Curriculum outline · 50-session course
Generative AI Creator Program
For young learners 10+ · One-to-one · 5 levels · One hour per session.
Every session = Theory · Practical · Tool
From a first chatbot conversation to a fully multi-modal capstone — chatbots, image, audio & video generation, ethics, and a portfolio your child fully owns.
- Sessions
- 50
- Levels
- 5
- Age
- 10+
- Online & Offline
- 1:1
- Project-based
- 100%
Level 1 · Sessions 1–10
Introduction to Generative AI
Building AI literacy — what GenAI is, how to talk to it, and how to tell truth from confident fiction.
Introduction to Generative AI
Showcase: A personal AI cheat-sheet · ChatGPT · Gemini · Claude
| # | Session & Theory | Practical | Tool |
|---|---|---|---|
| 1 | What is Generative AI? Core definition; the “brilliant intern” analogy; what AI can and cannot do. | First free-form chat with a chatbot; record what surprised them. | ChatGPT / Gemini / Claude |
| 2 | The Big Three Chatbots How the main platforms differ in strengths and quirks. | Run one prompt across all three chatbots and compare outputs side by side. | ChatGPT, Gemini, Claude |
| 3 | Anatomy of a Prompt The R-T-C-F framework (Role, Task, Context, Format). | Rewrite a weak prompt using R-T-C-F; observe how output quality improves. | Any chatbot |
| 4 | Show, Don’t Tell (Few-Shot) How giving examples teaches the AI style and pattern. | Write two examples and prompt the AI to generate a third in the same style. | Any chatbot |
| 5 | AI Study Buddy AI as a personalised tutor; active retrieval vs passive reading. | Ask the AI to quiz them on a current school topic with tailored questions. | Any chatbot |
| 6 | Hallucinations & Verification Why AI fabricates plausible answers; confidence is not accuracy. | Fact-check an AI answer against a real source; spot the discrepancy. | Any chatbot + web search |
| 7 | AI in Everyday Life Mapping real-world AI use cases to daily tasks; capability vs hype. | Identify 3 practical AI uses in their own week and test one of them. | Any chatbot |
| 8 | Conversations That Build Multi-turn context; how follow-up prompts steer a conversation. | Run a 5-turn conversation that progressively refines a creative idea. | Any chatbot |
| 9 | Custom Personas System-level role-setting; how personas shape tone, style and expertise. | Build a named AI persona and hold a full conversation in character. | Any chatbot |
| 10 | Level 1 Project Synthesis and reflection on all Level 1 skills. | Combine persona, R-T-C-F and multi-turn prompting in one extended project. | Any chatbot |
Level 1 · 10 sessions
Each session includes a Trainer Deck and a YEA-branded Student Deck.
Level 2 · Sessions 11–20
Prompting Mastery
From basic prompts to reliable craft — reasoning, creative writing, structure, research and choosing the right model.
Prompting Mastery
Showcase: A polished research brief · ChatGPT · Gemini · Claude
| # | Session & Theory | Practical | Tool |
|---|---|---|---|
| 11 | Think Step by Step Chain-of-thought prompting; reasoning aloud improves accuracy. | Add “think step by step” to a complex problem; compare to a direct answer. | Any chatbot |
| 12 | Creative Writing AI as a creative collaborator; controlling genre, voice and style. | Co-write a short story scene using genre and style guidance in the prompt. | Any chatbot |
| 13 | AI as Editor Using AI for feedback, targeted revision and structured redrafting. | Paste a piece of their own writing and request specific, labelled edits. | Any chatbot |
| 14 | Research & Summarising Summarisation depth, glossaries and source limits. | Summarise a topic into bullets, then expand with a key-terms glossary. | Any chatbot |
| 15 | Structured Output Controlling output shape — tables, lists, JSON; format in the prompt. | Prompt the AI to produce a formatted comparison table of three real options. | Any chatbot |
| 16 | School Projects & Integrity Academic green vs red zone; citing AI assistance. | Reframe a past assignment to use AI within ethical limits and write a citation. | Any chatbot |
| 17 | AI & Languages AI as translator and language coach; back-translation as a quality check. | Translate a short passage, back-translate and identify meaning shifts. | Any chatbot |
| 18 | Reusable Prompt Templates Building a personal prompt library using placeholders. | Write three prompt templates and test each across different topics. | Any chatbot |
| 19 | Choosing the Right Model Task-to-tool matching; cost and capability trade-offs. | Given 3 different tasks, pick and justify the best chatbot for each. | ChatGPT, Gemini, Claude |
| 20 | Level 2 Project Synthesis and reflection on all Level 2 prompting skills. | Produce a full research brief — summary, table, edited draft, cited responsibly. | Mixed chatbots |
Level 2 · 10 sessions
Prompting craft that carries across every later level and tool.
