Artificial Intelligence
Degrees offered: B.A., B.B.A, B.C.A., B.E /B.Tech, B.Sc., B.Sc.(Hons), B.Tech MBA
What is Artificial Intelligence
Artificial Intelligence courses are designed to provide knowledge in various topics in AI, including machine learning, deep learning, natural language processing, computer vision, robotics, and data analytics. Artificial Intelligence is a unique career path that can lead you to success. AI itself will need development, maintenance and sales. Artificial Intelligence courses are therefore going to be a lifesaver in the future. Students can also opt for the B.Tech Computer Science with a focus on artificial intelligence course, which is a comprehensive course on artificial intelligence.
The artificial intelligence degree course involves the basics of artificial intelligence and Machine Learning (ML) as well as the advanced and practical aspects of AI and ML. Along with this, the B.Tech Artificial Intelligence course also includes the topics that are there in the normal computer science course, like JAVA, C, electrical and electronics engineering, database management, design, and operating systems. After the undergraduate course in Artificial Intelligence, students can also opt for a postgraduate course in artificial intelligence. The PG in AI offers a more comprehensive study of artificial intelligence and machine learning.
Highlights - Artificial Intelligence
Top Courses | UG: B.Tech in Artificial Intelligence, B.Sc in Artificial Intelligence PG: M.Tech in Artificial Intelligence, M.Sc in Artificial Intelligence |
Duration | UG: 3 -4 years PG: 2 years |
Admission Process | UG: Entrance Exam PG: Entrance Exam |
Entrance Examination | |
Eligibility | UG: 10+2 Examinations and Entrance Exam PG: BE/BTech Degree in Engineering |
Fee Structure | UG: Rs. 2,000 - Rs. 8,00,000 PG: Rs. 1,00,000 - Rs. 4,10,000 |
Career options | Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Consultant, Natural Language Processing (NLP) Engineer, Computer Vision Engineer |
Salary Structure | Rs. 7 LPA |
Popular Engineering Colleges in India
Top Artificial Intelligence Colleges in India
Artificial Intelligence courses are offered by many universities and colleges. Artificial Intelligence fee is mostly based on the degree programme which is chosen by the student, type and location of the college. Some of India's top Artificial Intelligence colleges and Artificial Intelligence course fees are listed in the table below.
Colleges | Average Fees |
ABES Institute of Technology, Ghaziabad | Rs. 4.27 Lakhs |
Bhilai Institute of Technology, Durg | Rs. 3.17 Lakhs |
BM Institute of Engineering and Technology, Sonepat | Rs. 3.63 Lakhs |
Chandigarh University, Chandigarh | Rs. 2.26 Lakhs |
GH Raisoni College of Engineering, Nagpur | Rs. Rs. 6.43 Lakhs |
ABES Institute of Technology, Ghaziabad | Rs. 4.27 Lakhs |
Bhilai Institute of Technology, Durg | Rs. 3.17 Lakhs |
BM Institute of Engineering and Technology, Sonepat | Rs. 3.63 Lakhs |
Chandigarh University, Chandigarh | Rs. 2.26 Lakhs |
GH Raisoni College of Engineering, Nagpur | Rs. Rs. 6.43 Lakhs |
Top Private Artificial Intelligence Colleges in India
Artificial Intelligence courses are offered by a number of private universities and colleges in India. Admission is offered based on previous academic achievements and the results of the entrance examinations. The table below lists some of India's best private Artificial Intelligence colleges and Artificial Intelligence course fees.
Colleges | Average Fees |
Rs. 4.27 Lakhs | |
Rs. 3.17 Lakhs | |
Rs. 3.63 Lakhs | |
Rs. 2.26 Lakhs | |
Rs. Rs. 6.43 Lakhs | |
Rs. 3.28 Lakhs | |
- | |
Rs. 4.04 Lakhs | |
Rs. 9.70 Lakhs | |
Rs. 10.18 Lakhs |
Top Government Artificial Intelligence Colleges in India
In India, there are many government universities and colleges that offer Artificial Intelligence courses. Prior academic achievements and entrance examination scores are used to determine admission for Artificial Intelligence courses. India's best government Artificial Intelligence colleges and Artificial Intelligence course fees are listed in the table below.
