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.
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.
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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.
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.
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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.
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 Overview

This lesson introduces learners to variables and arguments used in Robotic Process Automation (RPA) tools and automation workflows. Learners will explore variable types, variable scope, arguments, argument directions, variables panels, and the differences between variables and arguments within automation environments. The lesson also examines how variables and arguments help workflows store, transfer, and process information during automation execution.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Define variables and explain their role in RPA workflows
  • Identify different variable types
  • Explain the purpose of the variables panel
  • Describe the scope of variables
  • Define arguments and explain their purpose
  • Explain argument directions
  • Differentiate between variables and arguments in automation processes

KT0101: Variables and Variable Types

A variable is a storage location that holds information that may change during the execution of a workflow or automation process.

Variables are important because automation workflows need to store information while tasks are being performed temporarily.

Examples of information stored in variables include:

  • Customer names
  • Invoice numbers
  • Dates
  • Email addresses
  • Totals and calculations
  • Status values

The learner guide explains that variables are characteristics that can assume different values and may be classified as categorical and numeric variables.

Variables allow bots and workflows to process information dynamically instead of using fixed values.


Types of Variables

Variables may be grouped into different types depending on the information they store.

String Variables

String variables store text values.

Examples:

  • Customer names
  • Email addresses
  • Messages

Example:

</>     Python
customer_name = "Sarah"
 

Integer Variables

Integer variables store whole numbers.

Examples:

  • Quantity values
  • Number of invoices
  • Employee counts

Example:

</>     Python
invoice_total = 25
 

Boolean Variables

Boolean variables store only two possible values:

  • True
  • False

Boolean variables are often used in decision-making.

Example:

</>     Python
is_approved = True
 

Decimal or Double Variables

These variables store numbers containing decimal values.

Example:

</>     Python
price = 1250.75
 

DateTime Variables

DateTime variables store dates and time values.

Examples:

  • Invoice dates
  • Login times
  • Scheduling information

Categorical and Numeric Variables

The learner guide also explains that variables may be classified as:

Categorical Variables

Categorical variables represent labels or categories rather than numerical measurements.

Examples include:

  • Gender
  • Country
  • Department
  • Transport method

Categorical variables may be:

Type Description
Nominal No natural order
Ordinal Categories with order

Numeric Variables

Numeric variables store measurable numerical values.

Numeric variables may be:

Type Description
Discrete Whole number values
Continuous Decimal values

Understanding variable types is important because workflows and automation activities require correct data handling.


KT0102: Variables Panel

The Variables Panel is a section within an RPA toolkit or automation platform where variables are created, viewed, edited, and managed.

The Variables Panel allows developers to:

  • Create variables
  • Rename variables
  • Assign data types
  • Set default values
  • Define variable scope
  • Monitor workflow data

In workflow development environments, the Variables Panel helps organise information used during automation execution.

Typical information displayed in a Variables Panel includes:

Field Purpose
Variable Name Identifies the variable
Variable Type Defines stored data
Scope Determines where the variable can be used
Default Value Initial stored value

Proper variable management improves:

  • Workflow organisation
  • Readability
  • Debugging
  • Automation reliability

KT0103: Scope of Variable

Variable scope refers to where a variable can be accessed and used within a workflow.

Scope is important because not all variables should be available everywhere in an automation process.

Correct scope management improves:

  • Workflow performance
  • Security
  • Organisation
  • Error reduction

Local Scope

A locally scoped variable can only be used within a specific activity or workflow section.

Example:
A variable created inside a loop may only work within that loop.


Global Scope

A globally scoped variable can be accessed throughout the workflow or project.

Global variables are useful when multiple workflow sections require the same information.


Importance of Variable Scope

Proper scope management helps prevent:

  • Variable conflicts
  • Incorrect data usage
  • Memory inefficiencies
  • Workflow confusion

Automation developers should use the smallest scope necessary for a variable.


KT0104: Arguments

Arguments are used to pass information between workflows, activities, or automation processes.

While variables store information inside a workflow, arguments transfer information between workflow components.

Arguments are important because large automation projects often contain multiple workflows working together.

Arguments may transfer:

  • Customer details
  • Invoice information
  • File paths
  • Status values
  • Calculation results

Example:
A login workflow may pass username information to another workflow using arguments.

Arguments improve:

  • Workflow communication
  • Modularity
  • Reusability
  • Process organisation

KT0105: Arguments Panel

The Arguments Panel is the section of an automation platform where arguments are created and managed.

The Arguments Panel allows developers to:

  • Create arguments
  • Set argument directions
  • Assign data types
  • Transfer information between workflows
  • Configure workflow communication

Typical information displayed in an Arguments Panel includes:

Field Purpose
Argument Name Identifies the argument
Direction Defines information flow
Type Defines data format

The Arguments Panel supports structured workflow communication and integration.


KT0106: Argument Directions

Argument directions define how information moves between workflows.

There are commonly three argument directions used in RPA platforms.


In Arguments

In arguments pass information into a workflow.

Example:
A customer ID is passed into a workflow for processing.


Out Arguments

Out arguments return information from a workflow.

Example:
A workflow returns a generated invoice number.


In/Out Arguments

In/Out arguments allow information to move both into and out of a workflow.

These arguments are useful when workflows both receive and update information.


Importance of Argument Directions

Correct argument direction improves:

  • Workflow communication
  • Data flow
  • Process organisation
  • Automation accuracy

Incorrect argument configuration may result in missing or incorrect workflow data.


KT0107: Argument vs Variable

Although variables and arguments both handle data, they serve different purposes in automation workflows.

Variables Arguments
Store data within workflows Transfer data between workflows
Used internally Used for workflow communication
Limited by scope Move data across workflow boundaries
Temporary workflow storage Workflow integration mechanism

Example of Variables

A workflow stores a customer name temporarily while processing an invoice.


Example of Arguments

One workflow sends customer details to another workflow for validation.


Importance of Understanding the Difference

Understanding variables and arguments is important because automation developers must know:

  • Where information should be stored
  • How workflows communicate
  • How data moves through automation processes

Correct use of variables and arguments improves workflow efficiency, reliability, and maintainability.


Variables and Arguments in RPA Environments

In RPA environments, variables and arguments are essential because workflows constantly process information.

Bots may use variables and arguments to:

  • Store transaction information
  • Transfer customer details
  • Manage workflow states
  • Process files
  • Pass information between automation modules

Without variables and arguments, automation workflows would not be able to handle dynamic business information effectively.


Key Notes

  • Variables store information during workflow execution.
  • Common variable types include string, integer, Boolean, decimal, and DateTime.
  • Variables may also be categorical or numeric.
  • The Variables Panel is used to create and manage variables.
  • Variable scope controls where variables can be used.
  • Arguments transfer information between workflows.
  • The Arguments Panel manages workflow arguments.
  • Argument directions include In, Out, and In/Out.
  • Variables store data internally, while arguments move data between workflows.
  • Correct use of variables and arguments improves workflow organisation and automation reliability.
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