B.Tech. (Artificial Intelligence & Machine Learning)

The B.Tech. in Artificial Intelligence and Machine Learning (AI & ML) at SRKREC, established in 2021 under the Department of Computer Science and Engineering, has grown from an initial intake of 60 to 240 students due to its increasing popularity and industry relevance. The program curriculum is designed to prepare students for a world where AI is integral to everyday life, blending strong theoretical knowledge with industry-relevant practical experience.

Faculty members, with expertise in areas like Machine Learning, Deep Learning, Computer Vision, NLP, Reinforcement Learning, MLOps, and Generative AI, guide students through advanced concepts and help them build a strong foundation in these fields. The program features modern labs, ICT-enabled classrooms, and ample opportunities for internships at prestigious institutions like IITs and NITs. Regular seminars by industry experts and a focus on research and publication enhance the academic experience. Students are encouraged to participate in clubs like the ACE, Coding Club, , ISTE, and NSS, fostering leadership, teamwork, and social responsibility. Entrepreneurship is actively promoted through hackathons, innovation challenges, and mentorship for startups. Graduates of the program have been successfully placed in top companies like TCS, Infosys, and Deloitte, while excelling in competitive exams like GATE, GRE, and TOEFL. The department’s student-centric, inclusive environment equips graduates for global careers and higher education.

Career Opportunities

• ML Engineer
• Data Scientist & Data Engineer
• Business Intelligence (BI) Analyst
• AI Engineer
• AI Research Scientist
• Natural Language Processing (NLP) Specialist
• Computer Vision Engineer
• AI Product Manager
• Software Developer / Software Engineer
• DevOps Engineer

Core Courses Covered

• Linear Algebra
• Probability and Statistics
• Core Computer Science Courses
• Artificial Intelligence
• Machine Learning
• Big Data Analytics & Data Visualization
• Deep Learning
• Cloud Computing
• Internet of Things (IoT)
• Natural Language Processing
• Computer Vision
• Generative AI & Prompt Engineering
• Ethical and Responsible AI
• DevOps