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The architecture, evals, monitoring, and process disciplines that take an AI feature from "works in a demo" to "survives real users at scale."
Token economics, model tier selection, prompt caching at scale, and the monitoring you need before AI features eat your budget.
System prompts that scale, structured output, few-shot examples, guardrails, and the patterns that hold up when real users push your AI features.
When your existing Postgres is enough, when to graduate to a dedicated vector DB, and how the major options compare for Django apps.
From pip install to a streaming chat view in production. Authentication, error handling, prompt caching, and cost-aware patterns for Django + Claude.
Reasoning models think before answering. Here's how chain-of-thought prompting works, what Anthropic's extended thinking does differently, and when the extra cost is worth it.
Understand Django class-based views (CBVs). Covers ListView, DetailView, CreateView, UpdateView, mixins, and when to use CBVs vs FBVs.
Essential security practices for Django applications. Covers CSRF, XSS, SQL injection, HTTPS, headers, authentication, and deployment hardening.
Step-by-step guide to deploying a Django application on a Linux server with Gunicorn, Nginx, and systemd. Production-ready setup.
Build a complete REST API with Django REST Framework. Covers serializers, viewsets, authentication, pagination, and filtering.
Understand Python decorators from scratch. Learn to write your own decorators for logging, authentication, caching, and more.
Master Django models, field types, relationships, querysets, and the ORM. Learn to design efficient database schemas for your Django projects.
Check out our premium Django packages and SaaS templates to jumpstart your project.