Hello Aspirant,

It is now hard to imagine living without technology. From 2019 to 2027, the AI market is predicted to increase at a 42.2 percent compound annual growth rate. Because AI is advancing at such a rapid pace, the demand for professionals who have done Artificial Intelligence Course in India will rise as well.

An Overview of the Artificial Intelligence Course in India

You must already be aware of the relationship between computer science and artificial intelligence, but machine learning is another subject that ties the two together. The graduate-level courses for this specialisation seek to give the fundamentals of computer science such as algorithms and computational codings, whether you are studying artificial intelligence in India or anyplace else in the world. Although taking this course at a reputable university has a few requirements, you can also learn more about this subfield through online courses. You will also learn about Bayesian Networking, theories from cognitive science, robotics, engineering mathematics, etc. if you study this are.

The curriculum and course structure for artificial intelligence

When taking an artificial intelligence course in India, institutions typically give students a combination of symbolic and classical approaches, which helps to build a stronger foundation for understanding the course's complex concepts. On how to recreate and advance technology, many coding languages are taught. Additionally, the course work for an academic programme in AI is a flawless synthesis of many Computer Science and Machine Learning components.

Though the subjects might differ from one course to another, we have brought you a list of major topics that are generally covered during an AI course:

• Fundamental of Artificial Intelligence
• Human Language Technologies
• Intelligence Systems for Pattern Recognition
• Concepts of Machine Learning
• Smart Applications
• Cloud Computing
• Application of Artificial Intelligence
• Computational Mathematics for learning and data analysis
• Robotics
• Semantic Web
• AI Systems
• Network Analysis
• Computational Modelling of Complex Systems
• Web Ontology Language
• Robot Navigation
• Visions in Humans and Robots
• Sensor for Robotics
  
  
• Artificial Intelligence Course Eligibility in India
  Various AI Courses are available for students in India, from certificate AI Courses to Masters in AI. The eligibility criteria for each course will vary. However, the general criteria to pursue an AI Course in India is to complete higher secondary education from a recognized board. The table below depicts the general eligibility criteria for admission to different AI Courses in India:
  

  AI Course Level	General Criteria
  Certificate Courses in AI	Must have passed class XII
  Executive, Advanced and Professional Certificate courses in AI	Complete graduation in a related discipline
  Diploma Courses in AI	Must have passed class XII
  PG Diploma Courses in AI	Complete graduation in a relevant discipline
  BTech or BSc in AI	Must have passed class XII with Physics and Math with a minimum of 50%
  Masters Courses in AI	Graduation from a recognized university with a minimum of 55%