Australian College of Business Intelligence

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

2.1 Welcome to section 2

2.2 The link between AI, ML and DL

2.3 What’s the difference between ML and DL?

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

3.1 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

4.1 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

5.1 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

6.1 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