B.Tech Artificial Intelligence and Machine Learning
Welcome to the heart of groundbreaking technological
education at Universal SkillTech University School of
Science, Engineering and Technology Skills. As a beacon of
innovation, this school is dedicated to nurturing future
leaders and problem solvers in the ever evolving realms of
science and engineering. Our programs are designed to
not only equip students with theoretical knowledge but also
provide hands on experiences, ensuring they are at the
forefront of technological advancements.
Under the guidance of distinguished faculty members who are experts in their respective fields, students within the School of Science, Engineering and Technology Skills embark on a journey of discovery and exploration. The state-of-the-art laboratories, research facilities and collaborative spaces create an immersive learning environment, fostering a culture of curiosity and innovation.
From Artificial Intelligence and Machine Learning to Cyber Security & Forensics, the School of Science, Engineering and Technology Skills is the launchpad for those ready to shape the future of technology
- Graduates can pursue roles as AI/ML engineers, working on the development of intelligent systems, algorithms and machine learning models.
- Opportunities exist in diverse industries, including healthcare, finance and technology, for creating innovative solutions and automation.
- Specialization prepares students for research and development in emerging AI technologies, contributing to advancements in the field
- Graduates should demonstrate a comprehensive understanding of fundamental concepts, theories, algorithms, and methodologies in artificial intelligence and machine learning.
- Graduates should be able to identify, formulate, and solve complex problems using AI and ML techniques. This includes proficiency in algorithm design, data analysis, and optimization methods.
- Graduates should possess effective teamwork and communication skills, enabling them to collaborate with multidisciplinary teams and communicate technical concepts to diverse audiences.
- Graduates should be capable of planning, executing, and managing AI and ML projects effectively.