Generative AI Course for Kids
Definition
• Generative AI creates text, images, music, and even videos.
• It teaches kids how computers make creative content.
• They learn tools like ChatGPT, DALL·E, and AI art makers.
• Moreover, it’s about understanding how models “imagine” ideas.
• Kids explore how data trains AI to mimic creativity.
• It combines tech, art, and imagination all together.
• Generative AI makes machines more interactive and useful.
Importance
• First, it gives kids new ways to express their imagination.
• It shows how AI helps with stories, design, and creativity.
• Moreover, they gain digital creation skills using smart tools.
• Kids learn how AI is used in games, videos, and more.
• It teaches ethics—knowing when and how to use AI wisely.
• It prepares them for the future of art and communication.
• They begin to see how humans and AI work together.
Advantages for Freelancing
• Freelancers can use AI to design posters, logos, or ads.
• They can write content using AI-based writing assistants.
• Furthermore, they offer creative services with AI efficiency.
• Kids can turn ideas into books, videos, or social posts.
• They produce custom AI artwork for clients and friends.
• AI tools speed up freelancing and increase productivity.
• Clients value creativity combined with smart tech tools.
Session 1 : What is Generative AI and How It Works
Introduction to Generative AI and how it’s different from regular AI
Real-life examples: ChatGPT writing stories, DALL·E making art
Understanding how AI learns patterns and creates new content
Activity: Spot real vs. AI-generated content
Session 2 : Types of Generative AI Tools
Text generation (ChatGPT), image generation (DALL·E, Midjourney), video and music tools
Real-life example: Using AI to write an article or design a poster
Overview of models like GPT, Stable Diffusion, and LLaMA
Activity: Try out a text or image AI tool
Session 3 : How AI is Trained – Behind the Scenes
What are datasets, models, and training in simple terms
Understanding large language models and neural networks
Real-life example: Teaching an AI to complete sentences
Activity: Visualize how an AI model “learns” using examples
Session 4 : Text, Image, and Code Generation
Creating stories, emails, poems using text AI
Designing graphics, logos, and avatars with image AI
Generating code for websites or apps with AI tools
Activity: Generate something with AI and improve it manually
Session 5 : Prompt Engineering Basics
What is a “prompt” and how to write good ones
Real-life example: Asking AI for specific tasks like lesson plans
Tips for clarity, context, tone, and creativity
Activity: Practice writing different prompts for different tasks
Session 6 : Ethics and Responsibility in AI Use
Deepfakes, misinformation, bias, and content authenticity
Real-life example: Using AI responsibly in school or work
The importance of transparency and ethical usage
Activity: Group discussion on what’s right vs. risky with AI
Session 7 : Real-World Applications of Generative AI
AI in education, healthcare, marketing, gaming, and design
Case studies: Businesses using AI to boost productivity
Real-life example: A company using AI to generate ads
Activity: Brainstorm an app idea that uses Generative AI
Session 8 : Careers & Future of Generative AI
AI-related roles: Prompt engineer, AI trainer, model tester
Skills to learn: Python, ML, NLP, and ethics
Real-life example: How people are building startups using AI
Activity: Create your own “dream AI app” sketch or concept
Bonus Materials
Prompt engineering cheat sheet
List of popular AI tools (text, image, video)
AI usage policy template
Portfolio project ideas using Generative AI
Certificate of Completion for Generative AI