How can I become an AI engineer after 10th?

The candidates who have completed 10+2 from the science stream with Maths and Physics as compulsory subjects are eligible to apply. The candidates will have to take up JEE Main or any other entrance exam. JEE Main is accepted by most of the institutes in India for engineering admissions.

How do I become an AI engineer?

How to become an AI Engineer?

  1. Bachelor’s degree in IT, Computer Science, Statistics, Data Science, Finance, etc.
  2. Master’s degree in Computer Science, Mathematics, Cognitive Science, Data Science, etc.
  3. Certifications in Data Science, Machine Learning, etc.

What is the qualification for AI course?

For pursuing an AI course, candidates should successfully complete 10+2 from a recognized board with Science. Maths and Physics should be compulsory papers. The aggregate score in the board exam should be a minimum of 50%.

What group should I take in 11th for artificial intelligence?

You just need to have science stream at 11th and 12th so that you can go for it . You need to study Engineering and specialize in AI. You can apply for various engineering entrance exam for admission.

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Which subject is best for AI?

10 Best Artificial Intelligence Courses in 2022

  • Artificial Intelligence Certification Program by Stanford University.
  • Artificial Intelligence A-Z.
  • AI course for Everyone by Coursera.
  • Introduction to Artificial Intelligence with Python by EdX.
  • IBM Applied AI certification course by Coursera.
  • AI application with Watson by edX.

What is the salary of AI engineer?

AI Engineers Salaries Across the Globe

The entry-level annual average AI engineer salary in India is around 8 lakhs, which is significantly higher than the average salary of any other engineering graduate. At high-level positions, the AI engineer salary can be as high as 50 lakhs.

Where can I study AI in India?

Artificial Intelligence Colleges in India:

Name of the Institute Location
Indian Institute of Science (IISc) Bangalore
Indraprastha Institute of Information Technology (IIIT) Delhi
Amity University Noida
Vellore Institute of Technology (VIT) Vellore

Can a Bipc student do artificial intelligence?

Hello, Yes, a PCB student can opt for an artificial neural intelligence career. Computer Science and Math are also required for artificial intelligence.

What is the salary of Artificial Intelligence in India?

An AI professional with 4-8 years of experience can expect a median salary range of R 35-50 lakh per annum. Engineers with more than 10 years of experience in Artificial Intelligence can earn more than 1 Crore per annum.

Is artificial intelligence a good career?

The field of artificial intelligence has a tremendous career outlook, with the Bureau of Labor Statistics predicting a 31.4 percent, by 2030, increase in jobs for data scientists and mathematical science professionals, which are crucial to AI.

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What are subjects in AI?

The main research topics in AI include: problem solving, reasoning, planning, natural language understanding, computer vision, automatic programming, machine learning, and so on.

Is artificial intelligence hard?

Yes, Artificial Intelligence is quite hard, but if you make your mind nothing is hard. It only depend to person to person, If you have interest than you will be able to make it quick. Artificial Intelligence have better future.

Is maths compulsory for artificial intelligence?

Mathematics for Data Science: Essential Mathematics for Machine Learning and AI. Learn the mathematical foundations required to put you on your career path as a machine learning engineer or AI professional. A solid foundation in mathematical knowledge is vital for the development of artificial intelligence (AI) systems …

Where can I learn AI for free?

The 6 Best Free Online Artificial Intelligence Courses Available…

  • Learn with Google AI. …
  • Google – Machine Learning. …
  • Stanford University – Machine Learning. …
  • Columbia University – Machine Learning. …
  • Nvidia – Fundamentals of Deep Learning for Computer Vision. …
  • MIT – Deep Learning for Self Driving Cars.
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