Lingayas - The Best Autonamous College to Enroll for Lifetime

Where vision meets construction.

It is a forward-looking program tailored for the digital age. This four-year undergraduate course is designed to equip students with deep knowledge and practical skills in AI and ML to build smart, adaptive systems for real-world challenges

Our Vision

The Department of Computer Science Artificial Intelligence and Machine Learning will strive
to be the most effective research and innovative center in the field of information and
other fields focused on empowering people to provide scientific and social assistance

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Overview

Lingayas Enables a system to improve from experience.

Students explore the foundations of machine learning algorithms, deep learning, natural language processing (NLP), computer vision, and robotics, along with essential concepts from computer science, mathematics, and statistics.

Expert Faculty
Attention to Detail
Oral communication skills

Our Mission

Receive rigorous training to generate knowledge using the latest concepts and techniques in
artificial intelligence and machine learning.

Develop a student's technical skill through innovation and leadership. Inculcate the values of work ethic,
social concern, environmental protection and lifelong learning.
To encourage students for pursuing higher education and research.
Faculty contributions to research, publications, and thought leadership.

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PSOs

Program Specific Outcomes

AI & ML at LIMAT are not explicitly detailed in the available sources, the program aims to develop graduates

Apply AI & ML Techniques: Implement machine learning algorithms and data science methodologies to solve complex problems across various domains
Develop Intelligent Systems: Design and develop intelligent systems and applications that can learn and adapt to new situations
Utilize Modern Tools: Employ contemporary tools and technologies for data analysis, model training, and system deployment.
Engage in Lifelong Learning: Adapt to the rapidly evolving field of AI & ML through continuous learning and professional development.
Adhere to Ethical Standards: Recognize and uphold professional and ethical responsibilities in engineering practices.

FAQs (Frequently Asked Questions)

1. What is AI&ML Engineering?

AI&ML engineering focuses on the design, development, and application of artificial intelligence (AI) and machine learning (ML) techniques to build intelligent systems that can learn and adapt from data.

2. What subjects are covered in the AI&ML program?

Key subjects include:

Introduction to Artificial Intelligence
Machine Learning Algorithms
Deep Learning and Neural Networks
Natural Language Processing (NLP)
Computer Vision
Data Structures and Algorithms
Mathematics for AI (Linear Algebra, Probability,Statistics)
Robotics and Autonomous Systems
Reinforcement Learning

3. What skills are essential for AI&ML engineering?

" Key Required Skills are...

Proficiency in programming languages like Python, R, and Java
Strong foundation in mathematics and statistics
Knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Problem-solving and analytical skills
Data analysis and visualizations
Project management and organizational skills

4. What career opportunities are available after AI&ML?

"Graduates can work in roles such as:

Machine Learning Engineer
AI Research Scientist
Data Scientist
Robotics Engineer
AI Product Manager
Computer Vision Engineer

5. Which industries hire AI&ML professionals?

"AI&ML professionals are in demand across industries likes

Technology (Google, Microsoft, Amazon)
Healthcare (AI diagnostics, personalized medicine)
Finance (fraud detection, algorithmic trading)
Artificial Intelligence in Design and Planning
Automotive (autonomous vehicles)
Retail (recommendation systems, demand forecasting)
Entertainment (AI in gaming, content personalization)

6. What are the top companies hiring AI&ML engineers?

"Construction and Real Estate

Microsoft
Amazon
Meta (Facebook)
IBM
Nvidia and Tesla