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 the fundamental principles of information security and cybersecurity within computing and digital environments. Learners will explore business continuity, disaster recovery, application security, access control, risk management, operational security, physical security, and network security practices used to protect systems, data, and digital operations.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the importance of information security
  • Identify common security risks and threats
  • Describe business continuity and disaster recovery concepts
  • Explain access control and security governance
  • Identify different types of security controls
  • Describe network and physical security measures
  • Apply security awareness principles in digital environments

KT0301: Business Continuity

Business continuity refers to the ability of an organisation to continue operating during and after disruptions or emergencies.

Modern businesses rely heavily on digital systems, making continuity planning essential.

Disruptions may include:

  • Cyberattacks
  • Power failures
  • Hardware failures
  • Natural disasters
  • Human error
  • System outages

Purpose of Business Continuity

Business continuity planning helps organisations:

  • Maintain critical operations
  • Reduce downtime
  • Protect revenue
  • Protect customer trust
  • Recover faster after incidents

Business Continuity Planning (BCP)

A Business Continuity Plan contains procedures and strategies used during disruptions.

Common elements include:

  • Backup procedures
  • Emergency communication plans
  • Alternative work locations
  • System recovery procedures
  • Incident response plans

Importance in IT Environments

Without continuity planning:

  • Operations may stop completely
  • Financial losses may increase
  • Customer services may fail
  • Sensitive data may become inaccessible

Business continuity is essential for:

  • Cloud systems
  • Automation platforms
  • Banking systems
  • Healthcare systems
  • E-commerce platforms

KT0302: Disaster Recovery Planning

Disaster recovery focuses specifically on restoring IT systems, applications, and data after major disruptions.

A disaster recovery plan helps organisations recover technology systems quickly and efficiently.


Common Causes of Disasters

  • Fires
  • Floods
  • Malware attacks
  • Ransomware
  • Hardware damage
  • Power outages

Disaster Recovery Components

Data Backups

Copies of important data stored securely.

Recovery Procedures

Steps used to restore systems and applications.

Recovery Time Objectives (RTO)

The target time required to restore systems.

Recovery Point Objectives (RPO)

The acceptable amount of data loss after a disruption.


Importance of Disaster Recovery

Effective disaster recovery:

  • Reduces downtime
  • Protects business operations
  • Preserves critical information
  • Minimises financial losses

Organisations regularly test disaster recovery plans to ensure effectiveness during emergencies.


KT0303: Application Development Security

Application development security refers to protecting software applications from vulnerabilities and cyber threats during development and deployment.

Secure applications help protect:

  • User information
  • Business data
  • System integrity
  • Online services

Common Application Security Risks

Weak Password Systems

Poor authentication methods may allow unauthorised access.

Input Validation Failures

Improper input handling may allow attacks such as SQL injection.

Unpatched Software

Outdated software may contain security vulnerabilities.

Poor Access Controls

Users may gain access to restricted functions or information.


Secure Development Practices

Developers improve security by:

  • Validating user input
  • Encrypting sensitive data
  • Updating software regularly
  • Testing applications for vulnerabilities
  • Following secure coding standards

KT0304: Access Control

Access control determines who can access systems, applications, and information.

Access control helps prevent:

  • Unauthorised access
  • Data breaches
  • Misuse of systems

Types of Access Control

Authentication

Verifying user identity.

Examples:

  • Passwords
  • Fingerprints
  • Facial recognition

Authorisation

Determining what users are allowed to access.

Examples:

  • User permissions
  • Administrator privileges
  • Role-based access

Multi-Factor Authentication (MFA)

MFA requires multiple forms of verification.

Example:

  • Password + mobile verification code

MFA significantly improves security.


KT0305: Information Security Governance

Information security governance refers to the policies, procedures, and management practices used to protect organisational information.

Governance ensures:

  • Security responsibilities are defined
  • Policies are followed
  • Risks are managed
  • Compliance requirements are met

Security Policies

Organisations develop policies for:

  • Password management
  • Data protection
  • Acceptable system use
  • Incident reporting
  • Device security

Compliance

Many organisations must comply with:

  • Data protection laws
  • Industry regulations
  • Security standards

Failure to comply may result in:

  • Financial penalties
  • Legal consequences
  • Reputation damage

KT0306: Risk Management

Risk management involves identifying, analysing, and reducing security risks.

A risk is any threat that could negatively affect systems or operations.


Risk Management Steps

  1. Identify risks
  2. Analyse impact
  3. Evaluate likelihood
  4. Implement controls
  5. Monitor continuously

Examples of Security Risks

  • Malware infections
  • Weak passwords
  • Insider threats
  • Phishing attacks
  • Data leaks
  • Unsecured networks

Risk Mitigation

Risk mitigation involves reducing the impact or likelihood of risks.

Examples include:

  • Installing antivirus software
  • Using firewalls
  • Training employees
  • Encrypting data

KT0307: Operational Security

Operational security (OPSEC) focuses on protecting sensitive operational information from exposure.

Operational security helps organisations:

  • Protect confidential information
  • Prevent unauthorised disclosure
  • Secure operational processes

Examples of Operational Security Practices

  • Restricting sensitive information access
  • Monitoring user activities
  • Securing communication channels
  • Protecting passwords
  • Managing user permissions

Importance of OPSEC

Poor operational security may expose:

  • Customer information
  • Financial data
  • Business strategies
  • System configurations

Operational security is critical in:

  • Government systems
  • Financial institutions
  • Healthcare systems
  • Corporate environments

KT0308: Physical Security

Physical security protects hardware, facilities, and equipment from physical threats.

Physical threats include:

  • Theft
  • Fire
  • Flooding
  • Vandalism
  • Unauthorised physical access

Physical Security Controls

Security Cameras

Monitor facilities and activities.

Access Cards

Restrict physical entry.

Locks and Barriers

Protect rooms and equipment.

Security Guards

Provide human monitoring.

Environmental Controls

Protect systems from heat, dust, or water damage.


Importance of Physical Security

Even strong digital security can fail if attackers gain physical access to systems.

Physical security protects:

  • Servers
  • Computers
  • Networking devices
  • Data centres

KT0309: Network Security

Network security protects computer networks from unauthorised access, attacks, and misuse.

Networks connect:

  • Computers
  • Servers
  • Cloud systems
  • Mobile devices

Common Network Threats

  • Malware
  • Phishing
  • Denial-of-service attacks
  • Unauthorised access
  • Data interception

Network Security Controls

Firewalls

Filter network traffic.

Antivirus Software

Detects and removes malicious software.

Encryption

Protects transmitted information.

Virtual Private Networks (VPNs)

Secure remote communication.

Intrusion Detection Systems

Monitor suspicious activities.


Importance of Network Security

Strong network security:

  • Protects data
  • Prevents attacks
  • Secures communications
  • Supports business continuity

Network security is essential in:

  • Cloud computing
  • Banking systems
  • Automation environments
  • E-commerce platforms
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