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 application of design thinking in software development, cyber security, business innovation, and innovative problem solving. Learners will explore how organisations apply design thinking methodologies to improve systems, solve problems, support innovation, and develop user-focused solutions within modern digital environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the application of design thinking in software development
  • Describe the application of design thinking in cyber security
  • Explain how design thinking supports business innovation
  • Describe innovative problem-solving approaches
  • Explain the importance of user-focused solutions in digital environments

KT0701: Application in Software Development

Design thinking is widely used in software development to create systems and applications that meet user needs effectively.

Software developers use design thinking to:

  • Understand user requirements
  • Improve usability
  • Develop user-friendly applications
  • Solve software-related problems
  • Improve customer experiences

User-Centered Software Development

Design thinking encourages developers to focus on users during software development.

This involves:

  • Understanding user needs
  • Observing user behaviour
  • Gathering feedback
  • Testing applications

The goal is to create software that is:

  • Easy to use
  • Functional
  • Reliable
  • Efficient

Design Thinking in Software Projects

The design thinking process in software development may include:

  1. Understanding user problems
  2. Defining software requirements
  3. Generating solution ideas
  4. Building prototypes
  5. Testing applications

This process improves software quality and user satisfaction.


Benefits in Software Development

Applying design thinking in software development helps organisations:

  • Improve software usability
  • Reduce development errors
  • Improve customer satisfaction
  • Develop innovative digital solutions

Modern software development environments rely heavily on user-focused design principles.


KT0702: Application in Cyber Security

Design thinking is also applied in cyber security to improve protection systems and user awareness.

Cyber security solutions should consider:

  • Human behaviour
  • User experiences
  • Security risks
  • Accessibility

Design thinking helps organisations create security solutions that users can understand and apply effectively.


Human-Centered Security

Human-centered cyber security focuses on designing systems that are secure and easy for users to follow.

Examples include:

  • User-friendly authentication systems
  • Secure communication systems
  • Clear security procedures
  • User awareness training

Problem Solving in Cyber Security

Design thinking helps cyber security teams:

  • Identify vulnerabilities
  • Understand user behaviour
  • Improve security processes
  • Develop better protection methods

Security solutions become more effective when they consider both technical and human factors.


Benefits in Cyber Security

Applying design thinking in cyber security improves:

  • User awareness
  • System usability
  • Security compliance
  • Risk reduction

Modern organisations use design thinking to strengthen digital security environments.


KT0703: Business Innovation

Design thinking supports business innovation by encouraging organisations to develop new ideas, products, services, and processes.

Business innovation helps organisations:

  • Improve competitiveness
  • Increase efficiency
  • Improve customer experiences
  • Adapt to change

Innovation Through Design Thinking

Design thinking encourages organisations to:

  • Explore creative ideas
  • Identify customer needs
  • Improve products and services
  • Develop innovative solutions

Innovation is important because organisations operate in rapidly changing environments.


Examples of Business Innovation

Examples include:

Innovation Area Example
Digital Services Online platforms
Automation RPA workflows
Customer Service Self-service systems
Communication Digital collaboration tools

Innovation and Organisational Growth

Innovative organisations are often better able to:

  • Respond to customer expectations
  • Improve productivity
  • Increase operational efficiency
  • Remain competitive

Business innovation supports organisational sustainability and growth.


KT0704: Innovative Problem Solving

Innovative problem solving involves using creative thinking and structured methods to solve challenges effectively.

Design thinking supports innovative problem solving by encouraging:

  • Creativity
  • Observation
  • Collaboration
  • Experimentation
  • Testing solutions

Problem-Solving Process

Innovative problem solving may involve:

  1. Identifying the problem
  2. Understanding user needs
  3. Generating ideas
  4. Testing solutions
  5. Improving outcomes

This process supports continuous improvement and innovation.


Brainstorming and Creativity

Brainstorming allows teams to generate multiple solution ideas.

Creative problem solving encourages individuals to:

  • Think differently
  • Explore alternatives
  • Challenge assumptions
  • Develop innovative solutions

Benefits of Innovative Problem Solving

Innovative problem solving helps organisations:

  • Improve efficiency
  • Solve complex challenges
  • Increase adaptability
  • Improve customer satisfaction

Organisations that encourage innovative thinking are often more competitive and adaptable.


Application of Design Thinking in Modern Organisations

Modern organisations apply design thinking in many areas including:

  • Software development
  • Cyber security
  • Business innovation
  • Customer service
  • Automation systems

Design thinking helps organisations create effective, user-focused, and innovative solutions.

It also supports digital transformation, continuous improvement, and organisational growth.


Key Notes

  • Design thinking improves software development through user-focused design.
  • Cyber security solutions should consider both technical and human factors.
  • Business innovation supports competitiveness and organisational growth.
  • Innovative problem solving encourages creativity and experimentation.
  • Design thinking supports testing, prototyping, and continuous improvement.
  • Modern organisations use design thinking to improve products, systems, and services.
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