An interactive AI learning path.
A state-of-the-art curriculum built on professional AI design guides from Anthropic and Google, customized specifically for students ages 13+.
Cohort 1: AI Explorers
Foundations of GenAI & Prompt Engineering
Perfect for teens starting their AI journey. We focus on building strong conceptual models of LLMs, mastery of foundational prompt structures, and creative multi-modal generation.
Key Milestones
- 1
Week 1: Deciphering the AI Black Box
Create an "AI Safety Charter" explaining how to identify hallucinations and verify LLM outputs.
- 2
Week 2: The Multi-Modal Palette
Write, illustrate, and voice an interactive comic book utilizing visual and audio AI generation.
- 3
Week 3: Structural Prompt Patterns
Build a customized "Study Helper Bot" that asks guiding questions instead of giving direct answers.
- 4
Week 4: Capstone: Custom Chat Agents
Design and deploy a bespoke AI Companion (e.g. text adventure game master, foreign language tutor) with custom behavior.
Syllabus & Core Modules
A comprehensive view of the concepts and projects we cover week-by-week.
Deciphering the AI Black Box
- What is a Large Language Model (LLM)?
- Understanding tokens, patterns, and probability
- The ethics of AI: bias, hallucinations, and safety guidelines
- Drafting your first structured system instruction
Create an "AI Safety Charter" explaining how to identify hallucinations and verify LLM outputs.
The Multi-Modal Palette
- Steering visual generation models (Midjourney, DALL-E 3)
- Parameters: Aspect ratios, style weights, and seed consistency
- Voice synthesis and text-to-speech with ElevenLabs
- Crafting multi-modal stories with AI co-creators
Write, illustrate, and voice an interactive comic book utilizing visual and audio AI generation.
Structural Prompt Patterns
- Role-playing prompts: Defining personas, contexts, and boundaries
- Few-Shot prompting: Teaching AI through structured input-output pairs
- Controlling output shapes: Requesting tables, Markdown, and custom lists
- The Chain of Thought (CoT) method: Forcing the AI to explain its reasoning steps
Build a customized "Study Helper Bot" that asks guiding questions instead of giving direct answers.
Capstone: Custom Chat Agents
- Consolidating prompt engineering techniques
- Designing system prompts with strict instructions and guardrails
- User testing and iterating on custom agent performance
- Showcasing project architecture
Design and deploy a bespoke AI Companion (e.g. text adventure game master, foreign language tutor) with custom behavior.
Interactive Prompt Playground
See the power of industry-standard prompting. Toggle between a basic prompt and an expert, structured system instruction.
Task: Generating a story