategy 
  • Executing AI Strategy 
  • AI strategy: Assignment 
10.

Projects:

  • News Recommender System 
  • Credit Card Fraud Detection 
  • Eye for Blind - (Image Captioning) 
  • Sentiment analysis based Product Recommender system 
  • Sales forecasting 
  • Style Transfer using GAN's 

11.
Topics:
  • Classical Reinforcement Learning 
  • Assignment -Classical Reinforcement Learning 
  • Deep Reinforcement Learning 
  • Reinforcement Learning Project
12.

Topics:

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


13.

Topics 

  • 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 

Reviews

A
Akshay patole User
4

This 2-day training session helped me widen my knowledge of Scrum methodologies and Agile principles. Everything was well-organized, though it was an online session. My trainer explained the concepts with real-life examples and ensured every participant was on the same page. I highly recommend this course to everyone who wants to become a Certified Scrum Master. Kudos to the team efforts behind this!

Attended Certified ScrumMaster (CSM)® workshop in August 2022

Z
Zach B Front-End Developer
5

The syllabus and the curriculum gave me all I required and the learn-by-doing approach all through the boot camp was without a doubt a work-like experience! 

Attended Front-End Development Bootcamp workshop in June 2021

A
Amanda H Senior Back-End Developer
5

You can go from nothing to simply get a grip on the everything as you proceed to begin executing immediately. I know this from direct experience! 

Attended Back-End Development Bootcamp workshop in June 2021

E
Emma Smith Front-End Engineer
5

KnowledgrHut’s Front-End Developer Bootcamp helped me acquire all the skills I require. The learn-by-doing method helped me gain work-like experience and helped me work on various projects. 

Attended Front-End Development Bootcamp workshop in May 2021

T
Tyler Wilson Full-Stack Expert
5

The learning system set up everything for me. I wound up working on projects I've never done and never figured I could. 

Attended Front-End Development Bootcamp workshop in April 2021

E
Elyssa Taber IT Manager.
3

I would like to thank the KnowledgeHut team for the overall experience. My trainer was fantastic. Trainers at KnowledgeHut are well experienced and really helpful. They completed the syllabus on time, and also helped me with real world examples.

Attended Agile and Scrum workshop in June 2020

R
Rafaello Heiland Prinicipal Consultant
5

I am really happy with the trainer because the training session went beyond my expectations. Trainer has got in-depth knowledge and excellent communication skills. This training has actually prepared me for my future projects.

Attended Agile and Scrum workshop in April 2020

I
Ike Cabilio Web Developer.
5

I would like to extend my appreciation for the support given throughout the training. My trainer was very knowledgeable and I liked his practical way of teaching. The hands-on sessions helped us understand the concepts thoroughly. Thanks to Knowledgehut.

Attended Certified ScrumMaster (CSM)® workshop in June 2020

View all

Frequently Asked Questions

Program FAQs

This programme 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, or if you have any prior experience as a working professional. You should also have some experience with R/Python/Scala. 

Statistician: If you received formal education in statistics or mathematics or if you have any prior working experience.  

Data Engineer/Big Data Engineer: If you have any prior experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark. 

Software Developer: If you have prior experience on creating and deploying software/apps, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language. 

The programme will benefit you in different ways depending on your prior experiences: 

Data Scientist or Senior Data Analyst: The programme will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Machine Learning role. 

Statistician/Mathematician: Apart from familiarising you with the advancements in ML and AI, the programme will help you understand how to define a structured approach to solve a business problem, and equip you with the right tools so that you can transition to a Machine Learning or Data Science role. 

Data Engineer/Big Data Engineer: The programme will set up a solid foundation of Statistics, Machine Learning, and AI along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Machine Learning or Data Science professional. 

Software Developer: The programme will help you create a strong foundation of Statistics, Machine Learning, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Machine Learning professional. 

Eligibility FAQs

You need a Bachelor's Degree preferably in a Mathematical/ Statistical background with 50% (or equivalent). Successful completion of the Executive PGP in Machine Learning and AI from IIITB. 

It is recommended that you have at least one year of work experience in programming/analytics. 

STEP-1- Online Eligibility Test: Fill out an application and take a quick 40 mins online test of 18 questions to assess your aptitude. 

STEP-2- Review and Shortlisting of Suitable Candidates: Our faculty will review all applications considering the educational and professional background of an applicant and review the test scores where applicable. Following this, offer letters will be rolled out so you’re assured a great peer group to learn and network with. 

STEP-3-  Enrollment for Access to Prep Content: Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey. 

Course Advisor
View Schedules
Enrol Now
Request a Batch