Build production-grade CI/CD pipelines using GitHub Actions and Docker. Multi-stage builds, secret management, and deployment automation for enterprise apps.
Next.js 15 Performance: Streaming, ISR, and Edge Caching
Master server-rendered React with Next.js 15. Learn streaming, ISR, edge caching, and production patterns for global scale and optimal Web Vitals.
FastAPI Async APIs: Connection Pooling & Performance
Learn async/await patterns, database connection pooling, and production optimization techniques for building high-performance FastAPI applications.
Deploy AI Agents at Scale: Docker and Kubernetes Production Patterns
Containerize and orchestrate AI agents with Docker and Kubernetes. Learn production patterns for stateful agents, lifecycle management, tool isolation, and scaling.
GraphQL Performance and Security at Scale: Batching, Caching, and Query Limits
Optimize GraphQL APIs with DataLoader batching, field-level caching, and query complexity limits. Prevent N+1 queries and DoS attacks in production.
PostgreSQL JSON Optimization for AI Workflows
Master JSONB operators, GIN indexing, and query tuning for storing embeddings and agent state in PostgreSQL at scale.
Node.js REST API Performance: Connection Pooling & TypeScript
Optimize Node.js 22 REST APIs with connection pooling, TypeScript strictness, and query optimization. Practical patterns for scaling database throughput.
Real-Time AI Chat in React: Streaming & Performance
Build production-ready AI chat UIs in React. Learn streaming responses, state management, error handling, and performance optimization patterns.
Building MCP Clients in .NET: Consuming External AI Tools
Learn to build .NET MCP clients that discover, connect to, and orchestrate external AI agent tools. Practical patterns for distributed agentic systems.
Testing AI Agent Workflows in .NET: Validation Patterns
Practical testing strategies for AI agents in .NET: MCP tool validation, workflow state verification, and production reliability patterns.