Artificial Intelligence Course Details - Fees, Subjects, Syllabus, Duration, Eligibility, Career Scope
Degrees offered: B.E /B.Tech, B.Sc., M.Sc., M.E /M.Tech., B.Sc.(Hons)
What is Artificial Intelligence
Artificial Intelligence courses are designed to impart knowledge on various topics in AI, including machine learning, deep learning, natural language processing, computer vision, robotics, and data analytics. Pursuing a career in Artificial Intelligence can lead to success, as AI will be required in development, research, intelligent automation, healthcare, maintenance, sales, and various other industries.
There are many career options available for candidates who graduate with an Artificial Intelligence degree, such as Machine Learning Engineer, Data Scientist, and AI Research Scientist. For admission to UG courses, students are required to complete their Class 12 with PCM from a recognised board; similarly, for a postgraduate course, they need a Bachelor’s degree in a relevant discipline.
Highlights - Artificial Intelligence
| Particulars | Values |
|---|---|
Branch Name | Artificial Intelligence |
Degrees | UG: B.Tech in Artificial Intelligence, B.Sc in Artificial Intelligence PG: M.Tech in Artificial Intelligence, M.Sc in Artificial Intelligence |
Duration | UG: 4 years (B.Tech) and 3 years (BSc) PG: 2 years |
Admission Process | UG: Entrance Exam & Merit-Based PG: Entrance Exam & Merit-Based |
Entrance Examination | UG: JEE Main, JEE Advanced, CUET UG, KEAM, AP EAMCET, University-specific entrance test PG: GATE, CUET PG, AP PGECET, University-specific entrance test |
Eligibility Criteria | UG: Class 12 with PCM PG: Bachelor's Degree in AI, CSE, IT, Data Science, or Related Field |
Course Fee | Rs. 9,200 to Rs. 17.0 lakhs |
Career options | Generative AI Engineer, Machine Learning Engineer, Data Scientist, AI Research Scientist, Robotics Engineer, AI Consultant, AI Engineer, Prompt Engineer, Natural Language Processing (NLP) Engineer, Computer Vision Engineer, Genera |
Average Salary | Rs. 6-18 LPA (Based on Profile & Experience) |
Specialisation or Similar Ones
Artificial Intelligence is a broad term, and many courses can be pursued in this specialisation. Courses can be pursued at the undergraduate level and postgraduate levels to gain knowledge of Artificial Intelligence. The courses are mentioned below:
B.Sc Artificial Intelligence | M.Tech Artificial Intelligence |
M.Sc in Artificial Intelligence | PGD in Artificial Intelligence & Data Science |
M.Tech AI & Data Science | PG Diploma in AI |
Top Artificial Intelligence Colleges in India with Fees
Artificial Intelligence Courses are offered by numerous universities and colleges. The fee for Artificial Intelligence is primarily based on the degree programme chosen by the student, as well as the type and location of the college. Below is a list of some of India's top colleges offering Artificial Intelligence courses, along with their respective fees:
| Colleges | Fees |
|---|---|
Rs. 6.32 Lakhs | |
Rs. 5.56 Lakhs | |
Rs. 3.28 Lakhs | |
Rs. 1.72 Lakhs | |
Rs. 2.80 Lakhs | |
Rs. 1.97 Lakhs | |
Rs. 9,200 | |
Rs. 44,600 | |
Rs. 3.05 Lakhs | |
Rs. 2.19 Lakhs |
Note: The fee structure provided above can be for any particular Artificial Intelligence course (Diploma/ Degree/PGD).
