About Certificate training courses
Certificate Courses vs. Formal Certification
Certificate courses are short, half-day sessions that do not require qan exam or continuing education credits to maintain. Formals CIGO or CIGO/AI certification courses are a week long, with half-day classes M-W-F, and y9ou must pass the final exam at 70% to earn your certification.
InfoGov Fundamentals
A half-day of IG basic training, which is the first day of the CIGO certification class. You may apply the course credit and cost toward a formal CIGO certification, either that week or later. .
Course Modules Include:
- Intro to IG Concepts, Definitions
- IG Principles
-IG, IT Governance, Data Governance: What’s the Difference?
- Information Risk Planning and Management
AI Gov Fundamentals
A half-day of AI Governance basic training, which is the first day of the CIGO/AI certification class. You may apply the course credit and cost toward a formal CIGO/AI certification either that week or later.
Course Modules Include:
- Intro to AI, Basic Terms
- AI standards, frameworks, & models
- AI Lifecycle Management
- AI Governance for Business Units
Agentic AI Gov Fundamentals
A half-day of Agentic AI Governance basic training, which is the first day of the CIGO/AI-A certification class. You may apply the course credit and cost toward a formal CIGO/AI-A certification either that week or later.
Course Modules Include:
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Agentic AI Foundational Knowledge
1. What Is Agentic AI? Agentic AI Core Definitions, Lifecycl
A half-day of Agentic AI Governance basic training, which is the first day of the CIGO/AI-A certification class. You may apply the course credit and cost toward a formal CIGO/AI-A certification either that week or later.
Course Modules Include:
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Agentic AI Foundational Knowledge
1. What Is Agentic AI? Agentic AI Core Definitions, Lifecycle, & Governance
a. Phases of Agentic AI Selection, Deployment & Governance
b. Relationship to Traditional AI and Generative AI
c. Reasoning and Planning: The Brains of Agentic AI
d. Real-World Examples
e. The Core Agentic Workflow (Thought-Action-Observation)
f. Detailed Examples of Agentic Automation
g. Agentic Reflection: Self-Correction and Plan Improvement
h. Examples of Reflection in Multi-Step Planning
i. Memory and State Tracking in Agentic AI
j. Interaction Loops with Humans or Environments
2. Categories of AI Agents
a. Task-Oriented Agents
b. Multi-Agent Systems (MAS): Specialized Collaboration
c. Embodied/Robotic Agents
i. Spot vs. Optimus: A Tale of Two Robotic Philosophies
ii. Tesla Optimus vs. Xpeng IRON Humanoid Robots
3. Global & National Regulatory Frameworks
a. Safety, Cybersecurity, and Data Standards
b. ISO standards
c. Emerging Agentic AI standards
4. Core Technologies & Architecture
a. LLM-Based Agent Architectures
b. Retrieval-Augmented Generation (RAG): Grounding the Agent
c. Chain-of-Thought Planning
5. Agent Frameworks & Platforms
6. Memory & State Management
7. Emerging Standards & Governance
8. Emerging Trends in Tool Protocols
9. Human-in-the-Loop vs. Human-on-the-Loop Oversight