RC 1221438

The Artificial Intelligence (AI) course is designed to provide students with practical skills and foundational knowledge in AI technologies, preparing them for entry-level roles in the field.

Course Overview:

Duration:

Typically 6 months to 1 year (varies by program)

Introduction to AI –

Definition, history, applications, and ethical considerations..

Machine Learning (ML) Basics –

Supervised, unsupervised, and reinforcement learning.

Data Handling –

Data collection, cleaning, and preprocessing for AI models.

AI Algorithms –

 Regression, classification, clustering, and neural networks.

Programming for AI –

Hands-on training in Python, Tensor Flow, or PyTorch.

Natural Language Processing (NLP) & Computer Vision –

Basics of text and image recognition.

AI Tools & Frameworks –

Using platforms like Google Colab, Jupyter Notebooks, and cloud-based AI services.

AI in Industry –

Real-world applications in healthcare, automation, robotics, and business.

Format: 

Combines theory with practical lab work.

Key Course Components:

Prerequisites: 

Basic math and science knowledge (no prior electronics experience required).

This course emphasizes hands-on projects, industry-relevant tools, and problem-solving to ensure students are job-ready upon completion.

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