Top 20 AI Engineering Colleges in India

Artificial Intelligence (AI) has emerged as a game-changer in the quickly changing technology landscape, altering sectors and opening the door for creative solutions. Top engineering universities throughout India have started offering specialized degrees in response to the growing need for qualified AI specialists. Let’s explore the academic excellence and innovation that define the colleges and make them ideal destinations for aspiring AI professionals.

These top 20 engineering colleges for AI education in India were chosen based on their strong reputation, rankings, and specialized programs in artificial intelligence (AI), machine learning, and data science. The faculty members are leaders in AI with industry expertise, offering abundant research opportunities. Close ties with AI sector businesses enable internships and job placements. State-of-the-art facilities, AI labs, and alumni success further distinguish these institutions as leaders in AI education.

Top 20 Engineering Colleges for AI in India

India is witnessing a surge in the demand for AI professionals, and several engineering colleges are stepping up to meet this demand by offering specialized programs in Artificial Intelligence (AI). Here’s a list of the top 20 engineering colleges in India known for their AI education:

1. Indian Institute of Technology Bombay (IIT Bombay)

IIT Bombay is one of the premier engineering institutes in India, known for its strong emphasis on research and innovation. The campus fosters a vibrant ecosystem for AI and Machine Learning research, with state-of-the-art labs and expert faculty.

IIT Bombay hosts AI-related workshops, seminars, and conferences, providing students with exposure to the latest developments and trends in AI. The institute encourages interdisciplinary research, leading to applications of AI in various domains including healthcare, finance, and smart cities.

• Background Needed: Applicants should have a strong foundation in computer science, mathematics, and programming. Prior knowledge of algorithms and data structures is beneficial.
• UG Course: B.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for MTech: Applicants for the MTech program in AI and Machine Learning should have a B.Tech/B.E. degree in Computer Science or related fields. They should also have a valid GATE score.

2. Indian Institute of Technology Delhi (IIT Delhi)

Indian Institute of Technology Delhi (IIT Delhi) is a premier technical institute in India, chosen for its strong reputation, rankings, and specialized programs in artificial intelligence (AI), machine learning, and data science. The campus boasts cutting-edge research facilities in AI and Data Engineering, providing students with opportunities to work on real-world projects.

The institute’s close collaborations with AI sector businesses facilitate internships and job placements. State-of-the-art facilities and AI labs, along with the success of its alumni in the field, further cement IIT Delhi’s position as a top choice for AI education in India.

• Background Needed: Students should have a background in computer science, mathematics, and programming. Knowledge of databases and data structures is advantageous.
• UG Course: B.Tech in Computer Science and Engineering with a specialization in AI and Data Engineering.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for MTech: For the MTech program in AI and Data Engineering, candidates should have a B.Tech/B.E. degree in Computer Science, Electrical Engineering, or related fields. They must also have a valid GATE score.

3. Indian Institute of Technology Madras (IIT Madras)

IIT Madras is a leading institute in AI education and research. With a focus on Data Science and Machine Learning, the campus offers interdisciplinary programs and collaborations with industry leaders. The institute’s collaborations with AI sector businesses enable valuable internships and job placements. State-of-the-art facilities and AI labs, coupled with the successful careers of its alumni in the field, solidify IIT Madras as a top destination for AI education in India.

• Background Needed: A strong foundation in mathematics, statistics, and programming is required. Prior exposure to machine learning concepts is recommended.
• UG Course: B.Tech in Computer Science and Engineering with a specialization in AI and Data Science.
• PG Course: M.Tech in Data Science and Machine Learning.
• Qualifications for MTech: Applicants for the MTech program in Data Science and Machine Learning should have a B.Tech/B.E. degree in Computer Science, Electrical Engineering, or related fields. A valid GATE score is required.

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4. Indian Institute of Technology Kharagpur (IIT Kharagpur)

IIT Kharagpur has a rich history of innovation and entrepreneurship. The campus houses dedicated labs for AI, Robotics, and Automation, fostering a culture of interdisciplinary learning and research. It’s collaborations with AI sector businesses facilitate valuable internships and job placements. The institute boasts state-of-the-art facilities and AI labs, complemented by the successful careers of its alumni in the AI field, cementing IIT Kharagpur’s status as a premier institution for AI education in India.

