Course Content
Module One: Introduction To Artificial Intelligence
Objective: Understand the foundations of AI by exploring its definition, history, types, and the emergence of generative AI. Learners will gain a broad perspective on what AI is, how it evolved, and where it is headed.
0/7
Welcome to Module One
00:26
1.1 What is Artificial Intelligence
01:03
1.2 The History Of Artificial Intelligence
1.3 Core Concepts
00:53
1.4 The Rise Of Generative A.I
Next: Real World Applications Of Artificial Intelligence
00:24
Quick Quiz
00:03:00
Module Two: Real World Applications Of Artificial Intelligence
Objective: Discover how AI is transforming various sectors through practical use cases. Learners will explore AI in the workplace, education, data analytics, and low-code tools, gaining insight into tools and applications they can use in their own work or learning.
0/7
Welcome to Module Two
00:23
2.1 A.I Use Cases & Real Life Examples
00:38
2.2 A.I In The Workplace
01:17
2.3 A.I For Data Analysis
2.4 A.I For Students & Educators
Next: Responsible A.I Use
00:17
Quick Quiz
00:03:00
Module Three: Responsible A.I Use
Objective: Introduce learners to responsible AI use. Help learners understand the ethical, professional, and safe ways to apply AI tools without compromising data, quality, or integrity.
0/4
Welcome To Module Three
00:23
3.1 How To Use A.I Responsibly In Your Work
Next: Prompt Engineering
00:26
Quick Quiz
00:03:00
Bonus Module: Prompt Engineering Basics
Objective: Teach learners how to write better prompts to get accurate, useful, and creative responses from AI tools.
0/1
Prompt Engineering
00:38
Module 4: Wrap-Up
0/2
Wrap-Up: Congratulations!
Resource Appendix
Artificial Intelligence For Smart Work

    What is Artificial Intelligence?

    AI is the simulation of human intelligence in machines that are programmed to think, learn, and make decisions just like we do. It’s a branch of computer science focused on creating systems that can reason, solve problems, understand language, and even perceive their environment.

    Unlike regular programs that need constant human updates, AI can process massive amounts of data, learn from patterns, and improve over time, often with little or no human input.

    It draws on a wide range of disciplines, including data science, neuroscience, linguistics, psychology, and even philosophy, to create smarter, more adaptable machines.

    From self-driving cars to smart assistants, AI is reshaping the way we live and work.

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