Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Engineer 99.9% uptime for an AI agent platform through redundancy design, health checking, circuit breakers, graceful degradation, and chaos engineering practices that find failures before your customers do.
Build an AI financial planning agent that integrates bank data, analyzes spending patterns, tracks savings goals, and generates personalized financial recommendations.
Design dead letter queue systems for AI agent workflows that capture failed tasks with full context, enable automatic reprocessing, and support manual review for permanently failed operations.
Deploy production-grade Gemini agents on Google Cloud with Vertex AI. Learn managed agent setup, grounding with enterprise data stores, VPC security, IAM controls, and scaling for enterprise workloads.
Create a smart home AI agent that controls IoT devices, manages lighting and climate scenes, and configures automation rules — a complete home automation assistant built with Python and the OpenAI Agents SDK.
Understand and reduce the environmental cost of AI agent systems with carbon tracking, inference optimization, model selection strategies, and practical energy-efficient architectures.
Compare SSE and WebSockets for streaming AI agent outputs, understand the tradeoffs between unidirectional and bidirectional communication, and learn which protocol fits each real-time AI use case.
Implement an AI-powered ticket classification system that automatically assigns priority, department, and SLA to incoming support requests using multi-label classification and intelligent routing rules.
