This repository contains the AI Engineering syllabus and related learning materials for 4Geeks Academy:

• Curriculum content (milestones, skills, contexts and theory).
• Hands-on projects for each skill and milestone, under content/projects/.
• Supporting files for the platform (learn.json, reference solutions, assets, etc.).

You can find the practical projects in content/projects. Suggested order (56 projects): web fundamentals and Tailwind first, then OpenClaw setup through memory/onboarding, TypeScript and UML modeling, React/Next.js and company milestones, AI-assisted specs and monorepo work, APIs and auth, incidents and SQL audits, inventory backend/backoffice, Docker, performance, telemetry, data pipelines, background jobs, and message queues.

Technologies and skills developed in the projects:

• HTML5 & CSS3: Semantic layout, accessibility, SEO, responsive design.
• Tailwind CSS: Utility-first styling for rapid and responsive UI development.
• JavaScript & TypeScript: Control flow, data structures, validations, error handling.
• React & Next.js: Components, routing, URL filters, state and props management, SSR/SSG.
• Collaborative design & version control: Git, branching, pull requests, best practices for teamwork.
• Object modeling & diagrams: UML, class design, and business model relationships.
• Interface prototyping: UI/UX, creation of admin panels and interactive forms.
• APIs & Backend: FastAPI, TinyDB, Pydantic, SQLModel, Supabase/PostgreSQL, JWT, RESTful endpoints, serialization, and caching.
• SQL & data analysis: Single-table and multi-table queries, data-quality audits, JOINs.
• Integration with external tools: OpenClaw, Telegram, Zapier, Google Drive & Calendar, 4Geeks API.
• Agent development and automation: Skills, memory, onboarding flows, agent loops, artifact and evidence management.
• File and data processing: CSV analysis, Python scripts, Pandas reporting, automated exports and summaries.
• Systems architecture: Proposals, diagrams, documentation, and modular application extension.
• Cybersecurity: Authentication flows, user state management, password resets, unit-tested auth logic.
• Docker & containers: Dockerfiles, Compose, multi-service local orchestration, production-ready environments.
• Performance engineering: Core Web Vitals, Lighthouse audits, payload optimization, frontend and API caching.
• Telemetry: Event design, frontend capture, batch storage, and reporting pipelines.
• Data pipelines: ETL design, Prefect orchestration, idempotency, subflows, and pipeline testing.
• Background jobs: Cron scheduling, distributed locks, job state machines, and independent CLI processes.
• Message queues: Producer/consumer patterns, Redis brokers, Celery workers, retries, DLQ, and Flower observability.
• Monorepo development: Organization and coordination of frontend, backend, and auxiliary services within a single repository.

For more detail on each item, open the project folder and read README.md (and README.es.md when available). The same ordered list lives in content/projects/README.md. Company-specific scenario files live under content/contexts (see content/contexts/README.md).

• content/ — Syllabus content (milestones, skills, contexts, and projects).
  • content/projects/ — All AI Engineering practice projects.
• .learn/ and learn.json files — Integration with the 4Geeks platform.

This repository is used as the single source of truth for the AI Engineering program materials at 4Geeks Academy.