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.
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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.
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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.
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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.
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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.
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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.
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Occupational Certificate: Robotic Process Automation (RPA) Developer

Lesson Overview

This lesson introduces learners to security concepts within digital and Robotic Process Automation (RPA) environments. Learners will explore risks, threats, vulnerabilities, mitigation strategies, digital forensics, cloud computing, commercial law, cybersecurity, and emerging security trends. The lesson also examines how organisations protect systems, information, and digital operations from cyber threats and security incidents.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain risks, threats, and vulnerabilities in digital environments
  • Describe mitigation tools and security strategies
  • Explain the purpose of digital forensics
  • Describe cloud computing and cloud security concepts
  • Explain the role of commercial law in digital environments
  • Describe cybersecurity principles and practices
  • Explain new trends affecting digital security

KT0501: Risks, Threats and Vulnerabilities

Digital environments face many security risks that may affect systems, information, and business operations.


Risk

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

Examples of risks include:

  • Data breaches
  • Financial loss
  • Operational disruption
  • Loss of confidential information

Threat

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

Examples include:

  • Hackers
  • Malware
  • Human error
  • Unauthorised access
  • System failure

Vulnerability

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

Examples include:

Vulnerability Example
Weak Passwords Easy-to-guess credentials
Outdated Software Missing security updates
Poor Access Control Excessive permissions
Human Error Sharing confidential information

Threats often target vulnerabilities to compromise systems and information.


Impact of Risks and Threats

Security risks may result in:

  • Information theft
  • Service interruption
  • Reputation damage
  • Financial losses
  • Compliance violations

Organisations must identify and manage risks to protect digital environments.


KT0502: Mitigation Tools and Strategies

Mitigation refers to actions used to reduce or control risks and security threats.

Security mitigation strategies help protect systems, networks, and information.


Mitigation Tools

Common security tools include:

Tool Purpose
Antivirus Software Detects malware
Firewalls Protect networks
Encryption Secures information
Backup Systems Protect data
Access Controls Restrict system access

Mitigation Strategies

Important strategies include:

  • Strong password policies
  • Security awareness training
  • Regular software updates
  • Multi-factor authentication
  • Monitoring and logging
  • Incident response planning

Importance of Mitigation

Mitigation strategies help organisations:

  • Reduce vulnerabilities
  • Improve security
  • Prevent attacks
  • Support business continuity

Security requires both technical controls and responsible user behaviour.


KT0503: Digital Forensics

Digital forensics is the process of identifying, collecting, analysing, and preserving digital evidence.

Digital forensics is important during:

  • Cybercrime investigations
  • Security incidents
  • Data breaches
  • Fraud investigations

Purpose of Digital Forensics

Digital forensics helps organisations:

  • Investigate incidents
  • Identify attackers
  • Recover evidence
  • Support legal proceedings
  • Understand security failures

Examples of Digital Evidence

Digital evidence may include:

  • Emails
  • Log files
  • System records
  • Device data
  • Network activity

Digital evidence must be handled carefully to preserve integrity and accuracy.


KT0504: Cloud

Cloud computing refers to delivering computing services over the internet.

Cloud services may include:

  • Storage
  • Applications
  • Databases
  • Processing power
  • Backup systems

Advantages of Cloud Computing

Advantage Description
Scalability Resources can expand easily
Accessibility Access from multiple locations
Cost Efficiency Reduced infrastructure costs
Flexibility Supports remote access

Cloud Security

Cloud environments must still be protected against:

  • Unauthorised access
  • Data breaches
  • Service interruptions
  • Misconfiguration

Cloud security measures may include:

  • Encryption
  • Access controls
  • Monitoring
  • Backup procedures

Organisations remain responsible for protecting information stored in the cloud.


KT0505: Commercial Law

Commercial law governs business activities and transactions.

In digital and automation environments, commercial law may apply to:

  • Contracts
  • Licensing agreements
  • Electronic transactions
  • Intellectual property
  • Service agreements

Importance of Commercial Law

Commercial law helps organisations:

  • Protect legal rights
  • Define responsibilities
  • Resolve disputes
  • Ensure fair business practices

Organisations must ensure that digital activities comply with legal requirements and contractual obligations.


KT0506: Cyber Security

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

Cybersecurity focuses on:

  • Confidentiality
  • Integrity
  • Availability

Cybersecurity Threats

Examples include:

  • Malware
  • Phishing
  • Ransomware
  • Hacking
  • Denial-of-service attacks

Cybersecurity Practices

Good cybersecurity practices include:

  • Strong authentication
  • Monitoring systems
  • Updating software
  • Training users
  • Securing networks
  • Managing incidents

Cybersecurity is important because modern organisations rely heavily on digital systems and automation technologies.


KT0507: New Trends

Technology and security environments continue evolving rapidly.

New trends influencing digital security include:

  • Artificial Intelligence (AI)
  • Cloud security advancements
  • Remote work technologies
  • Intelligent automation
  • Increased cybersecurity awareness
  • Zero-trust security models

Artificial Intelligence in Security

AI technologies may help organisations:

  • Detect threats
  • Analyse large datasets
  • Improve monitoring
  • Identify suspicious behaviour

Remote and Hybrid Work

Modern workplaces increasingly support remote work environments.

This creates new security considerations related to:

  • Device security
  • Network protection
  • Remote access
  • Cloud services

Growing Importance of Cybersecurity

As organisations become more digital, cybersecurity continues becoming more important for:

  • Business continuity
  • Information protection
  • Customer trust
  • Compliance
  • Operational stability

Organisations must continuously adapt to changing security threats and technologies.


Security in Modern Digital Environments

Modern organisations depend on secure digital systems to support business operations.

Security helps organisations:

  • Protect information
  • Reduce operational risks
  • Maintain trust
  • Support compliance
  • Ensure reliable services

Strong security practices are essential in environments using automation, cloud services, and digital technologies.


Key Notes

  • Risks represent the possibility of harm from threats and vulnerabilities.
  • Threats may damage systems, information, or operations.
  • Vulnerabilities are weaknesses that may be exploited.
  • Mitigation tools and strategies reduce security risks.
  • Digital forensics investigates and preserves digital evidence.
  • Cloud computing provides services over the internet.
  • Commercial law governs digital business activities and agreements.
  • Cybersecurity protects systems and information from cyber threats.
  • New technologies and trends continue shaping digital security environments.
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