Syllabus for artificial intelligence and machine learning

Dear Student,

The syllabus for Artificial Intelligence and Machine Learning is typically divided into 8 semesters and includes various topics, like Mathematics, Statistics, Computer Science, Basic Machine Learning, Deep Learning, Internet of Things, Computer Vision (Convolutional Neural Network – CNN), Recurrent Neural Network (RNN), Reinforcement Learning (RL), Deep Reinforcement Learning (Deep RL) and System Modeling and Design, Internet of Medical Behaviour, Quantum AI, Robotics and Automation, Cognitive Computing, Software Architecture, Human-Computer Interface, & Pattern Recognition. However, the semester wise syllabus varies based on different the stream opted for, such as B.Tech in AIML, BCA in AIML, M.Tech in AIML etc. You should check AIML course syllabus core and elective subjects, overall structure in detail if you are looking to appear for entrance exams. 

We hope this answer clears your query. Good luck!