Shivalik is a new-age institution reimagining technology education in India.
Shivalik is a new-age institution reimagining technology education in India.
Best AI ML College in Dehradun
Join the future of technology with our comprehensive B.Tech AI ML program. Learn cutting-edge AI technologies, work on real-world projects, and build intelligent systems that transform industries.
Comprehensive framework defining the educational goals, expected competencies, and specialized outcomes for B.Tech AI & ML graduates.
Program Outcomes define what students are expected to know and be able to do by the time of graduation.
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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.
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.
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.
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.
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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.
Program Specific Outcomes articulate what students should be able to do specifically in AI & ML Engineering.
Apply AI & ML models, frameworks, and data-driven techniques to design intelligent systems that meet industry and societal needs.
Develop and deploy AI-based applications using open-source and cloud-based tools for automation, prediction, and decision-making.
Program Educational Objectives define the expected accomplishments of graduates during the first few years after graduation.
Graduates will achieve successful careers in industries, academia, research organizations, or as AI-driven entrepreneurs.
Graduates will apply AI & ML algorithms, tools, and emerging technologies to develop innovative and sustainable solutions.
Graduates will demonstrate expertise in designing, developing, and deploying intelligent systems for solving complex real-world problems.
Graduates will exhibit strong communication, leadership, teamwork, and ethical decision-making in professional practice.
These Program Outcomes, Program Educational Objectives, and Program Specific Outcomes are aligned with the National Board of Accreditation (NBA) criteria and are designed to ensure that our graduates meet the highest standards of engineering education and professional practice.