GS-103Axalon Original
Responsible AI in Practice
Taught by Dan King, 4x Google Trainer of the Year
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Public class policy: Classes run with a minimum of 6 participants. If minimum enrollment isn't reached, you'll be notified 7 days before with options to transfer or receive a full refund.
Overview
Implement responsible AI practices in your organization. Learn to evaluate models for bias, ensure fairness, maintain transparency, and build AI systems that align with ethical guidelines.
What You'll Learn
- Apply Googles AI Principles to real projects
- Detect and mitigate bias in AI systems
- Implement transparency and explainability
- Design human oversight for AI decisions
- Document AI systems for accountability
Who Should Attend
HR/compliance teams, executives, product managers, anyone deploying AI
Prerequisites
None
Products Covered
Vertex AIExplainable AIModel Cards
Course Modules
1
Responsible AI Foundations
Topics
- Google's AI Principles
- Common failure modes and their impacts
- Regulatory expectations
- Stakeholder concerns
2
Bias Detection & Mitigation
Topics
- Types of AI bias
- Testing for bias in Vertex AI
- Mitigation strategies
- Ongoing monitoring
3
Transparency & Explainability
Topics
- Model cards and documentation
- Explainable AI features
- User communication
- Audit readiness
4
Human Oversight Patterns
Topics
- When AI should defer to humans
- Designing review workflows
- Escalation and appeals
- Continuous improvement
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- GS-103
- Duration
- 1 day
- Format
- Workshop
- Level
- Introductory
- Price
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Questions About This Course?
Contact us for custom scheduling, group discounts, or curriculum customization.
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