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.
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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.
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.
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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.
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 Overview

This lesson introduces learners to ethics and security principles within digital and Robotic Process Automation (RPA) environments. Learners will explore ethical principles, security practices, concepts, definitions, and terminology commonly used in information security and automation environments. The lesson also examines responsible behaviour, protection of information, confidentiality, integrity, and security awareness within modern digital workplaces.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain principles and practices related to ethics and security
  • Define important ethics and security concepts
  • Describe common security terminology used in digital environments
  • Explain the importance of confidentiality, integrity, and availability
  • Describe responsible and ethical behaviour in automation environments
  • Explain basic information security practices

KT0301: Principles and Practices

Ethics and security are important in modern digital and automation environments because organisations rely heavily on information systems, digital processes, and automation technologies.

Ethical and secure practices help organisations:

  • Protect information
  • Maintain trust
  • Reduce risks
  • Improve compliance
  • Support responsible technology use

Security practices are designed to protect information systems, users, and digital resources from threats and unauthorised access.


Ethical Principles

Ethical principles guide responsible behaviour in digital environments.

Important ethical principles include:

Principle Description
Integrity Acting honestly and responsibly
Accountability Taking responsibility for actions
Confidentiality Protecting sensitive information
Respect Treating others fairly
Compliance Following laws and policies

Ethical behaviour is important because automation systems may process sensitive information and support important business operations.


Security Practices

Security practices are activities used to protect systems and information.

Examples include:

  • Using strong passwords
  • Protecting confidential information
  • Applying access controls
  • Following security policies
  • Reporting suspicious activity
  • Using secure systems

Good security practices reduce the risk of:

  • Data breaches
  • Unauthorised access
  • Malware attacks
  • Information loss

Responsible Behaviour in Digital Environments

Employees and automation users should demonstrate responsible behaviour when using digital systems.

Responsible behaviour includes:

  • Protecting passwords
  • Following organisational policies
  • Respecting privacy
  • Avoiding misuse of systems
  • Reporting security incidents

Poor behaviour may create operational and security risks.


Importance of Security Awareness

Security awareness refers to understanding threats, risks, and safe practices in digital environments.

Security awareness helps users:

  • Recognise threats
  • Avoid unsafe behaviour
  • Protect information
  • Reduce human error

Organisations often provide training to improve employee awareness of cybersecurity and ethical practices.


KT0302: Concepts, Definitions and Terminology

Understanding security concepts and terminology is important in automation and digital environments.

These concepts help organisations communicate and manage security effectively.


Information Security

Information security refers to protecting information from unauthorised access, use, disclosure, disruption, modification, or destruction.

The purpose of information security is to ensure that information remains:

  • Confidential
  • Accurate
  • Available

Confidentiality

Confidentiality means protecting sensitive information from unauthorised access.

Only authorised users should access confidential information.

Examples include:

  • Customer records
  • Passwords
  • Financial data
  • Employee information

Integrity

Integrity refers to maintaining the accuracy and reliability of information.

Information should not be changed improperly or corrupted.

Examples of integrity risks include:

  • Incorrect data changes
  • Malware corruption
  • Unauthorised editing

Availability

Availability means information and systems should be accessible when needed.

Systems should remain operational and reliable.

Examples of threats to availability include:

  • System failures
  • Cyberattacks
  • Power outages

Authentication

Authentication is the process of verifying a user’s identity.

Common authentication methods include:

  • Passwords
  • PINs
  • Biometrics
  • Verification codes

Authentication helps prevent unauthorised access.


Authorisation

Authorisation determines what actions or resources a user is allowed to access.

Example:
An employee may have permission to view reports but not modify security settings.


Access Control

Access control limits access to systems, applications, and information.

Access controls improve:

  • Security
  • Accountability
  • Privacy protection

Threat

A threat is anything that may cause harm to systems or information.

Examples include:

  • Malware
  • Hackers
  • Human error
  • Unauthorised access

Vulnerability

A vulnerability is a weakness that may be exploited by threats.

Examples include:

  • Weak passwords
  • Outdated software
  • Poor security configuration

Risk

Risk refers to the possibility of harm occurring because of threats and vulnerabilities.

Risk management helps organisations reduce security risks.


Malware

Malware is malicious software designed to damage systems or steal information.

Examples include:

Malware Type Description
Virus Infects files and systems
Worm Spreads automatically
Trojan Disguised malicious software
Ransomware Blocks access to information

Cybersecurity

Cybersecurity refers to protecting systems, networks, and digital information from cyber threats.

Cybersecurity includes:

  • Network security
  • Data protection
  • Monitoring
  • Threat detection
  • Incident response

Security Incident

A security incident is an event that affects the confidentiality, integrity, or availability of information.

Examples include:

  • Data breaches
  • Malware infections
  • Unauthorised access
  • System compromise

Organisations should respond to incidents quickly to reduce damage.


Ethics and Security in Automation Environments

RPA systems often interact with sensitive information and business systems.

For this reason, organisations must ensure that:

  • Automation workflows remain secure
  • Information is protected
  • Users behave responsibly
  • Policies are followed
  • Risks are managed properly

Ethics and security support trust, operational reliability, and responsible technology use.


Key Notes

  • Ethics guides responsible behaviour in digital environments.
  • Security practices help protect systems and information.
  • Confidentiality protects sensitive information from unauthorised access.
  • Integrity maintains information accuracy and reliability.
  • Availability ensures systems remain accessible when needed.
  • Authentication verifies user identity.
  • Authorisation controls user permissions.
  • Threats and vulnerabilities create security risks.
  • Malware may damage systems or steal information.
  • Cybersecurity protects digital systems and data from attacks.
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