Generative AI Leader
In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.
2 d
Fundamental
GCPSPARKSAGENTICAIGOV
Agentic AI Governance Essentials Training
This course provides learners with the essential skills to govern the design, deployment, and scaling of autonomous, Agentic AI systems. It focuses on enabling rapid innovation and accelerating speed-to-market while managing the unique risks presented by AI systems that can make decisions without constant human input.
The course is structured around the practical application of the four-phase Agentic AI Governance Maturity Roadmap (Establish, Implement, Scale, Accelerate), using case studies, discussions, and a tabletop exercise to connect theory to real-world challenges.
What you will learn
- Establish a cross-functional AI governance committee and core ethical principles.
- Implement technical enforcement mechanisms, such as Decision Provenance Logs and Human Veto Points.
- Scale governance enterprise-wide by standardizing tooling and integrating controls into the CI/CD pipeline.
- Leverage governance as a competitive advantage by shifting from oversight to enablement.
- Define Agentic AI and identify key risk vectors unique to autonomous systems, including opacity of logic and accountability.
Target audience
- Business leaders, Technical practitioners, Governance professionals
Training Program
6 modules to master the fundamentals
Objectives
- Define agentic AI and understand its governance implications.
Topics covered
- →Defining agentic AI
- →The governance gap
- →Agentic AI risk
- →Introduction the governance maturity roadmap
Objectives
- Identify key risk vectors unique to autonomous AI systems.
- Establish accountability and oversight mechanisms.
Topics covered
- →Setting strategic vision and accountability
- →Business scenario: Cymbal Health
- →6 steps for Establish phase
Activities
1 discussion topic
Objectives
- Implement governance frameworks for agentic AI deployments.
- Design controls that balance innovation with risk management.
Topics covered
- →Building technical enforcement
- →Business scenario: Cymbal Insurance
- →6 steps for Implement phase
Activities
1 discussion topic
Objectives
- Establish accountability and oversight mechanisms.
Topics covered
- →Embedding governance enterprise-wide
- →Business scenario: Cymbal Shops
- →5 steps for Scale phase
Activities
1 tabletop exercise
Objectives
- Design controls that balance innovation with risk management.
Topics covered
- →Leveraging governance for competitive advantage
- →Business scenario: Cymbal Fintech
- →5 steps for Accelerate phase
Activities
1 discussion topic
Topics covered
- →Recap
- →Q&A
- →Quiz
- →Survey
Related Trainings
Develop Conversational Agents on Google Cloud
Conversational Agents, part of AI Applications, is an intelligent, conversational (GUI) interface. Conversational Agents uses an AI development system with access to SDKs and APIs in multiple languages. In this course, you will learn how to leverage Conversational Agents to design and build conversational agents on Google Cloud.
3 d
Intermediate
GenAI & Industry: Value Strategies for an Augmented Enterprise
Unify your systems and business units with industrial GenAI. In a market where information fluidity and digital continuity are the new pillars of performance, this training transforms your decision-makers into leaders of an 'augmented' industry. Focused on breaking down data silos and capitalizing on expertise, it enables you to connect your software and teams around a shared intelligence. Participants leave with a clear vision and concrete strategies to transform the complexity of their information system into an immediate and sustainable productivity lever.
1 d
Fundamental
Upcoming sessions
No date suits you?
We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.
Register for a custom dateQuality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
Teaching Methods Used
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Case Study — Analysis of a real or fictional business scenario to derive solutions.
- Group Discussion — Open exchange among peers and the instructor on a specific topic.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Frequently Asked Questions
No technical prerequisites are required. This training is designed for business leaders, technical practitioners, and governance professionals who need to understand the specific challenges of agentic AI.
It is designed for business leaders and decision-makers, technical practitioners, and governance and compliance professionals who need to oversee the deployment of autonomous AI systems in their organization.
The training uses detailed case-study scenarios including Cymbal Health, Cymbal Insurance, Cymbal Shops, and Cymbal Fintech. Each case illustrates a phase of the governance maturity roadmap.
It is a four-phase framework (Establish, Implement, Scale, Accelerate) that structures the progressive implementation of governance for autonomous AI systems, from foundations to competitive advantage.
The training covers Decision Provenance Logs (real-time audit logging), the Human Veto Point (HVP), technical guardrails, CI/CD pipeline control integration, and setting up a centralized orchestration platform.
Our training organizations SFEIR SAS and SFEIR-Est are Qualiopi certified for training activities, which allows you to request funding from your OPCO. Funding approval remains at your OPCO's discretion. Contact us for a quote.
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote
Cloud Sparks Program