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.
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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.
0/3
Occupational Certificate: Robotic Process Automation (RPA) Developer

Lesson Overview

This lesson introduces learners to the fundamentals of design thinking, including its philosophy, approaches, concepts, terminology, and historical development. Learners will explore how design thinking supports creative problem solving, innovation, human-centered solutions, and business improvement within modern organisations and digital environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the philosophy of design thinking
  • Describe design thinking approaches and concepts
  • Define important design thinking terminology
  • Explain the history and development of design thinking
  • Describe the five phases of design thinking
  • Explain the role of design thinking in innovation and problem solving

KT0101: Philosophy

Design thinking is a human-centered approach to innovation that focuses on understanding people’s needs, solving problems creatively, and developing practical solutions.

According to IDEO founder David Kelley, design thinking is:

“A human-centered approach to innovation that draws from the designer’s toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.”

Design thinking focuses on:

  • Human needs
  • Creativity
  • Innovation
  • Practical problem solving
  • Continuous improvement

The Five Ideas of Design Thinking

Design thinking is a non-linear and iterative process used to solve complex problems.

The five phases are:

  1. Empathize
  2. Define
  3. Ideate
  4. Prototype
  5. Test

These phases help teams understand users, challenge assumptions, and create innovative solutions.


Philosophy Behind Design Thinking

The philosophy of design thinking asks:

  • How do designers think?
  • How are innovative solutions created?
  • How can creativity improve business and technology?

Design thinking encourages people to:

  • Think creatively
  • Explore different perspectives
  • Focus on users
  • Develop innovative solutions

The philosophy supports collaboration, experimentation, and continuous learning.


Early Foundations of Design Thinking

One of the first people to write about design thinking was John E. Arnold, an engineering professor associated with MIT and Stanford University.

During the 1950s, Arnold helped establish foundations for creativity, engineering innovation, and modern design thinking practices.

His work focused on:

  • Creative engineering
  • Innovation methods
  • Problem solving
  • Product development

KT0102: Approach and Concepts

Design thinking is a problem-solving approach that prioritises the needs of users and customers.

It relies on:

  • Observation
  • Empathy
  • Research
  • Creativity
  • Iterative development

Human-Centered Approach

Design thinking focuses on understanding how people interact with products, services, and systems.

This is called a human-centered approach.

The process involves:

  • Observing users
  • Understanding experiences
  • Identifying challenges
  • Developing practical solutions

The goal is to improve user experiences and solve real problems.


User Experience (UX)

User Experience (UX) refers to how users interact with products, systems, or services.

A UX approach includes:

  • User research
  • Information organisation
  • Visual design
  • Testing
  • Feedback collection

Design thinking helps organisations create products and services that satisfy user needs effectively.


Problem-Solving Approach

Design thinking combines:

  • Creativity
  • Analytical thinking
  • User-centered research

This helps organisations develop innovative and practical solutions to complex problems.


KT0103: Definitions and Terminology

Design thinking is a modern approach to problem solving that focuses on observing human behaviour and improving experiences.

It encourages designers and innovators to:

  • Observe users
  • Generate ideas
  • Build prototypes
  • Test solutions
  • Improve products and systems

Important Design Thinking Terms

Term Meaning
Empathize Understanding user needs
Define Identifying the problem
Ideate Generating ideas
Prototype Creating sample solutions
Test Evaluating solutions

These five stages form the core design thinking process.


Prototype

A prototype is an early version or model of a product or solution used for testing ideas.

Prototypes help teams:

  • Test concepts quickly
  • Identify problems
  • Gather feedback
  • Improve solutions

Iterative Process

Design thinking is iterative, meaning teams repeatedly improve solutions through testing and feedback.

This allows organisations to refine products and processes continuously.


KT0104: History

Design thinking developed over several decades through research into creativity, innovation, and problem solving.

The concept became widely recognised because organisations needed better methods for innovation and product development.


Origins of Design Thinking

The modern design thinking process is strongly associated with the design company IDEO in California.

IDEO developed practical methods for:

  • Human-centered design
  • Innovation
  • Product development
  • Creative problem solving

Historical Contributors

Several important individuals contributed to design thinking development.

John E. Arnold

Arnold wrote about creative engineering and innovation during the 1950s.


L. Bruce Archer

Archer explored systematic methods for designers and connected design thinking with management and business decision-making.


Robert McKim and Rolfe Faste

These educators helped teach design thinking as a creative and innovative problem-solving method at Stanford University.


David Kelley

David Kelley founded IDEO and helped adapt design thinking for business innovation and product development.


Growth of Design Thinking

Over time, design thinking expanded into many industries including:

  • Technology
  • Business
  • Education
  • Engineering
  • Healthcare
  • Software development

Today, organisations use design thinking to improve products, services, customer experiences, and business processes.


Importance of Design Thinking in Modern Organisations

Modern organisations use design thinking to:

  • Improve innovation
  • Solve complex problems
  • Improve customer experiences
  • Develop better products
  • Support digital transformation

Design thinking encourages creativity, collaboration, and continuous improvement within workplaces.

It is especially important in technology-driven industries and automation environments.


Key Notes

  • Design thinking is a human-centered problem-solving approach.
  • The five stages are Empathize, Define, Ideate, Prototype, and Test.
  • Design thinking focuses on user needs and experiences.
  • Prototypes help teams test and improve ideas.
  • The process is iterative and continuously improves solutions.
  • IDEO played an important role in developing modern design thinking practices.
  • Design thinking supports innovation, creativity, and problem solving.
  • Modern organisations use design thinking to improve products and services.
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