BTech in Artificial Intelligence & Machine Learning 2024: Admission Process, Eligibility, Entrance Exam

Arun Kumar

Senior Content Specialist | Updated On - Jan 21, 2024

The Bachelor of Technology in Artificial Intelligence and Machine Learning (B.Tech) software is an advanced graduate degree that equips students with a comprehensive understanding of superior technology. This specialised path integrates theoretical expertise with realistic capabilities to foster know-how inside the rapidly growing fields of artificial intelligence (AI) and machine studying (ML) Students delve into middle topics consisting of algorithms, records technology, neural networks, and herbal language processing.

The path emphasizes practical experience thru realistic initiatives and enterprise-applicable case studies. Students grasp programming languages ​​such as Python, R, and Java, in addition to gear and frameworks commonly used in AI and ML programs. The application includes ethical considerations and the social implications of AI, making ready graduates to address ethical challenges in this dynamic field.

BTech Artificial Intelligence and Machine Learning Admission Process

BTech Artificial Intelligence and Machine Learning Course Eligibility

1. Educational Qualifications:

   • Candidates must have completed their 10+2 training with a sturdy foundation in arithmetic and science.
   • The common requirement is to have studied Physics, Chemistry, and Mathematics as middle subjects at some point of the 10+2 or equivalent stage.

2. Minimum Percentage:

   • Many institutions have a minimum percent requirement for the qualifying exam. This percentage requirement can range, however it's far often set around 50-60%.

3. Entrance Examinations:

   • Some institutes may also conduct entrance examinations for admission to their B.Tech applications. Popular entrance tests in India consist of JEE (Joint Entrance Examination) or state-stage engineering entrance exams.

4. Age Limit:

   • There is usually no precise age restriction for B.Tech packages, but applicants are commonly required to be inside a positive age variety.

5. Nationality:

   • Candidates may additionally want to be residents of the respective us of a wherein the group is positioned. International students can also have extra requirements, consisting of qualifying in front assessments or meeting unique eligibility criteria.

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BTech Artificial Intelligence and Machine Learning Entrance Exams

1. Joint Entrance Examination (JEE) Main: JEE Main is a national-degree front exam in India for admission to various engineering applications, including B.Tech in Artificial Intelligence & Machine Learning. Conducted by way of the National Testing Agency (NTA), it evaluates candidates' understanding of physics, chemistry, and mathematics. The exam includes two papers – Paper 1 for B.E./B.Tech admissions and Paper 2 for B.Arch and B.Planning. JEE Main is a essential step for admission to prestigious engineering institutes like the Indian Institutes of Technology (IITs) and the National Institutes of Technology (NITs).

2. BITSAT (Birla Institute of Technology and Science Admission Test): BITSAT is carried out with the aid of Birla Institute of Technology and Science (BITS) for admission to its various campuses, presenting packages like B.Tech in Artificial Intelligence & Machine Learning. The pc-based check assesses applicants' skillability in physics, chemistry, arithmetic, logical reasoning, and English proficiency. Scoring well in BITSAT opens doors to one of the finest engineering institutes in India.

3. State-Level Engineering Entrance Exams: Many states in India conduct their very own engineering entrance assessments for admission to B.Tech programs. Examples consist of MH CET (Maharashtra Common Entrance Test), AP EAMCET (Andhra Pradesh Engineering, Agriculture, and Medical Common Entrance Test), and others. These checks are specific to each kingdom and function a gateway to engineering schools inside that nation.

4. VITEEE (VIT Engineering Entrance Examination): VITEEE is carried out by using Vellore Institute of Technology for admission to its B.Tech packages, which includes specializations like Artificial Intelligence & Machine Learning. The examination evaluates applicants' information in physics, chemistry, arithmetic/biology, English, and flair. A excellent rating in VITEEE paves the manner for admission to VIT, a reputed non-public university in India.

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BTech Artificial Intelligence and Machine Learning Syllabus 2024

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BTech Artificial Intelligence and Machine Learning Admission 2024

1. Meet Eligibility Criteria: Ensure that you meet the eligibility criteria set by means of the group. This generally includes finishing 10+2 schooling with a strong history in mathematics and science.

2. Appear for Entrance Exams: Many institutions require candidates to take entrance exams. Popular tests include JEE Main, BITSAT, and nation-stage engineering front exams. Perform properly in these tests as they play a critical role in the choice process.

3. Application Submission: Complete and put up the application form supplied by the respective group. This regularly consists of offering private info, academic information, and scores from qualifying checks.

4. Merit-Based Selection: Institutions regularly have a benefit-based selection manner, thinking about the overall performance in entrance checks, academic achievements, and occasionally an interview or counseling session.

5. Counseling/Interview (if relevant): Some establishments behavior counseling classes or interviews to assess candidates' suitability for the program. This step may also contain discussing educational achievements, profession desires, and interest in Artificial Intelligence & Machine Learning.

6. Document Verification: Shortlisted applicants are required to submit essential documents for verification. These files may also include 10+2 certificates, entrance exam scorecards, identity evidence, and others.

7. Payment of Fees: Once selected, candidates want to pay the admission costs in the certain time to stable their seat in the program.

8. Commencement of Classes: After finishing the admission system, college students can begin their B.Tech software in Artificial Intelligence & Machine Learning.

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