Shridevi Institute of Engineering and Technology

Admissions For All UG & PG Courses (2025-26) Management Seats Is Now Open • CET CODE – E-130, PGCET: MBA – B282, M.Tech – T872, MCA - (C603)

DEPARTMENT OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

The dedication and motivation in carrying out high level projects successfully by Artificial Intelligence and Data Science Engineering students has helped in evolving a new branch Artificial Intelligence and Machine Learning. This branch as come into existence in the year 2024. Correctly, the department is functioning with an intake of 60. Our group of faculty members have the necessary skills and expertise to train and mould the energetic students and not only make them engineers but people who are in high demand for not only industries but also doing consultancy projects.

OUR VISION

To enable students to become job providers and not just remain as job seekers.

OUR MISSION

• To train the studentsb in the usage of the most recently developed tools.
• To provide a platform for the students in getting trained in GenAI tools.
• To impart the ability to students in tackling complex scientific problems.
• To formulate activities encoraging team work.
• To explore each and every tool used for machine learning and provide intuitive skills to students in generating new tools.

The Artificial Intelligence and Machine Learning (AI & ML) program is designed to equip students with the skills and knowledge needed to develop intelligent systems and address complex, real-world challenges. This course covers key areas such as data science, deep learning, natural language processing, robotics, and computer vision, blending theoretical foundations with hands-on experience in cutting-edge tools and technologies. Students gain insights into ethical AI practices and innovative problem-solving approaches, preparing them for diverse career opportunities in research, software development, and data analytics. With a focus on fostering creativity and technical excellence, this program positions graduates to thrive in the rapidly evolving field of AI and ML.

Graduates of the Artificial Intelligence and Machine Learning (AI & ML) program have access to diverse career opportunities across industries such as healthcare, finance, automotive, e-commerce, and education. They can pursue roles like AI Engineer, Machine Learning Specialist, Data Scientist, and Robotics Engineer, working on projects like developing predictive models, designing intelligent systems, and advancing autonomous technologies. The program also prepares graduates for research and innovation roles in areas such as ethical AI and neural networks, equipping them to thrive in the growing field of AI-driven solutions.

➊ Cutting-edge Curriculum: Artificial Intelligence (AI) and Machine Learning program offers a  curriculum covering machine learning, deep learning, natural language processing, computer vision and data analytics. It provides students with a strong foundation in AI technologies.

➋ Hands-on Learning: Emphasis is placed on practical learning through projects, case studies and internships, allowing students to apply theoretical concepts to real-world datasets and industry scenario.

➌ Industry-Relevant Skills: Program focuses on developing skills in programming, statistical analysis, data visualization and algorithm development, ensuring graduates are well-equipped for careers in domains involving formulation of Algorithms like Health care and Business.

➍ Research Opportunities: Opportunities for involvement in research projects enable students to explore advanced topics in AI and data science, contributing to innovations in areas such as predictive modeling, optimization and machine learning algorithms.

➎ Industry Partnerships: Encourage collabaration with various software industries for providing students with an industrial perspective.

➏ Ethical Considerations: Programs address ethical and societal implications of AI and Machine Learning emphasizing the fact that machine replicates the performance aspects of human being.

➐ Multidisciplinary Approach: AI and Machine Learning program encouragse interdisciplinary collaboration with fields like computer science, mathematics, psychology and business, enabling students for tackling complex problems from diverse perspectives.

➑ Professional Development:Workshops and Seminars help students develop essential skills in communication, teamwork, and project management. Students are made industry-ready.