Top Private Artificial Intelligence College with Fees
Several private universities and colleges in India offer Artificial Intelligence courses. Admission is granted based on previous academic performance and the results of entrance examinations. The table below provides a list of some of the best private colleges in India that offer Artificial Intelligence courses, along with their respective fees:
| Colleges | Fees |
|---|---|
Rs. 25.30 Lakhs (B.Tech in AI & Data Science) | |
Rs. 19 Lakhs (B.Tech in AI) | |
Rs. 7.53 Lakhs (B.Tech in Robotics & AI) | |
Rs. 2.26 Lakhs | |
Rs. 11.40 Lakhs (B.Tech in AI & Data Science) | |
Rs. 5.02 Lakhs | |
- | |
Rs. 1.72 Lakhs (B.Tech in AI) | |
Rs. 2.4 Lakhs | |
Rs. 2.40 Lakhs |
Top Government Artificial Intelligence Colleges in India with Fees
Many government universities and colleges in India offer Artificial Intelligence courses. Admissions to these courses are determined based on previous academic achievements and entrance examination scores. The table below lists some of the best government colleges in India that offer Artificial Intelligence courses, along with their respective fees:
| Colleges | Fees |
|---|---|
Rs. 68,200 (M.Tech in AI) | |
Rs. 10.61 Lakhs (B.Tech in AI) | |
Rs. 5.88 Lakhs (B.Tech in AI) | |
Rs. 54,650 (M.Tech in AI) | |
Rs. 9.60 Lakhs (B.Tech in AI) | |
Rs. 1.46 Lakhs (M.Tech in AI) | |
Rs. 9.67 Lakhs (B.Tech AI & Data Science) | |
Rs. 1.67 Lakhs (M.Tech in AI) | |
Rs. 1.69 Lakhs (M.Tech in AI) | |
Rs. 6.79 Lakhs (B.Tech in AI) |
Eligibility Criteria (UG & PG) of Artificial Intelligence
Before applying for admission, the candidates must check the eligibility criteria of the preferred institution. Generally, for an undergraduate course, the candidate is required to complete Class 12 in the science stream; similarly, for a postgraduate course, the candidate requires a Bachelor’s degree in a relevant discipline.
Eligibility Criteria for UG Courses
The eligibility criteria for an Artificial Intelligence course at the undergraduate level depends on the institute. Students can check the eligibility requirements by visiting the official website of the chosen institute and scoring a valid score.
Students need to complete Class 12 from a recognised board.
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 (at least 50 per cent aggregate marks).
Proficiency in mathematics, including knowledge of algebra, calculus, and probability theory, is required.
Admissions are offered based on the university/state/national-level entrance exam or merit.
Top Entrance Exams for UG Courses
Many top national-level and state entrance examinations are conducted for admission to India's top engineering institutes. Some important examinations are mentioned below:
| Exam Name | Level | Conducting Body | Exam Schedule |
|---|---|---|---|
National | NTA | ||
National | IIT (Conducting Institute) | ||
State | JNTU Kakinada | ||
State | Commissioner for Entrance Examinations | ||
National | NTA | CUET UG Exam Schedule |
Eligibility Criteria for PG Courses
The eligibility requirements for a postgraduate course in Artificial Intelligence may vary depending on the institution but there are some general eligibility requirements required by every institute. These eligibility requirements play a vital role in the admission process of the Artificial Intelligence course. Mentioned below are the important eligibility requirements for a PG course:
Students should complete a bachelor's degree in a relevant field, such as computer science, mathematics, engineering, AI or a related discipline.
They need to meet the minimum academic performance criteria set by the institution.
Some institutions may require students to have prior knowledge or coursework in artificial intelligence, machine learning, or related subjects.
Top Entrance Exams for PG Courses
Those who are interested in pursuing a postgraduate degree in Artificial intelligence are required to appear for the respective entrance exams. Popular entrance exams are as follows:
| Exam Name | Level | Conducting Body | Exam Schedule |
|---|---|---|---|
National | IITs and IISc | ||
State | Sri Venkateswara University Tirupati | AP PGECET Exam Schedule | |
CUET PG | National | NTA | CUET PG Exam Schedule |
College Predictors VIEW ALL
Scope of Artificial Intelligence in India and Abroad
The scope of Artificial Intelligence in India is very vast and promising; with advancements in technology, more adoption of Generative AI, and LLMs, Artificial Intelligence has become a crucial part of many industries such as healthcare, finance, education, IT, and e-commerce. This has led to a surge for qualified and skilled AI professionals, which makes it a promising and high-demand career choice.
