B.Tech in Artificial Intelligence Course is gaining popularity in today’s tech-driven world. As AI becomes more integral in our everyday lives, the demand for AI professionals is rising. In this article, we cover everything about pursuing a B.Tech in Artificial Intelligence course. From what you’ll learn each semester to costs and job prospects after graduation, we’ve got you covered. Whether you’re considering this path or just curious about an Artificial intelligence course, our goal is to give you clear insights. Discover top institutes offering this course and learn about the skills shaping our tech future with us.
What Is BTech In Artificial Intelligence Course?
A Btech in artificial intelligence course is basically a subset of computer science that primarily focuses on equipping students with the essential skills and knowledge related to artificial intelligence and computer science.
This BTech in Artificial Intelligence course is a four-year-long engineering degree program, primarily focused on the applications and principles of Artificial Intelligence.
Btech Artificial Intelligence Course Overview
Before moving ahead, let us understand the brief overview of the Btech AI course, going through this table will help you to get brief insights about the basics of the Artificial intelligence course.
| Particulars | Details |
| Course Name | BTech in Artificial Intelligence Course |
| BTech in Artificial Intelligence Course Duration | 4 years (8 semesters) |
| BTech in Artificial Intelligence Course Fee | Course fees vary depending on the type of institute. The average artificial intelligence course fee is around INR 10 lakh |
| BTech in Artificial Intelligence Colleges | The top colleges for Btech AI include- IIT Roorkee, IIT Guwahati, IPU, etc |
| BTech in AI Average Salary | INR 4 to 8 lakh |
| BTech in AI Top Recruiters | Infosys, Wipro, TATA Motors, Flipkart, Mahindra, etc. |
| BTech in AI Entrance Exam | JEE Main, JEE Advance, KEAM, CU CET etc. |
| BTech in AI Job Positions | Data Scientist, Data Analyst, Machine Learning Engineer, etc. |
Specialization In BTech In Artificial Intelligence Course
The BTech in artificial intelligence course can further provide more specializations in the roles given below-
- Machine Learning: Learn to create and use ML algorithms that help computers make decisions and predictions.
- Deep Learning: It Specializes in building and using advanced models for tasks like recognizing images and understanding language.
- Computer Vision: Its primary focus is on creating systems that analyze and interpret visual information.
- Natural Language Processing: Develop systems that understand and work with human languages.
- Robotics: Combine AI with robotics to design, build, and control robots for different uses.
Btech In Artificial Intelligence Course Scope
The scope of the B.Tech in Artificial Intelligence course is quite impressive and growing rapidly. With the influence of AI in almost every field, from healthcare to finance, the demand for skilled AI professionals is quite high. Emerging technologies like machine learning and robotics are advancing rapidly, creating new opportunities in the field. In today’s data-driven world, AI expertise is crucial for analyzing vast amounts of data effectively. Pursuing a B.Tech in Artificial Intelligence course prepares students for a dynamic career with a lot of future scope and high salaries.
Factors Promoting The Growth Of AI:
- Demand across sectors: Every industry in today’s time is increasingly reliant on AI. Whether it’s healthcare, finance, or retail everyone is looking forward to enhancing efficiency and decision-making processes.
- Emerging technologies: Advances in technologies like -machine learning, robotics, and natural language processing are expanding AI applications.
- Data-driven world: With the growing population and industries, there is also an Increasing volume of data requiring AI for effective analysis and actionable insights.
- Evolving job landscape: There’s a rising demand for AI specialists in research, data science, and technology-driven innovation.
Btech In Artificial Intelligence Course Eligibility Criteria
Now, you must be curious to know about the required eligibility criteria for enrolling in the Btech artificial intelligence course. So, the basic eligibility criteria are given in the table below for your better understanding.
Eligibility Criteria For Btech In Artificial Intelligence Course |
|
| Criteria | Description |
| Educational Background | Students must have passed the 12th class or equivalent examination from a recognized board. |
| Stream | Must have passed 12th class with science stream with Physics and Mathematics as regular subjects. |
| Minimum Marks | Minimum marks requirement generally varies between universities from 50% to 70%. |
| Entrance Exams | Many top universities take admission on the basis of JEE main and JEE advanced entrance exams, while some consider state-level entrance exams as their selection criteria and some top private universities have their own examinations. |
Top Btech In Artificial Intelligence Course Colleges
In India, over 1100 colleges offer courses in Artificial Intelligence and Machine Learning. These institutions are mainly private, with more than 1000 being privately funded, while government colleges number around 60-70. Here’s a breakdown of some leading colleges grouped into three main categories:
- Top IITs and NITs
- Other government colleges
- Private Institutions.
Let us look into the top five colleges in each category along with the total fees.
