AI and ML Courses After 12th: Best Programmes, Exams, Fees & Career Scope

Choosing AI/ML courses after 12th? You have just made the right decision. The world has changed a lot after the AI boom. Whether it’s the job market, businesses, or our day-to-day lives, AI is everywhere. Therefore, the traditional courses won’t land you a high-paying job.

Therefore, focusing on pursuing AI/ML courses or at least AI/ML integration in the course of your interest is a smart move. Let’s understand this with an example:

If you are interested in engineering or a similar programme, you can pursue a full-fledged degree in Artificial Intelligence and Machine Learning. However, if you are not into core tech but other fields like fashion designing, law, humanities, etc., you must ensure that your university gives AI/ML exposure in those curricula. This way, no matter what you study, you will be 100% job-ready.

Now, what do we have in this blog for you? This blog will walk you through everything about AI/ML courses, careers, universities, fees, admission process, etc. So, you must pay attention to every detail.

Why Study AI and Machine Learning After 12th?

Students who pursue AI/ML specialisations in their UG programmes are more likely to land a high-paying job. Why? Because such technologies have changed how businesses work. As a result, companies are hiring professionals who possess both core technical and modern AI skills.

However, apart from being "the need of the hour", AI/ML courses have some benefits as well, which are:

Future-Ready Career Opportunities

As mentioned above, companies across industries are no longer hiring for tech skills only. They are looking for individuals who are efficient in using AI with their tech skills to provide better results. Therefore, by pursuing AI/ML courses, students can gain skills that are relevant to the current job market and enjoy growth with stability.

High Demand Across Industries

Artificial Intelligence and Machine Learning are not just part of the tech field. They are in equal demand in industries like food, beauty, design, manufacturing, and more. It means students with relevant skills can explore jobs in almost every industry.

Strong Salary Growth

AI/ML are one of the fastest-growing spectrums. Therefore, having a full-fledged degree in this specialisation can empower students to secure high-paying packages.

Scope in India and Abroad

Technology knows no boundaries. As emerging technologies like Artificial Intelligence are being celebrated worldwide, students with proper training can secure expert roles in India as well as abroad.

Course Details

Before you enrol for AI/ML UG courses, you must be aware of certain things, such as duration, eligibility criteria, curricula, etc. This section holds information about the same.

Course Duration

The duration depends on the type of course you choose. The duration of B.Tech in Artificial Intelligence and Machine Learning is 4 years. On the other hand, the duration for B.Sc./BCA in Artificial Intelligence and Machine Learning is 3 years.

Eligibility Criteria

• B.Tech AI & ML: 55% in Class 12 with PCM
• B.Sc. AI & ML: 55% in Class 12 with PCM
• BCA AI & ML: 55% in Class 12
• B.Tech Computer Science and Medical Engineering with AI: 55% in Class 12 with PCB

Curriculum

The curriculum of your course will depend on the type of course you choose and the specialisation as well. For the detailed curriculum, please visit the official website of Sharda University.

Popular AI and ML Courses After 12th

• B.Tech CSE in AI & ML: Covers programming, machine learning, deep learning, neural networks, computer vision and intelligent systems.
• B.Tech CSE in AI and Data Science: Focuses on programming, data analytics, big data, predictive modelling, machine learning and data visualisation.
• B.Sc. in AI and ML: Builds a foundation in mathematics, statistics, Python, data analysis and applied machine learning.
• BCA in AI & ML: Combines computer applications, programming, databases, web technologies and basic AI and ML concepts.
• B.Tech Computer Science and Medical Engineering with AI: Covers computer science, medical technologies, healthcare data, diagnostics and AI-based healthcare applications.
• B.Tech ECE in Robotics and Automation: Focuses on electronics, embedded systems, sensors, robotics, control systems and industrial automation.
• Diploma or Certificate in AI & ML: Introduces Python, data handling, basic machine learning models and practical AI tools.

Entrance Exams

Based on your Artificial Intelligence and Machine Learning course type, you may have to appear for entrance exams. However, it is always recommended to cross-check with your shortlisted universities about the entrance exams accepted there.

For B.Tech AI/ML Courses

• JEE Main
• JEE Advanced
• BITSAT
• VITEEE
• SRMJEEE
• MET
• COMEDK UGET
• MHT CET
• WBJEE
• KCET
• University-specific entrance exams

For B.Sc. AI/ML Courses

• CUET UG
• University-specific entrance exams
• Merit-based admission through Class 12 marks

For BCA AI/ML Courses

• CUET UG
• University-specific entrance exams
• Merit-based admission through Class 12 marks

For Diploma or Certificate Courses

• Usually merit-based admission
• Some institutes may conduct aptitude tests or personal interviews

Top Colleges for AI and Machine Learning in India

• IIT Madras
• IIT Hyderabad
• IIT Kharagpur
• IIT Jodhpur
• IIIT Hyderabad
• Sharda University, Greater Noida
• Vellore Institute of Technology
• SRM Institute of Science and Technology
• Amity University, Noida
• Manipal Institute of Technology

Course Fees

The fees of your AI/ML course depend on the course type, university, location, additional facilities, etc. To get the exact data, visit the official portal of your shortlisted universities.

