Engineering and computer science are the backbone of modern society and are now essential in every kind of research. Scientists who are passionate about innovation and the creative design of new technology are trained in computer science, which also opens up new possibilities for the application of existing technology. It uses projects and lab work to give students real-world experience and help them learn how to solve problems while following industry standards. Gaining proficiency in programming, database management systems, networks and security, operating systems, cloud computing, artificial intelligence, and other related areas helps in every field of development in science, economy, defence, and other sectors of a nation.
There are various programs in Computer Science after Class XII, such as
- B.Tech, M.Tech( Bachelor/Master of Technology) in Computer Science Engineering
- BCA(Bachelor of Computer Applications), MCA(Master of Computer Applications)
- Dual Degree BCA-MCA
- BCA (Hons.)
- B.Sc. (Information Technology)
- B.Sc. (Computer Science)
This blog will focus only on Artificial Intelligence(AI). In the blog, we will tell you:
- What is an AI?
- What courses can you pursue after XII?
- What courses can you pursue after your undergraduate?
- Opportunities after Graduation
- PhD in Computer Science
Artificial Intelligence (AI)
Just like humans and animals, machines also possess intelligence. Artificial intelligence (AI) has been named a vital driver of the Fourth Industrial Revolution. We experience AI in our homes, our cars, our businesses, and even in public spaces. ChatGPT by OpenAI has become a sensation recently. Machine learning enables an AI system to learn from data. Working in AI and machine learning means developing new ways to use technology. AI technologies are made to make machines act as if they are smart and to give them the ability to understand, reason, and learn from data. This is typically done through algorithms, rules, or instructions that guide the machine’s behaviour. There are many approaches to AI, including machine learning, natural language processing, computer vision, and robotics. These technologies are used for a wide range of things, like self-driving cars, virtual assistants, and diagnosing and treating medical conditions.
Courses in AI after XII
Our system is still in its infancy in AI education. This is because India only offers a few undergraduate courses, specifically about artificial intelligence. The majority of the courses are for graduate students. For instance, a program for a B.Tech. in computer science already covers subjects like AI, machine learning, data analytics, etc. A graduate with a B.Tech. in Computer Science may pursue postgraduate programs (like an M.Tech., PG Diploma, or PG Certification) that deal with AI. Other relevant courses for the UG level are:
- B.Tech. in Computer Science
- B.Tech. in Robotics and Automation
- B.Tech. in Electronics Engineering
- B.Tech. in EC Engineering
- B.Tech. in Electrical Engineering
You can pursue a B.Tech. from almost any engineering college in India. IITs, NITs, and IIITs are renowned for B.Tech. programs in Computer Science. Some private universities like Vellore Institute of Technology (VIT) and Birla Institute of Technology and Science (BITS) provide excellent opportunities in Computer Science for undergraduates.
The second way is to pursue a B.Tech. in AI, which is the only undergraduate course being provided in India at the UG level. IIT-Hyderabad is the only IIT to provide a complete, 4-year bachelor’s program dedicated to AI. IIT-Kharagpur provides only a 6-month course on AI. Other institutes include Chandigarh University, Jain University, and Sharda University. Admission to IIT-Hyderabad is made through JEE Advanced, while other institutes have their admission criteria, usually based on Class XII merit. The fee is generally around Rs. 100,000 annually for IIT-H, while higher for different institutes.
Courses in AI after your Undergraduate
After completing an AI-specific or AI-relevant UG-level program, you may apply for PG admission. When it comes to PG education, there are numerous AI-specific programs. You can also opt for a diploma with a higher level of specialisation than a master’s. Some of the programs are listed below:
- M.Tech. AI and Robotics
- M.Tech. Computer Science Engineering (focus on AI)
- M.Tech. AI and ML
- PG Diploma courses in AI, Data Science and ML
- Advanced Certification in AI
Many institutions in India offer these programs. Some of the top institutes include:
Indian Institute of Technology (IITs):
Various IITs across the country offer M.Tech. in AI and related fields. You must clear the GATE (Graduate Aptitude Test in Engineering) exam to get into the IITs for masters.
Indian Institute of Science (IISc):
IISc Bangalore is a premier institute that offers an M.Tech. in Artificial Intelligence and Machine Learning.