Colleges | Average Fees |
Rs. 1.01 Lakhs | |
- | |
Rs. 1.24 Lakhs | |
- | |
Rs. 17 Lakhs | |
Rs. 3.39 Lakhs | |
Rs. 8.88 Lakhs | |
Rs. 1.17 Lakhs | |
Rs. 60,150 | |
Rs. 61,000 |
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Eligibility Criteria (UG & PG) of Artificial Intelligence
Eligibility Criteria for UG Courses
- Students need to complete 10+2 from a recognised board of India in the Science stream.
- Students must have studied physics, chemistry and mathematics (PCM) in their higher secondary years.
- They should meet the minimum academic criteria set by the institution.
- Proficiency in mathematics, including knowledge of algebra, calculus, and probability theory is required.
- Students should appear for the entrance examination.
Top Entrance Exams for UG Courses
JEE Main - JEE Main or Joint Entrance Examinations Main is a national-level entrance examination conducted by NTA for admission to India's top engineering institutes.
VITEEE- VIT or Vellore Institute of Technology Entrance Exam is a university-level entrance examination which is conducted by Vellore Institute of Technology for admission to all VIT campuses.
Eligibility Criteria for PG Courses
- Students should complete a bachelor's degree in a relevant field, such as computer science, mathematics, engineering, or a related discipline.
- They need to meet the minimum academic performance criteria set by the institution.
- Proficiency in mathematics, including knowledge of linear algebra, calculus, and probability theory is required.
- Some institutions may require students to have prior knowledge or coursework in artificial intelligence, machine learning, or related subjects.
- Some colleges offer admission based on the marks of the entrance examination.
Top Entrance Exams for PG Courses
GATE: GATE or Graduate Aptitude Test in Engineering is a national-level entrance examination conducted by the Indian Institute of Science and seven Indian Institute of Technologies for admission to the postgraduate degree programmes in India's top engineering colleges.
College Predictors VIEW ALL
Scope of Artificial Intelligence in India and Abroad
Traditional computers work on an input/output basis - you get output based on what you input. All the works done by computers today are basically the results of inputs. Artificial intelligence aims to change this. It is going to save the companies a huge amount of money every year. The takers for AI will come in droves. Even in its nascent stage, many reputed companies like Amazon or Facebook have already started implementing AI-based systems. The demand for AI (and hence AI experts) will increase phenomenally. Especially in the initial years, the demand will be greater than the supply. And this is not what is expected in India only but globally too.
Today, more and more companies in India, especially, those located in Bengaluru, Hyderabad, Gurugram and the NCR are trying to adopt artificial intelligence in a big way. It can be a safe, quick and cost-effective solution for companies.
We have seen what SIRI or Alexa can do. One just needs to ask them questions and they give fairly coherent answers. And yet these are just basic examples of AI. Amazon is incorporating AI-based robots in its warehouses to sort products and carry them to delivery vehicles. Another great use of AI is to detect and delete fake news from websites. AI-based self-driving cars are about to be an in-thing. The possibility is endless. Here is a list of industries that can benefit from AI, all over the world:
- Healthcare, disease detection, surgery and disease prediction
- Space industry. We all know how robots and artificially intelligent systems are trying to find water on Mars, analysing the dust and mud of other planets, examining the poisonous gases present in the atmosphere of other planets.
- Business and industries- retail, basic assistance to shoppers, warehousing, and even delivery.
- Robots that can do heavy lifting and work are deemed dangerous for humans.
The scope for growth for Artificial Intelligence is expanding every day. Naturally, one can build a glittering career around it.
