With the increasing adoption of technologies in the global society, the most revolutionary phenomenon today is Artificial Intelligence. These technologies bring automation of routine operations and state-of-art problem-solving to industries and modify the ways people use technology. This coupled with the fact that India is fast emerging as a leading country for technology professionals the demand for artificial intelligence experts is peaking in the region. From car manufacturing industries to hospitals, banking and many other sectors, there has never been a better time to venture into artificial intelligence.
Whether you are a student keen to start this promising career, a professional who wants to fill the seen and unseen gaps in your skill set, or an entrepreneur who wants to introduce changes to your business, deciding what AI course to take next is the key to success. In this blog, the 10 top Artificial Intelligence Courses in India will be introduced, with their features and relevant advantages to help you make the right choice and embrace the future bravely.
Why Study AI?
Job Market Demand
Employment of AI skills is becoming popular in different fields and industries need AI experts, the current supply meets this demand, offering many available opportunities. Businesses seek not only data science specialists but also individuals willed incorporate AI applications into respective organizational frameworks.
Interdisciplinary applications
With its principles, AI is a broad concept of its own and can be implemented in different fields including robotics, NLP, computer vision and many more. Previously, this versatility enabled a person to select his or her career depending on the most favoured facet of the job.
Innovation and Creativity
The nature of work in AI gives one the chance to be involved in the development process at a very junior level. You will have opportunities to design and develop interventions that potentially can add value to people’s lives in countless ways – from increasing the effectiveness of medical treatments to increasing the satisfaction of consumers. Cognitive creativity in this field seems to be endless.
Lucrative Salaries
Several job openings in AI are highly paid by most companies. From several reports across industries, it was found that the professionals in AI earn better and outcompete other professionals in other subdomains of technologies.
Future-Proof Your Career
As it is seen that AI has become part of different fields to automate business processes it can be guaranteed that knowing about AI can guarantee employment in the respective field. Holders of AI skills will always be relevant in the job market as technology advances, given it is consistently changing then the need for individuals skilled in artificial intelligence will never go out of fashion.
Explore some popular AI Recruiting Tools.
Top 10 Artificial Intelligence Courses in India
1. Post Graduate Program in Artificial Intelligence and Machine Learning
This is one of the best Artificial Intelligence courses in India. This is mainly made for people who want to be good in AI, as it focuses greatly on foundational concepts and advance technologies in AI and mahine learning. The main topics that they provide are which include supervised learning, deep learning and natural language processing. It is provided with great support from the industry mentors and career guidance, students are prepared greatly to enter the competition further.
Key Features:
- Comprehensive curriculum covering machine learning, deep learning, and NLP.
- Mentorship and career support.
- Industry-relevant projects.
Course Module:
- Introduction to AI and ML
- Supervised learning Techniques :
- Clustering Techniques
- Deep Learning Fundamentals
- Natural Language Process (NLP)
- Model Assessment and Selection
- Industry Project and Case report
Duration: 11 months
Institution: IIIT Bangalore (UpGrad)
Pricing Structure: Approx. ₹3,00,000 – ₹5,00,000
Placement: Yes, strong placement support with industry connections.
Eligibility: Bachelor’s degree in any field; background in programming is preferred.
Entrance Exam: No specific entrance exam required.
Website: https://www.upgrad.com/
Rating: 4.5/5
2. Master’s in Artificial Intelligence
This Master’s program is offered by IIT Delhi and shows how the theoretical concepts of artificial intelligence work in practical cases. They listen to lectures on robotics, machine perception and algorithms and undertake group projects with business, education and nonprofit organizations. The program promotes creativity and new ideas while at the same time providing students with the opportunity to solve traditional tasks with the help of modern AI tools. Keep growing a new generation of scholar leaders in the field showcasing both the knowledge and competencies to take AI to the next level.
Key Features:
- Collaboration with industry leaders.
- Focus on innovative AI projects.
- Research-driven curriculum.
Course Module:
- Foundations of AI
- Robotics and Automation
- Machine Learning Algorithms
- Computer Vision
- Machine Perception
- Advanced AI Techniques
- Group Projects with Industry Partners
Duration: 2 years
Institution: IIT Delhi
Pricing Structure: Approx. ₹10,00,000 – ₹15,00,000 for the entire program
Placement: Yes, placement support and opportunities through IIT Delhi’s network.
Eligibility: Bachelor’s degree in engineering or science; GATE scores may be required for admission.