Level 3 · Sessions 21–30
Visual Creation
Generating and directing AI images — prompt recipes, art styles, composition, editing, consistency and ethics.
Visual Creation
Showcase: A themed visual set · Ideogram · Adobe Firefly · Canva
| # | Session & Theory | Practical | Tool |
|---|---|---|---|
| 21 | How AI Images Work Diffusion models and latent space; what the model “sees” vs generates. | Generate 3 images from identical prompts; observe variation and discuss why. | Ideogram / Firefly |
| 22 | Image Prompt Recipe Subject + style + lighting + mood as a reusable four-part formula. | Build a prompt ingredient by ingredient; compare partial vs full prompt. | Ideogram / Firefly |
| 23 | Styles & Art Control Named artistic movements and how they steer aesthetic output. | Generate one scene in three named art styles; discuss the differences. | Ideogram / Firefly |
| 24 | Composition & Camera Language Framing vocabulary (close-up, wide shot, rule of thirds). | Add camera and composition terms to a prompt; compare before/after. | Ideogram / Firefly |
| 25 | Editing & Iterating Images Inpainting, outpainting and targeted iteration. | Edit a generated image by masking a region and repainting with new instructions. | Ideogram / Firefly |
| 26 | Text & Logos in AI Images Why AI text rendering fails; workarounds for legible text. | Create a poster with readable headline text using text-handling mode. | Ideogram |
| 27 | Design with AI (Canva) AI as a layout assistant; raw image to finished asset. | Import a generated image into Canva and produce a finished social media post. | Canva + image generator |
| 28 | Visual Consistency Maintaining character and style continuity across images. | Generate three images of the same subject in different settings, locked style. | Ideogram / Firefly |
| 29 | Ethics of AI Images Copyright, consent, deepfakes and the disclosure obligation. | Audit three generated images on ethical criteria; write a personal rule set. | Discussion + any image tool |
| 30 | Level 3 Project Synthesis and reflection on all Level 3 visual skills. | Design a themed visual set — comic strip, mini brand kit or poster series. | Mixed image tools + Canva |
Level 3 · 10 sessions
Outputs build a visual portfolio the student carries into Level 4.
Level 4 · Sessions 31–40
Audio & Video
Bringing work to life with sound and motion — voice, music, songwriting, text-to-video, avatars and editing.
Audio & Video
Showcase: A full short video · ElevenLabs · Suno · Runway · HeyGen · CapCut
| # | Session & Theory | Practical | Tool |
|---|---|---|---|
| 31 | AI Voice & Text-to-Speech How TTS synthesis works; voice direction; cloning ethics. | Generate a narrated script clip; experiment with delivery style settings. | ElevenLabs |
| 32 | AI Music Basics How music models interpret genre, mood and instrument prompts. | Generate a short track from a genre + mood description; iterate on the prompt. | Suno |
| 33 | Songwriting with AI Lyric structure and how iterative prompting shapes a song. | Co-write a full set of lyrics with the AI, then generate the complete track. | Suno |
| 34 | Sound for Content Layering voice and music; ducking, pacing and mixing principles. | Layer a voice recording over an AI music bed with audible balance. | Suno + audio editor |
| 35 | How AI Video Works Frame prediction, motion tokens and the current tool landscape. | Compare two text-to-video outputs from one prompt; discuss quality vs expectation. | Runway / Pika / Kling |
| 36 | Video Prompting Motion verbs and camera-move vocabulary for guiding AI video. | Rewrite a static image prompt with motion and camera language; compare. | Runway / Pika |
| 37 | Image-to-Video Animating still images; keyframe controls and motion intensity. | Animate a Level 3 portfolio image into a short video clip. | Runway / Pika |
| 38 | AI Avatars How avatar generation works; disclosure and consent obligations. | Create a short avatar explainer video; add a disclosure label. | HeyGen |
| 39 | Putting It Together (Editing) Sequencing, trimming, captioning and pacing. | Assemble a 30–60 second captioned video from session-produced assets. | CapCut / Canva Video |
| 40 | Level 4 Project Synthesis and reflection on all Level 4 audio & video skills. | Produce a complete short video: script, voice, music, visuals and final edit. | Suno + ElevenLabs + video + editor |
Level 4 · 10 sessions
Voice, music and video assets feed directly into the capstone.