1. Top IITs And NITs
IITs and NITs are considered as one of the most prestigious colleges for pursuing engineering degrees. These colleges offer various courses including the Artificial Intelligence one. The main criteria for admission to these colleges include- clearing JEE Mains and then JEE Advance, not only clearing but getting a good and reputable AIR in both exams.
| Top IITs And NITs For Artificial Intelligence Course | |
| College | Tuition Fees |
| IITs | |
| IIT Roorkee | INR 8 L |
| IIT Guwahati | NA |
| IIT Hyderabad | INR 8 L |
| IIT Gandhinagar | INR 8 L |
| NITs | |
| NIT Surathkal | INR 5 L |
| NIT Delhi | INR 5 L |
| NIT Kurukshetra | INR 5 L |
2. Other Government Colleges
Some of the other reputed and well-known state-funded government colleges are given below for your reference. Admission to these colleges may vary from college to college. While some consider JEE main and advance as their selection criteria, others have their own state-conducted examination for the selection. You can refer to the websites of these colleges to learn more about them.
| Government Colleges For Artificial Intelligence Course | |
| College | Tuition Fees |
| GJUST, Hisar | INR 2.44 L |
| UIET, Rohtak | INR 2.2 L |
| IPU, Delhi | INR 4.64 L |
| NSUT, Delhi | INR 3.54 L |
| Coimbatore Institute of Technology | INR 1.04 |
3. Private Colleges
Private universities and colleges in India play a significant role in AI education. They focus on practical learning by collaborating closely with leading tech companies for internships and job placements. These institutions also invest in modern facilities and labs equipped with advanced AI tools. Here are some top private colleges listed below that offer great learning and placement assistance.
| Private Colleges For Artificial Intelligence Course | |
| College | Tuition Fees |
| Amity University Gurugram | INR 8.08 L – 12 L |
| BIT Mesra | INR 12.23 L |
| Chandigarh University | INR 9.55 L |
| Kalasalingam University | INR 4L – 7.4 L |
| LPU | INR 13.6 L |
| Manipal University | INR 16.4 L |
Btech In Artificial Intelligence Course Syllabus
The B.Tech in Artificial Intelligence course syllabus is designed to provide students with a detailed understanding of AI concepts and technologies. It covers a wide range of topics, from basic programming and mathematics to advanced AI techniques and applications. Below is a semester-wise breakdown of the course syllabus, detailing the key subjects and skills you’ll learn throughout the program.
| Semester 1 | Semester 2 |
| Linear Algebra | Calculus |
| Chemistry | Physics |
| Basic Electrical & Electronics Engineering | Programming in C |
| Introduction to Python Programming | Communication Skills |
| Critical Thinking | Creative Thinking |
| Cyber Security | Statistics for Data Science |
| Entrepreneurship Venture | Software Tools for Artificial Intelligence and Machine Learning |
| Semester 3 | Semester 4 |
| Probability and Random Processes | Application and Use Cases of Machine Learning |
| Python for Data Science | Supervised Machine Learning |
| Data Structures and Algorithms | AI Ethics |
| Data Reprocessing | Optimization Techniques for Machine Learning |
| Exploratory Data Analysis | Discrete Mathematics |
| Database Concepts for Data Science | Integrated Disaster Management |
| Design Thinking | — |
| Semester 5 | Semester 6 |
| Service Learning | Natural Language Processing |
| Deep Learning | Reinforcement Learning |
| Generative Adversarial Networks | Capstone Project |
| Data Visualization | – |
| Principles of Economics | – |
| Computer Networks | – |
Artificial Intelligence Course Career Prospects
Artificial Intelligence courses open up a wide range of exciting career opportunities with lucrative salaries for individuals. With AI being used in many industries, there is a high demand for professionals skilled in this field. Graduates can work in various roles and industries according to their choice. Some of the most common and demanding roles in this field are listed below for your reference:
- AI Engineer: Responsible for developing and implementing AI models and algorithms.
- Data Scientist: They are responsible for analyzing and interpreting complex data to help decision-making.
- Machine Learning Engineer: They primarily work on designing and building machine learning systems and applications.
- Robotics Engineer: They create and manage robots for various uses.
- AI Research Scientist: Conduct research to advance AI technologies.
- Business Intelligence Developer: They generally use AI to enhance business processes and strategies.
Learn Artificial Intelligence Course Online
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Artificial Intelligence Course FAQs
What topics are covered in a B.Tech in AI course?
The course basically covers machine learning, deep learning, neural networks, computer vision, natural language processing, and AI ethics.
How long does it take to complete an AI course?
A B.Tech in AI usually takes four years to complete. On the other hand, there are various short-term courses and certifications available in the market that can vary from a few months to a year.
What career opportunities are available after completing an AI course?
Graduates can pursue careers as AI engineers, data scientists, machine learning engineers, AI researchers, business intelligence developers, and much more.
What is the future scope of AI?
AI is rapidly growing and is expected to transform many industries, offering various job opportunities and advancements in technology.
