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AI for Customer Support

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100-150 hours
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📖
Building the Drafting Habit -- Skill Development
reading · M1 · 15 min
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Building Verification Habits and Handling Policy Changes
reading · M2 · 15 min
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Calibrating Trust in AI Outputs
reading · M3 · 15 min
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Collaborative AI Learning with Your Team
reading · M4 · 15 min
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Common Quality Failures -- Detection and Prevention
reading · M5 · 15 min
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Detecting and Preventing Hallucination in Drafts
reading · M6 · 15 min
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Escalation Judgment and Transition to Independence
reading · M7 · 15 min
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Handling Retrieval Failures -- Scenarios and Anti-Patterns
reading · M8 · 15 min
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Knowledge Retrieval Fundamentals -- Why Verify
reading · M9 · 15 min
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Measuring Your AI Skill Progression
reading · M10 · 15 min
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Optimizing Retrieval -- Query Structure and Multiple Results
reading · M11 · 15 min
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Overcoming AI Hesitation: Building Productive Habits
reading · M12 · 15 min
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Peer and Manager Review -- Feedback Loops
reading · M13 · 15 min
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Quality Monitoring and Escalation Judgment
reading · M14 · 15 min
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Quality Review Framework -- Self, Peer, Manager
reading · M15 · 15 min
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Recognizing and Fixing AI Errors in Summaries
reading · M16 · 15 min
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Response Drafting Fundamentals -- High Value, High Risk
reading · M17 · 15 min
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Response Types and When NOT to Use AI
reading · M18 · 15 min
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Self-Review Mastery -- Checklists and Habits
reading · M19 · 15 min
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Summarization Fundamentals -- What Makes a Good Summary
reading · M20 · 15 min
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The Review-Before-Send Discipline -- Quality Checklist
reading · M21 · 15 min
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The Summarization Workflow -- AI to Verification
reading · M22 · 15 min
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The Verification Workflow -- Finding Hallucination and Outdated Info
reading · M23 · 15 min
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Transitioning from Assisted to Independent AI Use
reading · M24 · 15 min
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Triage and Categorization -- Beyond Keywords
reading · M25 · 15 min
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about this course

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

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25 lessons