Level 5 · Sessions 41–50
Synthesis, Ethics & Capstone
Chaining every skill into multi-tool pipelines, a custom assistant, a strong ethics grounding and a self-built capstone.
Synthesis, Ethics & Capstone
Showcase: A multi-modal capstone · Custom GPTs & Gems · all tools
| # | Session & Theory | Practical | Tool |
|---|---|---|---|
| 41 | Multi-Tool Workflows Pipeline thinking; chaining idea → text → image → audio → video. | Map and execute a 4-step multi-tool workflow, tracking handoffs at each stage. | Mixed (chatbot + image + A/V) |
| 42 | Build a Custom Assistant Role, rules and examples; instruction design principles. | Configure, name and test a custom assistant; tune the rules from test results. | ChatGPT GPTs / Gemini Gems |
| 43 | Passion Project Scoping a personal project: goal, audience, tools and a first slice. | Write a project brief and pipeline map for a self-chosen idea; reality-check with AI. | Mixed — student’s choice |
| 44 | Social Media Content Campaign consistency; responsible and accurate posting. | Plan and create a 3-post campaign with matched visuals and a disclosure label. | Chatbot + image + Canva |
| 45 | Ethics & Safety Deep-Dive Five risks: bias, misinformation, privacy, deepfakes, disclosure. | Audit a real workflow against the five-risk checklist; write a reusable disclosure label. | Discussion + any chatbot |
| 46 | Academic Integrity Honest vs dishonest use; the “would I tell the teacher?” test. | Sort scenario cards into green/red/ask; write a personal 5-rule honest-use charter. | Discussion + any chatbot |
| 47 | Personal Toolkit A living AI playbook; prompt templates over memory. | Harvest best prompts, tools, workflows and rules from the portfolio into one document. | Mixed + any chatbot |
| 48 | Capstone Planning Five-part plan (idea, modalities, tools, criteria, backup). | Write and stress-test a capstone plan; confirm it fits within one build session. | Mixed — planning only |
| 49 | Capstone Build Execution discipline under time pressure; done beats perfect. | Build the multi-modal capstone start to finish in one one-hour session. | Mixed — own pipeline |
| 50 | Showcase & Future Reflection on growth; the timeless skills beneath the tools. | Present the capstone, reflect on the 50-session journey, write a what’s-next roadmap. | None — present & reflect |
Level 5 · 10 sessions
Ends with a self-built, multi-modal capstone and a what-next roadmap.
Explore more at YEA
What's included & what's next
Every session is one hour, one-to-one, with theory, a practical and a real tool.
What every session includes
- One-to-one - live coaching, 1 hour
- A Trainer Deck - editorial cue cards
- A Student Deck - YEA-branded slides
- A hands-on practical - in every session
- Industry-standard tools - set up & supervised
- A growing portfolio - your child fully owns
Six future-skills verticals
Explore what else your child can grow into
Generative AI is one of six future-skills verticals at Young Engineers' Academy.
Robotics
Design, build and program real robots — motors, sensors and mission bots.
Coding
From visual block coding to real languages — games, apps and logic.
Generative AI · You're here
Create stories, art, video and AI tools — the 50-session journey in this plan.
Drones
Understand flight, assemble drones and learn to pilot them safely.
3D Printing
Model objects in 3D, then design and print creations to hold in their hands.
STEM
Hands-on science and engineering that turn curiosity into real understanding.
Advanced track · Sessions 51–130
Generative AI Builder Program
For learners 13+ who’ve finished the foundation course · One-to-one · 8 levels · One hour per session.