Course Fees Artificial Intelligence
| Minimum Fees | Maximum Fees | |||
|---|---|---|---|---|
| Private | Government | Private | Government | |
| UG |
84.00 K
B.Sc. in Artificial Intelligence at Theni College of Arts and Science, Theni
|
9.20 K
B.Sc. in Artificial Intelligence at Central Tribal University of Andhra Pradesh, Vizianagaram
|
97.60 Lakhs
B.E /B.Tech in Artificial Intelligence at Amity University, Greater Noida Campus
|
18.02 Lakhs
B.E /B.Tech in Artificial Intelligence at Indraprastha Institute of Information Technology, Delhi
|
| PG |
1.00 Lakhs
M.E /M.Tech. in Artificial Intelligence at KJ Somaiya Institute of Engineering and Information Technology, Mumbai
|
---
Data not available
|
11.04 Lakhs
M.E /M.Tech. in Artificial Intelligence at Mukesh Patel School of Technology Management and Engineering, Mumbai
|
6.13 Lakhs
M.E /M.Tech. in Artificial Intelligence at Indraprastha Institute of Information Technology, Delhi
|
| DOCTORAL |
3.90 Lakhs
Ph.D in Artificial Intelligence at Shoolini University of Biotechnology and Management Sciences, Solan
|
---
Data not available
|
3.90 Lakhs
Ph.D in Artificial Intelligence at Shoolini University of Biotechnology and Management Sciences, Solan
|
---
Data not available
|
| DIPLOMA |
64.00 K
Diploma in Artificial Intelligence at SunRise University, Alwar
|
---
Data not available
|
1.22 Lakhs
Diploma in Artificial Intelligence at Siddhant College of Engineering, Pune
|
---
Data not available
|
Course Subjects
Artificial Intelligence Course Subjects/Syllabus for UG course
The undergraduate-level degree programme in Artificial Intelligence (AI) provides students with a thorough knowledge of AI and techniques. Students typically study Artificial Intelligence course syllabus such as Introduction to AI, Machine Learning, Natural Language Processing, Computer Vision, and Robotics. Below we have mentioned the syllabus of the B.Sc. Computer Science (Artificial Intelligence) of Madurai Kamaraj University.
Semester 1 | |
Tamil | English |
Programming in C | Lab 1: Programming in C |
Mathematical Foundations I | Lab 2: Linux Programming |
Value Education | - |
Semester 2 | |
Tamil | English |
Object Oriented Programming with C++ | Lab 3: Object-Oriented Programming with C++ |
Mathematical Foundations II | Design Thinking |
Environmental Studies | - |
Semester 3 | |
Tamil | English |
Data Structures and Computer Algorithms | Lab 4: Data Structures and Computer Algorithms Lab |
Introduction to Artificial Intelligence | Resource Management Techniques |
Lab 5: Python Programming Lab | - |
Semester 4 | |
Tamil | English |
Introduction to Machine Learning | Lab 6: Machine Learning Lab-I |
Soft Computing | Numerical Methods |
Lab 7: Open CV Lab | Extension Activities |
Semester 5 | |
Algorithms in Artificial Intelligence | Machine Learning Techniques |
Principles of Deep Learning | Lab 8: Machine Learning Lab -II |
1. Ethics and Social Implications of AI 2. Digital Image Processing 3. Operating System | Introduction to Computers and Office Automation |
Lab 9:Open source Technology Lab | - |
Semester 6 | |
Internet of Things and Robotics | Natural Language Processing |
Lab 10: Natural Language Programming | 1. Data Science with R Programming For AI 2. Data Mining and Warehousing 3. Software Engineering |
Project Work / Viva-Voce | Introduction to Internet |
Quantitative Aptitude | - |
Artificial Intelligence Course Subjects/Syllabus for PG course
Artificial Intelligence course prepares students for leadership roles in AI research, development, and innovation, equipping them to manage complex challenges and contribute to the advancement of AI technologies. Below, we have mentioned the postgraduate Artificial Intelligence course syllabus.
Semester 1 | |
Artificial Intelligence and Intelligent Systems | Machine Learning |
Natural Language Processing | Programme Elective-I |
Programme Elective-II | AI-based Programming Lab |
Semester 2 | |
Deep Learning | Big Data Analytics |
Speech Information Processing | Programme Elective-III |
Programme Elective-IV | Deep Learning and Data Analytics Lab |
Semester 3 & Semester 4 | |
M.Tech. Dissertation | - |
Careers in Artificial Intelligence
The applications of artificial intelligence are endless and there are many jobs that will be available to a candidate opting for an artificial intelligence course. The three main areas that require the expertise of qualified AI engineers are:
Machine learning engineering: Although we think Artificial Intelligence machines think autonomously, to create the logic-based system in the AI, we need to feed the system with vast amounts of data. We cannot just feed unstructured data. The AI machines need a comprehensive, logical, and vast amount of data in order to let their algorithm work properly. This is the work of machine learning engineers. Think of machine learning engineers as teachers who inculcate basic ethics and logic in the students. After that, the student uses the teachings of the teachers to come up with their own understanding of the world. The work of ML engineers is extremely critical. They must not feed any data that can make the AI biased.
