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Best AI Courses After 12th for a Successful Career in 2025

Best AI Courses After 12th for a Successful Career in 2025

Introduction

The demand for artificial intelligence (AI) grows throughout various sectors, and the need for professionals who are experts in the field is on the rise as well. For students who recently completed 12th grade, selecting the best AI course is crucial for their career choices. With the myriad of options to choose from, it's essential to pick a course that is in line with your passions and goals for your career. In this article, we'll look at some of the most effective AI classes that students could look into after completing the 12th grade to begin their exploration into the realm of AI.

Artificial Intelligence Courses After 12th: Highlights

After completing your 12th grade, if you’re still thinking about what can do I after 12th, AI offers incredible opportunities in fields such as machine learning, data science, and robotics. AI courses provide deep insight into the science behind AI and its applications. They equip students with the necessary skills to address complex challenges and utilize cutting-edge technology. These courses are available in various formats, including full-time degrees, diplomas, and online certifications, and they can be pursued in both traditional universities and specialized institutes.

Highlight Details

Program Duration

1 to 4 years depending on the course level (Diploma, Bachelor's, Master's)

Eligibility

12th grade (with Physics, Chemistry, and Mathematics for B.Tech; Mathematics for B.Sc. and other courses)

Admission Process

Based on entrance exams (JEE for B.Tech, university-specific exams, or merit-based)

Average Course Fee

₹30,000 to ₹10 lakhs depending on the course and institution

Average Starting Salary

₹4 lakh to ₹12 lakh per annum, depending on the role and institution

Job Profiles

AI Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, AI Developer, Data Analyst

Artificial Intelligence Courses After 12th

When they finish 12th grade, those looking to pursue a career in Artificial Intelligence (AI) can look into a myriad of courses that are specialized. These courses provide a thorough study of the theories behind AI machines, machine learning, deep learning, and the analysis of data, equipping students with theoretical understanding as well as practical knowledge. AI is among the fields that are most sought after in the world, and numerous classes cater to various degrees of expertise and interests, starting from postgraduate through undergraduate courses and even professional certificates.

Below is a list of the various AI classes after 12th grade:

Course Name Duration Eligibility Mode of Study Top Institutes/Universities Average Fee (INR Career Opportunities

BCA in Artificial Intelligence

3 years

12th (with Mathematics or Computer Science)

Fulltime (Oncampus)

Amity University, IGNOU, Chandigarh University

12.5 lakhs

AI Software Developer, AI Analyst

M.Tech in Artificial Intelligence

2 years

B.Tech in Computer Science or related field

Fulltime (Oncampus)

IITs, NITs, University of Pune

25 lakhs

AI Architect, AI Researcher, Robotics Engineer

B.Sc. in Data Science with AI

3 years

12th (with Mathematics)

Fulltime (Oncampus)

Jain University, UPES

12.5 lakhs

Data Scientist, Data Analyst, AI Specialist

PG Diploma in AI and Machine Learning

1 year

Bachelor’s degree in Computer Science or related field

Online/Parttime

IIIT Hyderabad, Simplilearn, Coursera

50,000  1.5 lakhs

Machine Learning Engineer, AI Consultant

Diploma in AI and Robotics

1 year

12th (with Mathematics)

Fulltime

University of Pune, NIIT

40,000  1 lakh

Robotics Engineer, Automation Specialist

Online AI Certification Program

6 months to 1 year

12th (basic programmingFull-time knowledge)

Online

edX, Coursera, Stanford University

15,000  50,000

AI Developer, Machine Learning Engineer, Data Engineer

Admission Process for Artificial Intelligence Courses After 12th

To pursue Artificial Intelligence courses after the 12th, students usually have to clear entrance exams after the 12th, such as JEE Main or exams specific to the chosen institute. Some programs, such as BCA and B.Sc. in AI, could also have the opportunity to be admitted on merit, in which your marks in the 12th grade have a significant impact. 

If you are applying for postgraduate courses or professional accreditations, universities may conduct interviews with individuals or group discussions to gauge your skills and your interest in AI. When you've completed your application form, provided the required documents (like the 12th-grade marksheet as well as identification evidence), and passed the necessary tests or screening rounds, you'll be invited to the session for counselling, which will determine your program. Once you've been allocated a place, you'll have to make payment for the course for confirmation of your acceptance.

