Course Content
AI: The Magic Behind the Scenes
In this module, we'll unravel the mysteries of AI! We'll define what AI truly means, explore different types of AI like machine learning and deep learning, and learn to distinguish between real AI and science fiction.
0/3
What is AI?
04:04
Types of AI
02:42
Artificial Intelligence
00:15:00
AI in Action: Shaping Our World
Get ready to see AI in action! We'll explore how AI is transforming the world around us, from self-driving cars to personalized music recommendations. We'll also dive into the exciting world of AI and creativity, exploring AI-generated art and music.
0/2
AI Everywhere!
01:55
AI and Creativity
00:00
The AI Revolution: Challenges and Opportunities
Let's think critically about the impact of AI on society. We'll discuss the ethical challenges, such as job displacement and bias in AI systems, and explore the incredible opportunities that AI presents for the future.
0/2
The Ethical Side of AI
00:00
The Future of AI
00:00
AI: The Future Is Now!
In this final module, we'll reflect on how AI might shape our own futures. We'll discuss how AI can impact our careers and personal lives. For the more adventurous, we'll even explore a simple AI project that you can start working on!
0/2
AI in My Future
00:00
Optional: Building Your Own AI Project
03:21
The Future is AI: Learn It, Today!
About Lesson

Guide: Your First AI Project!

This guide will walk you through building a simple AI project using a beginner-friendly platform. We’ll focus on image classification, teaching a computer to recognize different objects.

1. Choose Your Platform

Google Teachable Machine: A user-friendly web-based tool that allows you to train simple machine learning models using images, sounds, or poses.

For this guide, we’ll use Google Teachable Machine for its simplicity.

2. Gather Your Data

Choose your objects: Select a few distinct objects to classify (e.g., cat, dog, apple, banana).

Collect images: Gather a set of images for each object. Aim for at least 20-30 images per object. Ensure good lighting and clear images.

3. Train Your Model

Open Teachable Machine: Go to teachablemachine.withgoogle.com.

Select “Image” from the options.

Upload your images: Upload the images for each object into the corresponding categories.

Train the model: Click the “Train” button. The model will analyze the images and learn to identify the features of each object.

4. Test Your Model

Use the webcam: Use your webcam to test the model in real-time. Point the camera at an object, and the model will try to classify it.

Check accuracy: Experiment with different objects and see how accurately the model can classify them.

5. Export and Share (Optional)

Export the model: Teachable Machine allows you to export your trained model in different formats, which you can then use in other applications.

Share your project: Share your project with friends and family to show off your AI creation!

Tips for Success:

Use high-quality images: Clear, well-lit images will help your model learn more effectively.

Gather enough data: More data generally leads to better model accuracy.

Experiment with different objects: Try classifying different types of objects to explore the capabilities of the model.

Have fun! The goal is to learn and experiment with AI in a fun and engaging way.

This guide provides a basic introduction to building a simple AI project. Remember to explore the features of your chosen platform and experiment with different approaches to see what you can create!

Previous
Next