From using AI to building with it
No traditional coding. Learners build real web apps, knowledge systems, automations, AI agents and a mobile app — by describing clearly and iterating, entirely on free tools.
- Sessions
- 80
- Levels
- 8
- Age
- 13+
- Online & Offline
- 1:1
- Build real things
- No-Code
Level 6 · Sessions 51–60
Thinking Like a Builder
Shifting from using AI to building with it — and losing the fear. You become the director who decides what gets built.
This level uses Bolt, an AI app-builder that runs on monthly credits/tokens. We work within its free tier wherever possible; any paid credits or upgrades are separate from the course fee.
Thinking Like a Builder
Showcase: Idea → brief → first working app · Bolt · Figma · Claude
| # | Session & Concept | Practical | Tool |
|---|---|---|---|
| 51 | From User to Builder Anyone can build now; describing clearly is the real skill. | List 5 things you wish existed; pick one to build over the course. | Claude |
| 52 | What Is an App, Really? Apps = screens + data + logic reacting to people. | Take a favourite app apart: name its screens, data and actions. | Phone + discussion |
| 53 | Vibe Coding 101 You describe in plain words; AI builds; you test and refine. | Build a first tiny app from a one-paragraph description. | Bolt |
| 54 | The Build-Prompt Recipe Goal + screens + data + style + who it’s for. | Turn a vague app idea into a structured build brief. | Bolt |
| 55 | Iterate, Don’t Restart Small changes beat starting over (and save credits). | Improve one app across 5 small change requests. | Bolt |
| 56 | Reading What AI Builds You needn’t code, but you should understand the parts. | Have AI explain your app’s pieces in plain language. | Claude |
| 57 | When the Build Breaks Errors are normal; precise descriptions fix them. | Break something on purpose; fix it by describing it well. | Bolt + Claude |
| 58 | Plan Before You Build A paper sketch saves ten prompts. | Sketch screens and flow before touching Bolt. | Paper + Figma |
| 59 | Staying Within Limits Free tools have caps; smart workflow makes them last. | Make a personal “credit-saver” checklist for the course. | All |
| 60 | Level 6 Project Idea → brief → simple working app. | Sketch, brief and build one small app end to end. | Bolt + Figma |
Level 6 · 10 sessions
Level 7 · Sessions 61–70
Building Web Apps with Bolt
Build real, useful web apps by describing them — working on one growing project to save credits and go deeper.
This level uses Bolt and Google AI Studio, which run on monthly credits/tokens. We keep the work within free tiers; any paid credits or upgrades are separate from the course fee.
Building Web Apps with Bolt
Showcase: A multi-feature web app with an AI feature · Bolt · Canva · Google AI Studio
| # | Session & Concept | Practical | Tool |
|---|---|---|---|
| 61 | Anatomy of a Web App Pages, buttons, inputs and what happens on click. | Build a one-page app with a working button and response. | Bolt |
| 62 | Capturing Information Forms and inputs let an app collect what people type. | Build a form that collects and echoes back the input. | Bolt |
| 63 | Storing Data Apps remember things in a database — no code needed. | Add saving so the app remembers entries after refresh. | Bolt |
| 64 | Lists & Layouts Showing many items cleanly is most of app design. | Display saved items as a tidy, filterable list. | Bolt |
| 65 | Making It Look Good Style, colour and spacing decide if an app feels real. | Restyle the app to match a chosen look and feel. | Bolt + Canva |
| 66 | Give Your App an AI Brain Apps can call AI to summarise, answer or generate. | Add an AI feature (e.g. a smart summariser). | Bolt + Google AI Studio |
| 67 | Connecting to the Outside Apps pull live info through integrations. | Add live data (weather, quotes) from a connection. | Bolt |
| 68 | Multi-Screen Apps Real apps navigate between screens. | Build a 3-screen app with working navigation. | Bolt |
| 69 | Test Like a User You can’t see your own app’s confusions — others can. | Have 2 people use it; fix the biggest confusion. | Bolt + friends |
| 70 | Level 7 Project A genuinely useful multi-feature web app. | Ship an app with data, a list, style and one AI feature. | Bolt |
Level 7 · 10 sessions
Level 8 · Sessions 71–80
Claude Mastery: Your AI Workspace
Master Claude as a thinking-and-building partner, not just a chatbot — like outfitting your best intern with a desk, files, tools and house rules.
