AI & Data Analytics
Designing Safe Agentic Workflows and Data Readiness
As agentic AI systems take on more autonomous tasks, safety, reliability, and data quality become critical. This program provides a practical framework for designing safe agentic workflows, ensuring data readiness, and building appropriate governance and oversight mechanisms.
Who Should Attend
Technology leaders, data professionals, and AI practitioners responsible for safe AI deployment.
What You Will Learn
Identify the safety risks and failure modes of agentic AI systems
Design human-in-the-loop oversight mechanisms for agentic workflows
Assess and improve organizational data readiness for AI
Implement data governance and quality frameworks for AI applications
Build a responsible AI deployment checklist for your organization
Certification
REBAC Certificate of Completion
Interested in this program?
Contact us to discuss delivery options, group pricing, and how we can tailor this program to your organization.
Program Details
In-house delivery. Public schedule durations may differ — view open-enrolment dates.
Ready to get started?
Let's discuss how we can deliver this program for your team.