Entrance Exam: GATE (Graduate Aptitude Test in Engineering) is preferred.
Website: http://www.iitd.ac.in/
Rating: 4.8/5
3. AI and Machine Learning Bootcamp
It is another one of the best popular Artificial Intelligence courses in India. The Simplilearn’s bootcamp detailed below is ideal for anyone seeking to gain a quick mastery of Artificial Intelligence and machine learning. It focuses on important knowledge and instruments and gives the participants practical skills working on projects in a similar environment. CV Participants learn to code in Python and R, study basic notions about Machine Learning algorithms, and build neural networks. The boot camp covers materials very fast and is designed to promote teamwork and networking; by the time the students are through with the boot camp, they are set for AI-related positions.
Key Features:
- Hands-on projects in Python and R.
- Focus on machine learning algorithms.
- Immediate industry application.
Course Module:
- Overview of the programming languages: Python and R
- Machine Learning Basics
- Deep Learning Concepts
- Neural Networks
- Real-world Use of ML Algorithms
- Projects and Teams
Duration: 6 months
Institution: Simplilearn
Pricing Structure: Approx. ₹1,00,000 – ₹2,00,000
Placement: Yes, with career services and job placement assistance.
Eligibility: No specific educational requirement; basic programming knowledge is beneficial.
Entrance Exam: No entrance exam.
Website: https://www.simplilearn.com/
Rating: 4.2/5
4. Professional Certificate in AI and Deep Learning
This professional certificate program in Artificial Intelligence is delivered through IBM via edX and covers the basics and the more advanced levels of AI with special emphasis on deep learning. Users get a mastery of using IBM’s AI tools for creating and implementing models. The topics that the curriculum addresses are crucial features such as convolutional neural networks, recurrent networks, and natural language processing. By solving assignments, the students develop skills through practical projects, thereby creating human capital for the AI/Data scientists job market.
Key Features:
- Practical experience with IBM tools.
- Focus on real-world applications.
- Industry-relevant projects.
Course Module:
- Introduction to AI
- Deep Learning Basics
- CNNs or Convolutional Neural Networks
- Recurrent Neural Networks
- Samples of topics using NLP
- Hands on projects with IBM tools
Duration: 3-6 months
Institution: IBM (edX)
Pricing Structure: Approx. $200 – $1,000 (depending on the course structure)
Placement: Job assistance provided, but not guaranteed.
Eligibility: Basic understanding of programming and statistics; suitable for beginners.
Entrance Exam: No entrance exam.
Website: https://www.edx.org/
Rating: 4.4/5
5. Artificial Intelligence for Business
Available for business people, this Udacity course provides an understanding of how AI can influence change across businesses. It enables participants to discover, strategise, and evaluate AI prospects and to derive enhanced organisational performance from the use of AI technologies. As a result of cases and examples, it is strongly focused on the application of AI and strategic vision for the successful implementation of AI solutions for business leaders.
Key Features:
- Case studies on AI applications in business.
- Practical insights for decision-making.
- Focus on strategic integration of AI.
Course Module:
- Introduction to AI and Its Uses
- Strategic Planning for AI
- Sample use cases of AI in Business
- Decisionality in AI
- Evaluating the Effects of aI on Business Outcomes
Duration: 1 months
Institution: Udacity
Pricing Structure: Approx. $399 – $999
Placement: Job assistance offered but not guaranteed.
Eligibility: No specific requirements; suitable for business professionals and leaders.
Entrance Exam: No entrance exam.
Website: https://www.udacity.com/
Rating: 4.3/5
6. Certificate in Artificial Intelligence and Machine Learning
This certificate program offered at Great Learning will give the right combination of theoretical and hands-on learning for Artificial intelligence and machine learning. Working on projects, learners discover multiple facets of artificial intelligence and different approaches to data analysis as well as various machine learning algorithms. The program focuses on the employment of industry professionals as instructors since the participants get to learn what is current in the market concerning the use of AI. Graduates are equipped with skills needed in the AI industry to enable them to fit the various positions available in the market.
Key Features:
- Great mentorship and project
- Syllabus helpful in industry
- More practical learning
Course Module:
- Introduction to AI and ML
- Data cleaning and Data preprocessing
- Machine Learning Algorithms
- Deep Learning Techniques
- Projects and Cases
- Industry Trends in AI
Duration: 6 months
Institution: Great Learning
Pricing Structure: Approx. ₹50,000 – ₹1,00,000
Placement: Placement assistance provided.
