103
Job offers 2026(Ongoing)
15 LPA
Highest CTC 2026
73
Internship offers 2026
60 KPM
Highest Stipend 2026
173
Job offers 2025
50 LPA
Highest CTC 2025
166
Internship offers 2025
1.10 LPM
Highest Stipend 2025
73
Job offers 2024
11.5 LPA
Highest CTC 2024
35
Internship offers 2024
50 KPM
Highest Stipend 2024
About the Department
The Department of Artificial Intelligence and Machine Learning at RNS Institute of Technology (RNSIT), Bengaluru, is a specialized academic unit dedicated to advancing the domains of artificial intelligence, machine learning, and allied technologies. The AI&ML Department at RNSIT has highly qualified, experienced & dedicated faculty committed to imparting technical knowledge using advanced pedagogic methodologies. The team includes 46 highly experienced faculty with 18 doctorates, 10 pursuing Ph.D and 2 Professors of Practice. The department has an approved annual intake of 360 students and aims to equip learners with strong theoretical foundations, practical skills, and industry-relevant competencies required to succeed in the rapidly evolving technological landscape, while fostering innovation, research aptitude, and professional ethics. The department places strong emphasis on experiential learning through projects, internships, industry interaction, research activities, hackathons, and co-curricular engagements. In addition to academic excellence, the department promotes holistic development. The Department also contributes healthily to the sports teams. Regular activities at the department include induction programs, orientation programs, technical and motivational talks, skill development workshops with hands-on training, internships, seminars on project/subject, placement training (aptitude, soft skills, technical), project open house, Industrial visits, department fest AI-Fiesta held every year, NSS Activities – Blood Donation, Sapling Plantation, CSR activities, Independence Day celebrations, at-home farewell programs, alumni meets, etc.

Vision
Empowering AI & ML Engineers to seamlessly integrate society and technology
Mission
- To Foster ethical values & engineering norms and standards in AI&ML graduates.
- To Inculcate, strong mathematical foundations as applied to AI&ML domain.
- To Equip AI&ML graduates with skills to meet Industrial and Societal challenges.
- Engineering knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Environment and sustainability:Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
The graduates of AI&ML program will be able to:
- Apply their knowledge and skills in various walks of industry and society to solve emerging problems.
- Become successful AI&ML engineers and responsible citizens of the country.
- Contribute in solving the global IT as well as other industry needs of the hour using state of the art technologies with ease.
The graduates of AI&ML program will be enabled to:
- Possess knowledge and skills in applied mathematics, AI, ML and their applications in problem solving.
- Work in competitive environment in IT and ITES profiles across the globe maintaining high moral and ethical practices.
- Grow to their best potential as AI&ML engineers, Data scientists and Data Analysts.
HOD's Message
Our Latest Events

Luminus 2026
The Grand Hackathon at Luminus 2026, organized by the Department of CSE (AI&ML) was designed to provide a dynamic platform for students and innovators to explore, design, and develop impactful solutions to real-world challenges. It focussed on emerging areas such as MCP-based systems, agentic AI, and developer tools, enabling participants to strengthen their problem-solving, collaboration, and innovation skills. With an emphasis on creativity and rapid prototyping, the hackathon encouraged participants to transform ideas into practical solutions in a competitive environment. Supported by an exciting prize pool of ₹1,20,000+, the event fostered technical excellence and the development of future-ready professionals.

FDP on Agentic AI: Design, Development & Real-World Applications
The Five-Day National Level Online Faculty Development Programme (FDP) on “Agentic AI: Design, Development & Real-World Applications” was designed to provide faculty members, researchers, and students with a comprehensive foundation in the principles and emerging trends of Agentic AI. The programme focused on strengthening participants’ understanding of autonomous intelligent systems, covering their core concepts, design principles, architectures, and development methodologies.

SDP on Agentic AI: Design, Development & Real-World Applications
The Department of CSE (AI&ML), organized a comprehensive Three-days Student Development Programme titled “Agentic AI: Design, Development & Real-World Applications”. This initiative was designed to equip students with a strong foundation in the concepts and advancements of Agentic AI.

