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.
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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.
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.
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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:

  • Explain integer division in programming
  • Differentiate between normal division and integer division
  • Perform integer division calculations
  • Apply integer division in programming scenarios
  • Interpret quotient values correctly
  • Verify and correct integer division calculations

Overview

Integer division is commonly used in programming and automation systems where whole-number results are required. Unlike normal division, integer division removes the remainder and returns only the whole-number quotient.

This practical lesson introduces learners to integer division and its use in programming and computational calculations. Learners will complete practical activities involving integer division operations, comparisons with normal division, and practical problem-solving scenarios used in software development and Robotic Process Automation (RPA) environments.


Scenario: Learner Group Allocation System

A developer is creating an automated learner allocation system that distributes learners into classroom groups. The system uses integer division to determine how many full groups can be created from the total number of learners.

Learners are required to perform integer division calculations and verify the results used by the system.


PA0401 — Perform Integer Division Calculations

Integer division returns only whole-number values.

Tools/Resources

  • Calculator
  • IDE or coding environment
  • Notebook

Activity Instructions

  1. Perform integer division calculations.
  2. Record the quotient values.
  3. Ignore remainders during calculations.
  4. Verify all answers manually.

Example

Problem:

17 ÷ 5 using integer division

Solution:

17 ÷ 5 = 3 remainder 2

Integer Division Result:

3


Expected Outcome

Integer division calculations are completed correctly using whole-number results only.

Evidence Required

  • Screenshot of integer division calculations
  • Screenshot of verified results

PA0402 — Differentiate Between Normal Division and Integer Division

Programming systems may use either normal division or integer division depending on requirements.

Tools/Resources

  • Calculator
  • IDE
  • Spreadsheet software

Activity Instructions

  1. Solve calculations using normal division.
  2. Solve the same calculations using integer division.
  3. Compare the results.
  4. Record observations clearly.

Example

Normal Division:

17 ÷ 5 = 3.4

Integer Division:

17 ÷ 5 = 3

Observation:

Integer division removes the decimal value and remainder.


Expected Outcome

Differences between normal division and integer division are identified correctly.

Evidence Required

  • Screenshot of the compared calculations
  • Written explanation of observed differences

PA0403 — Apply Integer Division in Programming Scenarios

Integer division is often used in automation and programming systems.

Tools/Resources

  • IDE or coding environment
  • Calculator
  • Notebook

Activity Instructions

  1. Solve practical programming-related problems using integer division.
  2. Record the quotient values.
  3. Verify all calculations.

Example

Problem:

A system must place 28 learners into groups of 6.

Solution:

28 ÷ 6 = 4 remainder 4

Integer Division Result:

4 full groups


Expected Outcome

Integer division is applied correctly in practical scenarios.

Evidence Required

  • Screenshot of completed calculations
  • Screenshot of programming logic or pseudocode

PA0404 — Interpret Quotient Values Correctly

Programming calculations require the correct interpretation of integer division results.

Tools/Resources

  • Calculator
  • IDE
  • Notebook

Activity Instructions

  1. Solve integer division problems.
  2. Interpret the quotient values correctly.
  3. Explain the meaning of the results.

Example

Problem:

45 files must be stored equally in folders containing 8 files each.

Solution:

45 ÷ 8 = 5 remainder 5

Interpretation:

5 full folders can be created.


Expected Outcome

Quotient values are interpreted correctly in practical scenarios.

Evidence Required

  • Screenshot of interpreted results
  • Written explanation of quotient’s meaning

PA0405 — Verify and Correct Integer Division Errors

Integer division calculations must be checked carefully to avoid programming errors.

Tools/Resources

  • Calculator
  • IDE
  • Debugging tools

Activity Instructions

  1. Review provided integer division calculations.
  2. Identify incorrect answers.
  3. Correctly identify mistakes.
  4. Verify corrected solutions.

Example

Incorrect Answer:

19 ÷ 4 = 4.75 using integer division

Correct Answer:

19 ÷ 4 = 4


Expected Outcome

Integer division errors are identified and corrected successfully.

Evidence Required

  • Screenshot of corrected calculations
  • Written explanation of corrections made

Key Notes

  • Integer division returns whole-number results only.
  • Remainders and decimals are ignored in integer division.
  • Integer division differs from normal division.
  • Integer division is commonly used in programming and automation systems.
  • Quotient values must be interpreted correctly.
  • Verifying calculations reduces programming errors.
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