Eligibility: Bachelor’s degree; familiarity with programming and statistics is helpful.
Entrance Exam: No entrance exam.
Website: https://www.mygreatlearning.com/
Rating: 4.5/5
7. M.Sc. in Data Science with AI Specialization
This is a master’s degree program in data science offered by the University of Mumbai focusing also on artificial intelligence. Through the academic program, there is an understanding of data analysis, machine learning and artificial intelligence. The program supports research and practical initiatives to enable learners to address different data-related issues in different industries. Employers in industries that deem data analysis capabilities and AI necessities crucial are well-positioned with graduates to thrive in them.
Key Features:
- Interdisciplinary approach.
- Focus on machine learning and analytics.
- Research and project opportunities.
Course Module:
- Client research Statistics and Data Analysis
- Machine Learning Methods
- Principles and Techniques of AI
- Introduction to Data Mining and Visualization
- Research Methodology
- Managing Big Data with the Integration of Data Mining in OBIS: Capstone Project in Data Science
Duration: 2 years
Institution: University of Mumbai
Pricing Structure: Approx. ₹1,00,000 – ₹2,00,000 per year
Placement: Yes, with university placement support.
Eligibility: Bachelor’s degree in science or engineering; entrance exams may vary.
Entrance Exam: University entrance exam or other relevant tests may apply.
Website: https://mu.ac.in/
Rating: 4.2/5
8. AI for Everyone
Presented by Coursera in collaboration with deeplearning.ai, this course will offer a conceptual approach to understanding AI without requiring much technical content. The curriculum includes basic and functional concepts of AI, and an overview of industries that can benefit from AI, and ethical issues concerning the use of intelligence knack. The students which are enrolled are given with various skills which are needed in the AI industry to enable them to fit the competition available in the market.
Key Features:
- Great introduction to AI
- Good for non-technical people
- Read world applications of AI
Course Module:
- Introduction to AI Concepts
- The History of AI Implementation in Different Sectors
- Ethical Implications of AI
- AI Tools and Technologies
- Real-World Use Cases of AI
Duration: 4 weeks
Institution: Coursera (deeplearning.ai)
Pricing Structure: Approx. $49 (Coursera subscription may apply)
Placement: No direct placement assistance.
Eligibility: No prerequisites; open to all.
Entrance Exam: No entrance exam.
Website: https://www.coursera.org/
Rating: 4.6/5
9. Artificial Intelligence: Business Strategies and Applications
MIT Sloan offers this course specifically directed at how firms can strategically apply AI across organizations. The participants can discuss how these AI technologies can be utilized to generate business value and increase organizational performance. The topics of the curriculum include the definition of opportunities in AI, the creation of strategic approaches, and ethical issues. Combined with topical discussions and professionals’ input, the participants have an understanding and a set of tools on how to develop viable AI strategies that may support the organisational agenda and are ready to lead AI initiatives.
Key Features:
- Identification of AI opportunities.
- Development of AI strategies.
- Insights from industry experts.
Course Module:
- Understanding of the Opportunities in AI
- Developing AI Strategies
- Implementing AI Solutions
- Case Studies and Insights of the Industry
- Ethical and Social Implication of AI
Duration: 6 weeks
Institution: MIT Sloan (online)
Pricing Structure: Approx. $3,000 – $5,000
Placement: Job assistance provided, but not guaranteed.
Eligibility: Professionals in management or business; no specific educational requirement.
Entrance Exam: No entrance exam.
Website: https://exec.mit.edu/s/
Rating: 4.7/5
10. Advanced Certification in Artificial Intelligence
Jigsaw Academy develops an advanced certification in Artificial Intelligence and Machine Learning that is based heavily on project assignments. They solve realistic and tangible problems while making use of activities that meet the demands of business organizations. Major areas of study include deep learning, reinforcement learning and AI ethics hence making sure that the students acquire as much knowledge in AI technologies as possible before they graduate. This increases the job options and also provides the students with great foundation.
Key Features:
- Case studies related to industry
- Hands-on experience in AI.
- Comprehensive curriculum.
Course Module:
- Deep Learning Fundamentals
- Reinforcement Learning
- AI and Ethics and practice
- Case Studies in AI Applications
- Projects Implementation and Real-Life Scenarios
Duration: 6 months
Institution: Jigsaw Academy
Pricing Structure: Approx. ₹50,000 – ₹1,00,000
Placement: Placement assistance available.
