Artificial Intelligence & Machine Learning

Artificial Intelligence and Machine Learning is the technology at the fore front of developing intelligent solutions to real life problems. The main objective of offering this program is developing professionals who are skilled in the area of Al&ML. This program enables students to gain in-depth understanding of fundamental subjects in computer science and deals with Al technologies. This course is designed for both academic and skill based education to
create a right career for the students.

Artificial intelligence and machine learning play a big role with every IT company wanting to adopt Al &ML in there system. Al&ML course aims at bringing in software that can include speech recognization, problem solving, learning & planning that can aid or even replace human engagement in a process.
Al is everywhere around us-from gaming stations to smart phones, drones, automatic tractors, robots, self driving cars, security cameras, diagnostic tools in hospitals etc. It is used in warehouse management, supply chain management, momentary and stock management, face recognition, biometric system, E-commerce, smart phones also as a virtual assistance (Alexa, Siri, Google assistant). Thus Al impacts our life on a daily basis.
Al&ML is now one of the fastest growing and the most sought disciplined in both industry and academics. Most of the IT companies like Microsoft, Google, Amazon, Tesla, NVIDIA & many more have adapted to this concept in there system.

Artificial Intelligence software, by the leading artificial intelligence companies is a fast growing market with in computer science that focuses on creating and providing intelligent-problem solving solution.Al is been used in many real time applications. It enhances the intelligence of the services we use on a daily basis.

"Studying Artificial Intelligence and Machine Learning promises a bright career"

Prof. Vasanthamma

Associate Professor & HOD
Department of Computer Science & Engineering

Program Details

Duration: 4 Years (8 Semesters)
Affiliation: VTU, Balagavi
Approval Body: UGC
Admission Test: PGCET

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“To become a center of excellence in providing technical education in the field of Computer Science & Engineering to produce globally competent and socially responsible engineering Graduates”.

To provide theoretical foundation and practical training to the students in the areas related to computing with the exposure of latest tools and technologies.
To establish a continuous industry-institute interaction, participation and collaboration to contribute skilled competent engineers.
To build human values, social values, entrepreneurship skills and professional ethics among the IT technocrats.
To focus on innovation and development of technologies by engaging in research areas.

PEO1: Analyze and solve real time computer science and engineering problems through fundamental knowledge of mathematics, science, engineering and technology.

PEO2: Pursue a successful career in the field of computer science & engineering by contributing to the profession as an excellent employee, or or as an entrepreneur.

PEO3: Exhibit the ethical values, communication, teamwork skills, ability for lifelong learning to address computer engineering and societal issues.

The graduates will be able to:

PSO1: Understand, Design, implement and test algorithms/programs for the development of different computer based systems.

PSO2: Acquire and apply Hardware and Software architectures and tools to build real world applications.

PSO3: Adopt and incorporate the changing technologies for creating innovative career paths to be an entrepreneur and desire for higher studies.

Engineering Graduates will be able to:

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering
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
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
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
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
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
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary
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
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
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