Course Content
KM-01: Introduction to RPA and Digital Transformation
This module introduces learners to the fundamentals of Robotic Process Automation (RPA), digital transformation, and automation technologies used in modern business environments. Learners will explore how businesses use automation to improve efficiency, reduce repetitive tasks, and support digital innovation.
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KM-04: Computing Theory
This module introduces learners to the foundational principles of programming and computing theory used in software development and automation environments. Learners will explore programming languages, programming logic, algorithms, variables, operators, loops, functions, and software applications commonly used in modern computing systems. The module also introduces concepts related to web technologies, databases, artificial intelligence, and software development methodologies.
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KM-05: Data, Databases and Data Scraping
This module introduces learners to the principles of data management, databases, and data scraping used in modern digital and automation environments. Learners will explore how organisations collect, store, analyse, secure, and visualise data to support business processes and decision-making. The module also introduces structured query language (SQL), relational databases, web scraping techniques, and software tools used for analysing and visualising data in automation and RPA environments.
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KM-06: Introduction to RPA for Automation of Processes
This module introduces learners to the foundational concepts, technologies, and processes involved in Robotic Process Automation (RPA). Learners will explore automation principles, business process analysis, workflow automation, process mapping, bots, attended and unattended automation, and the role of RPA in improving operational efficiency. The module also examines how organisations identify processes suitable for automation and how RPA supports digital transformation initiatives.
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KM-07: Robotic Process Automation (RPA)
This module focuses on building an understanding of how to use a toolkit or platform, using a vendor-specific approach, for the creation and deployment of automated processes. Learners will explore variables, arguments, automation selectors, control flow, data manipulation, automation concepts, automation management, and methods used to secure the RPA ecosystem from security risks. The module develops practical knowledge required to build, manage, and support automation solutions within modern RPA environments.
0/15
KM-08: Introduction to RPA Governance, Legislation and Ethics
This module introduces learners to governance, legislation, compliance, ethics, and responsible practices within Robotic Process Automation (RPA) environments. Learners will explore legal requirements, organisational governance, ethical considerations, compliance frameworks, privacy protection, intellectual property, accountability, and professional conduct related to automation technologies. The module also examines how organisations manage risk, maintain compliance, and ensure ethical use of RPA systems within modern digital business environments.
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KM-09: Fundamentals of Design Thinking and Innovation
This module introduces learners to the fundamentals of design thinking and innovation within modern business and technology environments. Learners will explore design thinking principles, human-centered design, creativity, innovation, design concepts, design thinking methodologies, and the practical application of design thinking in software development, cybersecurity, and business problem-solving. The module focuses on developing innovative thinking, problem-solving skills, and creative approaches used in modern workplaces and digital transformation environments.
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KM-10: 4IR and Future Skills
This module focuses on building an understanding of the impact of the Fourth Industrial Revolution (4IR) on communities, individuals, and businesses, as well as the future skills required in modern digital environments. Learners will explore emerging 4IR technologies, computing knowledge, future skills and competencies, business trends, interpersonal and intrapersonal skills, communication methods, workplace teamwork, customer service, and professional workplace practices required within modern organisations and Robotic Process Automation (RPA) environments.
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PM-01: Basic Calculations for Programming
This practical module introduces learners to the mathematical and computational concepts required in programming and automation environments. Learners will develop practical skills in number systems, measurement conversions, mathematical operations, scientific notation, logical calculations, and computational problem solving. The module focuses on applying calculations and numerical reasoning in software development and Robotic Process Automation (RPA) environments. Learners will complete practical activities that strengthen analytical thinking, accuracy, and computational problem-solving skills required in modern digital workplaces.
