TechiciousEducation
From Techicious, a software company

We build software for a living. Now we'll teach you how.

Techicious ships web, mobile, and AI products for real clients — that's the day job. These two tracks put you through the same process on the same kind of flagship build, so what you learn is what we actually do, not a simulation of it.

Taught by engineers who shipLive, project-first cohorts20–25 hrs/week commitment
Why learn from us

We're not a school that added a coding course

Most programs are staffed by full-time instructors. Techicious builds production software first — client apps, internal platforms, AI systems — and the same engineers who do that work wrote this curriculum. You're not learning a syllabus designed to be taught; you're learning the process we use to ship, applied to a flagship build modeled on our own work.

Two tracks are open right now: Software Engineering and Applied AI Engineering.

Open now

Two tracks, open for enrollment

Start from zero with Software Engineering, or move straight into Applied AI Engineering if you already have backend fundamentals. Additional tracks are in development.

Track 01

Software Engineering

Zero to Software Engineer · 6-month Job-Ready track, 12-month Mastery option

6–12 mo
Job-Ready + Mastery
20–25 hrs
per week

Build one flagship LMS — from a to-do app to a deployed, cached, search-enabled, horizontally-scalable platform.

ReactTypeScriptNode.jsPostgreSQLDockerAWSSystem Design
Milestone ladder
M3
Frontend Developer
M6
Full-Stack Developer
M9
System Designer
M12
Senior-Track Engineer
View full curriculum
Track 02

Applied AI Engineering

Applied AI Engineer · 6-month Job-Ready track, 3-month Mastery extension

6–9 mo
Job-Ready + Mastery
20–25 hrs
per week

Grow one AI assistant — from a single prompt call to a multi-agent, evaluated, guardrailed, production-deployed system.

PythonLangChainLangGraphCrewAILlamaIndexRagas
Milestone ladder
M3
Prompt & RAG Engineer
M6
Agentic AI Developer
M9
AI Systems Specialist
View full curriculum

Applied AI Engineering is designed for students who've completed (or placed out of) Months 1–4 of Software Engineering — working knowledge of REST APIs, basic backend, and comfort reading someone else's code.

Our approach

Depth over breadth, proof over demos

The same principles we use to ship client work, built into how we teach.

One flagship project

Every module adds to the same real application — an LMS in Software Engineering, an AI assistant in Applied AI — instead of a fresh throwaway demo each month.

Milestone checkpoints

A named milestone ladder (e.g. Frontend Developer → Full-Stack Developer → System Designer) marks concrete, job-ready checkpoints instead of vague progress.

Present & defend

Capstones are argued with evidence — a design doc, an eval scorecard, a security review — not just demoed. "Prove it works with numbers, not vibes."

Ready to see the full curriculum?

Every month, project, and milestone is laid out in detail on each track page.

Get in touch