In an AI-driven world reshaping every aspect of business and life, AI Native Enterprise is the essential guide for visionary leaders building organizations with AI at their core. This groundbreaking book defines AI-Native thinking—a transformative shift embedding AI into business DNA. Drawing from 500+ real-world cases, it reveals strategies, frameworks, and lessons for achieving true AI-native leadership.

Agentic AI Engineering is the first field manual for building production-grade, enterprise-grade, and regulatory-grade AI agents. Spanning 24 chapters and 578 pages, it codifies the new discipline beyond software engineering—covering the Agentic Stack, cognition loops, governance, Agentic UX, AgentOps, design patterns, best practices, and code examples to turn fragile prototypes into resilient, trustworthy systems.

Prompt Design Patterns is your definitive guide to mastering human-AI interaction. Discover 23 transformative patterns that blend art and science to elevate creativity, productivity, and problem-solving. From beginners to pros, learn how to craft intelligent prompts, boost AI accuracy, prevent hallucinations, and unleash innovation across every domain.

The Certified Agentic Architect (CAA) Certification Program includes 12 hands-on training courses across AEBOP Tier 0, 1, 2, 3 and 4, plus a scenario-based certification exam, all required to earn the CAA credential. The program equips architects and senior engineers to design end-to-end, enterprise-grade agentic systems using proven Agentic Engineering best practices. AEI members save 50% with code MEM_CAA_50.

The Certified Agentic Engineer (CAE) Certification Program includes 12 hands-on training courses across AEBOP Tier 0, Tier 1, and Tier 2, plus a scenario-based certification exam, all required to earn the CAE credential. The program equips engineers to design, build, and govern production-grade agentic systems through real-world labs and Agentic Engineering best practices. AEI members save 50% with code MEM_CAE_50.

The Certified Agentic Leader (CAL) Certification Program includes 12 advanced training courses across AEBOP Tier 0 through Tier 5, plus a scenario-based certification exam, all required to earn the CAL credential. The program equips leaders to govern, fund, and scale enterprise-grade agentic systems through disciplined operating models and AI-native transformation practices. AEI members save 50% with code MEM_CAL_50.

A fast-track introduction to the discipline of Agentic Engineering, covering foundational concepts, core terminology, cross-industry system patterns, and the complete practice map that defines the field. Regularly priced at $249, now free for AEI members. This four-hour course is required for all AEI certifications.

Master the core runtime systems that make AI agents safe, predictable, and production ready. This 3-hour course shows you exactly how to control execution, enforce boundaries, validate tools, prevent failures, and build audit-ready agent behavior. Designed for agentic practitioners who are building real enterprise-grade agentic systems. Regularly priced at $249, now free for AEI members.

Master the cutting edge of AI security with AEI’s Agentic Security Engineering, a 4-hour, practitioner-focused course. Move beyond static firewalls to design dynamic runtime trust boundaries, implement in-loop policy enforcement, and produce cryptographic evidence for autonomous agents. Built on AEBOP T1.2 with hands-on labs. $249 regularly, free for AEI members.

Master observability for AI agents that fail silently. In this 4-hour course, learn to detect invisible cognitive drift, implement policy-bound telemetry, build replayable decision trails, and generate audit-ready evidence packs. Move beyond dashboards to turn observability into governance for autonomous systems. Fully aligned with AEBOP T1.3. AEI members get 20% off with code MEM_20.

Learn how to diagnose trust leaks in real-world agentic systems and implement the four core protocols that make autonomy auditable and governable. This 3-hour, practitioner-grade course includes hands-on labs, practical schemas, and field-tested patterns to replace fragile APIs with verifiable, protocol-governed exchanges. AEI members get 20% off with code MEM_C5_20.

Traditional governance collapses when systems act autonomously. This 3-hour, hands-on course teaches you how to engineer executable governance that runs at runtime alongside agents. Learn policy-as-code, embedded enforcement, evidence-by-design telemetry, and federated control to build measurable, auditable governance that scales with autonomy. AEI members receive 20% off with code MEM_C6_20.

