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:

  • Explain operator precedence in programming calculations
  • Apply mathematical operators correctly
  • Solve expressions using correct operator order
  • Differentiate between operators with different precedence levels
  • Use brackets to control calculation order
  • Verify programming-related calculations accurately

Overview

Operator precedence determines the order in which mathematical and logical operations are performed in programming and computational calculations. In programming environments, calculations must follow the correct sequence to ensure accurate results.

This practical lesson introduces learners to operator precedence and the correct order of operations used in programming and automation environments. Learners will complete practical activities involving arithmetic expressions, brackets, multiplication, division, addition, and subtraction using the correct calculation order.


Scenario: Programming Calculation Errors

A software developer is creating a payroll calculation system. Incorrect operator precedence causes calculation errors in employee salaries and deductions.

Learners are required to analyse mathematical expressions, apply correct operator precedence, and verify programming calculations to ensure accurate outputs.


PA0301 — Identify Operator Precedence

Programming calculations use different operators with different levels of precedence.

Tools/Resources

  • Calculator
  • IDE or coding environment
  • Notebook

Activity Instructions

  1. Identify operators in provided expressions.
  2. Determine which operations execute first.
  3. Record the order of execution clearly.
  4. Verify answers manually.

Example

Expression:

5 + 3 × 2

Correct Order:

  1. Multiply: 3 × 2 = 6
  2. Add: 5 + 6 = 11

Final Answer:

11


Expected Outcome

Operators are identified correctly and the correct calculation order is applied.

Evidence Required

  • Screenshot of completed expressions
  • Written explanation of operator order

PA0302 — Apply Multiplication and Division Precedence

Multiplication and division are evaluated before addition and subtraction.

Tools/Resources

  • Calculator
  • IDE
  • Spreadsheet software

Activity Instructions

  1. Solve expressions containing multiplication and division.
  2. Apply the correct operator order.
  3. Verify calculations step-by-step.

Example

Expression:

20 ÷ 4 × 2

Solution:

  1. 20 ÷ 4 = 5
  2. 5 × 2 = 10

Final Answer:

10


Expected Outcome

Expressions involving multiplication and division are solved correctly.

Evidence Required

  • Screenshot of solved calculations
  • Screenshot of verified answers

PA0303 — Apply Addition and Subtraction Correctly

Addition and subtraction are performed after multiplication and division unless brackets are used.

Tools/Resources

  • Calculator
  • Notebook
  • IDE

Activity Instructions

  1. Solve expressions involving addition and subtraction.
  2. Follow correct operator precedence rules.
  3. Verify all calculations.

Example

Expression:

18 − 4 + 6

Solution:

  1. 18 − 4 = 14
  2. 14 + 6 = 20

Final Answer:

20


Expected Outcome

Addition and subtraction expressions are solved correctly.

Evidence Required

  • Screenshot of calculations
  • Screenshot of completed results

PA0304 — Use Brackets to Control Precedence

Brackets are used to force certain calculations to occur first.

Tools/Resources

  • Calculator
  • IDE
  • Notebook

Activity Instructions

  1. Solve expressions containing brackets.
  2. Complete calculations inside brackets first.
  3. Verify all answers.

Example

Expression:

(5 + 3) × 2

Solution:

  1. 5 + 3 = 8
  2. 8 × 2 = 16

Final Answer:

16


Expected Outcome

Bracketed expressions are solved using the correct order of operations.

Evidence Required

  • Screenshot of bracket calculations
  • Written explanation of steps followed

PA0305 — Compare Different Operator Orders

Changing operator order changes programming outputs.

Tools/Resources

  • Calculator
  • IDE
  • Spreadsheet software

Activity Instructions

  1. Compare expressions with and without brackets.
  2. Observe differences in results.
  3. Record all outputs clearly.

Example

Expression 1:

5 + 3 × 2 = 11

Expression 2:

(5 + 3) × 2 = 16

Observation:

Brackets change the calculation order and final result.


Expected Outcome

Differences in operator precedence are identified correctly.

Evidence Required

  • Screenshot of compared calculations
  • Screenshot of completed observations

PA0306 — Verify and Correct Operator Errors

Programming calculations must be checked for precedence-related errors.

Tools/Resources

  • Calculator
  • IDE
  • Debugging tools

Activity Instructions

  1. Review provided expressions.
  2. Identify incorrect calculations.
  3. Correct operator precedence mistakes.
  4. Verify corrected answers.

Example

Incorrect Answer:

5 + 3 × 2 = 16

Correct Answer:

5 + 3 × 2 = 11


Expected Outcome

Operator precedence errors are identified and corrected successfully.

Evidence Required

  • Screenshot of corrected calculations
  • Written explanation of corrections

Key Notes

  • Operator precedence controls the order of calculations.
  • Multiplication and division occur before addition and subtraction.
  • Brackets force calculations to occur first.
  • Incorrect precedence produces incorrect programming outputs.
  • Verifying calculations improves programming accuracy.
  • Correct operator usage is essential in software development and automation systems.
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