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PM-02: Basic Programming
This practical module introduces learners to fundamental programming concepts, software toolkits, coding environments, programming paradigms, data types, APIs, functions, logical operations, loops, SQL queries, error handling, and software development processes used in Robotic Process Automation (RPA) environments. Learners will develop practical programming skills by creating coding environments, writing and testing code, working with variables and functions, integrating APIs, handling errors, and developing simple automation solutions using industry-relevant software toolkits and platforms.
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PM-03: Access, Analyse and Visualise Structured Data Using Spreadsheets and Scraping Tools
This practical module focuses on developing the skills required to access, analyse, organise, transform, visualise, and report structured data using spreadsheets, dashboards, pivot tables, databases, and web scraping tools within a Robotic Process Automation (RPA) environment. Learners will work with spreadsheet reporting, dashboards, pivot tables, SQL imports, data models, charts, and web scraping techniques to process and visualise data for business decision-making.
0/12
PM-05: Execute Test Procedures for Evaluating the RPA Solution Performance
This practical module focuses on developing the practical skills required to prepare, execute, evaluate, and improve test procedures for Robotic Process Automation (RPA) solutions. Learners will work with test cases, testing methodologies, simulation tools, workflow evaluations, exception handling, and remedial actions to determine whether an RPA solution passes or fails according to business and technical requirements. Learners will also develop the ability to analyse automation outcomes, identify application and workflow issues, document test evidence, and apply corrective actions to improve automation reliability and performance.
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PM-06: Deploy RPA Solutions Which Emulate Actions of a Human Interacting Within Digital Systems
This practical module focuses on developing the practical skills required to deploy, schedule, monitor, manage, and maintain Robotic Process Automation (RPA) solutions within production environments. Learners will work with unattended and attended robots, deployment procedures, process documentation, auditing dashboards, scheduling systems, and RPA environment management tools. Learners will also develop the ability to schedule automated workflows, deploy bots into production environments, update process documentation, train end-users, monitor runtime activities, and import or export automation solutions between environments.
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PM-07: Modify and Improve Existing RPA Solutions
This practical module focuses on developing the practical skills required to troubleshoot, improve, maintain, and optimise existing Robotic Process Automation (RPA) solutions within operational environments. Learners will work with debugging tools, workflow optimisation techniques, infrastructure changes, software upgrades, regulatory requirements, and process improvement strategies to ensure that automation workflows continue to operate efficiently and reliably. Learners will also develop the ability to investigate alternative solutions, apply continuous improvement techniques, manage changes in technical environments, explore workflow scalability, and update robotic workflows when organisations upgrade RPA software versions.
0/6
PM-08: Function Ethically and Effectively as a Member of a Multidisciplinary Team
This practical module focuses on developing the practical skills required to function ethically, professionally, and collaboratively within multidisciplinary Robotic Process Automation (RPA) environments. Learners will work with business analysts, solution architects, DevOps teams, infrastructure engineers, project managers, business users, and stakeholders throughout the automation life cycle. Learners will also develop the ability to communicate effectively, collaborate across departments, support business process automation initiatives, engage with stakeholders ethically, adapt to organisational policies and infrastructure changes, and contribute to teamwork and business optimisation activities.
0/7
PM-09: Apply Design Thinking Methodologies
This practical module focuses on developing the practical skills required to apply Design Thinking methodologies within problem-solving and innovation environments. Learners will collaborate with multidisciplinary teams to investigate problems, generate innovative ideas, develop prototypes, and test solutions using the Design Thinking process. Learners will also develop the ability to engage in collaborative discussions, participate in innovation workshops, analyse user needs, challenge assumptions, generate creative solutions, and apply the five Design Thinking phases: Empathize, Define, Ideate, Prototype, and Test.
0/3
Occupational Certificate: Robotic Process Automation (RPA) Developer

