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.
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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.
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 Overview

This lesson introduces learners to ethical behaviour, privacy protection, and responsible technology use within digital environments. Learners will explore ethical computing practices, data privacy, intellectual property, cyber ethics, responsible online behaviour, and legal considerations related to digital systems and information technologies.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain ethics in digital and computing environments
  • Describe the importance of data privacy
  • Identify responsible online behaviour practices
  • Explain intellectual property concepts
  • Describe cyber ethics and digital responsibility
  • Identify legal and ethical risks in technology environments

KT0801: Introduction to Digital Ethics

Digital ethics refers to the moral principles and standards that guide responsible behaviour when using technology and digital systems.

Ethical behaviour is important because technology affects:

  • People
  • Organisations
  • Privacy
  • Security
  • Communication
  • Business operations

Digital ethics helps ensure that technology is used:

  • Responsibly
  • Fairly
  • Legally
  • Respectfully

Examples of Ethical Behaviour

  • Respecting user privacy
  • Protecting confidential information
  • Using software legally
  • Avoiding cyberbullying
  • Reporting security risks responsibly
  • Using technology honestly

Importance of Ethics in Technology

Unethical behaviour may result in:

  • Data breaches
  • Fraud
  • Identity theft
  • Financial losses
  • Legal consequences
  • Reputation damage

Technology professionals must follow ethical standards to maintain trust and security.


KT0802: Data Privacy

Data privacy refers to protecting personal and sensitive information from unauthorised access or misuse.

Personal information may include:

  • Names
  • Addresses
  • Phone numbers
  • Financial records
  • Medical information
  • Login credentials

Importance of Data Privacy

Protecting privacy helps:

  • Prevent identity theft
  • Protect sensitive information
  • Maintain customer trust
  • Ensure legal compliance

Privacy Risks

Privacy risks may include:

  • Data leaks
  • Hacking
  • Phishing
  • Unauthorised sharing
  • Weak passwords

Privacy Protection Measures

Strong Passwords

Use complex passwords for accounts.

Multi-Factor Authentication (MFA)

Adds additional security verification.

Encryption

Protects information during storage and transmission.

Access Controls

Limits who can view or use information.


Data Protection Laws

Many countries have laws protecting personal information.

Organisations must comply with regulations related to:

  • Data collection
  • Data storage
  • Information sharing
  • User consent

KT0803: Intellectual Property

Intellectual Property (IP) refers to creations of the mind protected by law.

Examples include:

  • Software
  • Music
  • Videos
  • Books
  • Designs
  • Logos

Types of Intellectual Property

Copyright

Protects original creative works.

Patents

Protect inventions and innovations.

Trademarks

Protect brand names and logos.


Software Licensing

Software licenses determine how software may be used.

Examples include:

  • Commercial software
  • Open-source software
  • Freeware
  • Subscription software

Importance of Respecting Intellectual Property

Using copyrighted material illegally may result in:

  • Legal penalties
  • Financial losses
  • Ethical violations

Technology users should:

  • Use licensed software
  • Credit creators appropriately
  • Respect ownership rights

KT0804: Cyber Ethics

Cyber ethics refers to responsible behaviour when using digital systems, networks, and online platforms.

Cyber ethics encourages:

  • Respectful communication
  • Responsible internet use
  • Honest online behaviour
  • Safe digital practices

Examples of Unethical Online Behaviour

  • Cyberbullying
  • Hacking
  • Spreading malware
  • Online harassment
  • Software piracy
  • Identity theft

Responsible Online Behaviour

Users should:

  • Protect personal information
  • Avoid suspicious websites
  • Communicate respectfully
  • Verify online information
  • Report harmful activities

KT0805: Responsible Use of Technology

Technology should be used in ways that benefit individuals and society.

Responsible technology use includes:

  • Following organisational policies
  • Respecting privacy
  • Protecting sensitive data
  • Using systems legally
  • Avoiding harmful activities

Workplace Responsibilities

Employees using digital systems should:

  • Follow security policies
  • Protect passwords
  • Report incidents
  • Use resources appropriately

Social Responsibility

Technology users should consider how digital actions affect:

  • Individuals
  • Communities
  • Organisations
  • Society

KT0806: Legal and Ethical Risks in Digital Environments

Improper use of technology may create both legal and ethical risks.


Legal Risks

Examples include:

  • Data breaches
  • Copyright infringement
  • Fraud
  • Unauthorised access
  • Privacy violations

Ethical Risks

Examples include:

  • Misuse of personal information
  • Manipulation of digital content
  • Bias in AI systems
  • Unethical surveillance

Consequences of Unethical Behaviour

Possible consequences include:

  • Legal action
  • Financial penalties
  • Reputation damage
  • Loss of employment
  • Security breaches

KT0807: Digital Citizenship

Digital citizenship refers to responsible participation within digital environments.

Good digital citizens:

  • Use technology responsibly
  • Respect others online
  • Follow laws and regulations
  • Protect digital identities
  • Promote positive online behaviour

Characteristics of Good Digital Citizens

  • Respectful communication
  • Responsible social media use
  • Privacy awareness
  • Cybersecurity awareness
  • Ethical decision-making

Importance of Digital Citizenship

Strong digital citizenship helps create:

  • Safer online communities
  • Better communication
  • More secure digital environments
  • Responsible technology cultures

Importance of Ethics and Digital Responsibility

Modern organisations rely heavily on technology and digital information.

Ethics and digital responsibility help:

  • Protect users
  • Improve security
  • Maintain trust
  • Reduce cyber risks
  • Support legal compliance

Understanding ethical and responsible technology use helps learners:

  • Operate professionally
  • Protect digital systems
  • Make responsible decisions
  • Participate safely in digital environments

Ethics and privacy are essential components of modern computing, cybersecurity, automation, and digital transformation.

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