CS-AGAIGOESSOfficial Google Curriculum
Agentic AI Governance Essentials
1 dayILTIntermediateLoading...
Overview
This course provides learners with essential skills to govern the design, deployment, and scaling of autonomous Agentic AI systems. It focuses on enabling rapid innovation while managing the unique risks presented by AI systems that can make decisions without constant human input. The course is structured around the four-phase Agentic AI Governance Maturity Roadmap.
What You'll Learn
- Define Agentic AI and identify key risk vectors unique to autonomous systems
- Establish foundational structure including cross-functional AI governance committee and core ethical principles
- Implement technical enforcement mechanisms such as real-time audit logging and Human Veto Point guardrails
- Scale governance enterprise-wide by standardizing tooling and integrating controls into CI/CD pipeline
- Leverage governance as competitive advantage by shifting from oversight to enablement
Who Should Attend
Business leaders, Technical practitioners, Governance professionals
Prerequisites
N/A
Products Covered
Gemini EnterpriseAgent Developer Kit
Course Modules
1
The agentic AI governance imperative
Topics
- Defining agentic AI
- The governance gap
- Agentic AI risk
- Introduction the governance maturity roadmap
Learning Outcomes
- Define agentic AI and understand its governance implications
2
Establish
Topics
- Setting strategic vision and accountability
- Business scenario: Cymbal Health
- 6 steps for Establish phase
Learning Outcomes
- Identify key risk vectors unique to autonomous AI systems
- Establish accountability and oversight mechanisms
Activities
Discussion topic
3
Implement
Topics
- Building technical enforcement
- Business scenario: Cymbal Insurance
- 6 steps for Implement phase
Learning Outcomes
- Implement governance frameworks for agentic AI deployments
- Design controls that balance innovation with risk management
Activities
Discussion topic
4
Scale
Topics
- Embedding governance enterprise-wide
- Business scenario: Cymbal Shops
- 5 steps for Scale phase
Learning Outcomes
- Establish accountability and oversight mechanisms
Activities
Tabletop exercise
5
Accelerate
Topics
- Leveraging governance for competitive advantage
- Business scenario: Cymbal Fintech
- 5 steps for Accelerate phase
Learning Outcomes
- Design controls that balance innovation with risk management
Activities
Discussion topic
6
Conclusion and quiz
Topics
- Recap
- Q&A
- Quiz
- Survey
What's Not Covered
- In-depth use cases for specific products. This course focuses on the principles of agentic AI governance in general.
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- CS-AGAIGOESS
- Duration
- 1 day
- Format
- ILT
- Level
- Intermediate
- Modules
- 6
- Activities
- 1
- Price
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