Many big companies such as Amazon, Google, and Meta have already started implementing AI technology and tools. The demand for AI (and hence AI experts) will increase phenomenally. Especially in the initial years, the demand will be greater than the supply. The same case is for countries outside India.
Course Fees Artificial Intelligence
| Minimum Fees | Maximum Fees | |||
|---|---|---|---|---|
| Private | Government | Private | Government | |
| UG |
---
Data not available
|
12.88 K
B.Sc.(Hons) in Artificial Intelligence at Central Tribal University of Andhra Pradesh, Vizianagaram
|
64.00 Lakhs
BS in Artificial Intelligence at Illinois Institute of Technology, Mumbai Campus
|
20.00 Lakhs
BS in Artificial Intelligence at Indian Institute of Management Lucknow
|
| PG |
---
Data not available
|
---
Data not available
|
30.00 Lakhs
M.S in Artificial Intelligence at Illinois Institute of Technology, Mumbai Campus
|
8.50 Lakhs
M.E /M.Tech. in Artificial Intelligence at Indian Institute of Technology Madras
|
| DOCTORAL |
2.50 Lakhs
Ph.D in Artificial Intelligence at Anurag University, Hyderabad
|
---
Data not available
|
5.00 Lakhs
Ph.D in Artificial Intelligence at Woxsen University, Hyderabad
|
---
Data not available
|
| DIPLOMA |
28.90 K
Diploma in Artificial Intelligence at Nelson Business School, Hyderabad
|
8.00 K
Diploma in Artificial Intelligence at Madhya Pradesh Bhoj Open University, Bhopal
|
2.35 Lakhs
Diploma in Artificial Intelligence at Haider Institute of Technology and Management, Ranchi
|
3.12 Lakhs
Diploma in Artificial Intelligence at Shri Vishwakarma Skill University, Gurugram
|
Course Subjects
Artificial Intelligence Course Subjects/Syllabus for UG Course
The undergraduate degree programme in Artificial Intelligence (AI) equips students with comprehensive knowledge of AI techniques. The curriculum typically includes courses such as Introduction to AI, Machine Learning, Natural Language Processing, Computer Vision, and Robotics. The syllabus for the B.Sc.Computer Science (Artificial Intelligence) programme at Madurai Kamaraj University is mentioned below:
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 Responsible AI 2. Digital Image Processing 3. Generative AI | 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 for AI 2. Generative AI & Large Language Modules 3. Cloud Computing for AI |
Project Work / Viva-Voce | Introduction to the 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 is the postgraduate Artificial Intelligence course syllabus.
Semester 1 | |
Artificial Intelligence and Intelligent Systems | Machine Learning |
Natural Language Processing | Advanced Mathematics for AI |
Responsible AI & Ethics | AI-based Programming Lab |
Semester 2 | |
Deep Learning | Big Data Analytics |
Speech Information Processing | Computer Vision |
Reinforcement Learning | Deep Learning and Data Analytics Lab |
Semester 3 & Semester 4 | |
Generative AI (Semester 3) | Large Language Modules (Semester 3) |
MLOps (Semester 3) | Explainable AI (Semester 3) |
AI Project Seminar (Semester 3) | M.Tech Dissertation (Semester 3 and Semester 4) |
Careers in Artificial Intelligence
AI Developer
Data Scientist
Software Engineer
Machine Learning Engineer
Artificial Intelligence Engineer
Artificial Intelligence (AI) courses offer a wide array of career opportunities; industries are now increasingly integrating AI into their operations. Roles such as AI Specialists, Data Scientists, and Machine Learning Engineers are in high demand. These professionals are tasked with developing and implementing AI models to solve complex business problems. Some of the career options are:
Job Profiles | Job Description |
Generative AI Engineer | Generative AI Engineers are professionals who build applications using AI agents, LLMs, and generative artificial models. They create smart systems for conversational AI, generating content and automation. |
ML Engineer | Machine Learning Engineers are responsible for researching, building, and designing artificial intelligence systems. They create AI Algorithms and work as part of a larger data science team. |
Data Scientist | Data Scientists are professionals responsible for collecting, analysing, and interpreting data. 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. |
AI Engineer | AI Engineer designs, develops, and implements AI solutions and systems. They combine data engineering, data science, and software development skills. |
Upcoming trends
With advancements in technology, there is an emerging field of AI. The AI is already working and will work in every field. As AI becomes more and more prevalent, people are becoming more conscious of the ethical issues surrounding AI technologies. Making AI models more comprehensible to humans is the goal of AI, as this is essential for user trust, accountability, and regulatory compliance. These trends will definitely flourish in the near future. Almost all industries are facing a major shift due to the rising trends of AI Agents, Robotics assisted by Artificial Intelligence, and Cloud-based AI.