Claude Mastery: Your AI Workspace
Showcase: A Claude workspace that does real work · Projects · Artifacts · Styles · Connectors
| # | Session & Concept | Practical | Tool |
|---|---|---|---|
| 71 | Beyond the Chat Box Claude is a workspace, not just a Q&A bot. | Tour the features; pick 3 you’ll use this level. | Claude |
| 72 | Projects: A Home for Work Projects keep context, files and chats together. | Set up a Project for your capstone with key files. | Claude (Projects) |
| 73 | Artifacts: Things You Keep Artifacts turn answers into editable docs, apps and visuals. | Build a small interactive tool as an Artifact. | Claude (Artifacts) |
| 74 | Styles & Custom Instructions Teach Claude your voice and rules once, reuse forever. | Create a personal style so Claude writes like you. | Claude (Styles) |
| 75 | Claude-Powered Mini-Apps Artifacts can call AI to become smart, working apps. | Build an AI-powered Artifact (quiz maker, advisor). | Claude (Artifacts) |
| 76 | Connecting Claude to Your Tools Connectors let Claude work with your apps and files. | Connect a tool; have Claude use it on a real task. | Claude (connectors) |
| 77 | Claude Code & Cowork Claude can run multi-step tasks across files and projects. | Try a guided multi-step task; note what it automated. | Claude |
| 78 | Advanced Prompt Engineering Structure, examples and constraints get expert results. | Rewrite a weak prompt into an expert one; compare. | Claude |
| 79 | Building a Custom Assistant A configured assistant beats a generic chat every time. | Build a genuinely useful personal assistant setup. | Claude (Projects + Styles) |
| 80 | Level 8 Project A Claude workspace that does real work. | Ship a Project + Style + an AI Artifact for a real need. | Claude |
Level 8 · 10 sessions
Built entirely on Claude’s free workspace — no paid build credits needed.
Level 9 · Sessions 81–90
Knowledge & Research with AI
Make AI answer from YOUR sources, reliably — the foundation of trustworthy AI work. Give the intern your filing cabinet so it stops guessing and starts citing.
Knowledge & Research with AI
Showcase: A grounded, cited mini-research piece · NotebookLM · Claude
| # | Session & Concept | Practical | Tool |
|---|---|---|---|
| 81 | Why AI Makes Things Up Models guess when they lack sources; grounding fixes it. | Catch a hallucination, then ground the same question in a source. | Claude + discussion |
| 82 | Meet NotebookLM An AI that answers only from documents you give it. | Create a notebook; chat with 3 of your own sources. | NotebookLM |
| 83 | Choosing Good Sources Output quality depends entirely on source quality. | Build a topic notebook; test answers for accuracy. | NotebookLM |
| 84 | Citations & Trust Grounded AI shows where each claim came from. | Verify 5 answers against their cited passages. | NotebookLM |
| 85 | Study Tools on Demand Turn sources into guides, quizzes and flashcards. | Turn class material into a study guide + quiz. | NotebookLM |
| 86 | Audio & Video Overviews AI can explain your sources as a podcast or video. | Generate an Audio Overview of something you’re learning. | NotebookLM |
| 87 | Research Workflows Synthesising across sources beats reading each one. | Compare what 5 sources say on one question. | NotebookLM + Claude |
| 88 | NotebookLM + Claude Together Research in one tool, create in another. | Research in NotebookLM; draft the output in Claude. | NotebookLM + Claude |
| 89 | Your Personal Knowledge Base A living notebook becomes a second brain. | Start a notebook you’ll keep adding to all course. | NotebookLM |
| 90 | Level 9 Project A grounded, cited mini-research piece. | Produce a source-cited explainer on a chosen topic. | NotebookLM + Claude |
Level 9 · 10 sessions
Uses NotebookLM and Claude on their free tiers — no paid build credits needed.
Level 10 · Sessions 91–100
n8n Automation: Your Tireless Assistant
Make repetitive tasks run themselves — like hiring a tireless assistant that follows your instructions exactly, every time, while you sleep.