Average AI and ML Course Fees in India

• B.Tech CSE in AI & ML: ₹4 lakh to ₹18 lakh
• B.Tech CSE in AI and Data Science: ₹4 lakh to ₹18 lakh
• B.Sc. in AI & ML: ₹1.5 lakh to ₹5 lakh
• BCA in AI & ML: ₹1.5 lakh to ₹6 lakh
• B.Tech Computer Science and Medical Engineering with AI: ₹5 lakh to ₹18 lakh
• B.Tech ECE in Robotics and Automation: ₹4 lakh to ₹16 lakh
• Diploma in AI & ML: ₹1 lakh to ₹3 lakh
• Certificate Course in AI & ML: ₹5,000 to ₹1.5 lakh

Additional Charges

Apart from the tuition fees, you also have to bear the additional expenses of the following facilities:

• Admission or registration fee: ₹1,500–₹45,000 (one-time)
• Examination fee: ₹6,000–₹15,000 per year
• Security or caution deposit: ₹5,000–₹30,000 (usually refundable)
• Laboratory and technology charges: ₹5,000–₹25,000 per year
• Library and student activity fee: ₹3,000–₹10,000 per year
• Hostel and mess charges: ₹1.25 lakh–₹2.35 lakh per year, depending on room type and facilities
• Transportation fee: ₹25,000–₹60,000 per year
• Laptop and software expenses: ₹40,000–₹1 lakh
• Certifications and project expenses: ₹5,000–₹50,000

Admission Process

Step 1: Check the eligibility criteria
Review the required subjects, minimum marks and other course-specific conditions.

Step 2: Select the right course
Choose a B.Tech, B.Sc., BCA, diploma or certificate programme based on your eligibility and career goals.

Step 3: Apply for the relevant entrance exam
Register for JEE Main, CUET UG, state-level exams or university-specific entrance tests, if required.

Step 4: Fill out the application form
Apply to the selected college or university through its official admission portal.

Step 5: Submit the required documents
Upload Class 10 and 12 marksheets, identity proof, photographs and entrance exam scores.

Step 6: Appear for counselling or selection rounds
Participate in counselling, interviews or document verification, depending on the institution.

Step 7: Receive the admission offer
Selected students receive an offer letter or seat allotment confirmation.

Step 8: Pay the admission fee
Confirm the seat by paying the required fee within the given deadline.

Step 9: Complete enrolment
Finish document verification and other formalities to begin the programme.

Career Opportunities

To get a clear idea of the career opportunities as per the AI/ML course and the pay scale, refer to the table below:

Best Courses After Graduation in AI and ML

• M.Tech in Artificial Intelligence
• M.Tech in Artificial Intelligence and Machine Learning
• M.Tech in Data Science
• M.Tech in Computer Science and Engineering
• M.Sc. in Artificial Intelligence
• M.Sc. in Machine Learning
• M.Sc. in Data Science
• MCA in Artificial Intelligence and Machine Learning
• MBA in Business Analytics
• MBA in Artificial Intelligence and Data Analytics
• PG Diploma in AI and Machine Learning
• PG Diploma in Data Science and Analytics
• M.Tech in Robotics and Automation
• M.Tech in Biomedical Engineering or Healthcare Technology
• PhD in Artificial Intelligence, Machine Learning or Data Science

Why Choose Sharda University for AI and ML?

If we talk about universities that are using the rise of AI/ML in its true sense, Sharda University ranks at the top. Here's why:

AI-enabled and industry-aligned curriculum

At Sharda, students don't have to go for specific AI/ML courses to secure their careers. Whether it's humanities, law, design or engineering, the curricula integrate industry-relevant AI practices, enabling students to secure high-paying jobs without having to sacrifice their interests.

Hands-on learning with advanced AI and ML tools

Students are offered hands-on training in top AI and ML tools along with core technical and soft skills. This way, students come out as stronger candidates for the competitive job market.

Real-world projects and practical industry exposure

At Sharda, things don't just end with learning. Students are also involved in real-industry projects, which strengthens their resumes.

Placement opportunities with 1137+ companies

Students here complete their degrees with a job. The university has a wide placement network of 1137+ companies, which includes 150+ MNCs and 50+ Fortune 500 companies.

Frequently Asked Questions

Which course is best for AI and ML after 12th?

The best AI/ML course is the one that includes the latest AI trends, practical learning and also suits your interest levels. However, if you are asking for the course connected to the fastest growing and hence the current highest paying industry, it would be B.Tech CSE in AI/ML.

Is Maths compulsory for AI and ML courses?

If you are enrolling for B.Tech or B.Sc. courses, maths is compulsory.

Can commerce or arts students study AI and ML after 12th?

Yes, commerce or arts students can study BCA in AI/ML after 12th.

Are AI and ML difficult for beginners?

No, with the right guidance, mentors and exposure, AI/ML courses become enjoyable.

Can AI and ML students work in non-tech industries?

Yes, as AI/ML are not restricted to a specific industry, graduates in this specialisation can work in non-tech industries as well.