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Download Brochureroles like Scientist, Engineer, Technical Officer, JE, often requiring competitive exams like GATE, ESE, or specific PSU tests for roles in R&D, infrastructure, and defense technology.
Programs
UG Degree
Artificial Intelligence and Machine Learning
2 Years
Overview
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Eligibility Criteria
Access to the CSED – Industry 4.0 Facility for Artificial Intelligence and Machine Learning is generally available to students enrolled in relevant computing and engineering programmes offered by the university, as per institutional guidelines.
Academic Fee
Scholarship
For B Tech Students On the basis of PCM percentage
Candidates eligible for scholarship on the basis of Physics, Chemistry & Mathematics percentage at 10+2 level as mentioned below:
Note: The scholarship amount received in the first year will be applicable for all subsequent years. The student must maintain a minimum CPI of 8.00 to avail the scholarship in the next year of his/her studies.
Top-Tier Companies in Our Placement Network
Programs
UG Degree
Artificial Intelligence and Machine Learning
2 Years
Overview
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Eligibility Criteria
Access to the CSED – Industry 4.0 Facility for Artificial Intelligence and Machine Learning is generally available to students enrolled in relevant computing and engineering programmes offered by the university, as per institutional guidelines.
Academic Fee
GLdvantage
Designed to Produce Future-Ready Engineers
The AIML Engineering programme at GLA University is designed to develop advanced knowledge in manufacturing systems, production processes and industrial engineering practices.
Specialised Industry 4.0 Learning Facility
The CSED – Industry 4.0 Facility for Artificial Intelligence and Machine Learning provides students with exposure to advanced technologies shaping modern digital industries.
Practical Exposure to AI and ML Technologies
The facility enables students to explore how intelligent systems analyse data, learn patterns, and support decision making in real world applications.
Hands-on Learning Environment
Through laboratory sessions, demonstrations, and guided projects, students gain practical experience with AI and machine learning tools and techniques.
Focus on Data Driven Technologies
Students learn how data is collected, processed, and analysed to build intelligent applications across various industries.
Alignment with Emerging Technology Trends
The facility supports the development of skills required in the evolving landscape of artificial intelligence, machine learning, and digital transformation.
Career Prospects
Knowledge of artificial intelligence and machine learning opens opportunities in many technology driven sectors.
Public Sector
B.Tech ECE graduates in the government sector can pursue careers in PSUs, Defense & Space, Telecom, Research, Railways, and Civil Services, with key
Private Sector
B.Tech ECE graduates in the private sector can pursue core electronics roles (VLSI, Embedded Systems, Telecom, RF Engineering, Electronics Design),
IT/Software jobs (Software Developer, AI/ML Engineer, Data Analyst), and emerging tech fields like Robotics and IoT, with top recruiters including major IT firms. Key paths involve Hardware/Software roles, R&D, and Network Engineering, focusing on areas like signal processing, systems, and automation for diverse opportunities in tech giants and startups.
Further Study Options
Potential career paths include
- Artificial intelligence development teams
- Data science and analytics organisations
- Technology companies and digital platforms
- Research and innovation centres
- Startups focused on intelligent technologies
Possible career paths include
- AI Engineer
- Machine Learning Engineer
- Data Analyst
- Data Scientist
- AI Research Associate
- Intelligent Systems Developer
Research
Think Beyond Innovation in a Research-Driven Environment
Our researchers pushing the frontiers of knowledge and discovery to explore complex problems and find solutions.
850+
Patents
Published
14
Research
Centres
12k+
Publications in
SCI & Scopus
Outcomes & Objectives
Understand the fundamental concepts and principles of artificial intelligence and machine learning.
Analyse datasets and apply appropriate machine learning techniques to derive insights.
Develop simple intelligent systems and predictive models using modern tools and frameworks.
Use computing platforms and technologies for data analysis and AI based application development.
Work effectively in teams to design and implement AI driven projects.
Communicate technical ideas and analytical findings clearly in academic and professional environments.
Recognise ethical considerations associated with artificial intelligence and data driven technologies.
Demonstrate the ability to keep pace with advancements in AI and machine learning.
Provide students with knowledge of artificial intelligence and machine learning concepts used in modern computing systems.
Develop the ability to design and implement data driven solutions using machine learning techniques and tools.
Enable students to analyse data and develop intelligent solutions for real world technological challenges.
Encourage continuous learning and the ability to adapt to rapidly evolving AI and machine learning innovations.
Design and develop applications that use artificial intelligence and machine learning techniques to solve practical problems.
Analyse datasets and create models capable of identifying patterns and supporting decision making processes.
Use modern programming tools and machine learning platforms for developing AI based systems.
Explore how artificial intelligence is applied in areas such as automation, analytics, and intelligent digital services.
Why CSED – Industry 4.0 Facility Artificial Intelligence and Machine Learning?
CSED – Industry 4.0 Facility Artificial Intelligence and Machine Learning is designed to develop expertise in intelligent systems, automation, and advanced computational technologies that are transforming modern industries. The program focuses on machine learning algorithms, neural networks, computer vision, and intelligent decision-making systems, enabling students to build solutions for complex real-world challenges across diverse domains.
The curriculum emphasizes practical implementation through modern tools, industry-relevant projects, and exposure to emerging Industry 4.0 technologies. Students gain hands-on experience in developing AI models, data-driven applications, and automation systems while learning under the guidance of experienced faculty in advanced laboratory environments. This program prepares graduates for high-growth careers in intelligent computing, digital innovation, and advanced technology sectors.
What else can you do while studying at GLA
GLA University offers a wide range of campus extra-curricular activities across all domains.
These activities are organized through student clubs, departmental societies, university festivals, and regular institutional programs. Typical categories and representative examples
Admission Process
How to apply to GLA
Registration
Register online by filling in your basic details on the admission portal.
https://
student.glauniversity.in/
Main/Admission
That’s it — your journey with GLA begins here.
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