Advance Faculty Development Programme on Cybersecurity
Organized by RNS Institute of Technology (RNSIT) in collaboration with CySeck, the programme effectively enhanced participants’ understanding of advanced cybersecurity concepts and emerging challenges. It provided in-depth knowledge of modern cryptographic techniques and addressed potential threats posed by quantum computing.

Joy of Coding Microcontrollers for IoT Applications
The Department of CSE (AI&ML), in collaboration with the Department of ECE at RNSIT, organized a comprehensive five-day Faculty Development Programme titled “Joy of Coding Microcontrollers for IoT Applications”. This initiative was designed to equip educators with practical skills in modern embedded systems and IoT, specifically focusing on ARM LPC2148 and ESP32 platforms.

FDP on Mathematics for AI & ML: Theory, Algorithms & Responsible Practice official pre-summit event of India- AI Impact Summit 2026
This FDP comprised 19 technical sessions in addition to the Inaugural and Valedictory sessions, conducted in hybrid mode. The programme featured eminent academicians and industry experts from IITs, NITs, IIST, CSIR, Central and State Universities, VIT, and reputed engineering institutions, along with in-house faculty members of RNS Institute of Technology.

AIDEA 3.0: The Open House Project Expo
The Open House Project Expo – 2025 (AIDEA 3.0) was held to showcase the diverse array of innovative projects developed by students from various disciplines. Organized with the aim of promoting creativity, collaboration, and practical application of knowledge, the expo provided an excellent platform for students to demonstrate their skills and ideas.

C-Quest, A problem solving Coding Challenge in C Programming
C-Quest was organized to introduce first-semester students to the fundamentals of competitive programming and problem-solving using the C programming language. The event aimed to expose students to real-time coding environments, analytical thinking, and logical reasoning, while familiarizing them with industry-standard competitive platforms.

Hands on Workshop on IPC and Daemon Processes
The hands-on workshop provided engineering students with valuable practical experience in IPC mechanisms and daemon processes. The combination of theoretical explanation and live programming strengthened their understanding of Linux system programming and prepared them for advanced coursework and industry applications.

SDP on UNIX Shell Programming
UNIX Skill Development Program was organized for 5th Sem Students. The training sessions were highly informative and gave students a strong foundation in UNIX-based operating systems.

AlgoQuest
AlgoQuest: A competitive hackathon aimed at challenging participants' understanding and application of algorithmic principles was organized. The event brought together students, coders, and problem-solvers to engage in structured rounds that test their analytical thinking, coding ability, and creativity in algorithm design. It provided a platform to apply theoretical knowledge in practical problem-solving scenarios while fostering innovation, collaboration, and a spirit of healthy competition.

Cybersecurity Awareness for Common Citizens
Cyber Fraud Awareness Program under DOT’s Sanchar Saathi initiative, empowering senior citizens to stay safe online. The session highlighted digital security practices, fostering awareness and resilience against cyber threats through collaboration with NSS, India Telecom

Poster presentation on Indian Knowledge Systems
Encouraging students to creatively showcase traditional wisdom through modern perspectives. The event fostered innovation, cultural awareness, and academic excellence, highlighting the relevance of IKS in contemporary learning.

Antiragging Awareness for students
Anti‑Ragging Awareness Program to promote a safe, inclusive campus environment. The initiative educated students on legal provisions, ethical conduct, and mutual respect, reinforcing the institute’s commitment to zero tolerance against ragging and fostering harmony among peers.

Summer Internship
IEEE RAS Student Chapter at RNSIT organized a Summer Internship on Logic Design, equipping students with practical skills in digital circuits and system design. The program fostered innovation, teamwork, and career readiness through hands‑on learning and expert mentorship
Achievements of The Department



Gallery






Lush Green Campus with Top Placement Opportunities
Teaching Staff
Student Testimonials
Get In Touch
-
principal@rnsit.ac.in
-
080 28611880/
1/
2,+91 90359 60355
-
RNS Institute of Technology,
Dr. Vishnuvardhan Road
R R Nagar Post
Channasandra
Bengaluru -560 098
Send A Message


























