Lesson Overview

This lesson introduces learners to the costing of products within business and digital environments. Learners will explore input costs, overhead costs, direct labour costs, and pricing concepts used to determine the total cost and selling price of products or services. The lesson also examines the impact of under-pricing and over-pricing on business sustainability, profitability, and customer demand.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain input costs in product costing
  • Describe overhead costs and their impact on business operations
  • Explain direct labour costs
  • Describe how products are priced
  • Explain the effects of under-pricing and over-pricing
  • Calculate basic product costing components

KT0801: Input Cost

Input costs refer to the costs of materials, resources, or components required to produce a product or service.

Input costs are important because they directly affect:

  • Production expenses
  • Pricing decisions
  • Profitability
  • Business sustainability

Examples of Input Costs

Examples include:

Input Cost Example
Raw Materials Plastic, metal, paper
Components Computer parts
Packaging Boxes and labels
Utilities Electricity and water

Businesses must monitor input costs carefully to maintain profitability.


Factors Affecting Input Costs

Input costs may change because of:

  • Supply and demand
  • Inflation
  • Transport costs
  • Availability of resources
  • Currency fluctuations

Increasing input costs may lead to higher product prices.


Importance of Managing Input Costs

Managing input costs helps organisations:

  • Reduce unnecessary expenses
  • Improve profitability
  • Maintain competitive pricing
  • Improve operational efficiency

Businesses often compare suppliers and negotiate prices to reduce input costs.


KT0802: Overhead Costs

Overhead costs are indirect business expenses that support operations but are not directly linked to producing a single product.

These costs are necessary for business operations.


Examples of Overhead Costs

Examples include:

Overhead Cost Example
Rent Office or factory rent
Utilities Electricity and internet
Insurance Business insurance
Administrative Costs Office supplies

Overhead costs must still be paid even if production decreases.


Fixed and Variable Overhead Costs

Fixed Overhead Costs

These costs remain constant regardless of production levels.

Examples:

  • Rent
  • Salaries
  • Insurance

Variable Overhead Costs

These costs change depending on production or business activity.

Examples:

  • Electricity usage
  • Delivery costs

Importance of Overhead Cost Management

Controlling overhead costs helps organisations:

  • Improve efficiency
  • Reduce waste
  • Increase profitability
  • Maintain financial stability

Poor overhead management may reduce business profits.


KT0803: Direct Labour Cost

Direct labour costs refer to wages or salaries paid to employees directly involved in producing goods or delivering services.

These costs contribute directly to product creation.


Examples of Direct Labour

Examples include:

  • Factory workers
  • Technicians
  • Production staff
  • Assembly workers

Labour Cost Calculation

Labour costs may include:

  • Wages
  • Overtime
  • Employee benefits
  • Bonuses

Example:

 
Employee wage = R150 per hour
Hours worked = 40 hours
Direct labour cost = R6000
 

Importance of Managing Labour Costs

Managing labour costs helps organisations:

  • Improve productivity
  • Control expenses
  • Maintain profitability
  • Plan staffing effectively

Automation technologies may also reduce repetitive manual labour costs in some environments.


KT0804: Pricing a Product (Under- or Over-Pricing)

Pricing refers to determining the selling price of a product or service.

Businesses must price products carefully to remain profitable and competitive.


Factors Affecting Pricing

Pricing decisions may depend on:

  • Input costs
  • Labour costs
  • Overhead costs
  • Customer demand
  • Competition
  • Market conditions

Under-Pricing

Under-pricing occurs when products are sold below appropriate value or cost levels.

Risks of Under-Pricing

Under-pricing may result in:

  • Reduced profits
  • Financial losses
  • Poor business sustainability
  • Reduced product value perception

Businesses that under-price products may struggle to cover operational expenses.


Over-Pricing

Over-pricing occurs when products are sold at excessively high prices compared to market expectations.

Risks of Over-Pricing

Over-pricing may result in:

  • Reduced sales
  • Loss of customers
  • Reduced competitiveness
  • Negative customer perception

Customers may choose cheaper alternatives if prices are too high.


Balanced Pricing

Effective pricing balances:

  • Profitability
  • Customer affordability
  • Market competitiveness
  • Business sustainability

Businesses should regularly review pricing strategies according to costs and market conditions.


Product Costing in Business Environments

Businesses use costing information to:

  • Set prices
  • Plan budgets
  • Measure profitability
  • Control expenses
  • Improve financial management

Accurate costing is important because incorrect pricing decisions may negatively affect organisational performance.

Automation systems and digital tools are often used to improve costing calculations and financial reporting accuracy.


Key Notes

  • Input costs include materials and resources required for production.
  • Overhead costs are indirect operational expenses.
  • Direct labour costs involve employees directly involved in production.
  • Pricing decisions affect profitability and competitiveness.
  • Under-pricing may reduce profits and sustainability.
  • Over-pricing may reduce customer demand and sales.
  • Effective cost management supports financial stability and operational efficiency.
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