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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Build tamper-proof audit trails for AI agents that satisfy compliance requirements including SOC 2, HIPAA, and GDPR. Learn immutable log design, append-only storage, efficient query patterns, and retention policy implementation.
Design and build an admin dashboard for managing enterprise AI agents. Covers user and role management, real-time analytics, agent configuration CRUD operations, and monitoring dashboards with practical Python API implementations.
Implement SLA management for AI agent platforms with uptime monitoring, error budget tracking, and automated incident response. Learn how to define meaningful SLIs and SLOs for AI agents and build escalation workflows.
Implement data loss prevention policies for AI agents that detect and block sensitive data in prompts and responses. Covers DLP policy engines, content scanning with regex and NER, blocking rules, and exception handling workflows.
Design and build an internal marketplace where teams can discover, provision, and manage AI agents. Covers catalog design, self-service provisioning workflows, usage tracking, lifecycle management, and governance guardrails.
Implement cost allocation for enterprise AI agents with per-department chargebacks, showback reporting, budget management, and automated alerts. Learn how to track LLM token costs, infrastructure expenses, and generate financial reports.
Build an enterprise AI governance framework with policy management, multi-stage approval workflows, automated bias auditing, and ethics review processes. Learn how to operationalize responsible AI principles into enforceable platform controls.
Build robust message catalogs, fallback chains, and context-aware help systems that deliver clear, localized error messages and help content across all supported languages.
