AEI News

AEI Launches 24-Course Enterprise Curriculum to Define the Practice of Agentic AI (January 30, 2026)

SEATTLE, WA — January 30, 2026 — The Agentic Engineering Institute (AEI) today announced the availability of its 24-course enterprise curriculum, designed to equip engineers, architects, and leaders with the capabilities required to build, deploy, and govern production-grade agentic AI systems in real-world enterprise environments.

As organizations accelerate investment in autonomous and agentic AI, many struggle to move beyond pilots and fragmented experimentation. AEI’s curriculum addresses this challenge by focusing on how agentic AI systems operate in production, under real constraints such as security, compliance, performance, and organizational scale.

“Most AI training focuses on narrow techniques or isolated use cases,” said Yi Zhou, Founder and CEO of the Agentic Engineering Institute. “AEI was created to establish Agentic Engineering as a professional discipline—one that enables enterprises to build AI systems they can actually run, govern, and scale with confidence.”

Enterprise-Grade Training, Not Ad-Hoc AI Courses

AEI delivers the only comprehensive enterprise agentic AI curriculum explicitly designed for production-grade systems. The 24 courses span the full agentic AI lifecycle, covering agent design, system architecture, orchestration, validation, quality assurance, operating models, and AI-native transformation—addressing the systemic gaps that cause most enterprise AI initiatives to stall.

Unlike conventional AI training programs, the AEI curriculum is built on the Agentic Engineering Body of Practices (AEBOP™)—the first formal standard defining how agentic AI systems are designed, validated, governed, and scaled across enterprises. This standards-based foundation enables organizations to establish shared language, consistent practices, and repeatable execution across teams.

From Proof-of-Concept to Proof-of-Control

A central focus of the AEI curriculum is proof-of-control—teaching teams how to implement traceability, oversight, validation loops, and governance mechanisms that allow agentic AI systems to earn executive trust, withstand audit scrutiny, and operate safely at scale.

“Enterprises don’t fail because they can’t build AI demos,” Zhou added. “They fail because they can’t control, explain, or govern AI systems once they’re live. That’s the gap AEI was built to close.”

Structured for Professional Roles and Organizational Scale

The curriculum is designed for engineers, architects, operators, and leaders, aligning technical depth with architectural decision-making and leadership oversight. Courses also ladder into AEI’s professional certification pathways—providing a structured skills framework for enterprises and a clear professional progression for practitioners as agentic AI adoption matures.

AEI courses are available to both members and non-members. AEI members receive exclusive course discounts, access to AEBOP standards, and participation in a global professional Agentic Engineering community focused on advancing enterprise-grade agentic AI practices.

The AEI 24-course curriculum is now available at:
https://www.agenticengineeringinstitute.com/courses


About the Agentic Engineering Institute

The Agentic Engineering Institute (AEI) is a professional institute dedicated to defining and advancing the discipline of Agentic Engineering—the practice of designing, building, operating, and governing autonomous and agentic AI systems in production environments. AEI develops standards, training, and professional pathways to support responsible and scalable enterprise adoption of agentic AI.

Media Contact
Agentic Engineering Institute
Email: press@agenticengineeringinstitute.com
Website: https://www.agenticengineeringinstitute.com

AEI Opens Global Search for 9 Founding Members to Shape the Future of Agentic Engineering (November 15, 2025)

The Agentic Engineering Institute (AEI) announced today that it is opening nine (9) Founding Member seats to help establish the world’s first professional discipline for Agentic Engineering—the craft of building production-grade cognitive systems for the era of applied intelligence.

The founding cohort will guide AEI’s structured Alpha and Beta rollout and help prepare for the Institute’s expected Global General Release in January 2026.

“Agentic systems are becoming central to enterprise value creation, but the discipline needed to build them doesn’t yet exist,” said Yi Zhou, Founder of AEI and author of Agentic AI Engineering. “These nine Founding Members will help set the standards, identity, and practices that shape how the world engineers applied intelligence.”

A Critical Moment for a New Engineering Discipline

Since the release of Agentic AI Engineering, AEI has seen overwhelming demand for deeper standards, training pathways, field-proven patterns, and a professional community. AEI is responding by launching a global institute built on AEBOP — the Agentic Engineering Body of Practices, the first continuously updated field manual and engineering standard for agentic systems.

