Course Name:	Advance Diploma in AI & ML
Course Short Name:	ADAIML
Course Code::	ARJ0116
Course Type:	Advance Diploma
Duration:	1 Year
Eligibility:	12th
Total Subjects:	5

1. Core Machine Learning (The Foundation) 

This is where you learn how to teach computers to learn from data without being explicitly programmed.

Supervised Learning: Teaching the machine with labeled data (e.g., linear regression, decision trees).

Unsupervised Learning: Finding patterns in unlabelled data (e.g., clustering customers by behavior).

Reinforcement Learning: Learning through trial and error (like teaching a robot to walk).

Model Evaluation: How to measure if your AI is actually "smart" (accuracy, precision, recall).

2. Deep Learning (The Advanced "Brain") 

Once you know the basics, you study Neural Networks, which mimic the human brain.

Artificial Neural Networks (ANN): The basics of deep learning.

Convolutional Neural Networks (CNN): Used for Computer Vision (recognizing faces, medical images).

Recurrent Neural Networks (RNN) & Transformers: Used for Natural Language Processing (like ChatGPT or Google Translate).

3. AI Electives & Applications 

In the final stages, you apply these skills to specific fields.

Natural Language Processing (NLP): Text and speech analysis.

Computer Vision: Image and video processing.

Robotics: integrating AI with hardware.

Ethics in AI: Bias, fairness, and safety.