Kids IT Courses

Kids Generative AI Certification Course

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