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.
0/15
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.
0/12
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.
0/7
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.
0/6
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.
0/7
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.
0/3
Occupational Certificate: Robotic Process Automation (RPA) Developer

Lesson Overview

This lesson introduces learners to the human element in design thinking and innovation. Learners will explore human-centered design methods, empathy, user needs, behaviour, collaboration, observation, and the importance of understanding people when developing products, systems, and solutions. The lesson focuses on how organisations create meaningful and effective solutions by placing people at the centre of the design process.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the importance of the human element in design thinking
  • Describe human-centered design methods
  • Explain empathy and user-focused problem solving
  • Describe observation and user research techniques
  • Explain collaboration in design thinking
  • Describe how human-centered design improves innovation

KT0201: Introduction to the Human Element

The human element in design thinking focuses on understanding people, their experiences, needs, behaviours, and challenges.

Design thinking is people-centered because successful products and services must solve real human problems.

The human element helps organisations:

  • Improve customer experiences
  • Develop useful solutions
  • Increase innovation
  • Improve user satisfaction

Human-centered approaches encourage organisations to design with users rather than only for users.


Human-Centered Design

Human-centered design is an approach that places people and their needs at the centre of problem solving and innovation.

The process involves:

  • Understanding users
  • Observing behaviour
  • Identifying challenges
  • Testing solutions with users

Human-centered design improves the usability and effectiveness of products and services.


KT0202: Human-Centered Design Methods

Human-centered design methods are techniques used to understand users and improve solutions.

According to the learner material, the four important principles include:

  1. Understand and address the core problems
  2. Be people-centered
  3. Use an activity-centered systems approach
  4. Use rapid iterations of prototyping and testing

Understanding Core Problems

Design thinking focuses on solving the real underlying problem rather than only treating symptoms.

This requires:

  • Research
  • Observation
  • Analysis
  • User feedback

Understanding the true problem improves solution quality.


Being People-Centered

People-centered design focuses on user experiences, emotions, and needs.

Designers should consider:

  • User expectations
  • Accessibility
  • Ease of use
  • User satisfaction

Solutions should improve people’s experiences and interactions.


Activity-Centered Systems Approach

An activity-centered systems approach focuses on how people perform tasks and interact with systems.

This involves understanding:

  • User workflows
  • Processes
  • Behaviours
  • Tasks

The goal is to improve efficiency, usability, and effectiveness.


Rapid Iteration of Prototyping and Testing

Design thinking encourages repeated testing and improvement of ideas.

Rapid prototyping allows teams to:

  • Test ideas quickly
  • Gather feedback
  • Identify weaknesses
  • Improve solutions continuously

Iteration supports innovation and continuous improvement.


KT0203: Empathy in Design Thinking

Empathy is the ability to understand and share the feelings, experiences, and perspectives of others.

Empathy is one of the most important parts of design thinking.

It helps designers:

  • Understand user problems
  • Identify frustrations
  • Improve experiences
  • Create meaningful solutions

Empathy Activities

Examples include:

Activity Purpose
Interviews Understand user experiences
Observation Study user behaviour
Surveys Gather feedback
User Testing Evaluate solutions

Empathy improves communication between designers and users.


KT0204: Observation and User Research

Observation and research help organisations understand how users interact with systems, products, and services.

User research may involve:

  • Watching user behaviour
  • Conducting interviews
  • Collecting feedback
  • Analysing experiences

Research provides important information for improving solutions.


Importance of Observation

Observation helps organisations:

  • Identify hidden problems
  • Understand user needs
  • Improve workflows
  • Reduce assumptions

Careful observation often reveals problems users may not communicate directly.


KT0205: Collaboration and Teamwork

Design thinking encourages collaboration between different people and teams.

Collaboration may involve:

  • Designers
  • Developers
  • Customers
  • Managers
  • End users

Different perspectives improve creativity and innovation.


Benefits of Collaboration

Collaboration supports:

  • Better problem solving
  • Improved communication
  • More creative ideas
  • Better decision-making

Teams often generate stronger solutions when working together.


KT0206: User Needs and Experiences

Successful products and services should satisfy user needs effectively.

User needs may include:

  • Simplicity
  • Efficiency
  • Accessibility
  • Reliability
  • Convenience

Poor understanding of user needs may result in ineffective solutions.


User Experience (UX)

User Experience (UX) refers to how users feel when interacting with products or systems.

Good UX design improves:

  • Satisfaction
  • Productivity
  • Accessibility
  • Ease of use

Modern organisations use UX principles to improve digital products and services.


KT0207: Human Element in Innovation

Innovation becomes more successful when organisations understand human behaviour and needs.

Human-centered innovation focuses on:

  • Solving real problems
  • Improving experiences
  • Supporting accessibility
  • Increasing customer value

Technology alone does not guarantee successful innovation.

Successful innovation combines:

  • Human understanding
  • Creativity
  • Technology
  • Practical problem solving

Human-Centered Design in Modern Organisations

Modern organisations increasingly use human-centered design approaches to improve products, services, and digital systems.

Human-centered methods support:

  • Better customer experiences
  • Improved product design
  • Greater innovation
  • Better organisational performance

Design thinking encourages organisations to place people at the centre of innovation and decision-making.


Key Notes

  • The human element focuses on understanding people and user needs.
  • Human-centered design places users at the centre of problem solving.
  • Empathy helps designers understand user experiences.
  • Observation and research improve solution development.
  • Collaboration supports creativity and innovation.
  • User experience focuses on how users interact with products and systems.
  • Rapid prototyping and testing improve solutions continuously.
  • Human-centered innovation improves customer satisfaction and usability.
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