This level uses n8n (cloud), which has execution limits on its free plan. We build and test within those limits; any paid plan or extra executions are separate from the course fee.
n8n Automation: Your Tireless Assistant
Showcase: A useful automation that saves real time · n8n
| # | Session & Concept | Practical | Tool |
|---|---|---|---|
| 91 | What Is Automation? Computers excel at boring, repeating, rule-based work. | List 10 repetitive tasks; pick ones worth automating. | n8n + discussion |
| 92 | The n8n Canvas Workflows are boxes (steps) joined by arrows. | Tour the workspace; run a ready-made example workflow. | n8n |
| 93 | Triggers: What Starts It Every automation begins with an event or a schedule. | Build a workflow that runs on a schedule. | n8n |
| 94 | Actions: What It Does Each node does one job; chaining them does a lot. | Connect a trigger to a two-step action. | n8n |
| 95 | Moving Data Between Steps The real skill is mapping fields from one app to the next. | Pass data correctly from one node into the next. | n8n |
| 96 | Logic & Filters “Only if…” rules make automations smart. | Add a filter so it acts only on certain items. | n8n |
| 97 | Connecting Real Apps Automations shine when they link the tools you use. | Link two apps (e.g. form → sheet → email). | n8n |
| 98 | Webhooks, Gently Apps can poke your workflow the instant something happens. | Trigger a workflow from an external event. | n8n |
| 99 | When Automations Fail Good builders plan for errors and retries. | Add error handling; make it alert you on failure. | n8n |
| 100 | Level 10 Project A useful automation that saves real time. | Build and test a multi-step automation for a real task. | n8n |
Level 10 · 10 sessions
Level 11 · Sessions 101–110
AI Agents with n8n
Build systems that don’t just follow steps but DECIDE and use tools — your tireless assistant grows judgement: it can think, look things up and choose what to do next.
This level uses n8n (cloud) and Gemini AI steps, which run on free-tier execution and token limits. We stay within them; any paid plan or credits are separate from the course fee.
AI Agents with n8n
Showcase: A working, grounded, multi-step agent · n8n · Gemini
| # | Session & Concept | Practical | Tool |
|---|---|---|---|
| 101 | From Automation to Agent Automation follows fixed steps; agents decide steps. | Map one task as fixed steps vs. as an agent’s goal. | n8n + discussion |
| 102 | Adding an AI Step An AI node can read, classify, write or decide in a flow. | Add an AI node that sorts or summarises incoming text. | n8n + Gemini |
| 103 | Prompting Inside Workflows The prompt is the agent’s job description. | Tune a prompt so the AI step behaves reliably. | n8n |
| 104 | Chaining AI Steps One AI step’s output feeds the next. | Chain idea → draft → polish across AI nodes. | n8n |
| 105 | Giving Agents Tools Agents get powerful when they can search, calculate, act. | Let an agent use a tool to finish a task. | n8n |
| 106 | Memory & Context Agents must remember across a run or conversation. | Add memory so an agent recalls earlier inputs. | n8n |
| 107 | Grounding Agents (RAG) Connect your knowledge so agents answer from facts. | Build an agent that answers from your documents. | n8n + knowledge source |
| 108 | Guardrails & Safety Agents fail confidently; limits and checks are essential. | Add a check/limit so the agent can’t run wild. | n8n |
| 109 | Build a Helpful Agent A goal-driven assistant for one real recurring job. | Build an agent that handles a real chore end to end. | n8n |
| 110 | Level 11 Project A working, grounded, multi-step agent. | Ship an agent that plans, uses a tool and self-checks. | n8n |
Level 11 · 10 sessions
Level 12 · Sessions 111–120
Building Mobile Apps with AI
Build an app that lives on a phone — same studio, new stage: designing for a small screen in someone’s hand. Building and testing only; no app-store publishing.
This level uses Thunkable / Adalo mobile builders. Building and on-device testing are free; only optional app-store publishing or premium plans cost money, and these are separate from the course fee.