Data Science: Similar to machine learning engineers, data scientists analyse Big Data to understand how it can be fed into the AI system to make the AI more efficient. Data scientists are perhaps the most important people in the AI world - they need to be aware of both AI and ML to use Big Data in a useful manner.
Artificial intelligence engineering: If machine learning engineers are the teachers, the artificial intelligence engineers are the parents that teach the AI system how to work using the data fed into it. They are the ones who build the neural network- the brain of the AI system. Building a neural network is a work of art- it needs patience as well as strong logical prowess.
Upcoming trends
Artificial Intelligence and ML-related technologies are here to stay and flourish. Following are some of the trends that are going to grow beyond 2020:
- Deep learning deals with the development of algorithms known as artificial neural networks. It is done by modelling the structure and functions of the human brain.
- Facial recognition is the future of artificial intelligence and is slated for immense growth.
- Privacy protection and data security are going to garner a lot of attention from AI experts.
- Specialised chips which are capable of expediting AI-enabled applications will be manufactured in more numbers by companies like Intel, AMD, Qualcomm, NVIDIA and ARM.
- Cloud computing will grow bigger and AI will play a pivotal role in it.
AI Certification Courses:
| Advanced Data Science Capstone | Advanced Diploma in Artificial Intelligence |
| AI for Business Leaders | AI for Leaders |
| AI Product Manager | AI Programming with Python |
Also read: Online Artificial Intelligence Courses & Certifications
Job Profiles and Top Recruiters
A quick look on the internet gives us a fair idea of what kind of job profiles AI experts get. Let us understand what these job profiles mean:
Software engineer/AI engineer: The software engineer is the one who builds an ML algorithm (not the ML model) and uses it to build the automated system. He is the one to feed Big-data into the system so as to come up with a coherent pattern. In robotics, the AI engineer, in collusion with other engineers, makes the neural networks and ML model work in a synchronised manner. He is the one who is responsible to make a system that can analyse the fed machine learning algorithms to ‘think’ independently based on the data.
Machine learning engineer: Machine learning is the one that builds models that the AI system consults to come up with a decision of its own. The big data gathered by data scientists is fed to the AI system in an objective way by the ML engineer. He is the one to build the neural networks - the brain of the AI.
Research scientist: AI is a continuously evolving technology. There needs to be continuous research so that AI can graduate from infancy to a full-fledged thinking machine. The role of the research scientist is to fine-tune the ML algorithm, examine how and what data can be fed to the AI system to make it work optimally, increase the decision-making power of the AI, making the neural networks much more advanced and many more
Cloud solutions architect: With the rise of cloud solutions like AWS or Azure, there is a growing tendency towards SaaS or software as a service. It is the duty of the Cloud solutions architect to guide customers in using AI in the cloud platform.
Data scientist: The work of the data scientist is to feed those data in as unbiased a way as possible. In a real-life scenario, a data scientist will look for instances when a customer abandons a cart and analyse the behaviour of the customer. This behavioural pattern is then fed to the AI system to search for a coherent pattern - the reasons for cart abandonment.
Customer Engineer: As a customer engineer, a person will show how cloud-based systems with integrated AI systems can help their business. It is the role of the customer engineer to show the differences between a traditional cloud platform and an AI-powered cloud platform.
Top Recruiters
- Microsoft
- Amazon
- Reliance Jio
- Emotix
- Playshifu
- BYJU’s
Artificial Intelligence is going to spread faster and faster. It will be futile to fight the change. Rather, we must learn everything about AI and make AI-based systems work for us - not the other way around.