Artificial Intelligence Courses After 12th Eligibility

The eligibility for Artificial Intelligence courses after the 12th generally varies based on the type of program and the institution. However, here are the standard requirements:

  1. B.Tech in Artificial Intelligence: Students need to have completed their 12th with Physics, Chemistry, and Mathematics. The minimum required percentage can vary, but most institutions expect at least 5060% in 12th. Admission is typically through entrance exams like JEE Main or institution-specific exams.
  2. BCA in Artificial Intelligence: For this program, students should have completed their 12th with Mathematics or Computer Science. Some colleges may also accept students from other streams, but basic knowledge of computers is preferred.
  3. B.Sc. in Artificial Intelligence: Candidates need to have passed their 12th with Mathematics. A minimum of 5060% marks is typically required, and some institutes may conduct their entrance exams.
  4. Diploma in Artificial Intelligence: Students must have completed 12th from any stream, though those with a background in Mathematics or Computer Science may have an advantage. Some institutes may also accept candidates with a basic understanding of programming.
  5. Postgraduate AI Programs: For PG diplomas or M.Tech in AI, candidates must have a Bachelor's degree in Computer Science, Engineering, or a related field. Some programs may also require prior knowledge of programming languages and mathematics.
  6. Online AI Certifications: These programs typically have no specific eligibility criteria, though a basic understanding of programming and mathematics can be helpful.

If you’re planning on studying artificial intelligence abroad, keep in mind that each institution may have unique requirements, so check the college or university criteria before applying.

Entrance Exams for Artificial Intelligence Courses After 12th

In the case of applying to Artificial Intelligence (AI) courses after the 12th, entrance tests make up a significant element of the admissions process, specifically for postgraduate and undergraduate programs. Below is an overview of the most frequently used entrance tests:

  • JEE Main: For B.Tech AI admissions in IITs, NITs, and other top colleges.
  • BITSAT: For admission to BITS Pilani's AI-related programs.
  • VITEEE: For B.Tech AI courses at VIT University.
  • SRMJEEE: For admission to SRM University's AI programs.
  • IUET: For AI-related courses at Integral University, Lucknow.
  • UniversitySpecific Exams: Exams like DUET, Amity University Entrance Exam, and UPES for AI courses.
  • GATE: For M.Tech AI admissions in top institutes like IITs.
  • JEST: For Ph.D. and integrated M.TechPh.D. programs in AI.
  • NIMCET: For MCA courses with AI focus, used by NITs.

Artificial Intelligence Courses After 12th: Syllabus

The syllabus for Artificial Intelligence (AI) courses after the 12th can vary depending on the course type (B.Tech, BCA, Diploma, etc.) and the institution. However, here's a general idea of the topics covered in AI-related courses:

Course Year Subjects Covered

B.Tech in Artificial Intelligence

Year 1

Mathematics (Calculus, Algebra, Probability)
Physics (Mechanics, Electronics)
Programming Fundamentals (C, C++, Python)
Basic Engineering (Electronics, Electrical)

Year 2

Data Structures and Algorithms
Discrete Mathematics
Computer Organization and Architecture
Linear Algebra
Digital Logic Design

Year 3

Artificial Intelligence Fundamentals (Search algorithms, problem-solving)
Machine Learning (Supervised and Unsupervised Learning)
Data Science and Big Data
Natural Language Processing
Database Management Systems

Year 4

Deep Learning and Neural Networks
Robotics and Automation
AI Ethics and Governance
AI in Industry (Healthcare, Robotics, etc.)
Capstone Project

BCA in Artificial Intelligence

Year 1

Computer Programming (C, Python)
Mathematics for Computing
Computer Networks
Data Structures

Year 2

Artificial Intelligence Concepts
Machine Learning Algorithms
Operating Systems
Database Management

Year 3

Deep Learning
Natural Language Processing
AI in Robotics
Cloud Computing
Project Work

Diploma in Artificial Intelligence

Year 1

Basic Programming (Python, C++)
Mathematics and Logic for AI
AI Concepts and Algorithms

Year 2

Machine Learning Fundamentals
Robotics and Automation
AI Tools and Frameworks (TensorFlow, PyTorch)

Online AI Certification

Varies

Introduction to AI
Machine Learning Basics
Neural Networks and Deep Learning
Natural Language Processing
AI Project Work

Artificial Intelligence Courses After 12th: Skills Required

To succeed in Artificial Intelligence courses after 12th, students need key skills:

  1. Programming: Focusing on languages like Python, C++, and Java is key, with Python being one of the top programming languages to learn for AI.
  2. Mathematics: Strong knowledge in calculus, linear algebra, probability, and statistics.
  3. Problem-solving: Ability to create solutions for complex problems using algorithms.
  4. Data Structures & Algorithms: Understanding data organization and manipulation.
  5. Machine Learning: Knowledge of algorithms, model evaluation, and training data.
  6. Deep Learning: Familiarity with neural networks and frameworks like TensorFlow.
  7. Natural Language Processing: Skills for working with human language data.
  8. Data Analysis & Visualization: Ability to analyze data and present insights.
  9. Critical Thinking: Analytical thinking to solve AI challenges effectively.
  10. Collaboration & Communication: Teamwork and clear communication of ideas.
  11. AI Frameworks & Tools: Experience with tools like TensorFlow, PyTorch, and Scikit-learn.
  12. Ethical Considerations: Understanding AI's ethical impacts like bias and privacy.

