AI & Efficiency
Quality Control in AI-Assisted Work
Ensure accuracy and reliability when working with AI outputs.
45 minutes
intermediate
3 modules
About This Course
AI outputs require verification. This course teaches systematic approaches to fact-checking, identifying hallucinations, validating data, and maintaining quality standards when integrating AI into professional work.
What You'll Learn
- Identify common AI error patterns and hallucinations
- Apply systematic verification workflows
- Use AI to cross-check its own outputs
- Establish quality gates for AI-assisted deliverables
Course Content
1
Understanding AI Limitations
Common failure modes: hallucinations, outdated info, reasoning errors
2
Verification Workflows
Step-by-step processes for validating AI outputs
3
Quality Gates
Setting up checkpoints and review processes for AI work
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This course includes:
- 45 minutes of content
- 3 modules
- Certificate upon completion
- Full lifetime access