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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Deep dive into Microsoft's security framework for agentic AI including the Agent 365 control plane, identity management, threat detection, and governance at enterprise scale.
How AI agents interact with databases safely using read-only tools for queries, write-through validation layers, and event-driven updates via message queues.
When to use stateful agents with session history versus stateless agents with external state. Covers hybrid approaches and state externalization patterns.
Practical ROI frameworks for AI agents including time saved, cost per interaction, process acceleration, and revenue impact calculations with real formulas and benchmarks.
Analysis of how Accenture and Databricks help enterprises deploy AI agents using data lakehouse architecture, MLOps pipelines, and production-grade agent frameworks.
Navigate the current regulatory landscape for AI agents including EU AI Act enforcement, NIST Agent Standards Initiative, and practical compliance requirements for developers.
Practical guide to building agentic AI systems with Claude Code CLI — hooks, MCP servers, parallel agents, background tasks, and production deployment patterns.
Comprehensive guide to the OpenAI Agents SDK covering the Agent class, function tools, agent-as-tool pattern, handoff mechanism, input and output guardrails, and tracing.
