AI Training for
AI technical training covers prompt engineering, API integration patterns, output validation, and workflow automation using tools such as n8n, Claude Cowork, and LLM APIs. Sessions include hands-on implementation exercises with real toolstacks, covering error handling, rate limiting, structured output parsing, and logging practices. Training also addresses governance requirements: hallucination mitigation, audit trail design, access controls, and human-in-the-loop checkpoint patterns. Content is tailored to participants' existing technical background and production environment.