Online learning content

    1. 1.1 Welcome to this unit

    2. 1.2 Introducing AI and data governance

    3. 1.3 What this unit will cover

    4. 1.4 What you’ll learn

    5. 1.5 A note on completing this unit

    6. 1.6 Section 1 quiz

    1. 2.1 Welcome to section 2

    2. 2.2 Understanding AI governance principles

    3. 2.3 Examples: Organisational AI principles

    4. 2.4 The state of AI governance

    5. 2.5 Making AI responsible and explainable

    6. 2.6 Understanding AI governance risks

    7. 2.7 Managing organisational AI systems

    8. 2.8 Understanding industry frameworks

    9. 2.9 Aligning governance with AI strategies

    10. 2.10 Using AI policies and guidelines

    11. 2.11 AI governance tools

    12. 2.12 Section 2 Quiz

    1. 3.1 Welcome to section 3

    2. 3.2 Understanding ML, DL and data

    3. 3.3 Using the data science hierarchy of needs

    4. 3.4 Understanding data architecture

    5. 3.5 Understanding the data lifecycle

    6. 3.6 Considerations for AI data management

    7. 3.7 Understanding data governance

    8. 3.8 Organisational AI data strategies

    9. 3.9 Tools for AI data management

    10. 3.10 Section 3 Quiz

    1. 4.1 Welcome to section 4

    2. 4.2 Reviewing organisational strategies

    3. 4.3 Understanding the risks of employee AI use

    4. 4.4 Analysing employee AI use

    5. 4.5 Employee AI use analysis template

    6. 4.6 Analysing AI data management practices

    7. 4.7 AI data management review template

    8. 4.8 Investigating AI best practices

    9. 4.9 Investigating AI data management capabilities

    10. 4.10 Researching AI data management trends

    11. 4.11 Exploring AI decision-making best practices

    12. 4.12 Preparing a research report

    13. 4.13 AI data and governance research report template

    14. 4.14 Section 4 Quiz

    1. 5.1 Welcome to section 5

    2. 5.2 Setting ethical standards

    3. 5.3 Improving AI policies and guidelines

    4. 5.4 Considering industry frameworks and compliance

    5. 5.5 Supporting AI transparency and explainability

    6. 5.6 Considering data governance and security

    7. 5.7 Planning risk management and monitoring approaches

    8. 5.8 Creating a draft AI governance strategy

    9. 5.9 AI governance strategy template

    10. 5.10 Setting data goals, objectives and success measures

    11. 5.11 Establishing a data governance framework

    12. 5.12 Setting an AI technology framework

    13. 5.13 Determining data and AI literacy strategies

    14. 5.14 Preparing a data management framework

    15. 5.15 Establishing data roles and responsibilities

    16. 5.16 Creating a draft AI data strategy

    17. 5.17 AI data strategy template

    18. 5.18 Finalising your AI governance and data strategies

    19. 5.19 Section 5 Quiz

    1. 6.1 Welcome to section 6

    2. 6.2 Introduction to implementing AI governance and data strategies

    3. 6.3 Planning to implement AI governance and data management

    4. 6.4 AI governance implementation plan template

    5. 6.5 Planning training on AI governance and data management

    6. 6.6 Employee training plan template

    7. 6.7 Communicating AI governance and data management

    8. 6.8 Monitoring the initial implementation

    9. 6.9 Reviewing AI governance

    10. 6.10 AI governance implementation report

    11. 6.11 Section 6 Quiz

About this unit

  • 90 lessons