• Background Needed: Students should have a background in computer science, mathematics, and robotics. Knowledge of machine learning algorithms is beneficial.
• UG Course: B.Tech in Computer Science and Engineering with a specialization in AI, Robotics, and Automation.
• PG Course: M.Tech in AI, Robotics, and Automation.
• Qualifications for MTech: Candidates for the MTech program in AI, Robotics, and Automation should have a B.Tech/B.E. degree in Computer Science, Electrical Engineering, or related fields. A valid GATE score is necessary.

5. Indian Institute of Technology Kanpur (IIT Kanpur)

IIT Kanpur is known for its strong foundation in AI and Machine Learning. The campus encourages exploration in cutting-edge technologies, offering a conducive environment for students to delve into AI research. State-of-the-art facilities and AI labs, combined with the successful careers of its alumni in the field, solidify IIT Kanpur as a top choice for AI education in India.

• Background Needed: Applicants should have a strong foundation in computer science, mathematics, and programming. Knowledge of algorithms and data structures is essential.
• UG Course: B.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• PG Course: M.Tech in AI and Machine Learning.
• Qualifications for MTech: For the MTech program in AI and Machine Learning, applicants should have a B.Tech/B.E. degree in Computer Science, Electronics, or related fields. A valid GATE score is required.

6. International Institute of Information Technology Hyderabad (IIIT Hyderabad)

IIIT Hyderabad is a hub for AI and ML enthusiasts, with a focus on cutting-edge research. The campus hosts renowned faculty members and collaborative projects with industry partners, providing a holistic learning experience. It’s strong ties with the AI industry facilitate internships and job placements for students. The institute’s advanced facilities, AI labs, and successful alumni in the field further enhance its standing as a top destination for AI education in India.

• Background Needed: A background in computer science, mathematics, and programming is required. Knowledge of machine learning concepts and algorithms is recommended.
• UG Course: B.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for MTech: Candidates for the MTech program in Computer Science and Engineering with a specialization in AI and Machine Learning should have a B.Tech/B.E. degree in Computer Science, Electronics, or related fields. They must also have a valid GATE score.

7. Indian Statistical Institute (ISI) Kolkata

ISI Kolkata is a pioneer in statistics and data science education. With a specialization in AI and Data Science, the institute offers rigorous programs that blend theoretical knowledge with practical applications. It plays a significant role in advancing AI innovation in India. It equips students with the skills and knowledge to excel in AI-related careers and contributes to the development of AI technologies that address real-world challenges and drive economic growth.

• Background Needed: Applicants should have a strong foundation in mathematics, statistics, and programming. Prior exposure to AI and machine learning is beneficial.
• UG Course: Bachelor of Statistics (B.Stat) with a specialization in AI and Data Science.
• PG Course: M.Tech in Computer Science with a specialization in AI and Data Science.
• Qualifications for MTech: For the MTech program in Computer Science with a specialization in AI and Data Science, applicants should have a B.Tech/B.E. degree in Computer Science, Electronics, or related fields. A valid GATE score is necessary.

8. Birla Institute of Technology and Science (BITS Pilani)

Birla Institute of Technology and Science (BITS Pilani) is a well known technical institute in India renowned for its excellence in education and research, including in the field of Artificial Intelligence (AI). It is known for its progressive approach to AI education. The campus offers a vibrant AI community, where students can engage in research, hackathons, and industry collaborations.

• Background Needed: Students should have a background in computer science, mathematics, and programming. Knowledge of algorithms and data structures is advantageous.
• UG Course: B.E. (Hons.) in Computer Science with a specialization in AI and Machine Learning.
• PG Course: M.Tech in Computer Science with a specialization in AI and Machine Learning.
• Qualifications for MTech: Candidates for the MTech program in Computer Science with a specialization in AI and Machine Learning should have a B.Tech/B.E. degree in Computer Science, Electronics, or related fields. They must also have a valid GATE score.

9. National Institute of Technology Warangal (NIT Warangal)

NIT Warangal is a leading institute in AI education, with a focus on practical applications. The campus offers a hands-on approach to AI and Machine Learning, preparing students for industry challenges. NIT Warangal facilitates a vibrant environment for AI enthusiasts through workshops, seminars, and conferences dedicated to the latest advancements in AI. The institute encourages interdisciplinary research, promoting the application of AI in critical domains such as healthcare, finance, and smart infrastructure.

