Machine Learning Syllabus: Course-wise Subjects for 2026
- Explore the field of machine learning with our comprehensive syllabus. Course-wise subjects cover the latest advancements, including neural networks…
Explore the field of machine learning with our comprehensive syllabus. Course-wise subjects cover the latest advancements, including neural networks……
What are the Major Courses in AI and ML?
Artificial intelligence is a domain of computer science concerned with the creation of softwares and systems that can behave and carry out operations in a manner reflective of human intelligence. AI domains such as machine learning (which is the training and creation of AI models to simulate human intelligence), deep learning, natural language processing etc. are important to the development of strong and advanced AI models capable of handling complex operations in an intelligent fashion. Accordingly, the syllabus and curricula of courses related to AI and ML also include certain common subjects fundamental to the discipline, including machine learning, deep learning, reinforcement learning, neural networks, natural language processing and so on. In order to understand the curricula of an AI & ML course better, one needs to assess the level of the course and the complexity of it. Undergraduate courses are more focused on developing a strong base of fundamental concepts involved in artificial intelligence and machine learning, whereas if you pursue a postgraduate course in AI and ML, the course curriculum would develop your knowledge in the domain further with a focus on more applied and complex concepts. Enlisted below are a few of the most popular courses in artificial intelligence and machine learning available to be pursued in India. Undergraduate Courses in AI & ML Postgraduate Courses in AI & ML B.Sc in Artificial Intelligence and Data Science MBA in Artificial Intelligence & Machine Learning (AI & ML) BCA in Artificial Intelligence & Machine Learning (AI & ML) MCA in Artificial Intelligence BCA in Artificial Intelligence (AI) MCA in Machine Learning BCA in Machine Learning (ML) MCA in Artificial Intelligence & Machine Learning (AI & ML) B.Tech in CSE (AI & ML) MBA in Artificial Intelligence & Business Intelligence Executive Postgraduate Diploma (PGD) in AI & ML Postgraduate Diploma (PGD) in AI & ML PG Certification Course in AI & ML Job-guaranteed Certification Course in Machine Learning If you are a candidate interested in pursuing a course in artificial intelligence and machine learning, then here are a few important points for you to take note of: In India, there are AI and ML courses offered in two major modes, the fully online learning mode (OL) and the regular learning mode. All the major courses enlisted above (except B.Tech) are available in India in both online and regular mode. The syllabus and structure of the courses is the same and equivalent in both online and regular learning modes. The subjects, capstone projects, hands-on practicum and lab lessons in both online learning and regular mode are similar and equivalent. Hence, a student pursuing an online AIML course would study the same subjects and concepts as a student of regular AIML courses.
Undergraduate Degree Syllabus & Subjects in Artificial Intelligence and Machine Learning
Explore further details about the most popularly pursued undergraduate courses in AI and ML along with their pertinent details about the course curricula and subjects.
1 ) BCA in Artificial Intelligence & Machine Learning
A BCA in AI and ML is a dual specialisation UG degree course which is of a duration of 3 years. The structure of the syllabus of this course is divided into 6 semesters, each of nearly 6 months duration. In most colleges and institutes, the first 2 semesters consist of core subjects common to all specialisations of BCA which introduce the students to the fundamentals of computer applications. Enroll Today! BCA Online In AI and ML BCA Degree Online BCA Part Time BCA Distance Education From the third semester until the sixth semester, the various specialisation-specific courses of AI and ML are introduced. Some of the common concepts covered in this course include Python programming, data structures and algorithms, introductory papers to artificial intelligence, Java, statistical analyses, RDBMS etc. In addition to the theory papers mentioned herein, it is important to note that this course syllabus also includes practical lab slots wherein the students are taught and tested upon their ability to apply the learnt theoretical concepts in actual development of AI models. Details about the generally offered subjects in BCA in AI and ML have been provided below. Elements of Mathematics Introduction to Programming and C Problem Solving and Algorithmic Thinking Foundations of Applied Mathematics Database Management System Object Oriented Programming using Java Data Structures and Algorithms C# and .NET Framework Introduction to VR Programming Augmented Reality for Marketing and Business Integrations Designing human computer interfaces 3D interaction design and 3D models for virtual reality Internet Technologies Numerical Analyses and Statistical Techniques Web Applications Fundamentals of AI AI Using Azure Relational Database Management System Security of Information Systems Machine Learning Tools
2 ) B.Tech in Artificial Intelligence and Machine Learning (AI & ML)
A B.Tech in artificial intelligence and machine learning is a 4-year engineering degree in the umbrella domain of computer science engineering. This course, spanned across 8 semesters of 6 months duration each, consists of a coverage of the basic concepts of engineering, followed by the study of papers specific to CSE and more specifically, AI and ML. Enroll Today! BTech for Working Professionals B.Tech After Diploma BTech Online ? B.Tech Distance Education ? B.Tech course syllabus is heavily focused on the balance between theoretical and practical lessons allowing students to develop well-honed skills in AI and ML programming. Further details about the course syllabus and commonly included subjects are provided below. Linear Algebra Basic Electrical & Electronics Engineering Programming in C Introduction to Python Programming Communication Skills Statistics for Data Science Software Tools for AI & ML Probability and Random Processes Data Structures and Algorithms Application and Use Cases of Machine Learning Data Reprocessing Supervised Machine Learning Database Concepts for Data Science AI Ethics Deep Learning Optimization Techniques for Machine Learning Generative Adversarial Networks Natural Language Processing Data Visualization Reinforcement Learning
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