Eligibility: Bachelor’s degree; prior knowledge of programming is beneficial.
Entrance Exam: No entrance exam.
Website: https://www.jigsawacademy.com/
Rating: 4.4/5
Tips for choosing the best Artificial Intelligence courses in India
Define Your Goals
Make sure to articulate your career goals and to enrol in the course that will best meet them. Whether you have a basic or more specific interest, that is for a general course or a more technical one, there is something for everyone. The above factors suggest that knowing your goals will assist you with staying on track as you go through the learning process.
Consider the Format
One can take online classes which are convenient while face-to-face classes give practical experience. Of course, format choice depends on a certain number of factors, including the learners themselves: preferred mode of operation, static schedules, and other engagements. Some courses provide both forms, and that is an advantage because you will be exposed to both delivery methods.
Look for Practical Experience
Projects and applications should also be added to the list since they are also powerful resume-related experiences acquired in courses. Ensure there are chances to do some work such as through projects and internships among the curriculum activities.
Check Reviews and Ratings
Find reviews and ratings given by the research students on the quality of the program. This can give an understanding of what the learners go through and the results they get. For example, use LinkedIn to find out whether alumni have managed to find jobs with reliable organizations on completion of this course.
Evaluate the Faculty’s Knowledge
One must have to make sure that the instructor hired have adequate backgrounds that show their capability in their associated field. Professors who have experience in related fields involving AI can prove helpful in tutoring.
The Future of AI Education
As AI continues to evolve, so too will educational offerings. The future of AI education will likely be characterized by several key trends:
Micro-Credentials and Specializations
Nontraditional brevity programs will continue as working people turn to narrowly specialized training courses rather than diplomas. Micro-credentials will allow learners to assert their specialization in specific fields such as natural language processing or computer vision.
Interdisciplinary Programs
It will also give rise to interdisciplinary program interactions within and between fields, including AI & Education, AI & Ethics, AI & Law, AI & environmental science etc. This approach will make professionals ready to deal with diverse problems created by AI technologies in different settings.
Larger Adoption of Virtual Reality and Augmented Reality
The usage of Virtual Realityglass and Augmented Reality Tag will increase more. These technologies can be used to offer informative simulations and, engaging real-life environments far superior to the understanding of most concepts in the field of AI.
Emphasis on Ethical AI
At the same time, as the penetration of Artificial Intelligence increases in society, the problems of ethical topics will expand. It will not be surprising to find that future AI education will embrace classes in the development of responsible AI and also on fairness and prevention of bias.
Global Collaboration
The schools will seek partnerships with international organizations and tech firms to beef up the AI curriculum delivered to students. This will make sure that the learners can learn and embrace practices and ideas that are embraced internationally on development of Artificial intelligence.
Conclusion
AI is now and will remain the future of work, thus emphasizing the imperative of obtaining relevant knowledge for the persons to be employed in the market. Whether you plan on doing a course in generative AI or looking for courses after the 12th, courses after the 10th, or seeking a diploma course in India, the country is full of opportunities to give you a better understanding of this highly innovative field. The training you give to your Artificial Intelligence today gives a foundation for a satisfying and fulfilling career in AI.
In this blog, we have added the 10 Top Artificial Intelligence Courses in India which will help you a lot.
Thank You!
Frequently Asked Questions (FAQs)
What are the entry requirements for the AI courses in India?
A majority of Artificial Intelligence courses assume that the learner has a little background in mathematics and programming. More often than not, those who have a background in computer science or engineering or any related degree are preferred However, there are a lot of first-year or entry-level courses for those who are interested in the subject.
Do AI courses taken online prove to be as effective as traditional classroom courses?
Yes, there are such great universities that give a quality online education complemented by practical experience and necessary knowledge. The main criteria are positive feedback on the course, practice-oriented projects, and known certification.
What are the available job or career options once one has finished the AI course?
The available jobs include data scientist, machine learning engineer, AI researcher, or business analyst. Automotive, technology, healthcare, finance and almost every sector require some degree of Artificial Intelligence skills.
What is the time duration of an AI course?
Programme duration also differs to a certain extent and ranges from a few weeks for certificate courses to several months for diploma or degree courses. They may also include information that is self-taught via the Internet.
What specific knowledge shall I gain during an AI course?
AI courses include Machine Learning algorithms, with issues of data analysis, Natural language processing, Computer Vision and even the Ethics of Artificial Intelligence. As in many other fields, theoretical knowledge is also combined with strong practical experience through projects.
