Artificial Intelligence After 12th: Best Courses, Eligibility, Fees & Career Opportunities

Introduction

Artificial Intelligence (AI) is becoming an important part of modern technology. From intelligent software and predictive systems to automation and data-driven solutions, AI and Machine Learning are being used across many industries. For students completing Class 12, a B.Tech programme focused on AI and Machine Learning can provide a structured path into this field.

SITASRM Engineering And Research Institute offers a four-year B.Tech in Computer Science and Engineering (AI/ML). The programme combines computer science foundations with focused learning in Artificial Intelligence and Machine Learning. It is designed around practical problem-solving, innovation and emerging technologies.

If you are considering an AI course after 12th, this guide covers the programme, eligibility, fees, learning areas and career scope here.

What is an Artificial Intelligence and Machine Learning course?

An artificial intelligence and machine learning programme teaches students how intelligent systems can learn from data, identify patterns and support decision-making. AI is used in areas such as smart applications, predictive analytics, transaction security, personalised solutions, automation and advanced digital services.

The B.Tech in Computer Science and Engineering (AI/ML) at SITASRM gives students deeper exposure to AI and ML while building a foundation in computer science and engineering. The programme also connects AI with practical applications such as self-driving technologies, AI-controlled drones, smart living solutions, predictive analytics and other real-world systems.

Program focus areas

• Artificial Intelligence and Machine Learning

• Programming and computational problem-solving

• Data-driven applications and predictive analytics

• Neural networks and deep learning concepts

• Computer vision and Natural Language Processing (NLP)

• Software and hardware systems

• Real-world AI applications and project-based learning

The programme is intended to help students develop technical knowledge along with critical thinking, problem-solving and creativity.

AI Course After 12th at SITASRM

Students looking for an undergraduate AI course after 12th can consider the B.Tech in Computer Science and Engineering (AI/ML) at SITASRM Engineering And Research Institute.

• Programme: B.Tech in Computer Science and Engineering (AI/ML)

• Programme level: Undergraduate

• Duration: 4 years

• Learning approach: Practical learning, technical projects, laboratory practice and industry-oriented exposure

• Location: Greater Noida, Uttar Pradesh

The programme is part of the institute's B.Tech offerings, alongside Computer Science and Engineering, Computer Science and Information Technology, and Electronics and Communication Engineering.

Eligibility for B.Tech in CSE (AI/ML) After 12th

According to the current eligibility information, candidates seeking admission to its B.Tech programmes should meet the stated academic requirements.

• Candidates should have completed 10+2 or an equivalent examination from a recognized board.

• Physics and Mathematics are required core subjects.

• Chemistry or Computer Science is included among the qualifying subject requirements.

• The published eligibility criteria specify a minimum of 50% marks in the qualifying examination.

• Admission information on the institute website lists JEE Main as the entrance examination route.

Eligibility and admission requirements can be updated. Students should check the latest admission information before applying.

B.Tech CSE (AI/ML) Fees

The fee structure lists the following tuition fee for B.Tech in Computer Science and Engineering (AI/ML):

• Year 1: ₹1,50,000

• Year 2: ₹1,50,000

• Year 3: ₹1,50,000

• Year 4: ₹1,50,000

The published fee structure also states that a refundable caution deposit of ₹5,000 is payable with the first instalment of the first year.

What Will You Learn in an AI/ML Engineering Programme?

The AI/ML programme is built to give students a strong foundation in computer science while developing specialised knowledge in Artificial Intelligence and Machine Learning. Students can work toward understanding how intelligent systems are designed and applied to practical problems.

The institute highlights real-world problem solving, critical thinking and innovation, career preparedness, and interdisciplinary connections as important programme outcomes.

Students can also gain exposure to practical work through laboratories, projects, workshops and technical activities. The institute's broader academic approach includes advanced labs, research centres, industry partnerships, AI and Machine Learning initiatives, and startup incubation.

Career Scope After B.Tech CSE (AI/ML)

AI and Machine Learning skills can support careers across software, technology, data and automation-focused roles. The exact career path depends on a student's technical skills, projects, internships and experience.

• Artificial Intelligence and Machine Learning Engineer

• Machine Learning Engineer

• Software Developer

• Data and analytics roles

• AI-focused research and development roles

• Software, hardware and network-related technology roles

• Automation and intelligent systems roles

The programme's stated outcomes also prepare students to design and develop software applications, manage software, hardware and networks, and work on coding and algorithms for computing systems.

Why Choose an AI/ML B.Tech After 12th?

• Build a computer science foundation with AI and ML specialisation.

• Learn through practical work, projects and laboratory practice.

• Develop problem-solving and critical-thinking skills.

• Explore emerging technologies and real-world AI applications.

• Prepare for technology-focused careers across multiple industries.

• Gain exposure to research, innovation and startup-oriented initiatives.

B.Tech CSE (AI/ML) vs Short-Term AI Courses

Short-term diplomas and certificates can be useful for learning specific AI skills. However, students seeking a full undergraduate engineering qualification can consider a four-year B.Tech programme.

A B.Tech in Computer Science and Engineering (AI/ML) provides a broader academic foundation. It combines computer science, engineering, programming, practical learning and specialised AI/ML knowledge over eight semesters.

Summary

For students interested in artificial intelligence after Class 12, a specialised B.Tech can offer a structured route into AI, machine learning, and computer science. The B.Tech in Computer Science and Engineering (AI/ML) at SITASRM Engineering and Research Institute is a four-year undergraduate programme focused on AI/ML, practical learning, technical projects, and real-world problem-solving.

Before applying, students should review the latest eligibility criteria, admission process, fee structure, and programme details published by the institute. Building programming fundamentals, working on projects and gaining practical experience can also help students prepare for technology careers.

FAQs

Q.1 Can I pursue an AI course after 12th?

A.1 Yes. Students who meet the eligibility requirements can pursue an undergraduate programme such as B.Tech in Computer Science and Engineering (AI/ML).

Q.2 What is the duration of the B.Tech CSE (AI/ML) programme at SITASRM Engineering And Research Institute?

A.2 The B.Tech CSE (AI/ML) programme is four years long.

Q.3 What are the eligibility requirements for B.Tech CSE (AI/ML)?

A.3 The institute's published criteria require 10+2 with Physics and Mathematics as core subjects, along with Chemistry or Computer Science, and a minimum of 50% marks. Admission information also lists JEE Main.

Q.4 What is the B.Tech CSE (AI/ML) fee at SITASRM Engineering And Research Institute?

A.4 The published tuition fee is ₹1,50,000 per year for each of the four years. A refundable caution deposit of ₹5,000 is also stated in the fee structure.

Q.5 What careers can I pursue after B.Tech CSE (AI/ML)?

A.5 Depending on your skills and experience, you can explore AI/ML engineering, software development, data and analytics, research, automation and other technology-focused roles.Enter Your Text