• Background Needed: A strong foundation in computer science, mathematics, and programming is required. Knowledge of machine learning algorithms and data analysis is beneficial.
• UG Course: B.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for MTech: For the MTech program in Computer Science and Engineering with a specialization in AI and Machine Learning, applicants should have a B.Tech/B.E. degree in Computer Science, Electronics, or related fields. A valid GATE score is required.

10. Indian Institute of Technology Hyderabad (IIT Hyderabad)

Indian Institute of Technology (IIT) Hyderabad is a leading institution in the field of Artificial Intelligence (AI) research and education. It hosts the Center for AI and Data Science (CAIDS), which is dedicated to cutting-edge research in AI, machine learning, and data science.

• Background Needed: Proficiency in algorithms, data structures, and machine learning concepts.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

11. Indian Institute of Technology Gandhinagar (IIT Gandhinagar)

Indian Institute of Technology Gandhinagar (IIT Gandhinagar) is a prominent institution for Artificial Intelligence (AI) research and education in India. The institute’s Center for Cognitive and Brain Sciences (CCBS) conducts interdisciplinary research in AI and neuroscience, exploring the intersection of human cognition and AI algorithms.

IIT Gandhinagar collaborates with industry partners and other academic institutions, fostering innovation and practical applications of AI. Its AI initiatives extend to various domains including healthcare, agriculture, and smart infrastructure. Through these efforts, IIT Gandhinagar remains at the forefront of AI development, preparing students to tackle complex challenges in this rapidly evolving field.

• Background Needed: Strong foundation in mathematics, algorithms, and programming.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

12. NIT Trichy (National Institute of Technology Tiruchirappalli)

NIT Trichy offers AI courses with a strong industry focus, preparing students for AI careers. It actively participates in AI competitions, hackathons, and workshops, providing students with hands-on experience and exposure to the latest AI technologies. The institute’s AI initiatives extend to various domains including healthcare, agriculture, and smart cities. Through these efforts, NIT Trichy plays a significant role in advancing AI innovation and education in India, producing skilled professionals ready to tackle the challenges of the AI industry.

• Background Needed: Understanding of algorithms, data structures, and programming languages.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

13. Indian Institute of Technology Roorkee (IIT Roorkee)

IIT Roorkee has a long-standing reputation in AI education, offering a range of AI courses. The institute’s Center for Artificial Intelligence and Data Science (CAIDS) is at the forefront of AI research, fostering collaboration between academia and industry. IIT Roorkee’s AI initiatives include hosting workshops, seminars, and conferences on AI-related topics, providing students and researchers with opportunities to stay updated with the latest trends and technologies. The institute also encourages interdisciplinary research, with AI applications spanning diverse fields including healthcare, finance, and transportation.

• Background Needed: Strong mathematical and analytical skills, proficiency in programming.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

14. Delhi Technological University (DTU), Delhi

DTU’s AI and Data Science programs are renowned for their industry relevance and practical approach. DTU hosts AI-related workshops, seminars, and conferences, providing students with opportunities to learn from experts and stay updated with the latest trends in AI. The university also encourages students to participate in AI competitions and hackathons, fostering practical experience and innovation in AI applications.

With a strong commitment to AI education and research, DTU plays a vital role in shaping the future of AI in India. It equips students with the knowledge and skills needed to excel in AI-related careers and contributes to the development of AI technologies that address real-world challenges.

• Background Needed: Understanding of algorithms, data structures, and programming languages.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Data Science.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

15. Indian Institute of Technology Bhilai (IIT Bhilai)

Indian Institute of Technology Bhilai (IIT Bhilai) is a prestigious technical institute in India, known for its contributions to Artificial Intelligence (AI) research and education. IIT Bhilai hosts AI-related workshops, seminars, and conferences to provide students with opportunities to learn from experts and engage in discussions on the latest trends in AI. The institute encourages interdisciplinary research, leading to applications of AI in diverse fields such as healthcare, finance, and smart cities.

