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Arificial intelligence & machine learning 

Overview – An Academic Perspective

AI refers to machines imitating human intelligence, while ML focuses on teaching machines to perform tasks and deliver accurate results by identifying patterns. Together, these technologies provide a solid foundation for building a successful career in various industries by understanding real-world applications such as OLA, chat bots, and e-payments. The need for skilled AI & ML professionals spans nearly every industry, including financial services, healthcare, agriculture, media and marketing, government and military, national security,  IoT-enabled systems,  agriculture, gaming and retail. Apart from working as software engineers and researchers, AI & ML engineers have varied career opportunities as in big data analyst, user experience designer, natural language processing engineers. Top MNCs like Amazon Web Services, Apple, Microsoft, and others actively recruit AI and ML professionals.

Apart from having a strong knowledge of applied mathematics and algorithms and good problem-solving abilities, the essential skills for AI & ML engineers include industry-specific knowledge, machine learning concepts and techniques.

Pursuing AI and ML offers a promising career path with opportunities in cutting-edge industries and roles.

ABOUT THE DEPARTMENT

The institute, along with the department’s dedicated faculty, non-teaching staff, infrastructure, and facilities, is committed to preparing students for successful careers. By providing comprehensive knowledge and skills in Artificial Intelligence, Machine Learning, and related fields, we strive to empower students to excel in their professional journeys.

DR. Ajeet A C
Prof. & Head

A Message From

HOD

The world is undergoing a significant transformation driven by the rise of intelligent and autonomous systems, reflecting the evolving demands of real-world scenarios. To meet these challenges, our institute is committed to producing skilled professionals in Artificial Intelligence and Machine Learning (AIML).

In 2022, we launched a four-year B.E. program in AIML, offering 60 seats. The program follows the syllabus set by Visvesvaraya Technological University (VTU), Belagavi, and is further enriched with additional skills, knowledge, and resources provided by the institution. This program emphasizes core AIML subjects and integrates multidisciplinary activities to foster holistic development, enhancing students’ knowledge, skills, and professional ethics.

Our infrastructure, facilities and team of  faculty and non-teaching staff, are dedicated to ensuring that our students are well-equipped with the knowledge and expertise required to excel in competitive environments and build rewarding careers in this rapidly growing field.

TEACHING LEARNING PROCESS

At the Department, our teaching and learning process is designed to provide students with a robust foundation in the curriculum while fostering critical thinking and practical skills. 

An overview:

  • Curriculum: Our curriculum is thoughtfully structured to cover fundamental concepts in the subjects while offering flexibility for specialization in various disciplines. We integrate theoretical knowledge with hands-on laboratory experience to provide holistic education
  • Interactive Classes: Our classes are conducted in an interactive and engaging manner, fostering active participation and open discussions. We believe in creating a dynamic learning environment where students can ask questions, explore ideas, and challenge conventional thinking.
  • Laboratory Work: Laboratory work is an integral part of our teaching process. It allows students to apply theoretical knowledge in practical experiments, enhancing their problem-solving and analytical skills.
  • Mentorship: Our faculty members are not just educators but mentors who are accessible to students for academic and career guidance. We believe in nurturing talent and helping students reach their full potential.
  • Assessment: We have a rigorous assessment system in place to evaluate student progress and ensure that learning outcomes are met. Feedback is provided to help students continuously improve.

At the Department, we are committed to preparing our students for successful careers in academia, industry, and research. Our teaching and learning process is designed to inspire a lifelong passion for the subject and a commitment to scientific excellence.

VISION & MISSION

VISION

Our vision is our commitment to becoming a leading hub for education and research in Artificial Intelligence and Machine Learning. By focusing on professional competence, social responsibility, and global adaptability, the goal is to prepare engineers who can drive innovation and contribute meaningfully to society.

MISSION

  1. To establish an environment that has the necessary infrastructure and human resources to impart domain knowledge meticulously.
  2. To implement experiential learning so that capable and industry ready students are produced every year.
  3. To groom students from the perspective of innovation and leadership.
  4. Instill values of professional ethics, social responsibility, environment concern and lifelong learning.

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