About the Course
The B.Tech. in Artificial Intelligence and Machine Learning (AI & ML) is an advanced undergraduate programme tailored to meet the global demand for professionals skilled in intelligent computing systems. The course focuses on the design, development, and deployment of algorithms and models that enable machines to think, learn, and act autonomously. It emphasizes not only the foundations of computer science but also specialized knowledge in deep learning, neural networks, natural language processing, robotics, and computer vision.
By integrating theory, research, and hands-on practice, the programme prepares graduates to address real-world challenges in automation, data-driven decision making, and emerging technologies across diverse sectors.
About the Department
The Department of Artificial Intelligence and Machine Learning at Trichy Engineering College is committed to creating an academic and research-oriented ecosystem that cultivates innovation and problem-solving skills. Faculty members bring expertise in AI, ML, Data Science, Robotics, and Software Engineering, ensuring that students gain cutting-edge knowledge along with practical experience.
Departmental highlights include:
- Regular industry interactions with AI labs, IT firms, and start-up ecosystems.
- Workshops, hackathons, and conferences to enhance student exposure to the latest AI/ML trends.
- Research collaborations that promote publications, patents, and innovative projects.
- A focus on developing professional ethics, creativity, and leadership in future AI specialists.
The department is driven by the goal of producing graduates who can contribute to both academic research and industry innovation.
About the Curriculum
The curriculum follows the AICTE model and Anna University syllabus framework, structured under the Outcome-Based Education (OBE) system. It covers fundamental computer science concepts along with advanced AI/ML technologies.
Electives and Advanced Modules
- Reinforcement Learning, Cybersecurity with AI, IoT-enabled AI, Quantum Computing Basics
- Industry Certification Programs from Microsoft, Google, AWS, and IBM
Project & Research Integration
- Mini Projects from the second year
- Capstone Industry Projects in the final year addressing practical applications of AI/ML
- Opportunities for research publications, patents, and entrepreneurship incubation
Core Subjects:
- Programming in Python, C++, and Java
- Artificial Intelligence and Expert Systems
- Machine Learning and Deep Learning
- Neural Networks and Fuzzy Logic
- Natural Language Processing (NLP)
- Computer Vision and Pattern Recognition
- Robotics and Automation
- Cloud Computing & Edge AI
This curriculum ensures that students are future-ready with academic depth and industry relevance.
Laboratory Facilities
The department houses specialized laboratories to support advanced training and innovation:
Machine Learning & Deep Learning Lab
Equipped with GPU-powered systems, TensorFlow, PyTorch, Keras.
Natural Language Processing & Computer Vision Lab
Facilities for speech recognition, image processing, and video analytics.
Robotics & Automation Lab
Tools and kits for robotic programming, autonomous vehicles, and drone technology.
Cloud & AI Integration Lab
Resources for cloud deployment of AI models and scalable solutions.
Innovation Hub
Dedicated space for student-led projects, start-ups, and interdisciplinary research.
These labs provide a research-driven learning environment, enabling students to experiment, innovate, and prototype real-world solutions.
Career Opportunities
Graduates of B.Tech. AI & ML are in high demand across industries that rely on intelligent systems and automation. Career paths include:
- Machine Learning Engineer
- Artificial Intelligence Engineer
- Deep Learning Specialist
- Robotics Engineer
- Computer Vision Engineer
- Natural Language Processing Specialist
- AI Research Scientist
- Automation Consultant / Entrepreneur
With applications spanning IT, healthcare, defense, automotive, manufacturing, e-commerce, and finance, AI & ML professionals are among the most sought-after technologists globally.
Eligibility Criteria
Duration
4 Years (8 Semesters), Full-Time Programme
Minimum Eligibility
- Completion of 10+2 (Higher Secondary) with Mathematics, Physics, and Chemistry as compulsory subjects.
- Minimum aggregate marks as prescribed by Government of Tamil Nadu / Anna University norms for various categories (General / BC / MBC / SC / ST).
- Admission Process: Through Tamil Nadu Engineering Admissions (TNEA) counseling and Anna University guidelines.
- Lateral Entry: Diploma holders in relevant disciplines may gain admission directly into the second year, as per DOTE/Anna University regulations.
