Artificial Intelligence (AI) has become central to the global economy, making it one of the most in-demand career paths. According to industry reports, the global artificial intelligence market reached USD 390 billion in 2025 and is projected to grow to USD 3,497 billion in 2033. As companies adopt agentic AI and LLMs, learners are searching for the right Artificial Intelligence course fees and curricula to prepare for AI roles.
In this blog, we provide a breakdown of artificial intelligence course fees in India and abroad. We also cover the core syllabus and highlight the top career opportunities after the course.
Table of Contents:
Why Enroll in an Artificial Intelligence Course in 2026
Artificial intelligence skills are becoming essential across many professional roles. Here is why you should consider enrolling in an AI course:
1. Skill Gap: Companies need AI talent, but few professionals have the right skills. When you learn AI now, you stand ahead of most of the global audience.
2. Higher Salary Potential: Professionals with AI skills earn 30-50% more than those in traditional software or data roles. Companies pay more to people who can implement AI solutions.
3. Job Security: Automation is changing many jobs. When you learn AI, you shift from doing tasks that machines replace to building and managing those systems.
4. Wide Use: Healthcare, finance, marketing, and HR teams use AI tools like Generative AI to work faster and make better decisions.
5. Industry Demand: A large majority of companies are expected to integrate AI into their daily operations. A formal AI certification shows employers that you are ready for this shift.
Artificial Intelligence Course Fees in India
The artificial intelligence course fees in India depend on several factors like the institute, learning mode, program level, and duration. All the programs listed below are delivered in online or hybrid format, making them ideal for working professionals.
Postgraduate Degree Programs in Artificial Intelligence
Advanced programs designed for professionals aiming to master AI and ML concepts, typically with higher AI and ML course fees in India.
Below is the list of the top postgraduate degree programs in AI and their fee structure:
| Course Name | Duration | Course Fee |
| M.Tech in Artificial Intelligence and Machine Learning – Intellipaat | 2 Years | ₹2,75,025 Per Year |
| Executive M.Tech in Applied AI – Intellipaat | 2 Years | ₹2,00,013 Per Year |
| Executive M.Tech in Applied AI & Communications – Intellipaat | 2 Years | ₹2,00,013 Per Year |
| M.Tech Artificial Intelligence and Machine Learning – BITS Pilani | 2 Years | ₹3,18,400 (Total) |
| M.Tech in Artificial Intelligence – XIM University | 2 Years | ₹1,25,000 Per Year |
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Certificate Programs in Artificial Intelligence
Short-term programs are ideal for beginners who want to compare AI course fees and explore flexible AI online courses to gain practical skills quickly.
Here’s a look at the AI certificate course fees for top-rated online programs:
class=”table-responsive”| Course Name | Duration | Total Course Fee |
| Executive Post Graduate Certification in Data Science & Artificial Intelligence – Intellipaat | 11 Months | ₹1,59,030 |
| IITM Pravartak Data Science and AI Course – Intellipaat | 7 Months | ₹85,044 |
| Generative AI Course – Intellipaat | 4 Months | ₹99,009 |
| Executive Post Graduate Certification in Generative AI and ML (For Leaders) – Intellipaat | 3 Months | ₹70,053 |
| Artificial Intelligence Course – Intellipaat | 7 Months | ₹79,002 |
| Artificial Intelligence Program from iHub, IIT Roorkee with Intellipaat | 10 Months | ₹59,999 |
| Certificate Program in Artificial Intelligence for Managers – IIMBx | 10 Months | ₹1,50,000-₹2,60,000 |
| Leadership with AI Programme – ISB Online | 20 Weeks | ₹2,29,900 |
Diploma in Artificial Intelligence
A mid-level option for learners seeking industry-relevant training with moderate artificial intelligence course fees and strong placement potential.
The following table highlights the fees for popular AI diploma programs in India:
Top 5 Factors Affecting Artificial Intelligence Course Fees
The cost of an AI program is not just about the content. It reflects the quality of the learning system. While university degrees usually involve higher investments, short-term online certifications offer a more budget-friendly path to upskilling.
Here are the top five factors that determine the cost of an AI program:
1. Certification Type and Accreditation
The type of certification plays a major role in AI course fees. A basic completion certificate from a learning platform is more affordable than an industry-recognized certification or a university-affiliated PG program that carries academic credits.
2. Program Duration
Longer programs, typically 2-4 years, cost more due to the depth of the curriculum. However, intensive bootcamps that offer condensed learning in 6 months may also command premium fees. This is because they prioritize immediate job readiness.
3. Institution Reputation and Faculty
Programs affiliated with prestigious institutions like IIT or top global universities charge higher fees. These costs reflect the access to world-class faculty, researchers, and an elite alumni network.