• Background Needed: Strong foundation in mathematics, algorithms, and programming.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

16. Indian Institute of Technology Jodhpur (IIT Jodhpur)

IIT Jodhpur regularly organizes AI-related workshops, seminars, and conferences to provide students with exposure to the latest developments and trends in AI. The institute encourages interdisciplinary research, leading to applications of AI in various domains including healthcare, agriculture, and smart cities.

Through its comprehensive AI programs and research initiatives, IIT Jodhpur plays a significant role in advancing AI innovation in India. It equips students with the skills and knowledge necessary to excel in AI-related careers and contributes to the development of AI technologies that address societal challenges and drive economic growth.

• Background Needed: Understanding of machine learning algorithms, programming proficiency.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Intelligence.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

17. Indian Institute of Technology Indore (IIT Indore)

Indian Institute of Technology Indore (IIT Indore) is a premier technical institute in India known for its excellence in education and research, including in the field of Artificial Intelligence (AI). The institute encourages interdisciplinary research, leading to applications of AI in diverse fields such as healthcare, finance, and smart cities.

Through its comprehensive AI programs and research initiatives, IIT Indore plays a vital role in advancing AI innovation in India. It equips students with the necessary skills and knowledge to excel in AI-related careers and contributes to the development of AI technologies that address real-world challenges and drive economic growth.

• Background Needed: Proficiency in mathematics, algorithms, and programming.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

18. Indian Institute of Technology Mandi (IIT Mandi)

IIT Mandi offers AI programs with a focus on innovation and entrepreneurship in the field of AI. It hosts AI-related workshops, seminars, and conferences to provide students with exposure to the latest developments and trends in AI. The institute encourages interdisciplinary research, leading to applications of AI in various domains including healthcare, agriculture, and smart cities.

Through its comprehensive AI programs and research initiatives, IIT Mandi plays a crucial role in advancing AI innovation in India. It equips students with the skills and knowledge necessary to excel in AI-related careers and contributes to the development of AI technologies that address societal challenges and drive economic growth.

• Background Needed: Understanding of algorithms, data structures, and programming languages.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

19. Indian Institute of Technology (Banaras Hindu University) Varanasi (IIT BHU)

Indian Institute of Technology (Banaras Hindu University) Varanasi, commonly known as IIT BHU, is a prestigious technical institute in India with a rich history and a strong focus on Artificial Intelligence (AI) research and education. IIT BHU organizes AI-related workshops, seminars, and conferences, providing students with opportunities to learn from experts and stay updated with the latest trends in AI. The institute also encourages interdisciplinary research, leading to applications of AI in various domains including healthcare, finance, and smart cities.

• Background Needed: Proficiency in mathematics, algorithms, and programming.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

20. National Institute of Technology Calicut (NIT Calicut)

NIT Calicut’s AI and Machine Learning programs focus on practical applications and industry collaboration, preparing students for AI careers. NIT Calicut plays a crucial role in advancing AI innovation in India. It equips students with the skills and knowledge necessary to excel in AI-related careers and contributes to the development of AI technologies that address societal challenges and drive economic growth.

• Background Needed: Understanding of algorithms, data structures, and programming languages.
• UG Course: B.Tech/B.E. in Computer Science, Electronics, or related fields.
• PG Course: M.Tech in Computer Science and Engineering with a specialization in AI and Machine Learning.
• Qualifications for M.Tech: B.Tech/B.E. degree in relevant fields. Valid GATE score.

Conclusion

India boasts a range of top-tier engineering colleges offering specialized AI programs. These institutions provide a platform for students to delve into the exciting world of Artificial Intelligence, covering topics from machine learning algorithms to data science applications. With a strong emphasis on research, industry collaboration, and practical learning, graduates from these programs are well-equipped to tackle the challenges of the AI industry. Whether you’re aiming for a Bachelor’s or Master’s degree, these colleges offer diverse pathways to expertise in AI, shaping the future of technology and innovation in India and beyond.

Ayushi Trivedi

My name is Ayushi Trivedi. I am a B. Tech graduate. I have 3 years of experience working as an educator and content editor. I have worked with various python libraries, like numpy, pandas, seaborn, matplotlib, scikit, imblearn, linear regression and many more. I am also an author. My first book named #turning25 has been published and is available on amazon and flipkart. Here, I am technical content editor at Analytics Vidhya. I feel proud and happy to be AVian. I have a great team to work with. I love building the bridge between the technology and the learner.