🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
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Technical AI Governance Essentials – Foundations Training

The 'Technical AI Governance Essentials – Foundations' course provides a comprehensive roadmap for organizations to mature their AI governance capabilities from a hands-on, technical perspective. The course's primary goal is to guide students in establishing, integrating, and orchestrating AI governance platforms, ultimately positioning technical governance as an enabler of speed and innovation. The emphasis is on understanding the holistic technical approach, architecture, and implementation of AI governance in a real-world context.

Google Cloud
✓ Official training Google CloudLevel Fundamentals⏱️ 0.5 day (3h)

What you will learn

  • Explain the holistic approach, principles, and key considerations of AI governance.
  • Design architecture patterns for governance-by-design.
  • Implement strategies for AI governance across different organizational scales.
  • Integrate governance techniques within diverse technical environments.
  • Apply advanced optimization and automation approaches to AI governance.
  • Develop platform designs for governance-as-a-service.

Prerequisites

  • Any technical background—experience implementing production systems, software engineers, solution architects, and security professionals.

Target audience

  • This course is aimed at technical practitioners and technical-adjacent roles, such as data scientists, MLOps engineers, data engineers, cloud security architects, and technical leads responsible for designing, building, and maintaining AI systems. The ideal attendee has significant experience in a technical role and is involved in building AI applications or infrastructure.

Training Program

3 modules to master the fundamentals

Objectives
  • Explain the holistic approach, principles, and key considerations of AI governance.
Objectives
  • Design architecture patterns for governance-by-design.
Activities

Discussion: Identifying your technical debt

Quiz questions

Discussion: Technical tools as governance enablers

Objectives
  • Implement strategies for AI governance across different organizational scales.
Activities

Discussion: Tailoring governance for performance

Quiz questions

Discussion: Measure platform success

Tabletop exercise: Corrupted data incident

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Upcoming sessions

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We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

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Quality 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).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • 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

This course is designed for architects, ML and platform engineers, and technical leads who build and operate AI governance from a hands-on perspective.
A technical background is recommended, as the course covers architecture and platform implementation. No prior governance tooling experience is required.
You will learn to design architecture patterns for governance-by-design, build a governance platform, integrate governance across technical environments, and lay the groundwork for governance-as-a-service.
The modules 'Set up infrastructure' and 'Integrate' walk through building a governance platform and unifying it across your technical environments so governance becomes an enabler of speed.
The course lasts 3 hours and is delivered live in an instructor-led format.
Yes. This is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.

395€ excl. VAT

per learner

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