Engineering excellence framework for responsible AI development. Comprehensive coding standards, testing requirements, and reproducibility protocols. Covers version control, environment management, dependency tracking, and experiment documentation. Addresses secure coding practices, code review requirements, and technical debt management. Integrates responsible AI principles into SDLC while maintaining development velocity. Essential for engineering teams building production AI systems.
One-time purchase
