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AI for Customer Support

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26
lessons
100-150 hours
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AI Assistance vs Automation — When to Use Each
lesson · M1 · 10 min
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AI in Your Work — Real Use Cases and Verification
lesson · M2 · 10 min
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Anti-Patterns in AI Deployment — What Goes Wrong
lesson · M3 · 10 min
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Automation Bias and Over-Reliance — Losing Your Edge
lesson · M4 · 10 min
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Avoiding Pitfalls — Anti-Patterns and Responsible Use
lesson · M5 · 10 min
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Building a Personal Responsible AI Practice
reading · M6 · 10 min
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Ethical Considerations in AI-Assisted Support
reading · M7 · 10 min
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Fairness, Bias and Equity in AI Systems
reading · M8 · 10 min
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Hallucination — Why It Happens and How to Detect It
reading · M9 · 10 min
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Hard Boundaries — When AI Must Not Be Used
reading · M10 · 10 min
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How Generative AI Works — Training, Generation and Hallucination
reading · M11 · 10 min
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AI for Customer Support Curriculum
reading · M12 · 10 min
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Judgment Use Cases — Prioritization, Categorization and Routing
reading · M13 · 10 min
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Organizational Guardrails and Accountability
reading · M14 · 10 min
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Pattern Recognition and Trend Detection with AI
reading · M15 · 10 min
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Practical Decisions and Building Customer Trust
reading · M16 · 10 min
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Privacy Risks and Escalation Failures
reading · M17 · 10 min
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Recognizing AI Limitations in Customer Interactions
reading · M18 · 10 min
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Responsible AI Fundamentals — What It Means and Your Role
reading · M19 · 10 min
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Responsible Data Handling for Support Agents
reading · M20 · 10 min
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Safe Use Cases — Summarization, Drafting and Retrieval
reading · M21 · 10 min
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Tone, Empathy and Policy Misalignment Failures
reading · M22 · 10 min
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Transparency, Privacy and Data Protection
reading · M23 · 10 min
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Understanding AI Risk Profiles in Support
reading · M24 · 10 min
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What AI Is — Core Concepts and Limitations
reading · M25 · 10 min
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When to Stop Using AI: Recognizing Boundary Cases
reading · M26 · 10 min
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FREE ✓ Enroll → lifetime access · 26 lessons

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Apply AI effectively and responsibly in customer support and service operations.

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