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AI Courses Eligibility in India (2026): Marks, Subjects and Entrance Exams for Every Level

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AI Courses Eligibility in India (2026): Marks, Subjects and Entrance Exams for Every Level

Student checking AI course eligibility checklist on clipboard, with robot assistant and India map showing education growth.

Table of Contents

This guide covers the eligibility criteria, marks, subject requirements and entrance exams for different types of AI courses in India in 2026.

Also Read: Artificial Intelligence Degree Courses in India

Undergraduate AI Courses: Eligibility, Marks and Subjects

If you want to start studying Artificial Intelligence after Class 12, there are several undergraduate routes to choose from. B.Tech programs are generally more focused on engineering and technical skills, while BCA and B.Sc. programs offer other pathways into AI and related fields.

The eligibility requirements also differ across these courses. The table below compares the common undergraduate AI programs based on the minimum marks, subjects and entrance exams you may need.

Course Eligibility Minimum Marks Required Subjects Entrance Exam
B.Tech in Artificial Intelligence Class 12 from a recognised board 50%-60% PCM JEE Main / JEE Advanced / University-level entrance 
B.Tech in AI & Machine Learning Class 12 from a recognised board 50%-60% PCM JEE Main / state or University-level entrance 
B.Tech in AI & Data Science Class 12 from a recognised board 50%-60% PCM JEE Main / state or University-level entrance 
BCA in AI & Machine Learning Class 12 from a recognised board 50%-60% Mathematics / Computer Science / IT CUET / University-level selection 
B.Sc. in Artificial Intelligence Class 12 from a recognised board 50%-60% Mathematics / relevant science or computer subject CUET / University-level selection 
B.Sc. in AI & Machine Learning Class 12 from a recognised board 50%-60% Mathematics / relevant science or computer subject CUET / University-level selection

Eligibility, marks and entrance requirements can vary by university. Check the specific program requirements before applying.

Diploma AI Courses 

program Level & Duration Eligibility Minimum Marks Required Subjects Admission
Polytechnic Diploma in AI/ML (AICTE-approved) After Class 10 (3 years) Class 10 pass Usually 35%; up to 50% at some institutes Maths & Science (preferred or required) State-level entrance or merit-based counselling
Diploma in AI / AI & ML (institute-level) After Class 12 (duration varies) Class 12 pass Varies by institute Varies; Maths or Science often preferred Merit / institute-level selection

Eligibility and admission requirements vary by state and institution. Check the specific institute’s guidelines before applying.

AI Certification Courses: Who Can Apply

AI certifications offer a flexible way to build specialized skills without committing to a full degree or diploma. The eligibility can range from no formal academic requirement for open courses to a bachelor’s degree or work experience for some university and IIT-linked programs.

The table below compares the common eligibility requirements for both types of AI certifications.

Type Typical Duration Eligibility Minimum Marks Required Subjects Admission
Open / platform certificates (AI, ML, Generative AI) A few weeks to 6 months Open to Class 12 students, graduates and professionals No fixed requirement Basic programming or maths may be recommended Direct enrolment
University / IIT-linked certificates (AI, ML, Data Science) 6 to 11 months Bachelor’s degree; some programs may require 1–2 years of work experience Often 50% in graduation Maths or programming background may be preferred Application and screening

Also Read: Best AI Colleges in India

Common AI Course Eligibility Mistakes to Avoid

Before applying for an AI course, make sure you check more than just the minimum percentage.

  • Ignoring subject requirements: Some programs require Mathematics, Physics or other specific subjects.
  • Assuming eligibility is the same everywhere: Requirements can differ between universities and programs.
  • Overlooking entrance exams: Some courses require JEE Main, CUET or university-level entrance exams.
  • Confusing course levels: A B.Tech, diploma and certification can have very different eligibility requirements.
  • Checking outdated information: Admission criteria can change each year, so always check the latest requirements before applying.

Also Read: AI Course Duration in India

Related Articles

Compare programs on OLRight: see AI programs with fees, duration and outcomes side by side.

Talk to a GradRight counselor free: get personalised guidance on choosing the right program for your goals and budget.

Compare education loans: check EMI and funding options before you enroll.

 

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Frequently Asked Questions

What are the eligibility requirements for AI courses after Class 12?

Most undergraduate AI courses require Class 12 from a recognised board. B.Tech programs generally require PCM, while BCA and B.Sc. requirements can vary by program.

Can I pursue an AI course without studying Mathematics in Class 12?

It depends on the course. Many B.Tech AI programs require Mathematics, while some BCA and certification programs may have more flexible subject requirements.

Which entrance exams are required for AI courses?

The entrance exam depends on the program and institution. B.Tech admissions may accept JEE Main, JEE Advanced, state-level or university-level exams, while some BCA and B.Sc. programs may use CUET or merit-based admission.

Can I pursue an AI certification without a technical background?

Yes. Many beginner-level AI and Generative AI certifications do not require a technical degree or specific academic background. Some advanced programs may require prior knowledge of mathematics, programming or a relevant degree.

Can I pursue an AI course after graduation?

Yes. Graduates can consider postgraduate programs, advanced certifications and specialized courses in AI, Machine Learning, Data Science and related fields, depending on their academic background.

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