Course curriculum

  • 1

    Section 1: Introduction to AI, ML and DL

    • 1.1 Welcome to this unit

    • 1.2 The value of understanding AI, ML and DL

    • 1.3 What this unit will cover

    • 1.4 What you’ll learn

    • 1.5 A note on completing this unit

    • 1.6 Section 1 quiz
  • 2

    Section 2: Understanding AI, ML and DL technologies

    • 2.1 Welcome to section 2

    • 2.2 The link between AI, ML and DL

    • 2.3 What’s the difference between ML, DL, and rule-based AI?

    • 2.4 Understanding ML models

    • 2.5 Enterprise ML software

    • 2.6 Understanding DL models

    • 2.7 Benefits and challenges of DL

    • 2.8 DL enterprise software

    • 2.9 Section 2 Quiz
  • 3

    Section 3: How organisations use AI, ML and DL

    • 3.1 Welcome to section 3

    • 3.2 Automating tasks and processes

    • 3.3 Using computer vision

    • 3.4 Applying facial recognition

    • 3.5 Creating recommendation systems

    • 3.6 Automatic speech recognition (ASR)

    • 3.7 Enabling translations

    • 3.8 Forecasting and analysing data

    • 3.9 Other examples of using AI, ML and DL

    • 3.10 Section 3 Quiz
  • 4

    Section 4: Investigating opportunities for AI, ML and DL

    • 4.1 Welcome to section 4

    • 4.2 Utilising AI, ML and DL technologies

    • 4.3 Understanding automation requirements

    • 4.4 Considering laws, policies and procedures

    • 4.5 Investigating different technologies

    • 4.6 Preparing a research report

    • 4.7 Research report template

    • 4.8 Considering implementation risks

    • 4.9 Examples of implementation risks

    • 4.10 Discussing technology options with stakeholders

    • 4.11 Meeting minutes template

    • 4.12 Section 4 Quiz
  • 5

    Section 5: Proposing recommendations

    • 5.1 Welcome to section 5

    • 5.2 Drafting a recommendations document

    • 5.3 Recommendations document template

    • 5.4 Presenting your draft recommendations

    • 5.5 Tips for gaining feedback from stakeholders

    • 5.6 Creating and submitting your final recommendations

    • 5.7 Tips for gaining final approval from stakeholders

    • 5.8 Section 4 Quiz
  • 6

    Section 6: AI, ML and DL Summary

    • 6.1 Welcome to section 6

    • 6.2 Key takeaways

    • 6.3 The future of AI, ML and DL

    • 6.4 How to keep your knowledge up to date

    • 6.5 Congratulations and what’s next
  • 7

    Section 7: Bonus resouces

    • 7.1 Bonus section introduction

    • 7.2 A Beginner’s Guide to AI for Business Transformation

    • 7.3 Six Things You Need to Know about Machine Learning to Be Successful

    • 7.4 Laying the Foundation for Data- and AI-led Growth

    • 7.5 Insights on Artificial Intelligence in the Enterprise

    • 7.6 The Definitive Guide to Machine Learning for Business Leaders

    • 7.7 The Path To AI-Powered Retail