Purpose / Overview
- Prepares senior leaders to design, deploy, and govern agentic (autonomous) AI at enterprise scale.
- Focuses on strategic implementation, risk management, governance, and cybersecurity unique to autonomous agents.
- Equips executives to translate strategy into safe, measurable business value through agentic systems.
Target Audience
- C-suite executives, founders, and business unit leaders
- Senior program, strategy, and transformation leaders
- Heads of data and AI, product/platform owners, technical architects, and engineering leaders
- Cybersecurity and risk professionals working with autonomous systems
Key Learning Objectives
- Define and categorize agentic AI patterns, roles, and autonomy levels.
- Establish decision-making frameworks, guardrails, and escalation mechanisms for responsible autonomy.
- Build governance models including oversight structures, audit trails, and vendor-risk processes.
- Create trust frameworks addressing ethics, safety, explainability, and human oversight.
- Integrate human decision support and design executive dashboards for monitoring agent behavior.
- Develop roadmaps and operating models for scaling multi-agent ecosystems across the enterprise.
- Strengthen cybersecurity and threat-modeling for autonomous systems.
Curriculum / Course Structure
- Agentic foundations (agent types, autonomy, patterns)
- Decision autonomy frameworks and control structures
- Governance models and operational risk management
- Trust, safety, red-teaming, and ethical considerations
- Human–agent interaction and human-in-the-loop design
- Executive technical literacy (models, prompting, sandboxing)
- Multi-agent system orchestration and scaling
- Legal, ethical, and regulatory responsibilities
- Change management and workforce adaptation
- Continuous learning and readiness in an evolving AI landscape
Assessment / Certification Requirements
- Includes quizzes, assignments, and a capstone project
- Exam includes multiple-choice and scenario-based questions
- Passing score is 70% or higher
Duration / Delivery
- Delivered as a two-day executive-level program
- Combines lectures, interactive discussions, workshops, and project-based learning
- Includes access to tools, case studies, and supplementary resources
Core Exam Domains
- Strategic autonomy planning
- Control and assurance design
- Ethical risk and compliance
- Secure agent operations
- Human-centered decision support
- Portfolio execution and scaling
Outcomes / Benefits
- Ability to lead agentic AI transformation with integrated governance, ethics, and risk management
- Capability to develop KPIs, operating models, and executive dashboards for autonomous systems
- Strengthened security posture and resilience in AI deployments
- Improved trust and accountability through clear controls, escalation paths, and auditability
Who Certifies
Tonex Training issues the CEAAI certification upon successful completion of program requirements.
Prerequisites / Requirements
- No formal technical prerequisites
- Recommended for leaders with experience in strategy, technology governance, or enterprise transformation
Why It Matters / Strategic Value
- As organizations deploy autonomous agents, CEAAI ensures leaders understand the strategic, operational, and ethical implications.
- Provides a framework for responsible, controlled, and auditable autonomous AI adoption.
- Helps close the gap between rapid technical advancements and executive decision-making oversight.
Want to learn more? Tonex offers Certified Executive in Agentic AI (CEAAI) Certification, a 2-day course where participants define agentic AI patterns and align them with enterprise strategy as well as establish decision rights, guardrails, and escalation paths for autonomy.
Attendees also design governance and KPIs for accountable outcomes, build trust frameworks spanning ethics, auditability, and risk management, enable human-in-the-loop and executive decision augmentation, drive portfolio roadmaps and operating models for scale and strengthen resilience with cybersecurity controls purpose-built for agentic AI.
This course is especially beneficial for:
- C-level executives and founders
- Senior program and transformation leaders
- Heads of data and AI
- Product and platform owners
- Technical architects and engineering leaders
- Cybersecurity Professionals
Tonex is the leader in AI certifications, offering more than six dozen courses, including in the Certified GenAI and LLM Cybersecurity Professional area. Tonex also offers several Agentic AI courses, including:
Certified Agentic AI Engineer (CAAIENG)
Certified Agentic AI Leadership Professional (CAAILP)
Certified Agentic AI System Designer (CAAISD)
Certified Agentic AI Systems Architect (CAAISA)
Certified Agentic AI Professional (CAAIP)
Certified Agentic AI Developer (CAAD)
Auditing AI Guidelines & Frameworks (ML, LLM, Agentic) Essentials
Additionally, Tonex offers even more specialized AI courses through its Neural Learning Lab (NLL.AI). Check out the certification list here.
For more information, questions, comments, contact us.
