Loading…
Loading…
Design agentic workflows that use tools safely, respect enterprise permissions, and ground answers in governed knowledge—not open-ended autonomy.
Objectives focus on applied outcomes teams can take back into delivery work.
Prerequisites keep cohorts productive without assuming research-level ML backgrounds unless noted.
Module topics show the shape of the program; private agendas can reorder emphasis without dropping outcomes.
Module 1
Module 2
Module 3
Module 4
Duration: 2–3 days · Availability: on demand
Tooling is kept portable so private sessions can map onto platforms your team already runs.
The curriculum prioritizes controlled agency: clear tool boundaries, approvals for consequential actions, and observable workflows suitable for enterprise risk posture.
Knowledge grounding overlaps with RAG, but this program focuses on multi-step tool use, permissions, and operational controls around agent behavior.
No. We teach portable patterns. Private sessions can map exercises onto frameworks your team already uses.
Inquire about AI Agents and Enterprise Knowledge Systems
Share cohort size, preferred format, and timing. We will confirm availability and recommend a delivery path — including private corporate options.
