ABCsteps module path
Lessons 11-15 · Intermediate
Module C: Full-Stack Systems
Understand how frontends, backends, APIs, databases, and AI providers work together inside useful products.Treat this module as a five-step proof path: open the first lesson, build each artifact, and keep evidence reviewable.
- Module path
- 5 lessons
- Milestone
- C
- Proof mode
- Public
Operating ecosystem
Real tools, real company surfaces, truthful boundaries.
This module teaches skill patterns used across product, cloud, and AI teams. Logos are ecosystem references only: no affiliation, interview access, hiring promise, salary promise, or placement guarantee.
Module proof ladder
Five lessons become five inspectable artifacts.
Each module is designed as a visible chain: learn the skill word, build the lab, write the proof line, and keep the result reviewable. Company and platform logos are context for the ecosystem, not a hiring shortcut.
Module signal
By the end of Module C, a learner should be able to explain the module project, name the tools used, and point to evidence another engineer can inspect.
Ecosystem references only: no affiliation, endorsement, interview access, hiring preference, salary outcome, or placement guarantee.
Lesson 11 · Model API
AI Products Are API Systems
Skill signal: Model API calls
Proof artifact: Trace an AI request from interface to provider and back.
Show the model request path, the server boundary, and where secrets, cost, and response handling live.
Lesson 12 · Frontend
Frontend and Backend: The Full Picture
Skill signal: Frontend backend split
Proof artifact: Draw and implement the first full-stack boundary.
Show a diagram or README section that separates browser, server, data contract, and storage responsibilities.
Lesson 13 · API server
Create Your Own API
Skill signal: Express endpoints
Proof artifact: Build an API route and call it from the frontend.
Show the endpoint, sample input, sample output, error case, and the frontend call that uses it.
Lesson 14 · Database access
Databases: Store Data Permanently
Skill signal: Persistent storage
Proof artifact: Store and retrieve leaderboard records with SQLite.
Show the table shape, one insert, one read, and the reason the data survives a refresh.
Lesson 15 · Interface
Milestone: Online Leaderboard Works
Skill signal: Full-stack integration
Proof artifact: Ship a working leaderboard milestone.
Show the working leaderboard, the API boundary, the persisted data, and the end-to-end check.
After this module
Finish the five-lesson proof before choosing support.
A module page should not push a learner into support early. The right sequence is public reading, visible artifacts, then support only when live accountability, doubt review, or project feedback would change the work.
Public
Read the module in order
Start at lesson 11. Do not skip ahead until the first lab artifact is visible.
Open lesson 11Proof
Keep the milestone reviewable
The module is complete when Build a small full-stack leaderboard with persistent data. can be explained, run, and reviewed.
Open lesson 15
Recorded
Recorded support
Use recorded walkthroughs, study pack, WhatsApp Q&A, and final review when self-reading needs a guided layer.
Open recorded support
Live
Live Cohort
Use cohort only when scheduled online classes, peer pressure, and live Q&A would change consistency.
Open CohortPrivate
1:1 Mentorship
Use mentorship only when a real project, career move, or technical decision needs private founder review.
Open MentorshipProfessional
Architecture Review
Use architecture review for a specific codebase, stack, vendor, or deployment decision; it is not beginner lesson support.
Open Architecture ReviewInstitution
Workshop
Use workshops when a college, school, bootcamp, or team needs a shared AI engineering class.
Open WorkshopsAI Products Are API Systems
Deconstruct AI app architecture and make a first model API call while separating product experience from backend mechanics.
Lab: Trace an AI request from interface to provider and back.
Team surfaces
Show the model request path, the server boundary, and where secrets, cost, and response handling live.
Frontend and Backend: The Full Picture
Map the browser, server, and database responsibilities before building a leaderboard system.
Lab: Draw and implement the first full-stack boundary.
Team surfaces
Show a diagram or README section that separates browser, server, data contract, and storage responsibilities.
Create Your Own API
Build an Express.js server to receive and return data so the app can do more than display a static screen.
Lab: Build an API route and call it from the frontend.
Team surfaces
Show the endpoint, sample input, sample output, error case, and the frontend call that uses it.
Databases: Store Data Permanently
Use SQLite to understand tables, records, and persistence without adding unnecessary infrastructure.
Lab: Store and retrieve leaderboard records with SQLite.
Team surfaces
Show the table shape, one insert, one read, and the reason the data survives a refresh.
Milestone: Online Leaderboard Works
Connect frontend, API, and database, then verify that leaderboard data survives beyond a page refresh.
Lab: Ship a working leaderboard milestone.
Team surfaces
Show the working leaderboard, the API boundary, the persisted data, and the end-to-end check.