Build intelligent automation pipelines with Python script nodes in n8n. Integrate LLMs, handle errors, and scale AI workflows in production.
Azure Bicep Multi-Tier Deployments with GitHub Actions
Learn to automate multi-tier Azure deployments using Bicep templates and GitHub Actions. Practical patterns for Container Apps, environments, and scaling.
AI Powered Blazor WebAssembly: Client Side LLM Integration
Build offline capable AI UIs with Blazor WebAssembly. Learn LLM streaming, client side prompt engineering, and production patterns for type safe AI web apps.
Offline-First Flutter Apps with Riverpod 2 & Drift: Async State Management and Sync Strategies
Build enterprise Flutter apps that work offline. Master Riverpod 2 async state, Drift SQLite caching, and delta sync strategies for unreliable connectivity.
Production Django APIs for AI SaaS: Async, Celery, PostgreSQL
Build production-grade Django APIs for AI SaaS with async views, Celery task queues, PostgreSQL RLS multi-tenancy, and WebSocket streaming patterns.
FastAPI WebSocket Production: Real-Time AI Agent Communication
Build production WebSocket servers in FastAPI for agent-to-agent communication, connection pooling, backpressure handling, and scaling to thousands of concurrent connections.
Django Microservices for AI: Async, JSONB, Production Scaling
Build scalable AI microservices with Django 5.x async views, PostgreSQL JSONB for embeddings, and production deployment patterns for AI data pipelines.
Production FastAPI Backends for LLM APIs: Async & Observability
Build scalable Python AI backends with FastAPI: async patterns, Pydantic validation, structured outputs, and observability for production LLM services.
FastAPI Elasticsearch: Scalable AI Search Infrastructure
Build production-grade search with FastAPI and Elasticsearch. Real-time indexing, relevance tuning, vector search, and deployment patterns for AI applications.
n8n AI Agent Integration: Autonomous Workflow Patterns
Build autonomous workflows with n8n and AI agents. Learn integration patterns, error handling, and production scaling for enterprise automation.