Course curriculum

    1. Instructions

    2. Course Workbook

    1. Introduction and Learning Objectives

    2. Section One: Understanding AI Technologies

    3. Testing Your Starting Point

    4. Types of AI in Publishing

    5. Key Components of Large Language Models

    6. Flash Question: Understanding Tokenization

    7. AI Terminology for Publishers

    8. Knowledge Check 1

    9. Section Two: AI in Today's Publishing Landscape

    10. Major Publisher Implementations

    11. Benefits and Challenges Matrix

    12. Knowledge Check 2

    13. Section Three: Essential AI Terminology for Publishers

    14. Knowledge Check 3

    15. Section Four: Ethical Framework and Copyright Considerations

    16. Knowledge Check 4

    17. Section Five: Industry Guidelines and Standards

    18. Future Trends: Test Your Prediction Skills

    19. Knowledge Check 5

    20. Module 1 - Wrap Up

    21. End of Module 1 Quiz

    1. Introduction and Learning Objectives

    2. Section One: Content Generation and Writing Assistance Tools

    3. Exercise: Abstract Optimization

    4. Knowledge Check 1

    5. Section Two: Research Discovery and Analysis Tools

    6. Exercise: Literature Review Time Calculator

    7. Knowledge Check 2

    8. Section Three: Editing, Proofreading & Translation Solutions

    9. Exercise: Translation Quality Comparison

    10. Knowledge Check 3

    11. Knowledge Check 4

    12. Section Four: Production and Workflow Automation

    13. Exercise: Workflow Optimization

    14. Knowledge Check 5

    15. Section Five: Efficiency Metrics and Performance Measurement

    16. Knowledge Check 6

    17. Section Six: Quality Control, Validation and Prompt Engineering

    18. Exercise: Prompt Engineering

    19. Knowledge Check 7

    20. Section Seven: Module 2 Wrap Up

    21. End of Module 2 Assessment

    1. Recap

    1. Learning Objectives

    2. Section One: Workflow Analysis and Assessment

    3. Knowledge Check 1

    4. Section Two: Change Management and Staff Training

    5. Key Change Management Principles

    6. Knowledge Check 2

    7. Section Three: Quality Assurance and Validation Protocols

    8. Key Lessons

    9. Scenario-Based Quiz

    10. Review: Quality Assurance Terms

    11. Knowledge Check 3

    12. Section Four: Performance Measurement and Success Metrics

    13. Knowledge Check 4

    14. Section Five: Risk Assessment and Mitigation

    15. Review: Risk Management Concepts

    16. Risk Assessment Exercise

    17. Knowledge Check 5

    18. Section Six: Implementation Planning and Timeline

    19. Knowledge Check 6

    20. End of Module 3 Quiz

    1. Learning Objectives

    2. Section One: Emerging AI Trends and Strategic Planning

    3. Knowledge Check 1

    4. Section Two: Regulatory Preparedness and Policy Development

    5. Knowledge Check 2

    6. Section Three: Building AI-Ready Organizational Culture

    7. Knowledge Check 3

    8. Section Four: Long-Term Strategic Planning

    9. Knowledge Check 4

    10. Section Five: Integration and Application

    11. End of Module 4 Quiz

    12. Module 4 Wrap-Up

About this course

  • Free
  • 80 lessons
  • 1.5 hours of video content

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