Also read: Online Artificial Intelligence Courses & Certifications
Average Salary
A quick search on the job portals will give the candidates a fair idea of what Artificial Intelligence engineers are being offered as a salary. Based on the research done, it is seen that the maximum salary offered to an AI expert is a whopping Rs. 22 Lakh. The minimum salary, on the other hand, hovers between Rs. 3 Lakhs to Rs. 5 Lakhs. The pay package, however, is logically much lower for fresher AI engineers.
The salary of Artificial Intelligence graduates depends on various things, such as a degree or the level of qualifications, and the artificial intelligence college from where the candidate pursued the course. organisation, experience.
Job Profiles | Average Salary |
Software engineer/AI engineer | Rs. 7 LPA |
| Machine Learning Engineer | Rs. 6.3 LPA |
Data Scientist | Rs. 10 LPA |
| Research scientist | Rs. 6.7 LPA |
Cloud solutions architect | Rs. 21.0 LPA |
Data scientist | Rs. 10.0 LPA |
Customer Engineer | Rs. 3.5 LPA |
Also read:
Required Skillset for Artificial Intelligence
A strong sense of logic- Without a strict sense of logic, an AI engineer cannot feed the system with high-quality if-then logics and superior algorithms - the backbone of an AI’s independent thinking capability.
Coding skills- People opt for AI to automate things. And this logic-based automation can only be successful with the successful implementation of high-quality codes. As we all know, Python is the king of automation. So, one needs to be adept in Python.
Patience- When an artificial intelligence engineer builds a neural network, in the first few hundred or even thousand iterations of the same work, the AI will demonstrate poor logical thinking capability. Then, the engineer needs to be patient to wait for the AI to ‘grow.’
People skills: There is a growing concern over the fact that AI is going to take away many jobs. But that would not be the case. The companies would like to have a smooth transition from manual labour to AI robots-based labour. So, if one polishes his soft skills along with studying hard in his AI and ML course, his career can experience a great boost. It is because of this reason that most institutes in India offer people skills in the AI course curriculum.
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Course Curriculum for Artificial Intelligence
Since this is a fairly modern subject that gets evolved and upgraded every passing day, the syllabus varies from university to university. For example, Amrita School Of Engineering includes lessons on drones and robotics in its B.Tech in computer science - artificial intelligence course. On the other hand, Sharda University focuses on soft skills in its B.Tech AI course. The basic course curriculum looks like this.
- Computer Science focused on Mathematics and Physics
- Computer Science focused on engineering
- Common Subjects Taught In Computer Science - Design, Object-Oriented Programming, OS, C, Python, Industry Focused Lessons
- ML, Language Processing, Neural Networks, NLP, Deep Learning
Popular Artificial Intelligence Entrance Exams in India
JEE Main
Application Process: 02 Feb, 2024 - 02 Mar, 2024
JEE Advanced
Application Process: 21 Apr, 2024 - 30 Apr, 2024
GATE
Exam Date: 03 Feb, 2024
MAT
Application Process: 14 Dec, 2023
Popular Artificial Intelligence Colleges in India VIEW ALL
Presidency University, Bangalore
- Fees: ₹ 901,000
- Exams: JEE Main , COMEDK UGET , KCET
Frequently Asked Questions (FAQs)
Question: How many types of Artificial Intelligence?
Answer :
There are four types of AI. They are as follows, limited memory, self-awareness, relative machines and theory of mind.
Question: Is there any demand for Artificial Intelligence?
Answer :
Artificial Intelligence has a high demand in the present days. AI can transform the present scenario of the global economy.
Question: Does Artificial Intelligence require coding?
Answer :
Yes AI requires coding to learn, as it involves different kinds of research work and applying algorithms on a system to make a robot work according to our wish. So, it is important to learn to code for the course of Artificial intelligence.
Question: Is Artificial Intelligence a good subject for a bright career?
Answer :
Yes, definitely Artificial Intelligence is good for a bright career, as there are plenty of jobs for those who are from an AI background. Some jobs for those from AI background are Data Scientist, AI Engineer, etc.
Question: What do you mean by the artificial intelligence course?
Answer :
Artificial Intelligence course is a discipline of artificial intelligence along with machine learning algorithms. This course includes the study of computer science, coding, data science, psychology, etc.
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