4. Learning Mode and Infrastructure
Online AI courses are generally more cost-effective than on-campus programs. For AI specifically, the fee often covers the cost of cloud-based GPU labs and specialized software required to train complex machine learning models.
5. Career Services and Hands-on Projects
Premium AI courses often include capstone projects, real-world case studies, and extensive career support. This includes resume building, mock interviews, and job guarantees. These added services are a major factor in the total price of professional programs.
Artificial Intelligence Course Fees at International Universities
Pursuing an AI degree from a top global university offers exposure to world-class research and global markets. International fees are significantly higher due to tuition, specialized lab access, and a high-performance computing course.
Here is a look at the AI course fees at some of the world’s most prestigious international universities:
| Course Name | University | Duration | Total Course Fees |
M.Sc. in Artificial Intelligence Engineering
| EU Global and Aivancity | 2 Years | ₹7,99,995 |
| Master of Science in Data Science and AI | EU Global | 12-18 Months | ₹4,25,049 |
| M.S. in Artificial Intelligence (AI) Degree | Yeshiva University | 1 Year | Approx. ₹26,90,000 ($30,000) |
| Executive Diploma in Artificial Intelligence for Business | University of Oxford | 1 Year | Approx. ₹41,00,000 (£34,310) |
| MSc Artificial Intelligence | University of Edinburgh | 1 Year | Approx. ₹54,44,000 (£45,410) |
Artificial Intelligence Course Syllabus and Key Subjects
An AI course syllabus mainly focuses on fundamental mathematical and computing concepts, like algorithms, data structures, and logic. Most AI curricula include foundational areas, core AI subjects, advanced topics, and real-life experience.
|
Main Category
|
Topics Covered
|
| Foundational Subjects |
- Mathematics and Statistics: Fundamental math ideas that form the base of AI.
- Calculus: Helps with optimization and training AI models.
- Linear Algebra: Matrices, vectors, and operations used in neural networks and data processing.
- Probability and Statistics: Distributions, inference, and Bayesian methods are used to make predictions and understand data patterns.
- Programming: Java, C++, and Python for building AI systems.
- Database Management: Using SQL and NoSQL to store and manage data.
- Data Structures and Algorithms: Using arrays, linked lists, sorting, searching, and complexity analysis to organize and process data efficiently.
- Computer Architecture and Operating Systems: How software and hardware work together to manage resources.
|
| Core AI Subjects |
- Computer Vision: Teaching machines to read and interpret images and visuals.
- Machine Learning (ML): Using learning methods like supervised, unsupervised, and reinforcement learning to learn from data, find patterns, and make decisions with minimal human intervention.
- Deep Learning (DL): Using multi-layered neural networks such as CNNs and ANNs for image analysis and RNNs for sequential data.
- Natural Language Processing (NLP): Helping computers understand and process human language, mainly covering text analysis and machine translation.
|
| Advanced and Elective Subjects |
- Generative AI: Models that create new content like text, images, and code with AI.
- Robotics and Automation: Combining AI with machines and control systems.
- AI Ethics and Societal Impact: Understanding how AI technologies affect society and their ethical implications.
- Big Data Analytics and Cloud Computing: Working on large datasets with tools like Hadoop, Spark, and cloud-based AI solutions.
|
Apart from learning, practical experience also plays a crucial part in AI education. Hands-on projects using industry tools, frameworks, capstone projects, or internships help students solve real-world problems effectively. Also, when comparing AI course fees across institutions, it is essential to understand the factors that actually determine the total cost.
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Top Career Options in the AI Field and Salaries
Artificial Intelligence (AI) is in high demand across the world, generating massive demand for AI talent across diverse sectors, including finance, automation, retail, healthcare, and technology.
Some of the roles include:
| Role |
Key Responsibilities |
Annual Salary Range |
| AI Product Manager |
Oversees and handles the AI product lifecycle to meet user and business needs. |
₹10-₹43 lakhs |
| AI Engineer |
Designs, develops, and implements intelligent systems using machine learning and AI tools. |
₹3.6-₹33.6 lakhs |
| Data Scientist |
Extracts insights and knowledge from data and builds predictive models. |
₹4-₹29.8 lakhs |
| Machine Learning Engineer |
Designs, builds, and implements machine learning models that help machines learn. |
₹3.5-₹26 lakhs |
| AI Research Scientist |
Designs and develops advanced AI algorithms and machine learning models through research and algorithm development. |
₹4-₹22 lakhs |
| Computer Vision Engineer |
Builds systems that allow computers to interpret and analyze digital images and videos. |
₹3.3-₹22 lakhs |
| Robotics Engineer |
Designs, builds, programs, and maintains physical robots for automation and particular tasks. |
₹2-₹10 lakhs |
Note: Salaries can vary depending on job location, industry type, education, and skills. According to Ambitionbox, the above-mentioned salary is for professionals having an average of 1-6 years of experience.
