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

    A.I Use Cases & Real-Life Examples.

    AI is not science fiction; it’s part of our daily lives. Let me show you how:

    When your phone unlocks using Face ID, that’s AI using facial recognition.

    When Netflix recommends what to watch, that’s AI analyzing your viewing habits.

    When you speak to Siri or Alexa, that’s Natural Language Processing in action.

    In healthcare, AI helps detect diseases faster. In banking, it spots fraudulent transactions.

    Even in agriculture, AI helps farmers predict crop yields and detect pests.

    Bottom line? AI is already shaping your world. You just didn’t know it had a name. Now you do.

    Artificial Intelligence isn’t just a futuristic idea; it’s already here, quietly working behind the scenes in tools we use every day.

    Let’s highlight how AI is applied across different industries and everyday activities.

    Everyday Applications of AI.

    Let’s begin with the most familiar uses. the ones you probably interact with regularly:

    Smartphones:

    Voice Assistants (Siri, Google Assistant, Alexa): Understand your voice commands and respond with relevant actions.

    Autocorrect and Predictive Text: Learn your typing patterns and suggest corrections or next words.

    Face Recognition: Unlock your phone or tag people in photos.

    E-commerce:

    Product Recommendations: AI studies your browsing and purchase history to suggest items you might like. (Think: Jumia, Amazon, Konga.)

    Chatbots: Available 24/7 to answer customer queries, guide purchases, and resolve complaints.

    Entertainment:

    Streaming Services (Netflix, YouTube, Spotify): AI analyzes your preferences and suggests content tailored to your taste.

    Social Media Feeds: AI decides what shows up on your feed, based on your engagement and behavior.

    AI in Healthcare.

    AI is improving healthcare in several ways:

    Medical Imaging: AI helps doctors detect diseases in X-rays and scans faster and more accurately.

    Virtual Health Assistants: Provide health tips, reminders, and even preliminary diagnoses.

    Drug Discovery: Speeding up the development of new medicines through data analysis.

    AI in Transportation.

    Self-Driving Cars: Companies like Tesla and Waymo use AI to navigate roads, detect objects, and make decisions.

    Ride-Hailing Services (Uber, Bolt): AI matches drivers with riders, calculates estimated arrival times, and optimizes routes.

    AI in Finance.

    Fraud Detection: AI monitors transactions for suspicious patterns.

    Credit Scoring: AI helps banks assess the risk level of loan applicants.

    Robo-Advisors: Offer financial advice or manage investments using AI algorithms.

    AI in the Workplace.

    Recruitment Tools: Screen CVs and identify top candidates based on job requirements.

    Virtual Assistants: Schedule meetings, manage emails, and handle repetitive tasks (e.g., Microsoft Copilot, Google Duet).

    Customer Support: AI bots handle initial customer queries, reducing human workload.

    Summary: Real-World AI Touchpoints.

    As you learn to work with AI tools, you’ll begin to see how you can apply them in your own work or industry.

    Previous
    Next