Sprint #1 STARTING APRIL 6th, USE THIS ON YOUR RESUME OR STUDIES :) Stay Tuned...

SPRINT #1 - Is starting APRIL 6th! Make sure you are all setup and ready to go. Pick a job track (career) and lets build.

Please see attachments to navigate our growing community.... Real projects, real outcomes, pick a track, build weekly, get hired.

What it is An AI Engineer builds AI-powered applications (not just prompts) using Python/JavaScript, APIs, databases, and deployments. You’ll learn to create systems that can retrieve knowledge, follow rules, return structured outputs, and run reliably in production. Think: you build the app, not just the answer. What you’ll build here - API services (ex: FastAPI endpoints that return structured JSON) - AI features: summarization, extraction, classification, QA checks - RAG apps (retrieval + citations from a knowledge base) - database-backed apps (users, sessions, history/logging) - deployment + documentation (so someone else can run it) Skills that matter most 1. Programming fundamentals — clean functions, debugging, data structures 2. APIs — request/response, validation, auth, structured outputs 3. Data + storage — Postgres/Supabase, schemas, logging, audit trail 4. LLM engineering — prompts, evals, guardrails, tool calling 5. Production habits — error handling, tests, monitoring, deployment Comment ROADMAP if you can’t find it and I’ll point you to it. https://echelonaiq.com/roadmap

What it is An AI Implementer builds real business automations using tools like n8n + Supabase + APIs + AI to save time, reduce errors, and improve operations—without needing to be a full software engineer. Think: you turn messy manual processes into reliable systems. What you’ll build here - lead intake → CRM/database → follow-up automations - forms → pipelines → notifications (email/SMS/Slack) - proposal + scheduling + onboarding workflows - AI-assisted steps (summaries, classification, routing) only where it makes sense - logging + error handling so workflows don’t break silently Skills that matter most 1. Workflow building (n8n) — triggers, conditions, retries, error paths 2. Data systems (Supabase) — tables, relationships, audit logs 3. Integrations — APIs, webhooks, auth, mapping fields cleanly 4. Reliability — idempotency, dedupe, monitoring, fallbacks 5. ROI thinking — quantify time saved + business impact 📌 For the full step-by-step plan, download the AI Implementation Roadmap (Supabase + n8n + templates + weekly builds). Comment ROADMAP if you can’t find it and I’ll point you to it.https://echelonaiq.com/roadmap