B.Tech in Computer Science and Engineering
8 Semesters
B.Tech in Artificial Intelligence & Machine Learning
Course Description
Unlock your potential in Artificial Intelligence and Machine Learning with a B.Tech. degree at Srinivas University. Our industry-focused curriculum emphasizes practical skills, innovation, and emerging technologies. Choose from a range of electives and gain specialized knowledge in deep learning, computer vision, robotics, and more. Join us in shaping the future of AI and Machine Learning at Srinivas University Institute of Engineering & Technology, Mukka.
Join us in shaping the future of Artificial Intelligence with Srinivas University Institute of Engineering & Technology, Mukka.
Special Features of the Course
- Our curriculum is designed to meet the demands of the industry, focusing on practical skills and real-world applications of AI and Machine Learning.
- Choose from a wide range of elective subjects to specialize in areas such as deep learning, computer vision, robotics, natural language processing, and data mining.
- Stay updated with the latest advancements in AI and Machine Learning and explore emerging technologies to stay ahead in this rapidly evolving field.
- E-Study material will be provided from the college for every subject according to the syllabus.
- Industry oriented syllabus with special focus on experimental learning.
- Mini projects that help students implement the theoretical knowledge gained into practical applications which gives a better understanding of the subject.
- Innovations in examination system with opportunity for personal seeing of evaluated papers.
- Make-up exams in every semester to avoid year loss.
- Placement support and research oriented projects for every student.
- Emphasis on hands-on learning ensures that students gain practical experience through projects, workshops, and industry collaborations.
- Opportunity for internships and industrial visits.
- Tie up with industries to get students trained in latest technology through industry sessions/ workshops.
- Encouraging research and innovation allows students to explore new ideas, contribute to the field, and develop groundbreaking solutions.
- Learn from experienced faculty members who are experts in the field of Artificial Intelligence and Machine Learning, providing guidance and mentorship throughout the program.
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Data Scientist
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Machine Learning Engineer
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AI Research Scientist
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Robotics Engineer
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Natural Language Processing (NLP) Engineer
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Computer Vision Engineer
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AI Consultant
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AI Ethics Specialist
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Further Opportunity to pursue M.Tech
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Opportunity to appear for GATE/Engineering Services and other competitive Exams
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Opportunities for Innovation driven Entrepreneurship
Detailed Overview
The B.Tech. in Artificial Intelligence and Machine Learning program is designed to nurture and develop students as aspiring global engineers in the rapidly evolving field of AI and ML. This four-year graduate program aims to equip students with the necessary knowledge, skills, and attitude to excel as competent global business leaders and entrepreneurs in the dynamic realm of artificial intelligence. With a strong focus on technical proficiency and a sense of responsibility towards the community, the program prepares students to become valuable contributors to the technological sector, driving innovation and shaping the future of AI and ML.
Duration:4 years/8 semesters (Admissions open for the batch 2023-24)
Eligibility:Pass in 10+2/12th Standard with a minimum of 50% marks (40% for candidates belonging to SC/ST category)
Lateral Entry:Candidates who have successfully completed a three-year diploma in Engineering can apply for lateral entry into the second year of the B.Tech. program. Admission to the second year is subject to the Srinivas University selection process for engineering programs.
SUIET Curriculum
Download the Latest SUIET AIML Curriculum with one click- Duration4 Years
- Semesters8
- Total Lectures (Hrs)2,880
- Credits192
- Industry VisitsIncluded
- Soft SkillsIncluded
- CertificationIncluded
Total Marks4800- DepartmentAIML
- HoD--
- BroucherDownload
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