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.
0/7
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.
0/7
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.
0/13
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.
0/7
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.
0/19
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.
0/15
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.
0/29
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.
0/16
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.
0/15
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.
0/4
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.
0/7
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 Outcomes

After completing this practical lesson, learners will be able to:

  • Perform basic arithmetic operations
  • Apply addition, subtraction, multiplication, and division
  • Solve mathematical calculations used in programming
  • Apply mathematical formulas correctly
  • Use calculations in programming-related scenarios
  • Verify mathematical solutions and calculations

Overview

Basic mathematics is an important foundation for programming, automation, and computational problem solving. Programmers and automation developers regularly perform calculations when processing data, building systems, and developing software applications.

This practical lesson focuses on arithmetic operations and mathematical calculations commonly used in programming and Robotic Process Automation (RPA) environments. Learners will complete practical activities involving addition, subtraction, multiplication, division, formulas, and problem-solving calculations.


Scenario: Programming Calculations for an Automated System

A software development team is creating an automated learner management system that performs calculations such as totals, averages, quantities, and pricing automatically.

Learners are required to complete mathematical calculations and verify results before the system is implemented.


PA0201 — Perform Addition Calculations

Addition is used to combine values in programming and automation systems.

Tools/Resources

  • Calculator
  • IDE or coding environment
  • Notebook

Activity Instructions

  1. Add multiple numerical values together.
  2. Verify the calculations manually.
  3. Record all calculations clearly.
  4. Save completed work.

Example

Problem:

Calculate the total marks:
45 + 32 + 28

Solution:

45 + 32 + 28 = 105


Expected Outcome

Addition calculations are completed accurately.

Evidence Required

  • Screenshot of completed calculations
  • Screenshot of verified answers

PA0202 — Perform Subtraction Calculations

Subtraction is used to determine differences between values.

Tools/Resources

  • Calculator
  • Spreadsheet software
  • Notebook

Activity Instructions

  1. Subtract smaller values from larger values.
  2. Verify all answers.
  3. Record calculations clearly.

Example

Problem:

A system contains 250 records and 45 are removed. Calculate the remaining records.

Solution:

250 − 45 = 205


Expected Outcome

Subtraction calculations are completed correctly.

Evidence Required

  • Screenshot of subtraction calculations
  • Screenshot of completed results

PA0203 — Perform Multiplication Calculations

Multiplication is used to calculate totals, quantities, and repeated values.

Tools/Resources

  • Calculator
  • IDE
  • Notebook

Activity Instructions

  1. Multiply numerical values correctly.
  2. Apply multiplication in practical scenarios.
  3. Verify all calculations.

Example

Problem:

Calculate the total cost for 8 devices costing R150 each.

Solution:

8 × 150 = R1200


Expected Outcome

Multiplication calculations are completed accurately.

Evidence Required

  • Screenshot of multiplication calculations
  • Screenshot of completed results

PA0204 — Perform Division Calculations

Division is used to split values into equal parts or calculate averages and ratios.

Tools/Resources

  • Calculator
  • Spreadsheet software
  • Notebook

Activity Instructions

  1. Divide numerical values correctly.
  2. Solve division problems involving averages.
  3. Verify all calculations.

Example

Problem:

A total of 120 files must be shared equally among 6 folders.

Solution:

120 ÷ 6 = 20


Expected Outcome

Division calculations are completed correctly.

Evidence Required

  • Screenshot of division calculations
  • Screenshot of completed results

PA0205 — Apply Mathematical Formulas

Programming environments often use formulas to automate calculations.

Tools/Resources

  • Calculator
  • Spreadsheet software
  • IDE

Activity Instructions

  1. Apply provided mathematical formulas.
  2. Substitute values correctly.
  3. Verify final answers.

Example

Formula:

Average = Total ÷ Quantity

Problem:

Calculate the average score for 5 learners with a total of 400 marks.

Solution:

400 ÷ 5 = 80


Expected Outcome

Mathematical formulas are applied correctly.

Evidence Required

  • Screenshot of completed formulas
  • Screenshot of verified calculations

PA0206 — Verify Mathematical Solutions

Accurate calculations are important in programming and automation systems.

Tools/Resources

  • Calculator
  • IDE
  • Debugging tools

Activity Instructions

  1. Review completed calculations.
  2. Identify incorrect answers.
  3. Correct all identified errors.
  4. Verify final solutions.

Example

Incorrect Answer:

9 × 7 = 56

Correct Answer:

9 × 7 = 63


Expected Outcome

Calculation errors are identified and corrected successfully.

Evidence Required

  • Screenshot of corrected calculations
  • Written explanation of corrections made

Key Notes

  • Basic mathematics is essential in programming and automation.
  • Addition combines values.
  • Subtraction calculates differences.
  • Multiplication calculates repeated quantities.
  • Division splits values into equal parts.
  • Mathematical formulas automate calculations.
  • Verifying calculations improves accuracy and reduces errors.
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