Artificial Intelligence (AI)

Description

Artificial Intelligence (AI)

This course provides a comprehensive introduction to the principles and techniques of Artificial Intelligence. Students will explore the fundamental concepts of AI, including machine learning, deep learning, natural language processing, computer vision, and robotics.

Key Topics:

1. Introduction to AI: History, definition, and applications of AI

2. Machine Learning: Supervised, unsupervised, and reinforcement learning

3. Deep Learning: Neural networks, convolutional neural networks, and recurrent neural networks

4. Natural Language Processing: Text processing, sentiment analysis, and language models

5. Computer Vision: Image processing, object detection, and image classification

6. Robotics: Robotics fundamentals, motion planning, and control

Course Objectives:

1. Understand the fundamental concepts and techniques of AI

2. Apply machine learning and deep learning algorithms to real-world problems

3. Develop skills in natural language processing and computer vision

4. Design and implement AI solutions for various applications

5. Evaluate the ethical and societal implications of AI

Target Audience:

1. Students interested in AI and machine learning

2. Professionals seeking to apply AI techniques in their field

3. Anyone interested in understanding the principles and applications of AI

Prerequisites:

1. Programming skills (Python or similar languages)

2. Basic understanding of mathematics (linear algebra, calculus, and probability)

This course will provide a solid foundation in AI principles and techniques, enabling students to develop practical skills and apply AI solutions to real-world problems.

What will you learn

• Professsional certificate of Accomplishments and Partway for ND and HND Program

Requirements

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