Course Name:	Diploma in Artificial intelligence
Course Short Name:	DAI
Course Code::	ARJ0115
Course Type:	Diploma
Duration:	1 Year
Eligibility:	12th
Total Subjects:	3

1. Mathematical Foundations 

Math is the language of AI. Without these, machine learning algorithms are black boxes.

Linear Algebra: Vectors, matrices, and operations (essential for handling data in neural networks).

Calculus (Differential & Integral): Used for optimization and understanding how models learn (e.g., gradient descent).

Probability & Statistics: The backbone of making predictions and handling uncertainty in data.

Discrete Mathematics: Logic, set theory, and graph theory, which help in understanding algorithms.

2. Core Computing & Programming 

You need to learn how to talk to the machine before you can teach it to think.

Introduction to Programming: usually Python (the standard language of AI) or C++.

Data Structures & Algorithms (DSA): How to organize data efficiently and solve computational problems.

Object-Oriented Programming (OOP): Building modular and reusable code.

Database Management Systems (DBMS): Basics of SQL and handling large datasets.

3. Introductory AI Concepts 

Some curriculums introduce specific AI topics late in the first year.

Introduction to Artificial Intelligence: History of AI, agents, and basic search algorithms.

Python Libraries for AI: Intro to NumPy, Pandas, and Matplotlib for data manipulation.