BE (Artificial Intelligence and Machine Learning Engineering)
Transform your understanding of AI and ML engineering with our BE program. Emphasizing hands-on training, research, and innovation.
Course Overview
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BE (Artificial Intelligence and Machine Learning Engineering)
B.E. in Artificial Intelligence and Machine Learning Engineering is a specialized undergraduate program that focuses on the design, development, and implementation of intelligent systems and algorithms. Students learn about artificial intelligence, machine learning, data analytics, robotics, natural language processing, and other related fields to prepare for careers in AI and ML engineering.
Artificial Intelligence and Machine Learning Engineering
Artificial Intelligence and Machine Learning Engineering refers to the specialized field of engineering that focuses on developing, implementing, and maintaining artificial intelligence and machine learning systems. Professionals in this field work on designing algorithms, models, and systems that enable machines to learn from data, make decisions, and perform tasks that typically require human intelligence.
Eligibility Criteria for BE (Artificial Intelligence and Machine Learning Engineering) in India
Educational Qualifications: Candidates must have completed 10+2 education with Physics, Chemistry, and Mathematics as core subjects.
Minimum Marks: Typically, a minimum aggregate of 50-60% marks in the qualifying examination is required.
Entrance Exams: Admission may be based on national or state-level entrance exams like JEE Main, BITSAT, or state-specific engineering entrance exams.
Merit-Based Selection: Some institutes may also offer admission based on merit in the qualifying examination.
Age Limit: Generally, there is no specific age limit for BE admissions, but candidates should meet the age criteria set by the respective universities/colleges.
Nationality: Indian nationality is usually required for admission to BE programs in India.
Specific Requirements: Some colleges may have specific requirements such as prior knowledge of programming languages, relevant work experience, or specific certifications.
Note: It is important to check the specific eligibility criteria of the desired institute as requirements may vary.