Developer Path · Step 7 of 8

Engineered Recipes

Six real features, engineered end-to-end: scheduling, forms, RAG chatbots, jobs, and dashboards — built safely with AI.

Start Free — 14 Days Included with Pro — no per-course charge

What you’ll walk away with

Build a scheduling service that correctly handles timezones, concurrency, and double-booking prevention
Design a form-to-inbox pipeline at scale with validation, queues, and spam defense
Ship a marketing site engineered for SSG, SEO, and strong Core Web Vitals scores
Build a grounded RAG chatbot with embeddings, guardrails, and an evaluation process
Implement durable background jobs using cron, queues, and idempotency patterns
Build a real-time metrics dashboard with aggregation, caching, and authentication

Where this leads

Production Developer

You can take a feature from spec to production with Claude Code — architected, secured, tested, and shipped.

Questions people ask before they start

What exactly will I build in this course?

Six real features across six modules: a scheduling service, a form-to-inbox pipeline, a marketing site, a grounded RAG chatbot, a durable background jobs system, and a real-time metrics dashboard. Each lesson covers the specific engineering problems in that feature, like timezones and double-booking for scheduling, or embeddings and guardrails for the RAG chatbot.

Is this course focused on using AI tools, or on the underlying engineering?

Both — the course teaches you to engineer real, production-shaped features (queues, caching, auth, idempotency, SEO, evals) while using AI as part of how you build them. It's not just prompting; each lesson is grounded in the actual technical concerns of shipping that feature correctly.

Do I need prior experience to take this course?

This is listed as an advanced course ('Adv · Recipes, Engineered'), so it assumes you're comfortable with core software engineering concepts already and are ready to apply them to concrete, non-trivial features like concurrency handling and spam defense at scale.

Does the RAG chatbot module cover evaluation, or just building the bot?

Both — the lesson 'A Grounded RAG Chatbot: Embeddings, Guardrails & Eval' covers embeddings and guardrails for keeping responses grounded, plus how to evaluate the chatbot's outputs, not just how to stand it up.

Why is a cybersecurity company teaching an AI development course?

AI University is Securafy's course platform, and Securafy is a cybersecurity company first — so the curriculum's approach to features like spam defense, guardrails, and idempotent jobs reflects that safety-first lens rather than treating security as an afterthought.

Is the real-time dashboard module just about the UI, or does it cover the backend too?

It covers the backend concerns behind a real-time dashboard specifically: data aggregation, caching strategy, and authentication, as listed in the lesson 'A Real-Time Metrics Dashboard: Aggregation, Caching & Auth.'

Module 1: Adv · Recipes, Engineered

Quiz locked — finish every lesson in this module first (0/6 done)