
Generative AI Course for Kids
Definition
• Generative AI makes new things. Like pictures, stories, and music.
• Kids learn how AI creates. Using patterns and examples.
• It helps kids be creative. With fun computer tools.
• AI can draw and write. Just like a helper.
• Kids explore making art. With AI’s smart ideas.
• It teaches how machines learn. From lots of information.
• Generative AI is fun. And great for future skills.
Importance
• Generative AI creates. It makes pictures and stories.
• Kids learn to use. Smart tools for art and writing.
• It helps imagination. Kids can build new ideas.
• AI helps solve problems. In fun and creative ways.
• It teaches tech skills. For future jobs and school.
• Kids practice coding. And working with machines.
• Generative AI is the future. Learning it helps kids grow.
Advantages for Freelancing
• Generative AI makes things. Like pictures, stories, and music.
• Kids learn to create. Using smart computer tools.
• It helps imagination grow. Ideas come to life.
• Kids build new skills. In tech and art.
• It teaches problem solving. With creative thinking.
• Kids have fun projects. Making cool AI work.
• Prepares for future. Jobs with smart technology.
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