These skills are essential for excelling in AI courses and future AI careers.

Artificial Intelligence Courses After 12th: Jobs & Salary

When you have completed Artificial Intelligence (AI) courses, a myriad of job openings become available. Demand for AI experts is rising throughout a range of sectors, ranging from finance to healthcare and technology. Below is an overview of typical job positions and their typical salaries.

Job Role Description Average Salary (INR)

AI Engineer

Designs and develops AI models, algorithms, and systems.

₹6 - ₹15 lakhs per annum

Machine Learning Engineer

Focuses on creating algorithms and models for machine learning applications.

₹6 - ₹20 lakhs per annum

Data Scientist

Analyzes and interprets complex data to build AI systems and solutions.

₹8 - ₹18 lakhs per annum

Data Analyst

Works with data to find trends and insights, often using AI tools.

₹4 - ₹10 lakhs per annum

AI Research Scientist

Conducts research to develop new AI models and technologies.

₹8 - ₹25 lakhs per annum

AI Developer

Develops software applications with AI integration, often using frameworks.

₹6 - ₹12 lakhs per annum

Natural Language Processing (NLP) Engineer

Specializes in AI applications involving human language, like chatbots.

₹7 - ₹15 lakhs per annum

Robotics Engineer

Designs AI-driven robots for various industries like manufacturing and healthcare.

₹7 - ₹18 lakhs per annum

AI Consultant

Advises organizations on integrating AI into their operations.

₹8 - ₹20 lakhs per annum

Business Intelligence Developer

Uses AI tools to analyze business data and improve decision-making.

₹6 - ₹15 lakhs per annum

The salary can differ based on the experience of the business, place of work, and specialization. In the event that AI grows across all industries, these positions will likely increase and provide lucrative career opportunities to professionals with the right skills.

[Explore More: Pursuing an MS in AI? Check Out These Top U.S. Universities]

Conclusion

Selecting the correct Artificial Intelligence course after the 12th is a careful assessment of your preferences, strengths, and goals for your future career. No matter if you're seeking a B.Tech, BCA, or any other certification, be sure that you're taking a course that matches the skills you have in math, programming, and solving problems. There is a growing need for AI specialists across different sectors, and sectors, investing in AI training can result in promising job opportunities as well as competitive salaries. Take a shrewd decision and establish a solid foundation for an enviable profession in AI.

Frequently Asked Question

1. What are the best AI courses to pursue after the 12th?

Some of the best AI courses after 12th include B.Tech in Artificial Intelligence, BCA in Artificial Intelligence, B.Sc. in Data Science with AI, Diploma in AI, and online certifications in AI and machine learning.

2. What is the eligibility for AI courses after the 12th?

Most AI courses require you to have completed 12th with Mathematics. For B.Tech in AI, Physics, and Chemistry are also typically required. Some courses may have specific entrance exam requirements or merit-based admissions.

3. Are AI courses available online after the 12th?

Yes, there are several online AI certification programs available for students after the 12th. Platforms like Coursera, edX, and Udacity offer courses in AI, machine learning, and data science, which can be pursued alongside traditional education or as standalone learning.

4. What skills are required to pursue AI courses?

Key skills required include proficiency in programming (especially Python), a strong mathematical background (calculus, linear algebra, probability), problem-solving ability, data structures knowledge, and a basic understanding of machine learning and AI concepts.

5. What are the career options after completing AI courses?

After completing AI courses, career options include roles like AI Engineer, Machine Learning Engineer, Data Scientist, AI Developer, Robotics Engineer, and NLP Engineer, with opportunities across industries like tech, healthcare, finance, and automotive.

6. What is the average salary after completing AI courses?

The average salary can vary depending on the role and location. For example, an AI Engineer can earn between ₹6 to ₹15 lakhs per annum, while a machine learning engineer or Data Scientist can earn between ₹6 to ₹20 lakhs annually.

7. How long does it take to complete AI courses after the 12th?

The duration varies depending on the course. A B.Tech in AI typically takes 4 years, BCA or B.Sc. courses take about 3 years, and diploma courses can range from 1 to 2 years. Online certifications may take anywhere from 6 months to 1 year.

8. Are there any entrance exams for AI courses after the 12th?

Yes, many AI courses require students to take entrance exams such as JEE Main (for B.Tech), BITSAT, SRMJEEE, or university-specific exams. For postgraduate courses like M.Tech, exams like GATE are standard.

9. Can I pursue AI courses without a strong programming background?

While a basic understanding of programming is recommended, many AI courses start with beginner-level programming. However, it's beneficial to have at least basic programming skills, especially in languages like Python.

10. Are AI courses after the 12th suitable for students from nontechnical backgrounds?

AI courses generally require a technical background in Mathematics and Programming. Students from nontechnical backgrounds may need to work on their foundational skills in these areas before pursuing AI education.

 




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