B.Tech CSE (AI & ML) Course Details

B.Tech in CSE (AI & ML) Course Details

The B.Tech in Computer Science Engineering (CSE) with a specialization in Artificial Intelligence (AI) and Machine Learning (ML) is an advanced undergraduate program that blends foundational computer science with cutting-edge AI and ML technologies. The course covers core computer science topics, such as programming, algorithms, and data structures, along with specialized AI and ML subjects, including deep learning, neural networks, natural language processing, and data analytics. Students gain hands-on experience through practical labs, projects, and internships. Graduates are well-prepared for careers in tech-driven fields, such as AI research, data science, robotics, and automation.

Course Highlights

B.Tech in CSE (AI & ML) Duration:

B.Tech in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning (AI & ML) is a 4-year undergraduate program, typically divided into 8 semesters. This course focuses on both foundational computer science concepts and advanced topics in AI and machine learning, including algorithms, neural networks, and data analytics. The curriculum balances theoretical learning with hands-on projects, lab work, and internships, equipping students with the skills needed to build intelligent systems and solve complex computational problems. Graduates are prepared for a fast-growing tech industry with numerous opportunities in AI-driven fields.

B.Tech in CSE (AI & ML) Syllabus:

Semester 1:

• Programming for Problem Solving
• Engineering Mathematics I
• Data Structures and Algorithms
• Digital Electronics
• Communication Skills

Semester 2:

• Discrete Mathematics
• Computer Organization and Architecture
• Object-Oriented Programming
• Engineering Mathematics II
• Database Management Systems

Semester 3:

• Operating Systems
• Artificial Intelligence Foundations
• Theory of Computation
• Web Technologies
• Probability and Statistics

Semester 4:

• Machine Learning Algorithms
• Data Mining and Data Warehousing
• Computer Networks
• Software Engineering
• Optimization Techniques

Semester 5:

• Deep Learning
• Natural Language Processing
• Advanced Algorithms
• Data Science and Big Data Analytics
• Elective I

Semester 6:

• Neural Networks and Fuzzy Logic
• Reinforcement Learning
• Robotics and AI
• Cloud Computing
• Elective II

Semester 7:

• Internet of Things (IoT)
• Advanced Machine Learning
• Computer Vision
• Elective III
• Project Work I

Semester 8:

• AI in Healthcare and Autonomous Systems
• Blockchain and AI Integration
• Elective IV
• Major Project/Thesis
• Comprehensive Viva

B.Tech CSE (AI & ML) Eligibility Criteria:

• Educational Qualification: Candidates must have passed or be appearing for their 12th grade with Physics, Chemistry, and Mathematics (PCM) or an equivalent stream.
• Engineering Diploma: A 3-year Engineering Diploma in any stream is also considered eligible.
• Minimum Marks: Students must have obtained a minimum of 45% marks in their 12th grade and/or diploma. There is a 5% relaxation for reserved categories (SC/ST) in some institutions.
• Entrance Exam: Admission to top Engineering colleges in India is commonly through entrance exams like AIE CET.

Entrance Exam for B.Tech CSE (AI & ML)

AIE CET 2025 (All India Engineering Common Entrance Test) is a national-level entrance exam for students aiming to pursue B.Tech CSE (AI & ML) and other engineering courses in India. It provides access to some of the top engineering institutes and universities approved by AICTE, Government of India

Key Highlights:

• AIE CET is a National-level common entrance test for engineering disciplines.
• AIE CET facilitates admissions to leading AICTE-approved institutes and universities across India, ensuring high-quality education and infrastructure.
• Admission Criteria:
  • Candidates' admission is based on their All India Rank (AIR) in AIE CET.
  • After the exam, students participate in counseling sessions conducted by AIE CET to confirm admission to AICTE-approved  Engineering institutes.
  • Based on the AIR, students may recieve up to a 100% scholarship, making education affordable for deserving candidates.