Indian Institute of Information Technology (IIITs):
IIIT Hyderabad and IIIT Bangalore are among the institutes that offer M.Tech. in Artificial Intelligence.
Birla Institute of Technology and Science (BITS):
BITS Pilani offers an M.Tech. in Artificial Intelligence and Data Science.
National Institute of Technology (NIT):
NITs in Trichy, Warangal, and Surathkal offer M.Tech. in Artificial Intelligence and related fields.
Pune Institute of Computer Technology (PICT):
M.Tech. in Artificial Intelligence and Machine Learning is available at PICT Pune.
Numerous private institutions provide excellent master’s programs in AI, Data Science, and Machine Learning. Admissions and fees vary from institute to institute. You can pursue higher education in AI abroad as well. To learn more about studying abroad, visit our other blogs.
Opportunities after Graduation
After graduation, you increase your chances of getting a good job. Jobs in AI are usually well-paid. Whereas, if you don’t want jobs but want to do research in AI, there are outstanding opportunities. India is becoming a world leader in AI owing to its vast knowledge base and research capabilities. By 2025, AI and data will likely add significantly to India’s GDP.
Listed below are a few top institutions in India for research in AI:
- Indian Institute of Technology – Delhi: IIT-D has established a school dedicated to artificial intelligence.
- Other IITs: IIT-Madras and Bombay provide the best research facilities in AI. And the research spans both primary and applied research projects in various fields ranging from finance to healthcare.
- Indian Institute of Science- Bengaluru
- Birla Institute of Technology and Science, Pilani
There are many more options in India but always look for the best faculty profile, computational infrastructure, and dedicated research groups. If you get accepted by one of the best faculties, but the institute where you work doesn’t have the computational infrastructure, you will struggle to implement your complex neural networks. If your institute has high-end GPU servers, but your supervisor is not an expert in your area, you must learn everything independently with limited guidance. There are a lot of exciting research opportunities in artificial intelligence. Some of them are:
Machine Learning: –
This is one of the most popular areas of AI research. Machine learning involves using algorithms and statistical models to allow computers to learn from data and make predictions or decisions based on that learning. Machine learning has many subfields, such as deep learning, reinforcement learning, and unsupervised learning.
Natural Language Processing (NLP): –
This area of AI research focuses on enabling computers to understand and interact with human language. NLP involves sentiment analysis, machine translation, and text classification tasks.
Computer Vision: –
This area of AI research focuses on enabling computers to interpret and understand visual information from the world around them. Computer vision involves object recognition, image segmentation, and facial recognition.
Robotics involves using AI to enable robots to perform tasks autonomously. This area of research is significant in manufacturing, health care, and space travel.
PhD in Computer Science:
PhD in Computer Science is a 3-year, doctorate-level course in computer science and its related aspects. PhD in computer science topics include Research Methodology, Data Mining, Machine Learning, Rough Set Theory, etc. The minimum eligibility criteria for PhD in Computer Science Admission requires a master’s degree in computer science or an equivalent degree with a cumulative GPA of 55%. Across various PhD computer science colleges in India, the fee for a PhD in Computer Science ranges from Rs. 10,000 to Rs.2.75 lacs. The variation in the fee is based on the location and type of university, such as private, deemed, or government. Admission is based on exams like CSIR UGC NET, IIT JAM, GATE, UGC NET, etc.
A PhD in Computer Science allows students to gain expertise in various fields by immersing themselves in the subject. You get an excellent chance to research interdisciplinary fields of computer science.
AI is an ever-evolving field that requires many skills, creativity, and interdisciplinary knowledge of computer science. That’s why research in AI is possible only after a master’s. You should focus on improving your understanding of computers, languages and AI. Try enrolling in various courses to gain experience starting from the undergraduate level. You can try getting an internship at any of the institutes mentioned above. As always, building a solid network is mandatory in this field too. AI professionals are in high demand, and employers highly value their skills. So, AI professionals have a good chance of making a good living, which is likely to continue as the need for their skills grows. For a rough estimate, the median salary for AI professionals in India is Rs.10 lacs annually.
To learn more about internships and related topics, visit our other blogs.
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