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AI & Data Analytics

Safe Agentic Workflows

Agentic AI systems, capable of planning, reasoning, and executing multi-step tasks with minimal human intervention, are moving rapidly from research into production environments. The promise is significant; so are the risks. This comprehensive program equips professionals with the technical understanding, design principles, and governance frameworks needed to build and deploy agentic workflows safely, reliably, and responsibly. Participants examine real-world architectures, explore common failure modes and safety vulnerabilities, and develop the organizational readiness and data governance practices that determine whether agentic AI creates value or creates liability.

5 days(in-house delivery)
Classroom / Virtual
Intermediate to Senior

Who Should Attend

Technology leaders, AI practitioners, data engineers, enterprise architects, and business leaders responsible for designing, deploying, or governing agentic AI systems, including those evaluating whether agentic AI is appropriate for their organization.

What You Will Learn

1

Understand the architecture, capabilities, and limitations of modern agentic AI systems, including multi-agent orchestration, tool use, and memory

2

Identify and systematically mitigate the key safety risks and failure modes of autonomous agents in production environments

3

Design human-in-the-loop and human-on-the-loop oversight mechanisms calibrated to different risk levels and use cases

4

Assess organizational data readiness, quality, governance, and infrastructure, as a prerequisite for safe agentic AI deployment

5

Implement data governance and quality frameworks that support reliable, auditable AI operation

6

Build a responsible AI deployment framework: risk assessment, testing protocols, monitoring, and incident response

7

Evaluate leading agentic AI platforms and tooling, and develop a principled selection and deployment approach 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

Duration5 days

In-house delivery. Public schedule durations may differ — view open-enrolment dates.

FormatClassroom / Virtual
LevelIntermediate to Senior
PillarAI & Data Analytics

Ready to get started?

Let's discuss how we can deliver this program for your team.