Benefits of Qualifying AIE CET:

• Admission to Top Colleges: AIE CET opens opportunities for students to get admission into some of the best aerospace engineering colleges in India.
• Scholarship Opportunities: High-performing candidates in AIE CET are also eligible for scholarships, which help in covering a part of their tuition fees.
• Admission Process 

 Steps to Apply for AIE CET:

• Official Portal: Visit the official AIE CET website (www.aiecet.com) to register
• Registration: The registration form will be available from 15 August, 2024. Fill out the form with your basic details.
• Login Credentials: Upon successful registration, you will recieve your login credentials via email or SMS.
• Application Form: Use the credentials to log in and access the full application form.
• Document Upload: Keep scanned copies of your passport-sized photograph, signature, and academic documents ready for upload.
• Fees Payment: Complete the process by paying the examination fee using one of the available online payment methods, such as credit/debit cards or net banking.
• Final Submission: Double-check all the information entered in the form before submitting.
• Acknowledgment: After submission, you'll receive a confirmation message or email. Make sure to save or print this acknowledgment for future reference.

B.Tech CSE (AI & ML) Course Fees

The course fee structure for B.Tech CSE (AI & ML) varies depending on the institution and the facilities provided. After passing the AIE CET exam, students can gain admission to several top AICTE-approved institutes in India, with admission based on their All India Rank (AIR).

• Fee Structure: The fees for Electronics and Communication  Engineering can vary between colleges and are usually paid on a semester-wise basis.
• Average Fees: Generally, the average course fees for CSE (AI & ML) range from INR 4 to 6 lakhs across different institutions.
• Institutional Variation: Exact fee details for each institution are available on their official websites.
• Financial Assistance: Education loan facilities are commonly offered by banks to help students manage the cost.
• NRI Fees: Fees for NRI students are typically higher compared to Indian students.

For specific fee details, students should check the official websites of the institutions they are interested in.

B.Tech CSE (AI & ML) Colleges

There are numerous prestigious colleges and universities across India offering B.Tech CSE (AI & ML) . Admission to these institutions is facilitated through the AIE CET exam, allowing students to select their preferred colleges based on their All India Rank (AIR). When choosing a college, it's essential to evaluate the quality of education, placement records, industry connections, and infrastructure. Top institutions are recognized for their strong academic programs, cutting-edge laboratories, and collaborations with industries, which significantly enhance learning and career opportunities for students. Prospective students should consult the official websites of their preferred colleges for detailed information.

Scope of B.Tech in CSE (AI & ML)

The scope of B.Tech in Computer Science Engineering (CSE) with a specialization in Artificial Intelligence (AI) & Machine Learning (ML) in India is immense and continuously growing. With the rapid advancement of technologies such as AI, data analytics, machine learning, automation, and big data, there is a high demand for professionals skilled in these areas. AI and ML are transforming various sectors like healthcare, finance, e-commerce, manufacturing, and transportation, leading to numerous career opportunities for graduates.

Career Opportunities for B.Tech in CSE (AI & ML) Graduates

1. Artificial Intelligence Engineer: Work on developing AI algorithms, machine learning models, and intelligent systems across various industries like healthcare, finance, and e-commerce.

2. Data Scientist: Analyze large datasets to extract meaningful insights and assist in data-driven decision-making for businesses, government, and tech organizations.

3. Machine Learning Engineer: Design and implement machine learning systems for applications like predictive analytics, natural language processing, and automation.

4. Software Engineer (AI/ML): Develop software applications that integrate AI and ML technologies, such as intelligent apps, chatbots, and recommendation systems.

5. Robotics Engineer: Design AI-driven robotic systems for industries such as manufacturing, healthcare, and logistics, enabling automation and innovation.

6. AI Researcher: Contribute to the advancement of AI by conducting research on topics like neural networks, deep learning, and reinforcement learning.

7. IoT Specialist: Work on the integration of AI and machine learning in Internet of Things (IoT) devices, enabling smarter, connected solutions for homes, industries, and smart cities.

8. Cloud Engineer (AI/ML): Develop cloud-based AI solutions and manage the deployment of machine learning models at scale, working with platforms like AWS, Google Cloud, or Microsoft Azure.

