AIML Syllabus and Subjects

The Artificial Intelligence and Machine Learning syllabus teaches students about data collection, categorization, strategic planning, analysis, and interpretation. It is a specific field concerned with the development of embedded systems such as robots and IoT-based applications. The AI syllabus covers core subjects, elective subjects, projects, case studies, and experiments. The core subjects included in the Artificial Intelligence course syllabus are mathematics, Statistics, Computer Science, Machine Learning, etc. The elective subjects included in the AI and ML syllabus are Robotics and Automation, Cognitive Computing, Quantum AI, System Modeling and Design, Human-Computer Interface, etc. Core subjects are compulsory while candidates can choose electives as per their interest.

Artificial Intelligence syllabus and Machine Learning syllabus include other important subjects like Introduction to Artificial Intelligence, Machine Learning Fundamentals, Knowledge Representation and Reasoning, etc. The Artificial Intelligence and Machine Learning course structure is a mixture of class lessons, lab work, projects, practical sessions, case studies, internships, etc. The AI and ML course is offered at the undergraduate level, Postgraduate level, diploma level, certificate level, etc. Candidates must keep in mind that the Artificial Intelligence and Machine Learning syllabus varies according to degree level and institute. The top AI and ML colleges in India are IIT Delhi, VIT Vellore, IIT Madras, SRM Chennai, etc. Admission to AI and ML is done via entrance exam and on merits. 
 

Artificial Intelligence and Machine Learning are some of the best courses in IT and computer science today due to the high demand for skilled AI and ML professionals. Candidates planning to pursue a degree in Artificial Intelligence and Machine Learning should go through the syllabus and subjects once to get an idea of what they have to study. In this aspect, we have mentioned the important details about the Artificial Intelligence course syllabus and Machine Learning syllabus below. 

Artificial Intelligence syllabus and Machine Learning syllabus might differ based on the course level (undergraduate, graduate, or professional). In addition, the AI syllabus and ML syllabus also vary as per the college. However, there are some common subjects that are usually included in the Artificial Intelligence and Machine Learning syllabus. 

Candidates can check the Artificial Intelligence and Machine Learning Subject List and topics below. 

The AI syllabus, subjects, and course structure are different for UG degrees, PG degrees, and diplomas. Candidates can get a quick overview of the AI course syllabus and ML syllabus for various courses below. 

The detailed Artificial Intelligence course syllabus and Machine Learning course syllabus can be checked on the college website. 

The Artificial Intelligence syllabus and Machine Learning syllabus include various subjects that include common subjects, optional subjects, core subjects, etc. The AI syllabus ML syllabus and subject lists might vary as per the institutes. However, some of the AI and ML subjects covered are common in all the colleges.

Candidates can check out the Artificial Intelligence and Machine Learning Syllabus and subjects below. 

AI Syllabus Core Subjects

Core subjects are required courses that are compulsory for all the students. Candidates don't want to have the option to choose the core subjects. They are designed and structured by the colleges and the same for all the students. 

Candidates can check out the core subjects for the AI course syllabus and Machine Learning syllabus below. 

• 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)

AI Syllabus Elective Subjects

The elective subjects are optional subjects that candidates can choose as per their wish. Each college provides a list of optional subjects from which students can pick. Candidates must choose elective subjects which interest them and align with their career goals. 

Given below are elective subjects for the Artificial Intelligence course syllabus and Machine Learning course syllabus. 

• System Modeling and Design
• Internet of Medical Behaviour
• Quantum AI
• Robotics and Automation
• Cognitive Computing
• Software Architecture
• Human-Computer Interface
• Pattern Recognition

Artificial Intelligence and Machine Learning is a field of study or disciplines that combines ideas, standards, methodologies, and discoveries from multiple areas such as mathematics, cognitive science, electronics, and embedded systems to create intelligent systems that imitate human behavior. 

The Artificial Intelligence and Machine Learning course structure includes core subjects, elective subjects, and some common subjects. Students studying Artificial Intelligence and Machine Learning are taught Mathematics and Physics in modular formats throughout their first few semesters, after which the curriculum focuses on disciplines central to AI. This will serve to build research skills and innovative project creation in the fields of AI, ML, DL, networking, security, web development, Data Science, and new technologies for the benefit of society. 

The Artificial Intelligence and Machine Learning course framework includes:

• Case Studies & Experiments
• Real-Time Projects
• Class lessons
• Project work
• Internships 
• Core Subjects
• Elective subjects
• Internships
• Practical Sessions
• Experiments 
   

Candidates check some of the best books for AI syllabus and Machine Learning syllabus below. 

The entrance exams conducted for Artificial Intelligence & Machine Learning depend upon the level of course you are applying for admission. If you are studying B.Tech in Artificial Intelligence and Machine Learning then JEE Main, JEE Advanced, MHT CET, WBJEE, KCET, etc are popular entrance exams. If you are studying BCA in AI & ML course then you have to appear for entrance exams like IPU CET, CUET, SET, etc.

Candidates can check out the entrance exam conducted for Artificial Intelligence and Machine Learning courses below.