Learn Agentic Knowledge Engineering, the discipline of engineering knowledge as a live, policy-bound service. In this 3-hour, hands-on course, move beyond static repositories to build a self-healing knowledge fabric. Apply AEBOP T2.1 patterns, code, and trust metrics to eliminate knowledge drift and make truth observable and auditable in production. AEI members receive 20% off with code MEM_C7_20.

Build enterprise-grade context systems that govern what AI agents perceive and act on. Learn to prevent failures such as stale knowledge, privacy leakage, and reasoning drift through structured visibility, policy enforcement, and measurable context health. This 3-hour, hands-on course is aligned to AEBOP T2.2. AEI members receive 20% off with code MEM_C8_20.

Learn to design, build, and govern enterprise-grade agentic memory systems. This 3-hour, hands-on practitioner course teaches policy-aware memory architecture, drift-resistant implementation, and compliant operations using proven patterns, code templates, and runbooks for production AI. Built on AEBOP T2.3 standards. AEI members save 20% with code MEM_C9_20.

Engineer bounded, observable, and recoverable reasoning loops for production agentic systems. Move beyond reactive AI to governed cognition using PDAR architectures, supervisor patterns, and traceable execution. This 3-hour practitioner course includes hands-on labs to design, test, and recover reasoning under failure. Based on AEBOP T2.4 standards. AEI members receive 20% off with code MEM_C10_20.

This 3-hour hands-on course equips engineers to design, implement, and operate governed AI systems in production. Learn disciplined model selection, schema-based contracts, telemetry, and cost-performance engineering to turn experimental models into auditable infrastructure using the AME framework and enterprise patterns. AEI members receive 20% off with code MEM_C11_20.

This 3-hour hands-on course teaches engineers how to design and operate governed multi-agent systems in production. Move beyond fragile coordination into production-ready orchestration using workflow spines, bounded delegation, runtime policy enforcement, and federated trust. Built for engineers shipping scalable agentic systems. Based on AEBOP T2.6 standards. AEI members receive 20% off with code MEM_C12_20.

This 3-hour hands-on course teaches architects how to design and govern enterprise agentic systems. Move beyond fragile prototypes to survivable, auditable platforms using the Agentic Stack, contract-first design, and operational control patterns. Build systems that are safe, observable, and cost-disciplined at scale. Aligns with AEBOP T3.1. AEI members save 20% with code MEM_C13_20.

This 3-hour hands-on course teaches UX designers and engineers how to move beyond traditional UI to build AI interfaces that make reasoning visible, steerable, and accountable. Learn the 5-layer trust architecture, apply actionable interaction patterns, and instrument metrics that turn user trust into a measurable product capability. Aligns with AEBOP T3.2. AEI members save 20% with code MEM_C14_20.

This 3-hour hands-on course teaches you to build reliable, governed integrations between cognitive agents and enterprise systems. Learn production patterns for semantic idempotence, policy-bound execution, schema safety, and self-recovery using reference architectures, code templates, and field-proven methods. Based on AEBOP T3.3. AEI members save 20% with code MEM_C15_20.

Transform fragmented enterprise AI into coherent, governed cognition. This 3-hour hands-on course teaches Agentic Cognition Engineering (ACE): how to design integrated systems that think, act, and learn as one through contracts, observability, and control. Built for architects shipping adaptive, reliable AI at scale. Aligns with AEBOP T3.4. AEI members save 20% with code MEM_C16_20.

This 3-hour hands-on course is for architects building autonomous systems in production. Move beyond perimeter security to runtime trust. Learn to design architectures where every action carries verifiable identity, policy, and provenance. Make autonomy auditable, federated, and safe to scale. Based on AEBOP T3.5. AEI members get 20% off with code MEM_C17_20.

