AI has made a mark in the Indian business market now. It leads to emergence of diverse options for students, graduates and working people. Activities related to AI are being put into practice in various industries – from health organisations to business firms. Companies are looking to turn to AI solutions in order to automate processes, analyse the data collected and enhance customer experience.
By 2026, numerous educational institutions and online educational organisations have developed their programs in AI such as Python, machine learning, deep learning, and generative AI. The choice of the right program depends on the academic level of the person taking the program and his/her needs.
1. The SWAYAM Plus AI program at IIT Madras.
The college offers basic AI courses on the SWAYAM Plus platform, such as AI for All and a range of those related to educational AI. In addition to this, a good number of courses are available to anyone with no restrictions on their qualifications.
2. The Executive Postgraduate Diploma in AI and Data Science at IIT Bombay.
Executive Postgraduate Diploma in AI and Data Science is offered by IIT Bombay to individuals who are keen on acquiring the technical skills needed for this subject. It includes subjects such as machine learning, deep learning and applications of generative AI in the real world. Using its blended format, candidates need to apply the theoretical concepts learned through their tutorials to their other activities and assignments.
3. IITM Pravartak Programs on AI and Machine Learning:
IITM Pravartak teaches professionals about the development of AI and machine learning through partnerships with educational institutions.
Depending on the course, learners can study the Python language, deep learning, NLP, computer vision and generative AI.
Some courses provide an introduction to prompt engineering along with the development of applications based on large language models.
Such courses are highly relevant for those learners who seek practical applications of AI.
4. IIT Guwahati Bachelor of Science in Data Science and AI:
IIT Guwahati provides a Bachelor of Science in Data Science and Artificial Intelligence through online courses.
Unlike short-term certification courses, this degree program is designed to provide an undergraduate pathway in mathematics, programming, statistics, and AI.
The students learn theoretical knowledge through structured academic courses and practical tasks.
The purpose of this program is to give students a complete bachelor’s education, not just a short-term diploma.
5. IIT Jodhpur Bachelor of Science in Applied AI and Data Science:
IIT Jodhpur provides an undergraduate course in applied artificial intelligence and data science. This course covers programming, mathematics, machine learning, and practical applications.
The students have the opportunity to receive experience of working with datasets, creating predictive models, and getting information on how intelligent systems operate.
The purpose of this program is to offer students a structured learning path in order to prepare them for a career or further study in the domain of AI.
6. NPTEL Artificial Intelligence and Machine Learning Courses
NPTEL provides online courses crafted by teaching staff from IITs and renowned Indian educational institutions.
Students have the opportunity to learn about basic concepts of artificial intelligence, machine learning, artificial intelligence, deep learning, natural linguistics, etc.
A number of programs offer free learning materials and optional paid certification exams.
NPTEL is particularly well-suited for college students wishing to work on their engineering base without taking an expensive course.
7. DeepLearning.AI Machine Learning Specialisation:
Machine Learning Specialisation developed by Andrew Ng is available through Coursera.
This course gives insight into the principles of supervised learning, unsupervised learning, neural networks, and machine learning in general.
Students are given programming tasks and learn how to apply different algorithms using practical skills in solving real-world problems.
The course followed a self-paced structure, thus allowing students dealing with their studies together with college or work studies.
8. Google AI Essentials:
Google AI Essentials explains the concepts of artificial intelligence and how it can be applied.
The course centres on the effective use of AI software solutions, creating smarter work processes, and mastering ethical practices.
This is especially useful for students and practitioners hoping to utilise artificial intelligence solutions for their daily tasks without delving into complicated math and programming right away.
Nevertheless, going through an introductory course alone can’t equip one for specialised AI engineering roles.
How to Select Online AI Courses
When choosing an AI course, candidates need to consider course content, prerequisites, duration, practical task requirements, and certificates.
Newcomers to the field may benefit from introductory courses to Python and machine learning basics. Experienced developers may choose advanced training with deep learning, generative AI, and model usage being part of the course.
Before making any payments, it is necessary to check the accreditation of the learning institution, grading methods, terms for returning money in case of cancellation and any promises of career assistance.
My personal favourite aspect of taking AI courses is the combination of theory and practice.
I always look for classes that involve projects where students can test their acquired knowledge and come up with something applicable in real life. For instance, this field includes such projects as the development of apps for people with disabilities, systems of assistance in the sphere of healthcare, and intelligent recommendation systems. Having dealt with important projects gives me a chance to apply my knowledge outside the classroom. By the way,
To sum up,
AI courses can be taken by people of different backgrounds, starting from beginners and university students and finishing with experienced specialists in 2026. This professional development starts from taking basic online courses and ends with getting different certificates in the area of AI; based on their needs and financial possibilities, everyone can choose from a variety of online programs. Prerequisites for success in the field are having programming skills, obtaining relevant practical experience, and updating knowledge on regular basis.
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