Engineering excellence framework spanning development through operations. Fourteen deliverables providing comprehensive standards for AI development, lifecycle management, testing, monitoring, and operations. Covers everything technical teams need for responsible AI development including coding standards, LLMOps, validation, explainability, human oversight, documentation, monitoring, incident response, and change control. Essential for engineering leaders, MLOps teams, and technical architects. Save over $5,200 with this complete technical toolkit.
This bundle includes 14 deliverables:
Secure AI development standards with code quality and testing
Complete model lifecycle management and LLMOps operational runbook procedures
AI testing validation and red teaming standards for robustness
Model explainability and transparency standards for AI system outputs
Human oversight and escalation procedures for automated AI decisions
AI content governance with watermarking and provenance labeling standards
Technical documentation pack templates for AI system compliance records
Centralized model registry and catalog with metadata management system
Continuous AI monitoring and post-market surveillance operational procedures framework
Comprehensive audit trail and AI record-keeping system for compliance
AI change control and release management procedures with rollback
AI incident response runbook with escalation and remediation procedures
AI vendor management procedures covering selection, oversight, and exit
AI system decommissioning and retirement procedures with data disposal
One-time purchase
