Learning Content: PM-10

1. Present information to an audience

The document expects the learner to analyse an audience, select a topic, define an objective, prepare the body of the presentation, choose suitable technology, decide on the presentation method, prepare an introduction and conclusion, prepare for delivery, adapt style to audience reaction, and speak from memory, notes, or text. 

What this means in practice

A learner must first understand who they are speaking to. A presentation for managers is different from one for classmates or customers. The learner should ask:

  • What does the audience already know?

  • What do they need to learn?

  • What tone is appropriate?

Then the learner selects a topic. For this module, a good topic could be:

  • AI in customer service

  • Benefits of cloud tools in business

  • 4IR opportunities in the workplace

After choosing the topic, the learner defines the objective. The objective should answer:

  • What should the audience know, think, or do after the presentation?

Then the learner gathers information and turns it into a simple structure:

  • Introduction

  • Main points

  • Conclusion

The learner must also choose an appropriate presentation technology. This could be:

  • slides

  • charts

  • images

  • whiteboard

  • handout

The presentation method also matters. The module gives storytelling as an example. That means the learner should not just dump facts, but guide the audience through the topic in a clear flow. 

Example

If the topic is “How AI reduces repetitive work,” the learner could:

  • introduce a common workplace problem

  • explain how repetitive work wastes time

  • show examples of AI tools

  • conclude with the impact on productivity

2. Conduct basic research on 4IR skills and application opportunities

The module requires the learner to gather and explore information on technologies such as Google, Amazon, and Microsoft, and identify opportunities to use these tools to improve or reduce development time. It also requires research into business intelligence applications and Big Data.

What this means in practice

The learner must do guided workplace research, not random browsing.

The learner should investigate:

  • AI APIs from companies like Google, Amazon, or Microsoft

  • how those tools can save development time

  • how businesses use BI tools

  • how data becomes information, then knowledge, then intelligence

The learner should focus on practical workplace questions such as:

  • Which ready-made tools could be embedded instead of building from scratch?

  • How can BI dashboards help managers make decisions?

  • How can Big Data improve customer insight or operations?

Example

A learner may research:

  • Google Vision API for image recognition

  • Amazon Transcribe for speech-to-text

  • Microsoft Azure AI services for chatbots

Then explain how these tools save time because developers do not need to build everything from zero.

3. Ensure compliance with code of conduct and governance

The module requires the learner to compare company policy with legislation, industry norms, and standards; compare code of conduct with policy; and compare IT procedures with policy and code of conduct to identify shortfalls or opportunities for improvement.

What this means in practice

This part is about workplace ethics and governance.

The learner must understand three things:

  • policy: what the company says should happen

  • code of conduct: expected ethical behaviour

  • procedures: what staff actually do in practice

The learner should check whether they align.

A practical way to do this

The learner can review:

  • a workplace policy document

  • the company code of conduct

  • a simple IT procedure like password handling, email use, or data access

Then ask:

  • Does the procedure match the policy?

  • Are there gaps?

  • Are there risks of non-compliance?

Example

If the company policy says passwords must be changed every 60 days, but employees keep shared passwords written on paper, there is a compliance gap.

This part teaches learners that being effective in the workplace is not only about doing the job, but doing it ethically and within company rules.

4. Collaborate with team members in the workplace

This practical module includes collaboration with team members as a required skill. 

What this means in practice

The learner must be able to work with others toward a shared result.

This includes:

  • listening

  • contributing ideas

  • accepting feedback

  • respecting roles

  • finishing assigned tasks

A multidisciplinary team means people with different backgrounds or job roles. For example:

  • developer

  • analyst

  • support person

  • manager

The learner needs to understand that good collaboration is not just “being nice.” It is active participation with accountability.

Example

If a team is planning an AI solution, one learner may handle research, another presentations, and another technical setup. The learner must play their part and also communicate progress clearly.

5. Attend and participate in meetings

This module also requires learners to attend and participate in meetings. 

What this means in practice

A learner should know how to behave in a professional meeting.

That includes:

  • being prepared

  • understanding the meeting purpose

  • contributing relevant points

  • taking notes

  • following actions agreed in the meeting

Example

If a meeting is about using AI tools in customer support, the learner should:

  • know the topic in advance

  • listen carefully

  • contribute one or two informed ideas

  • record any tasks assigned

This builds professional confidence and workplace discipline.

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