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 variables and constants in programming
  • Create and initialise variables
  • Declare and use constants
  • Apply different data types
  • Modify variable values during program execution
  • Verify and correct variable-related errors

Overview

Variables and constants are fundamental programming components used to store and manage data during program execution. Variables store values that may change while constants store fixed values that remain unchanged during program operation.

This practical lesson introduces learners to variables, constants, data types, assignment operations, and value manipulation used in programming and Robotic Process Automation (RPA) environments. Learners will complete practical coding activities involving variable declaration, data storage, calculations, and debugging.


Scenario: Learner Registration System

A software development company is building a learner registration system that stores learner names, IDs, fees, and registration information.

The system requires variables to store changing information and constants to store fixed values such as VAT percentages and registration fees.

Learners are required to create and manage variables and constants used in the system.


PA0401 — Create and Initialise Variables

Variables are used to store changing information during program execution.

Tools/Resources

  • IDE or coding environment
  • PC or laptop
  • Programming documentation

Activity Instructions

  1. Create variables with appropriate names.
  2. Assign values to the variables.
  3. Display variable values.
  4. Verify outputs.

Example

</>      Python
learner_name = "John"
learner_age = 21

print(learner_name)
print(learner_age)
 

Expected Outcome

Variables are created and initialised correctly.

Evidence Required

  • Screenshot of variable declarations
  • Screenshot of displayed outputs

PA0402 — Apply Different Data Types

Variables may store different types of data.

Tools/Resources

  • IDE
  • Notebook
  • Programming reference material

Activity Instructions

  1. Create variables using different data types.
  2. Assign suitable values to each variable.
  3. Display the stored values.
  4. Verify outputs.

Example

</>      Python
name = "Sarah"       # String
age = 25 # Integer
height = 1.75 # Float
registered = True # Boolean
 

Expected Outcome

Different data types are applied correctly.

Evidence Required

  • Screenshot of variable data types
  • Screenshot of outputs

PA0403 — Create and Use Constants

Constants store values that should not change during program execution.

Tools/Resources

  • IDE
  • Programming documentation
  • Notebook

Activity Instructions

  1. Create constant values.
  2. Use constants in calculations.
  3. Display the outputs.
  4. Verify all results.

Example

</>      Python
VAT_RATE = 15

amount = 200
vat = amount * VAT_RATE / 100

print(vat)
 

Expected Outcome

Constants are created and used correctly.

Evidence Required

  • Screenshot of constant declarations
  • Screenshot of calculations using constants

PA0404 — Modify Variable Values

Variables may change during program execution.

Tools/Resources

  • IDE
  • Calculator
  • Notebook

Activity Instructions

  1. Create variables with initial values.
  2. Modify the values during execution.
  3. Display updated values.
  4. Verify outputs.

Example

</>      Python
count = 5

count = count + 1

print(count)
 

Output

 
6
 

Expected Outcome

Variable values are updated successfully during execution.

Evidence Required

  • Screenshot of updated variables
  • Screenshot of outputs

PA0405 — Perform Calculations Using Variables

Variables are commonly used in programming calculations.

Tools/Resources

  • IDE
  • Calculator
  • Notebook

Activity Instructions

  1. Create numerical variables.
  2. Perform arithmetic calculations.
  3. Store calculation results in variables.
  4. Display the outputs.

Example

</>      Python
price = 250
quantity = 3

total = price * quantity

print(total)
 

Output

 
750
 

Expected Outcome

Calculations using variables are completed correctly.

Evidence Required

  • Screenshot of calculation code
  • Screenshot of outputs

PA0406 — Identify and Correct Variable Errors

Incorrect variable usage may cause program errors.

Tools/Resources

  • IDE
  • Debugging tools
  • Error logs

Activity Instructions

  1. Review provided code.
  2. Identify variable-related errors.
  3. Correct the errors.
  4. Execute the corrected program.

Example

Incorrect Code

</>      Python
price = 100

print(total)
 

Correct Code

</>      Python
price = 100
total = price

print(total)
 

Expected Outcome

Variable-related errors are identified and corrected successfully.

Evidence Required

  • Screenshot of incorrect code
  • Screenshot of corrected code
  • Screenshot of successful execution

Key Notes

  • Variables store changing information.
  • Constants store fixed values.
  • Different data types store different kinds of information.
  • Variables may change during execution.
  • Clear variable naming improves program readability.
  • Incorrect variable usage may cause program errors.
  • Debugging improves program reliability.
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