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 different types of resources used in business, digital, and Robotic Process Automation (RPA) environments. Learners will explore human resources, financial resources, physical resources, and communication and information technology resources required for organisational operations and business success. The lesson also examines how organisations manage resources effectively to improve productivity, efficiency, and sustainability.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the importance of human resources in organisations
  • Describe financial resources and their role in business operations
  • Explain physical resources used in workplaces
  • Describe communication and information technology resources
  • Explain the importance of effective resource management
  • Describe how resources support organisational productivity and sustainability

KT0901: Human Resources

Human resources refer to the people who work within an organisation and contribute to achieving business objectives.

Human resources are important because employees perform activities such as:

  • Managing operations
  • Providing services
  • Supporting customers
  • Operating systems
  • Maintaining workflows

Employees contribute knowledge, skills, and experience to organisational activities.


Importance of Human Resources

Human resources help organisations:

  • Improve productivity
  • Deliver services
  • Solve problems
  • Support teamwork
  • Achieve organisational goals

Without skilled employees, organisations may struggle to operate effectively.


Human Resource Activities

Examples of human resource activities include:

Activity Description
Recruitment Hiring employees
Training Developing skills
Performance Management Monitoring employee performance
Employee Relations Managing workplace relationships

Skills Development

Modern organisations require employees with skills in:

  • Communication
  • Technology
  • Problem solving
  • Automation
  • Digital systems

Training and development improve employee performance and adaptability.


KT0902: Financial Resources

Financial resources refer to the money and funding available to support business activities.

Financial resources are required for:

  • Purchasing equipment
  • Paying employees
  • Managing operations
  • Expanding businesses
  • Supporting projects

Organisations must manage finances carefully to remain sustainable.


Sources of Financial Resources

Examples include:

  • Sales revenue
  • Investments
  • Loans
  • Grants
  • Business profits

Importance of Financial Resources

Financial resources help organisations:

  • Maintain operations
  • Invest in technology
  • Support growth
  • Manage costs
  • Improve competitiveness

Poor financial management may create operational difficulties.


Financial Planning

Financial planning involves:

  • Budgeting
  • Cost control
  • Forecasting
  • Monitoring expenses

Good financial planning supports organisational stability and sustainability.


KT0903: Physical Resources (Infrastructure, Machinery, Equipment)

Physical resources refer to tangible assets used by organisations to support operations.

Examples include:

  • Buildings
  • Offices
  • Computers
  • Machinery
  • Equipment
  • Vehicles
  • Networks

Infrastructure

Infrastructure refers to the basic facilities and systems required for organisational operations.

Examples include:

  • Electricity
  • Internet connectivity
  • Office space
  • Network systems

Good infrastructure supports productivity and operational efficiency.


Machinery and Equipment

Machinery and equipment help organisations:

  • Increase productivity
  • Improve efficiency
  • Reduce manual work
  • Support automation

Examples include:

Resource Example
Machinery Manufacturing equipment
IT Equipment Computers and servers
Networking Equipment Routers and switches

Maintenance of Physical Resources

Organisations must maintain physical resources properly to:

  • Prevent breakdowns
  • Improve safety
  • Reduce downtime
  • Extend equipment lifespan

Poor maintenance may reduce productivity and increase operational costs.


KT0904: Communication and Information Technology

Communication and Information Technology (ICT) refers to technologies used to process, store, manage, and communicate information.

ICT plays an important role in modern organisations and digital environments.


Examples of ICT Resources

Examples include:

  • Computers
  • Mobile devices
  • Email systems
  • Networks
  • Cloud services
  • Software applications
  • Automation systems

Importance of ICT

ICT supports:

  • Communication
  • Data management
  • Automation
  • Collaboration
  • Customer service
  • Business operations

Modern organisations rely heavily on ICT systems to improve efficiency and productivity.


Communication Systems

Communication systems help employees and organisations exchange information effectively.

Examples include:

  • Email
  • Messaging systems
  • Video conferencing
  • Collaboration platforms

Good communication improves teamwork and operational coordination.


Information Technology and Automation

Information technology supports automation systems by providing:

  • Processing power
  • Connectivity
  • Data storage
  • Workflow management

RPA systems depend on ICT infrastructure to operate effectively.


Resource Management in Organisations

Resource management involves planning, organising, and controlling organisational resources efficiently.

Good resource management helps organisations:

  • Improve productivity
  • Reduce waste
  • Control costs
  • Support sustainability
  • Improve operational performance

Poor resource management may lead to:

  • Financial losses
  • Operational delays
  • Reduced efficiency
  • Equipment failure

Organisations should continuously monitor and manage resources responsibly.


Resources in Modern Digital Environments

Modern organisations depend on multiple resources to support operations and digital transformation.

These include:

  • Skilled employees
  • Financial investment
  • Physical infrastructure
  • ICT systems

Automation and digital technologies continue increasing the importance of effective resource management within business environments.


Key Notes

  • Human resources refer to employees and workforce activities.
  • Financial resources provide funding for business operations.
  • Physical resources include infrastructure, machinery, and equipment.
  • ICT resources support communication and information management.
  • Skilled employees improve organisational productivity and performance.
  • Financial planning supports business sustainability.
  • Physical resources must be maintained properly.
  • ICT systems support automation and digital operations.
  • Good resource management improves efficiency and sustainability.
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