Responsibilities of the Founding Cohort

Founding Members will focus on high-value, foundational contributions including:

  • Helping activate AEI’s 23 practice-area channels

  • Providing strategic feedback on early AEBOP modules

  • Shaping AEI’s community norms and onboarding experience

  • Supporting the first 100 practitioners who join during Beta

These contributions occur during AEI’s launch period and establish the Institute’s long-term cultural and professional baseline.

A Select Cohort of Nine

AEI intentionally set the founding group at nine—small enough for tight collaboration, yet diverse enough to represent the breadth of the Agentic Stack. This cohort will serve as the nucleus of the Institute and hold a permanent place in AEI’s history.

How to Apply

Professionals interested in becoming a Founding Member may apply by emailing:
📩 contact@agenticengineeringinstitute.com

Please include:

  • A brief statement on why you are a strong fit

  • A short professional bio

  • Your LinkedIn URL

  • Optional links to relevant work (posts, talks, repos, publications)

Applications are reviewed on a rolling basis until all nine seats are filled.


About the Agentic Engineering Institute (AEI)

The Agentic Engineering Institute is the #1 global network for agentic engineering professionals—the engineers, architects, operators, and leaders building production-grade cognitive systems for the next era of applied intelligence.

AEI advances the discipline of Agentic Engineering through:

  • AEBOP — the Agentic Engineering Body of Practices

  • Professional standards and certification pathways

  • Global community and working groups

  • Tools, templates, and field-tested engineering guidance

  • Training, events, and leadership development

AEI’s mission is to ensure intelligent systems are engineered with rigor, safety, reliability, and professional ethics—establishing trust for the age of applied intelligence.


AEI Launches AEBOP v1.0, the First Global Standard for Agentic Engineering (November 11, 2025)

The Agentic Engineering Institute (AEI) today announced the release of AEBOP v1.0, the first comprehensive and production-focused Agentic Engineering Body of Practices — marking a defining milestone in the maturation of AI from experimentation to engineered discipline.

Developed through extensive enterprise fieldwork, AEBOP v1.0 formalizes 23 core practice areas across architecture, cognition, governance, trust, and operations. It provides the industry’s first unified, engineering-grade framework for building reliable, observable, and governed cognitive systems that perform safely at scale.

“For the first time, organizations have a professional playbook for intelligent systems — not just models,” said Yi Zhou, the AEI Founder and CEO. “AEBOP turns intelligence into infrastructure.”

A Discipline Built Around Real Failure Modes

AEBOP is designed to close the gaps responsible for the majority of AI project failures: runtime fragility, reasoning inconsistency, missing trust layers, and the absence of operational guardrails. Each tier addresses a specific engineering, architecture, or leadership failure point.

The Six Tiers of AEBOP — From Orientation to Leadership

T0 — Orientation (All Members)
Shared language, principles, and mental models that anchor the discipline.

T1 — Engineering Foundations (Engineer)
Build governed, observable, and safe runtime systems — the containment layer of autonomy.

T2 — Cognition Loop (Engineer)
Engineer perception, reasoning, memory, and orchestration into cohesive cognition.

T3 — System Design & Architecture (Architect)
Design agentic systems, trust fabrics, and enterprise-wide cognitive architectures.

T4 — Execution & Operations (Architect)
Operate cognitive systems reliably at scale with AgentOps, QA, and the Agentic SDLC.

T5 — Leadership & Scaling (Leader)
Lead AI-native transformation and design federated, enterprise-level intelligence ecosystems.

Membership unlocks progressive tier access:
Engineer → T1–T2 | Architect → T1–T4 | Leader → T1–T5

A Living Standard, Not a Static Manual

AEBOP is continuously updated to incorporate real-world lessons, new patterns, emerging protocols, and validated operational practices. It includes:

  • Reference architectures, design patterns, and code examples

  • Operational guardrails, QA models, and trust fabric patterns

  • Anti-patterns and lessons from failed deployments

  • Maturity models, checklists, and governance frameworks

  • Industry case studies and field guidance

Its mission is clear: to help organizations turn clever demos into governed, production-grade cognitive systems — repeatably and safely.

AEBOP v1.0 is now available to AEI members based on their membership tier.


About the Agentic Engineering Institute (AEI)

The Agentic Engineering Institute (AEI) is the world’s leading professional organization for Agentic Engineering — the #1 global network for engineers, architects, and leaders building production-grade cognitive systems.

AEI defines the standards, certifications, and body of practice for the discipline through AEBOP, training programs, enterprise collaboration, and a global member community dedicated to advancing AI from prototypes to reliable, governed infrastructure.