This 3-hour hands-on course teaches teams how to safely run autonomous AI in production. Learn AgentOps principles, reliability patterns, and automation pipelines to control cost, enforce policy, and prove compliance. Designed for engineers, SREs, and platform teams scaling agentic systems. Based on AEBOP T4.1. AEI members save 20% with code MEM_C18_20.

Master Agentic QA in this 3-hour hands-on course. Move beyond traditional testing to continuous validation of agent reasoning, evidence, and safety. Learn daily QA loops, risk-tiered validation, production QA stacks, and ROI-driven metrics using proven patterns from real-world enterprise deployments. Based on AEBOP T4.2. AEI members save 20% with code MEM_C19_20.

Master the 7-loop operating model that turns agentic AI from fragile experiments into governed, production systems. Learn how to build, validate, operate, and scale cognitive systems with continuous, auditable evidence. A 3-hour hands-on course for teams moving beyond deterministic software to provable trust. Based on AEBOP T4.3. AEI members save 20% with code MEM_C20_20.

Move beyond feature roadmaps to agentic products that learn, earn trust, and compound value. Master the Agentic Product Stack, measure Return on Cognition (ROC), and build defensible learning moats. Evolve from product manager to cognitive economy architect shaping scalable AI portfolios. This 3-hour hands-on course is based on AEBOP T5.1. AEI members save 20% with code MEM_C21_20.

Design, implement, and scale agentic teams and organizations. Master five agentic structures—Agentic Teams, Crews, Programs, Guilds, and Organizations—plus loop-based design, trust-driven cadences, and evidence-based performance systems that turn autonomy into a measurable enterprise asset. A 3-hour hands-on course for enterprise practitioners, aligned with AEBOP T5.2. AEI members save 20% with code MEM_C22_20.

Move beyond fragile AI demos to governed, scalable autonomy. Master the 6-dimension Agentic Maturity Model, install the operating system for continuous proof, and embed audit-ready control with measurable ROI. A 3-hour, hands-on course for engineers and leaders scaling agentic AI in production. Stop drift. Start compounding value. Aligned with AEBOP T5.3. AEI members save 20% with code MEM_C23_20.

Master AI-native transformation from strategy to sustained execution. Learn to design adaptive strategy loops, architect value-proving systems, apply agentic engineering, and embed continuous organizational learning. This 3-hour practitioner course with hands-on labs helps you shift from AI projects to living intelligence systems. Aligned with AEBOP T5.4. AEI members save 20% with code MEM_C24_20.

The CAA-E01 exam evaluates the ability to architect complete enterprise agentic systems. Candidates address scenario-based prompts covering end-to-end system design, cognition and memory architectures, trust and governance layers, integration patterns, and operational readiness. The exam validates architectural judgment, trade-off analysis, and trust-by-design at scale.

The CAE-E01 exam validates hands-on engineering capability in building production-grade agentic systems. Candidates respond to real-world scenarios involving cognition loops, memory and context handling, orchestration, runtime guardrails, and trust controls. The exam emphasizes implementation-ready reasoning, failure-aware design, and correct application of Agentic Engineering best practices.

The CAL-E01 exam validates executive-level mastery in leading and governing agentic engineering across the enterprise. Candidates respond to scenarios involving transformation strategy, operating models, investment decisions, governance and risk, and maturity assessment. The exam emphasizes accountable decision-making and scalable, responsible adoption of agentic systems.

A focused strategy session to define your AI-Native vision, assess capability maturity, and identify high-value opportunities. Led by Yi Zhou, founder of Agentic Engineering and author of AI-Native Enterprise, this mini-project delivers clarity and actionable direction to accelerate your AI transformation. It can expand into a 1–3 month full-scope strategy project tailored to your organization’s complexity and goals.

Join Yi Zhou, founder of Agentic Engineering and global AI thought leader, for a high-impact design review that transforms insight into execution. Analyze your AI architecture, agentic workflows, and trust envelope to uncover hidden gaps, boost reliability, and accelerate your path to scalable, production-grade AI systems with clarity, confidence, and measurable business value.