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Course overview
AI systems use a combination of algorithms, data, and computational power to process information, extract patterns, and make predictions or decisions. These systems can be designed to perform a wide range of tasks, such as natural language processing, computer vision, speech recognition, problem-solving, decision-making, and more.
What will i learn?
- to provide individuals with a comprehensive understanding of artificial intelligence, its principles, and its practical applications.
- learners grasp the fundamental concepts of AI, including machine learning, deep learning, natural language processing, and computer vision.
- to explore the real-world applications of AI across different industries and sectors
- It raises awareness about considerations such as bias, privacy, transparency, and accountability in AI development and deployment.
Requirements
- Proficient English
- Anyone interested in creating compelling
- Be willing to commit
Curriculum for this course
21 Lessons
00:00:00 Hours
Introduction
1 Lessons
00:00:00 Hours
-
Course Overview
.
INTRODUCTION TO AI
8 Lessons
00:00:00 Hours
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Evolution of Artificial Intelligence (AI)
.
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Defining AI
.
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Realistic and unrealistic AI
.
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Fields related to AI
.
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Taxonomy of AI
.
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Strong vs weak AI
.
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Why is AI important
.
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Limitation of AI
.
Background to AI
2 Lessons
00:00:00 Hours
-
AI applications
.
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AI making applications friendlier
.
Strategic advantage of AI in Business
10 Lessons
00:00:00 Hours
-
Introduction to the 4th Industrial Revolution (4IR)
.
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4IR vs AI
.
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Strategic advantage of AI in Business
.
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AI technology supporting business
.
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AI in production or manufacturing
.
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AI in the medical fields
.
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AI in agriculture
.
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AI in the finance industry
.
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AI in engineering
.
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AI improving human interaction
.
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