Building Mobile Apps with AI
Showcase: A finished app running on your own phone · Thunkable / Adalo · Figma · Canva
| # | Session & Concept | Practical | Tool |
|---|---|---|---|
| 111 | Web App vs. Mobile App Phones change how people tap, scroll and expect things. | Compare a site and its app; list mobile-specific needs. | Phone + discussion |
| 112 | Meet Your Mobile Builder No-code AI builders make real phone apps you can test. | Generate a first app from a prompt; preview on your phone. | Thunkable / Adalo |
| 113 | Screens & Navigation A mobile app is a set of screens you move between. | Build a 3-screen app with a working nav bar. | Thunkable / Adalo |
| 114 | Components & Interactions Buttons, lists, inputs, images — the building blocks. | Assemble a screen with several working components. | Thunkable / Adalo |
| 115 | Data in a Mobile App Apps store and show user data. | Add saving so the app remembers data between uses. | Thunkable / Adalo |
| 116 | Designing for Thumbs Mobile design means big targets and a clear flow. | Redesign a screen for one-handed phone use. | Figma / Canva |
| 117 | Adding an AI Feature A small AI feature makes a simple app feel magic. | Add an AI feature (chat, suggestion, classifier). | Thunkable + AI |
| 118 | Testing on a Real Device Nothing reveals problems like using it on your own phone. | Test on a phone; log and fix issues. | Companion app |
| 119 | Polishing the App Icon, name, splash — the details that feel finished. | Add icon, name and final polish (no store publish). | Builder + Canva |
| 120 | Level 12 Project A finished app, running on your own phone. | Build a complete personal app, tested live on a device. | Thunkable / Adalo |
Level 12 · 10 sessions
Level 13 · Sessions 121–130
Ship It: Product, Ethics & Capstone
Turn a build into something real and shared, responsibly — graduating from “I made a thing” to “I run a small studio people trust.”
The capstone may use credit-based build tools (e.g. Bolt or mobile builders) depending on the student’s project. We plan it to fit free tiers; any paid credits or publishing are separate from the course fee.
Ship It: Product, Ethics & Capstone
Showcase: A live capstone combining text, app, automation & AI · Mixed toolkit
| # | Session & Concept | Practical | Tool |
|---|---|---|---|
| 121 | Project vs. Product A product is a project a stranger can use without you. | Audit a build: what’s missing before others could use it? | Discussion |
| 122 | Designing for Real People Good products are obvious and forgiving. | Simplify your product’s first-use experience. | Figma / Canva |
| 123 | Sharing Your Work Getting something in front of users is its own skill. | Publish a preview link; send it to 5 people. | Bolt / builder |
| 124 | Feedback Loops Real users reveal what you can’t see. | Collect feedback; turn it into a prioritised fix list. | Forms + product |
| 125 | Privacy & Data Responsibility Once people use it, their data is your responsibility. | Write a plain-language privacy note for your product. | Discussion |
| 126 | The Ethics of Building AI Building carries more responsibility than using. | Audit your project for bias, misuse and harm; add safeguards. | Discussion |
| 127 | Telling Your Story A build needs a clear pitch to matter to anyone. | Make a 1-page or 60-second pitch. | Canva / Claude |
| 128 | Capstone Planning Scope something ambitious but finishable. | Pick and plan a multi-tool capstone. | Mixed |
| 129 | Capstone Build Bring text, app, automation and AI together. | Build the capstone using the full toolkit. | Mixed |
| 130 | Showcase & Future Present, reflect and map what’s next. | Demo the live project; build a self-directed learning roadmap. | — |
Level 13 · 10 sessions
Explore more at YEA
What's included & what's next
Every session is one hour, one-to-one, and ends with something that runs.
What every session includes
- One-to-one - live coaching, 1 hour
- A hands-on build - in every session
- A growing portfolio - of things that run
- Free-tier tools - set up & supervised
- Credit-smart workflow - taught throughout
- A real capstone - the student fully owns
Six future-skills verticals
Explore what else your child can grow into
Generative AI is one of six future-skills verticals at Young Engineers' Academy.
Robotics
Design, build and program real robots — motors, sensors and mission bots.
Coding
From visual block coding to real languages — games, apps and logic.
Advanced AI · You're here
Use it, then build with it — the 130-session journey continues here.
Drones
Understand flight, assemble drones and learn to pilot them safely.
3D Printing
Model objects in 3D, then design and print creations to hold in their hands.
STEM
Hands-on science and engineering that turn curiosity into real understanding.
Give your explorer a term they'll remember.
Young Engineers' Academy — a RoboKidz brand
Contact +91 89 564 92530 · robokidz.co.in