B.E in AIML Engineering
Vision
To enrich the academic acumen in the field of artificial intelligence and machine learning coupled with providing sustainable solutions to global challenges.
Mission
M1: Adhere to Indian pedagogy of Guru Shishya Parambara in modern technological endeavors
M2: Design and develop adequate infrastructure for patentable technologies resulting in useful products
M3: Equip the students in fulfilling duty of serving the nation by ensuring self-reliance in technological prowess
About the Department
Best/Top AI and ML Engineering Colleges In Bangalore, The Department of Artificial Intelligence and Machine Learning is a fairly new addition to the Cambridge Institute of Technology. With the boom in demand for artificial intelligence, reports suggest that the global Artificial Intelligence market size is expected to grow at a compound annual growth rate of 42.2 per cent from 2020 to 2027. The primary reason for this is the increasing adoption of advanced technologies of AI and ML across industry verticals including healthcare, automotive, retail, finance and manufacturing.
The Department aligns its Vision to that of the overarching goal of the Cambridge Institute of Technology in preparing students for the industry by going beyond textbook knowledge. During the course, students are provided opportunities at experiential learning, industry visits to understand real-life work demands, etc. The Department, through its associations with the industry, also organizes special lectures, workshops and seminars on the latest technologies by industry experts.
With the growth in demand for such advanced technologies, the demand for skilled professionals is nothing but obvious. Cambridge Institute of Technology, in line with the projection, has instituted the Department of Artificial Intelligence and Machine Learning in 2020. Our faculty, led by Dr. D. Antony Louis Piriyakumar, comprises experienced educators who have been a valuable part of the academia and the industry.
During their journey towards certification, our students are provided rigorous training in Machine Learning, Neural networks, Computer Vision, Evolutionary Computing, Natural Language Processing, Robotics, Expert Systems, etc. We provide hands-on training to our students coupled with industry exposure.
The Department aligns its Vision to that of the overarching goal of the Cambridge Institute of Technology in preparing students for the industry by going beyond textbook knowledge. During the course, students are provided opportunities at experiential learning, industry visits to understand real-life work demands, etc. The Department, through its associations with the industry, also organizes special lectures, workshops and seminars on the latest technologies by industry experts.
HoD's Message
Dr.Varalatchoumy M,
Professor, HoD of AIML department
hod.aiml@cambridge.edu.in
Artificial Intelligence and Machine Learning are at the forefront of technological advancement, and we are dedicated to leading the way in these fields. Our department is committed to excellence in education, research, and real-world applications. We are committed to nurturing the next generation of AI and ML experts. Our comprehensive educational programs provide students with the knowledge and skills they need to excel in this rapidly evolving field.
Research is the heart of our department. Our faculty and researchers are pushing the boundaries of what is possible in AI and ML. We are dedicated to finding practical solutions to some of the world’s most pressing challenges. Our partnerships with industry, government, and the community at large ensure that our work extends beyond the laboratory and into the real world.
We welcome you to the Department of Artificial Intelligence and Machine Learning. Together, we can continue to shape the future of AI & ML
PEO's
Program Educational Objectives
PEO1: To provide our graduates with a strong foundation in mathematics, programming, scientific and engineering fundamentals necessary to formulate, analyze and solve IT related engineering problems, and to prepare them for higher learning, R&D and consultancy.
PEO2: To develop an ability to analyze the requirements and technical specifications of software to articulate novel engineering solutions for an efficient product design.
PEO3: To provide exposure to the emerging technologies, and to provide relevant training to work as teams on multidisciplinary projects which in turn may develop communication skills and leadership qualities.
PEO4: To prepare our graduates to pursue professional career adopting work values with a social concern to bridge the digital divide, while meeting the requirements of Indian and multinational companies, and
PEO5: To make our graduates aware of the efficacy of life-long learning, professional ethics and practices, so that they may become global professionals.
PO's
Program Outcomes
- 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 team work: 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.
PSO's
Program Specific Outcomes
PSO1: To use the knowledge of algorithms and programming skills to build, test and maintain software systems.
PSO2: To have a comprehensive knowledge of architecture and organization of Multi-Core processor, System software, and Compiler Design and Embedded systems.
PSO3: To design and build systems, catering the needs of industry and society with the knowhow of network system and cryptography to solve related security issues.
