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AI & ML
📊PG

AI & ML

Offered byLiverpool John Moores University
Duration17 Months
Session📅 July'26
Mode💻 Online + Campus

Program Investment

Online Fee₹5,45,000
With Campus Immersion₹7,45,000
* Seat Blocking Fee: 15,000 (Adjustable in total fee)
Program Insights

Course Overview

The Postgraduate course in Artificial Intelligence and Machine Learning at Liverpool John Moores University is designed to equip students with the knowledge and skills required to develop intelligent systems that can learn, adapt, and interact with their environment. The course covers a wide range of topics, including machine learning, deep learning, natural language processing, computer vision, and robotics. Students will learn how to design, develop, and deploy AI and ML systems, and how to evaluate their performance and impact. The course also covers the ethical and social implications of AI and ML, and how to ensure that these systems are developed and used responsibly. With a strong focus on practical skills and industry applications, this course is ideal for students who want to pursue a career in AI and ML, or who want to enhance their skills and knowledge in these areas.

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Key Learning Outcomes

01

To understand the fundamental concepts and techniques of artificial intelligence and machine learning

02

To develop skills in designing, developing, and deploying AI and ML systems

03

To evaluate the performance and impact of AI and ML systems

04

To understand the ethical and social implications of AI and ML

05

To develop skills in working with AI and ML tools and technologies

Academic Roadmap

Syllabus & Curriculum

A structured learning path designed for mastery.

5Total Modules
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M1: Introduction to Artificial Intelligence and Machine Learning

This module provides an introduction to the fundamental concepts and techniques of artificial intelligence and machine learning, including machine learning, deep learning, and natural language processing.

Key Topics

Introduction to AI and ML
Machine Learning Fundamentals
Deep Learning Fundamentals
Natural Language Processing
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M2: Machine Learning and Deep Learning

This module covers the advanced concepts and techniques of machine learning and deep learning, including supervised and unsupervised learning, neural networks, and convolutional neural networks.

Key Topics

Supervised and Unsupervised Learning
Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M3: Computer Vision and Robotics

This module covers the concepts and techniques of computer vision and robotics, including image processing, object recognition, and robotic systems.

Key Topics

Image Processing
Object Recognition
Robotic Systems
Computer Vision Applications
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M4: Natural Language Processing and Human-Computer Interaction

This module covers the concepts and techniques of natural language processing and human-computer interaction, including text processing, sentiment analysis, and human-computer interaction design.

Key Topics

Text Processing
Sentiment Analysis
Human-Computer Interaction Design
Natural Language Processing Applications
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M5: AI and ML Project

This module provides an opportunity for students to work on a real-world AI and ML project, applying the knowledge and skills learned throughout the course.

Key Topics

Project Planning and Management
AI and ML System Design and Development
System Testing and Evaluation
Project Presentation and Report
🎯 Practical Application
📊 Case Studies
🏆 Assessment
🧠
Advanced Knowledge

Industry-aligned concepts

🛠️
Practical Skills

Real-world tools

🎓
Certification

Global recognition

ROI & Outcomes

Career Impact

Visualize your professional trajectory with data-backed outcomes.

Target Job Roles

3 Roles
💼

AI/ML Engineer

₹15 - ₹30 LPA avg.

Design, develop, and deploy AI and ML systems, including machine learning models, natural language processing systems, and computer vision systems.

Hiring:Google, Amazon, Microsoft...
💼

Data Scientist

₹12 - ₹25 LPA avg.

Collect, analyze, and interpret complex data to inform business decisions, using machine learning, statistical modeling, and data visualization techniques.

Hiring:Facebook, Apple, Netflix...
💼

Business Intelligence Developer

₹10 - ₹20 LPA avg.

Design, develop, and deploy business intelligence systems, including data warehouses, data mining systems, and business analytics systems.

Hiring:SAP, Oracle, Tableau...
💰

Salary Potential

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Freshers
₹8 - ₹15 LPA
Mid-Level
₹15 - ₹30 LPA
Senior
₹30 - ₹50 LPA
🚀

Growth Trajectory

With experience, AI and ML professionals can move into senior roles, such as technical lead, product manager, or director of AI and ML. They can also pursue careers in research and academia, or start their own AI and ML companies.

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Top Hiring Partners

GoogleAmazonMicrosoftIBMAccentureFacebookAppleNetflix

Competency Framework

🛠️ Technical Mastery

PythonRJavaC++TensorFlowKerasPyTorch

🧠 Leadership & Soft Skills

CommunicationTeamworkProblem-solvingLeadershipTime management

Tools & Platforms

Jupyter NotebookGoogle ColabAWSAzureGoogle Cloud
Financial ROI

Salary & Compensation

Analyze the market value and earning potential for professionals graduating from the program.

What drives these numbers?

Location
Industry
Company size
Job role
Experience
💡

Did you know? Professionals with specialized executive certifications often see a 30-50% hike when switching roles.

Projected Growth Path

Annual INR
₹8 - ₹15 LPA
Entry Level0-3 Yrs
₹15 - ₹30 LPA
Mid-Senior4-8 Yrs
₹30 - ₹50 LPA
🚀
Leadership8+ Yrs
Competency Framework

Skills You Will Master

A comprehensive toolkit of technical, strategic, and interpersonal skills designed to future-proof your career in .

💻

Technical Mastery

7 Core Competencies
Python
R
Java
C++
TensorFlow
Keras
PyTorch
🧠

Leadership & Strategy

5 Soft Skills
Communication
Teamwork
Problem-solving
Leadership
Time management
🛠️

Tools & Platforms

5 Technologies
Jupyter NotebookGoogle ColabAWSAzureGoogle Cloud

Proficiency Progression Path

1
Foundation

Core concepts & theory

2
Application

Hands-on projects & labs

3
Analysis

Strategic decision making

4
Expertise

Industry-ready mastery

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Alumni Success

Voices of Impact

Hear from leaders who have redefined their careers through the program.

The AI and ML course at Liverpool John Moores University was an excellent experience for me. The faculty were knowledgeable and supportive, and the curriculum was well-structured and comprehensive. I was able to apply the skills and knowledge I gained to my work at Google, and I would highly recommend this course to anyone interested in AI and ML.

R

Rahul Kumar

AI/ML Engineer

Google

More Stories

2 Reviews
🚀
95%Career Transitions
💰
50%Avg. Salary Hike
🌍
10k+Global Alumni
4.8Course Rating
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Support Center

Frequently Asked Questions

Find answers to common queries about eligibility, curriculum, and admissions.

💬

Still have questions?

Our academic counselors are here to help you make the right choice.

The eligibility criteria for the AI and ML course at Liverpool John Moores University include a bachelor's degree in Computer Science, Engineering, or a related field, and 0-2 years of experience in AI and ML or a related field. Programming skills in languages such as Python, R, or Java, and knowledge of machine learning and deep learning concepts are also required.
AI and ML professionals can pursue careers in a variety of industries, including technology, finance, healthcare, retail, and manufacturing. Job roles include AI/ML engineer, data scientist, business intelligence developer, and more. With experience, AI and ML professionals can move into senior roles, such as technical lead, product manager, or director of AI and ML.