Master the Discipline of Agentic Engineering — From Foundations to Enterprise-Scale Execution
The Agentic Engineering Institute (AEI) offers a complete 24-course curriculum aligned to the Agentic Engineering Body of Practices (AEBOP).
These courses are exclusive to AEI members and form the official training pathway for the AEI certifications.
To access any course, you must be an active AEI member.
Join AEI to begin your training and certification journey.
A fast-track introduction to the discipline, core terminology, cross-industry patterns, and the full practice map of Agentic Engineering.
Required for all AEI certifications.
Build the essential technical and governance foundations required for any production-grade agentic system.
Execution model, behavior controls, runtime policies, and safety.
Security-by-design, identity, threat modeling, and agent-level defense.
Telemetry, reasoning logs, ROC dashboards, and cognitive observability.
Structured, enforceable communication patterns for agent-system interaction.
Governance frameworks, guardrails, controls, and compliance.
Deep dive into the components that enable robust reasoning, adaptation, and cognitive performance.
Knowledge structures, grounding, and domain modeling.
Adaptive context pipelines for high-fidelity agent performance.
Short-term, long-term, and episodic memory architectures.
Chain-of-thought, trees, planning, verification, and reasoning controls.
Model selection, tuning, and integration for agentic cognition.
Graph-based orchestration, multi-agent coordination, workflow automation.
Architect full-scale agentic systems ready for enterprise and regulatory environments.
Blueprinting full agentic systems with reliability and scalability.
Human–agent interaction, cognitive UX design, and trust signaling.
APIs, connectors, and enterprise integration patterns.
Cognition loops, meta-cognition, self-evaluation, and self-correction.
Explainability, certainty scoring, alignment strategies, and trust fabrics.
Operational discipline for deploying, monitoring, and scaling agents.
Deployment, monitoring, incident response, and operational reliability.
Testing, benchmarking, and behavioral validation for cognitive systems.
A complete SDLC tailored for agentic systems—from ideation to deprecation.
For senior leaders, PMs, and executives driving AI-native transformation.
Product strategy, roadmaps, and value realization for agentic systems.
Roles, org models, and capability structures for AI-native teams.
The L0–L5 maturity journey and how to build an agentic operating system.
Enterprise-wide transformation models for scaling agentic systems.
24 courses. 6 tiers. One unified discipline. Enterprise grade.