Department

Artificial Intelligence and Machine Learning

Established in 2020 and headed by Dr. Deepika Lokesh. The department focuses on academic excellence, trending technologies and industry-institute interaction.

2021 Year established
120 Sanctioned intake
13 Teaching faculty
17+ Years, HOD experience
4 Specialised labs

About the department

The department of Artificial Intelligence and Machine Learning was established in the year 2020, currently with an intake of 120 students and headed by Dr Deepika Lokesh with an academic experience of more than 17 years. The main objective of the department is to provide academic excellence, knowledge and nurture talent in the area of Computer Science. The department has an excellent, dedicated, committed and experienced faculty. The Department has well equipped laboratory with state of the art infrastructure. To enable the students to update themselves with latest technologies, industry-institute interactions are arranged regularly. The students are encouraged to participate in the national level conferences and workshops. The Department also regularly organizes guest, invited lectures and conferences.

The Teaching-learning process put in place by the Department is well defined to help students explore the trending technologies via Skill Development Programmes.

B.E. — 4 years VTU affiliated, 8 semesters
CET code E184 COMEDK code E202
Skill programmes Trending-technology electives
Dr. Deepika Lokesh

Dr. Deepika Lokesh

Professor and Head
BE, MTech, PhD

Head's message

Welcome to the Department of Artificial Intelligence and Machine Learning, CBIT Kolar.

The Department is well-supported by seasoned faculty members with an average experience of 8 years. It also boasts of a state-of-the-art infrastructure facility that supports and encourages students to acquire knowledge and gain practical experience. During the course, students mould their careers, polish their technical skills and inculcate team spirit with exceptional oral and written communication skills. The Department also extends technical support to the students to participate in competitions and hackathons at state, national and international levels.

The faculty members are encouraged to acquire higher degrees and conduct research in the areas that benefit the society. They are also supported in conducting and participating in workshops, symposium and conferences at national and international levels. Last but not the least, they are motivated to adopt innovative teaching methodologies and best practices to make classroom a pursuit of learning.

Vision

To develop Competent Professional in the Field of AI&ML Contributing Globally to the Benefits of Society and Industry

Mission

  1. 01To develop state of the Art Academic and Infrastructural faculties with modern equipment and other learning resources to produce self-sustainable professionals
  2. 02To Collaborate with industry to uplift innovative research and development in AIML and its allied fields to serve the needs of society
  3. 03To produce successfully computer graduates in AI&ML with personal & professional responsibilities and commitments to lifelong learning

Programme overview

B.E. in Artificial Intelligence & Machine Learning — eight semesters under the VTU scheme.

Year 1

Mathematics, physics and chemistry cycles, programming in C, basic electronics, engineering graphics.

Year 2

Data structures, digital design, operating systems, DBMS, analysis and design of algorithms.

Year 3

Artificial intelligence, machine learning, computer networks, web technologies, mini project.

Year 4

Deep learning and professional electives, internship, major project and seminar.

Faculty

Teaching staff of the department. Profiles open in full.

Labs and infrastructure

Laboratories supporting the AI & ML curriculum.

Digital Design Lab

Logic design and digital-circuit experiments.

Power BI Lab

Data visualization, business intelligence dashboards, and reporting practice.

Machine Learning Lab

Supervised and unsupervised learning models and predictive analysis.

Deep Learning and GenAI Lab

Neural networks, large language models, and generative AI pipelines.

Intelligent Automation Lab

Robotic process automation, smart workflows, and system optimisation .

Data Science and Computer Vision Lab

Image processing, pattern recognition, and large-scale data analytics.

Research & publications

CONFERENCE

ICNEXT-2026

International Conference on Next Gen Engineering Technology. Paper submissions open to all departments.

Placements

Recruiters hiring AI & ML graduates from the CBIT campus.

Placement cell

Campus news and events

Department activities and institute-wide events.

View all →

Contact the department

For admissions, curriculum or research enquiries.

Dr. Deepika Lokesh — Professor and Head

Artificial Intelligence and Machine Learning

CBIT Campus, Kolar – Srinivaspura Main Road, Thoradevandahalli, Kolar 563101