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 performance management within digital, business, and Robotic Process Automation (RPA) environments. Learners will explore planning, organising, workflow management, productivity, efficiency, cost management, housekeeping, quality systems, risk management, health and safety, and continual improvement practices used to support effective organisational performance. The lesson also examines how organisations improve operational efficiency and maintain quality within modern workplaces.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain planning, organising, and control processes
  • Describe workflow management principles
  • Explain cost and waste management
  • Describe productivity and efficiency concepts
  • Explain workplace housekeeping practices
  • Describe risk, health, safety, and environmental systems
  • Explain quality systems and continual improvement practices

KT0601: Planning, Organising and Control

Planning, organising, and control are important management activities used to achieve organisational goals efficiently.


Planning

Planning involves deciding:

  • What work must be done
  • How tasks will be completed
  • What resources are required
  • When activities should occur

Good planning improves:

  • Productivity
  • Coordination
  • Time management
  • Operational efficiency

Examples of planning activities include:

  • Workflow scheduling
  • Resource allocation
  • Project planning
  • Task prioritisation

Organising

Organising involves arranging resources and activities effectively.

Resources may include:

  • Employees
  • Equipment
  • Systems
  • Information
  • Workspaces

Good organisation improves workflow coordination and operational performance.


Control

Control involves monitoring activities and ensuring work is completed according to plans and standards.

Control activities may include:

  • Performance monitoring
  • Quality checks
  • Reporting
  • Workflow tracking

Control helps organisations identify problems and maintain operational standards.


KT0602: Work Flow

Workflow refers to the sequence of activities required to complete a process or task.

Workflows help organisations:

  • Organise activities
  • Improve coordination
  • Reduce delays
  • Increase efficiency

Workflow Activities

Workflow stages may include:

  1. Input
  2. Processing
  3. Review
  4. Approval
  5. Output

Automation systems often improve workflows by reducing manual repetitive activities.


Importance of Workflow Management

Good workflow management improves:

  • Productivity
  • Communication
  • Accuracy
  • Service delivery

Poor workflows may result in:

  • Delays
  • Errors
  • Waste
  • Reduced efficiency

Organisations should continuously review and improve workflows.


KT0603: Cost and Waste

Organisations aim to reduce unnecessary costs and waste while maintaining productivity and quality.


Cost

Cost refers to money spent on resources, operations, or services.

Examples include:

  • Labour costs
  • Equipment costs
  • Software costs
  • Operational expenses

Good cost management helps organisations improve profitability and sustainability.


Waste

Waste refers to unnecessary use of:

  • Time
  • Materials
  • Resources
  • Energy
  • Effort

Examples of workplace waste include:

Waste Type Example
Time Waste Delays and waiting
Material Waste Damaged resources
Process Waste Unnecessary activities
Energy Waste Inefficient systems

Reducing waste improves operational efficiency.


KT0604: Productivity and Efficiency

Productivity refers to the amount of work completed within a given period.

Efficiency refers to completing work with minimal waste of time, effort, or resources.


Productivity

High productivity means more output is produced effectively.

Examples include:

  • Faster workflow completion
  • Increased transaction processing
  • Improved service delivery

Efficiency

Efficiency focuses on:

  • Reducing delays
  • Eliminating unnecessary activities
  • Improving resource usage

Automation technologies often improve both productivity and efficiency.


Factors Affecting Productivity

Factors may include:

  • Employee skills
  • Technology
  • Workflow design
  • Communication
  • Resource availability

Organisations continuously measure productivity to improve performance.


KT0605: Housekeeping

Housekeeping refers to maintaining clean, organised, and safe workplaces.

Good housekeeping improves:

  • Safety
  • Productivity
  • Organisation
  • Professionalism

Examples of Good Housekeeping

Examples include:

  • Organising equipment properly
  • Keeping work areas clean
  • Storing files correctly
  • Removing unnecessary items
  • Maintaining safe walkways

Poor housekeeping may lead to:

  • Accidents
  • Lost productivity
  • Equipment damage
  • Health and safety risks

Good housekeeping supports efficient operations and workplace safety.


KT0606: Risk, Health, Safety, Environment and Related Systems

Organisations must manage risks and maintain safe working environments.


Risk Management

Risk management involves identifying and reducing workplace hazards and operational risks.

Examples of risks include:

  • Equipment failure
  • Security threats
  • Unsafe behaviour
  • Environmental hazards

Health and Safety

Health and safety practices protect employees and visitors from harm.

Examples include:

  • Emergency procedures
  • Protective equipment
  • Safety training
  • Hazard reporting

Environmental Responsibility

Organisations should reduce environmental impact by:

  • Reducing waste
  • Saving energy
  • Managing resources responsibly

Related Systems

Organisations may use systems and procedures to manage:

  • Safety
  • Compliance
  • Environmental protection
  • Incident reporting

Strong health and safety systems improve workplace wellbeing and operational reliability.


KT0607: Quality and Quality Systems

Quality refers to meeting required standards and customer expectations.

Quality systems help organisations maintain consistent performance and service delivery.


Quality Systems

Quality systems may include:

  • Policies
  • Procedures
  • Standards
  • Monitoring activities
  • Audits

Importance of Quality

Quality improves:

  • Customer satisfaction
  • Operational reliability
  • Organisational reputation
  • Compliance

Poor quality may result in:

  • Errors
  • Complaints
  • Rework
  • Financial losses

Quality Control

Quality control involves checking products, services, or workflows to ensure standards are met.

Automation systems may improve quality by reducing human error and increasing consistency.


KT0608: Continual Improvement

Continual improvement refers to ongoing efforts to improve processes, systems, and performance.

Organisations continuously improve operations to:

  • Increase productivity
  • Reduce waste
  • Improve quality
  • Improve customer satisfaction

Improvement Activities

Examples include:

  • Workflow optimisation
  • Employee training
  • Technology upgrades
  • Process reviews
  • Performance analysis

Benefits of Continual Improvement

Benefit Description
Better Efficiency Improved operations
Reduced Costs Less waste and rework
Higher Quality Improved standards
Increased Productivity Better output

Continual improvement helps organisations remain competitive and adaptable.


Performance Management in Modern Organisations

Modern organisations use performance management practices to improve operations and maintain competitiveness.

Performance management supports:

  • Productivity
  • Efficiency
  • Quality
  • Safety
  • Continuous improvement

Automation technologies also support performance management by improving workflows, reducing waste, and increasing operational consistency.


Key Notes

  • Planning, organising, and control support operational management.
  • Workflows organise tasks and activities efficiently.
  • Cost and waste management improve operational efficiency.
  • Productivity measures output, while efficiency focuses on reducing waste.
  • Good housekeeping improves safety and organisation.
  • Risk, health, safety, and environmental systems protect workplaces.
  • Quality systems maintain standards and consistency.
  • Continual improvement supports ongoing operational development.
  • Automation technologies improve productivity, efficiency, and quality.
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