How to Choose the Right Artificial Intelligence Course?
With plenty of options available, choosing the right program can be overwhelming. To make sure you get the best return on your investment, consider these key factors before enrolling:
1. Define Your Goal
It is important to know whether you are looking for a complete career transition or just upskilling. If you are a beginner, look for courses that cover Mathematics and Python from the start. If you are an experienced professional, choose specialized programs in Generative AI, NLP, or Computer Vision.
2. Check for Hands-on Projects
AI cannot be mastered through theory alone. Make sure the course includes Capstone projects using real-world datasets. Best AI courses should provide access to Cloud-based GPU labs to help you practice training Large Language Models (LLMs).
3. Verify Industry Recognition and Faculty
Check for courses affiliated with reputable institutions like IITs or IIMs. Verify whether the mentors are industry practitioners who can provide practical insights.
4. Evaluate the Placement Support
If your goal is to get a new job, verify the track record of the program. Like, does the institute offer resume building, mock interviews, and a dedicated job portal facility? Always look for programs that have a high career transition rate within six months of completion.
5. Compare the Fee and Worth
Do not choose a course only because it has lower fees. Compare the Artificial Intelligence courses’ fees against the duration, curriculum depth, and lifetime access to materials. Many platforms like Intellipaat offer No-Cost EMI options, making high-quality education more accessible.
The Future of AI Careers
The future of jobs in AI is growing very fast, changing how we work across all industries. Instead of machines completely replacing people, the trend is about humans and AI working together to do more and better work. Many new jobs are being created in building, managing, and fixing AI systems. We need people who can be AI engineers, data scientists, and managers who make sure AI is used fairly.
The most important skills will be a mix of computer knowledge (like programming) and human abilities (like solving hard problems, being creative, and making ethical choices). Because technology is changing so quickly, everyone needs to keep learning new things throughout their careers. The future workplace will involve a strong partnership between people and AI, offering many new opportunities for those who can adapt.
How Intellipaat Helps You Grow in Your AI Career
For learners looking to advance in the AI field, Intellipaat provides structured AI programs with hands-on training and career guidance. We have trained more than 3 lakh learners, and 75% of them changed or improved their careers within 6 months of joining. Along with this program, you can explore our free AI course to build your skills. You will also get personal career guidance and practical training to help you move ahead confidently.
The Bottom Line
Learning artificial intelligence can open many doors for your career. The key is to choose a course that matches your goals, teaches both theory and real-world skills, and gives you hands-on experience. AI is growing fast, and those who keep learning will always stay ahead. So, take the time to pick the right program, build real projects, and start your journey toward a strong future in AI.
Artificial Intelligence Course Fees – FAQs
Q1. Are AI courses worth the money?
Yes, the strong demand and high salaries in the AI field provide a high return on investment for quality educational programs.
Q2. Do I need a computer science degree to get into AI?
No, you do not need a computer science degree to get into AI. While a CS background helps, many boot camps and master’s programs accept students from various quantitative fields (math, statistics, engineering) if they have the necessary foundational skills.
Q3. What is the most important skill for an AI professional?
The most important skill for an AI professional is the ability to solve problems, combined with strong programming skills (especially Python) and a solid understanding of statistics and mathematics.
Q4. Is learning AI suitable for someone without a coding background?
It can be challenging, but it is possible. Many introductory AI courses and boot camps are designed to teach foundational programming (usually Python) from scratch. You will need strong logical and mathematical skills, but specific coding experience is not a strict requirement for starting your learning journey.
Q5. How do AI course fees in India compare to those abroad?
AI courses in India are significantly more affordable than those in countries like the USA, UK, or Canada.
India: Fees for short-term online certification typically range from a few thousand to over ₹45,000, while PG programs and B.Tech degrees can range from ₹1,50,000-₹4,00,000 per year.
Abroad (USA/UK/Canada/European Countries): One-year Master’s fees can range from approximately ₹1.8-₹36.6 lakhs per year, with some European countries offering lower costs or scholarships, while tuition for a BSc can be over ₹6 lakhs per year.
Q6. How long does it take to become job-ready in the AI field?
A university degree can take 2-4 years. Intensive boot camps or dedicated self-study might make you entry-level job-ready in 6 to 12 months. The duration depends heavily on how quickly you understand complex mathematical and programming concepts and how much time you dedicate to practical projects.