Job Profiles and Top Recruiters
Amazon.com Inc. Facebook Inc. Google LLC Microsoft Corporation Reliance Jio Infocomm LimitedArtificial Intelligence graduates can work in various domains, including Technology Companies, Research Institutions, Healthcare, Finance, Manufacturing, Robotics, Automotive, and Cybersecurity. The choice of career depends on the candidate’s preference, skills, and aptitude. After the AI course, students can work as an AI Engineer, AI Research Scientist, Generative AI Engineer, Data Scientist, Machine Learning Engineer, and many other roles.
Average Salary
AI-related jobs are highly demanding now and have become one of the highest-paid professions in India. Students must know the salary of some of the in-demand careers in the field of Artificial Intelligence before applying for the job role. Salary varies based on the location of the company, the skills and resume of the candidate, and the job role opted by the candidate. Mentioned in the table are the average salaries:
| Job Profiles | Average Salary |
|---|---|
AI Engineer | Rs. 12 LPA |
Machine Learning Engineer | Rs. 11 LPA |
Data Scientist | Rs. 14 LPA |
Computer Vision Engineer | Rs. 10.5 LPA |
Generative AI Engineer | Rs. 15 LPA |
NLP Engineer | Rs. 11.5 LPA |
Source: AmbitionBox
Note: The salary may vary depending on various factors.
Required Skillset for Artificial Intelligence
Artificial Intelligence like any other field requires certain skills and students must possess these skills to perform well in their academics as well as in their future careers. Candidates require a blend of practical as well as theoretical skills to do well in their careers. Mentioned below are some important skills in the field of Artificial Intelligence:
- Basics of Machine Learning
- Coding Aptitude and Programming Skills (Python, C++ or Java)
- Analytical Skills
- Basics of NLP
- Teamwork & Deep Learning Fundamentals
- Data Structures & Algorithms
- Statistics and Mathematics
Course Curriculum for Artificial Intelligence
The Artificial Intelligence (AI) course provides students with in-depth knowledge of both basic and advanced concepts of machine learning, NLP, LLMs, and data science. The course provides students with knowledge of both fundamental and advanced concepts. The course curriculum includes topics such as Generative AI, Data Structures, Programming, Algorithms, IoT, Cloud Computing, DBMS, and AI Ethics.
Students who complete the Artificial Intelligence (AI) undergraduate degree programme will have a thorough understanding of AI methodologies and emerging AI technologies. The course programme provides in-depth knowledge of topics such as AI, Machine Learning, Computer Vision, Natural Language Processing, and Robotics, which are commonly included in the curriculum.
Popular Artificial Intelligence Entrance Exams in India
Popular Artificial Intelligence Colleges in India VIEW ALL
COEP Pune
- Fees: ₹ 218850
Chandigarh University
- Fees: ₹ 226000
- Exams: Chandigarh University (CUCET)
Jamia Hamdard, New Delhi
- Fees: ₹ 973000
- Exams: JEE Main
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 is a disciplinary course with machine learning algorithms. This course includes the study of computer science, coding, data science, and psychology.