9. Natural Language Processing (NLP) Engineer: Specialize in developing AI solutions focused on language translation, voice recognition, chatbots, and sentiment analysis.

10. Autonomous Systems Engineer: Design and develop intelligent systems for autonomous vehicles, drones, and robotics, integrating AI and ML into real-time decision-making.

11. AI Product Manager: Lead product development teams to create AI-powered products and solutions, managing everything from ideation to launch and optimization.

12. Cybersecurity Analyst (AI/ML): Use AI and machine learning to develop advanced cybersecurity tools that can detect and prevent cyber threats in real-time.

13. Business Intelligence Analyst: Leverage AI and ML technologies to interpret business data, providing actionable insights to help companies optimize processes and strategies.

14. Entrepreneur/Startup Founder: Start AI-driven ventures or work with innovative startups focusing on developing intelligent systems, robotics, or AI-based software solutions.

15. Consultant (AI/ML): Provide advisory services on the implementation of AI and machine learning solutions, process automation, and digital transformation for various industries.

16. Government and Regulatory Agencies: Work on AI policy development, regulation of AI technologies, or implementation of AI in public sector projects.

Top Companies for B.Tech in CSE (AI & ML) Graduates

In India:

1. Tata Consultancy Services (TCS): A major IT services company offering roles in AI, machine learning, data analytics, and software development, with a focus on AI-driven solutions for global clients.

2. Infosys: Engages in AI-powered business solutions, offering positions in artificial intelligence, machine learning, data science, and intelligent automation.

3. Wipro: Provides opportunities in AI and machine learning, focusing on AI research, automation, and AI-enhanced software solutions for industries like healthcare, banking, and telecommunications.

4. HCL Technologies: Offers roles in AI, machine learning, cloud computing, and AI-driven digital transformation projects across a range of industries.

5. Reliance Jio: Focuses on AI-based applications, data analytics, and the development of AI and machine learning solutions in telecommunications and digital platforms.

6. Tech Mahindra: Specializes in AI solutions for industries like telecommunications, finance, and retail, offering roles in AI research, intelligent automation, and data science.

7. L&T Technology Services: Provides AI and machine learning roles in the fields of smart manufacturing, autonomous systems, and AI-enhanced industrial solutions.

8. Amazon India: Offers roles in AI research, machine learning engineering, natural language processing (NLP), and AI product development for applications like Amazon Alexa and AWS.

Internationally:

1. Google: A global leader in AI and machine learning, providing roles in AI research, machine learning engineering, and the development of AI-driven products like Google Assistant and Google Cloud AI.

2. Microsoft: Focuses on AI research, machine learning, and cloud-based AI solutions, offering diverse roles in AI product development, research, and AI-driven software solutions.

3. IBM: Engages in AI development with a focus on AI-driven enterprise solutions, machine learning, NLP, and AI cloud platforms like IBM Watson.

4. Facebook (Meta): Provides opportunities in AI research, machine learning, deep learning, and the development of AI-driven products for social media, augmented reality (AR), and virtual reality (VR).

5. Intel: Offers roles in AI hardware development, machine learning, and the integration of AI with semiconductor technologies.

6. NVIDIA: Specializes in AI hardware, deep learning, and machine learning applications, providing opportunities in AI research, autonomous systems, and AI-enhanced computing.

7. Tesla: Engages in AI-driven autonomous systems, offering roles in AI research, machine learning, and the development of AI-powered self-driving cars.

8. OpenAI: A leading AI research organization focusing on machine learning, neural networks, and AI-driven applications across industries.

Higher Studies After B.Tech in CSE (AI & ML)

Postgraduate Specializations:

1. M.Tech in Artificial Intelligence
2. M.Tech in Machine Learning
3. M.Tech in Data Science
4. M.Tech in Computer Vision
5. M.Tech in Robotics
6. M.Tech in Cloud Computing
7. M.Tech in Natural Language Processing (NLP)
8. MBA in Information Technology (IT)

Doctoral Studies:

1. PhD in Artificial Intelligence
2. PhD in Machine Learning
3. PhD in Data Science
4. PhD in Robotics and Autonomous Systems

Frequently Asked Questions