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.
0/7
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.
0/7
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.
0/13
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.
0/7
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.
0/15
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.
0/29
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.
0/16
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.
0/15
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.
0/4
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 design thinking methodology and the tools used during the design thinking process. Learners will explore the structured methods used to understand problems, analyse information, generate ideas, and develop innovative solutions. The lesson also examines how design thinking methodologies support collaboration, creativity, innovation, and problem solving within modern workplaces and digital environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the design thinking methodology
  • Describe the phases of the design thinking process
  • Explain design thinking tools and techniques
  • Describe immersion, analysis, synthesis, and ideation
  • Explain the importance of prototyping and testing
  • Describe applications of design thinking methodologies in workplaces

KT0601: Introduction to Design Thinking Methodology

Design thinking methodology refers to the structured process used to solve problems creatively and develop innovative solutions.

The methodology focuses on:

  • Human-centered problem solving
  • Creativity
  • Innovation
  • Collaboration
  • Continuous improvement

Design thinking encourages teams to understand user needs before developing solutions.


The Five Phases of Design Thinking

According to the learning material, the five phases include:

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

These phases guide organisations through a systematic problem-solving process.


KT0602: Empathize

The empathize phase focuses on understanding users and their experiences.

This stage involves:

  • Observation
  • Interviews
  • Research
  • Listening to users

The goal is to understand user problems, needs, and behaviours.


Importance of Empathy

Empathy helps organisations:

  • Understand customer experiences
  • Identify real problems
  • Improve user satisfaction
  • Develop meaningful solutions

Without empathy, organisations may create solutions that do not meet user needs effectively.


KT0603: Define

The define phase focuses on clearly identifying the problem that must be solved.

This stage helps teams:

  • Analyse information
  • Identify patterns
  • Clarify user needs
  • Focus on key challenges

A well-defined problem improves the quality of solutions developed later.


Problem Statements

A problem statement explains:

  • The issue being addressed
  • The user affected
  • The challenge requiring a solution

Clear problem statements guide the innovation process effectively.


KT0604: Ideation

Ideation is the process of generating ideas and exploring possible solutions.

The learning material identifies ideation as an important design thinking stage used for creative exploration.


Brainstorming

Brainstorming is a common ideation activity where teams generate many ideas freely.

Brainstorming encourages:

  • Creativity
  • Collaboration
  • Innovation
  • Open thinking

The goal is to generate as many ideas as possible before evaluating them.


Creative Thinking During Ideation

Creative thinking allows teams to:

  • Explore alternatives
  • Challenge assumptions
  • Develop innovative approaches
  • Solve complex problems

Ideation supports innovation and continuous improvement.


KT0605: Prototype

A prototype is an early model or sample solution created for testing purposes.

Prototypes help teams:

  • Visualise ideas
  • Test concepts
  • Gather feedback
  • Improve solutions

Prototyping reduces the risk of costly mistakes during implementation.


Rapid Prototyping

Rapid prototyping involves creating quick sample solutions for testing and improvement.

Benefits include:

Benefit Description
Faster Feedback Identify problems quickly
Lower Risk Reduce implementation mistakes
Continuous Improvement Improve solutions iteratively

Rapid prototyping encourages experimentation and innovation.


KT0606: Test

Testing evaluates whether solutions successfully meet user needs and solve identified problems.

Testing activities may include:

  • User feedback
  • Observation
  • Product evaluation
  • Performance reviews

Testing helps organisations improve solutions continuously.


Importance of Testing

Testing improves:

  • Product quality
  • User satisfaction
  • Reliability
  • Usability

Testing also helps organisations identify improvements before final implementation.


KT0607: Design Thinking Tools

The learning material refers to several important design thinking tools.

Examples include:

Tool Purpose
Immersion Research and contextual understanding
Analysis and Synthesis Grouping and interpreting data
Ideation Tools Generating innovative solutions
Prototyping Tools Building sample solutions

These tools support structured innovation and problem solving.


Immersion

Immersion involves researching and understanding the context of a problem.

Activities may include:

  • Observation
  • User interviews
  • Environmental analysis
  • Data collection

Immersion helps teams understand situations more deeply.


Analysis and Synthesis

Analysis and synthesis involve organising information and identifying patterns or insights.

This stage helps teams:

  • Interpret data
  • Identify relationships
  • Clarify problems
  • Develop insights

Good analysis improves solution development.


KT0608: Application of Design Thinking Methodology

Design thinking methodologies are used in many industries and workplaces.

Applications include:

  • Product development
  • Software development
  • Business improvement
  • Customer service
  • Automation systems

Design thinking supports innovation and problem solving across many professional environments.


Design Thinking in Digital Environments

Modern digital organisations use design thinking to improve:

  • User experiences
  • Digital products
  • Automation systems
  • Workflow efficiency

Design thinking helps organisations remain innovative and responsive to change.


Importance of Design Thinking Methodology

Design thinking methodologies help organisations:

  • Solve complex problems
  • Improve creativity
  • Support innovation
  • Improve collaboration
  • Develop user-focused solutions

The methodology encourages continuous learning, experimentation, and improvement.

Modern organisations increasingly rely on design thinking to support digital transformation and innovation.


Key Notes

  • Design thinking methodology is a structured approach to innovation and problem solving.
  • The five phases are Empathize, Define, Ideate, Prototype, and Test.
  • Empathy helps organisations understand user needs.
  • Ideation supports brainstorming and creativity.
  • Prototypes help teams test ideas early.
  • Testing improves solution quality and usability.
  • Immersion and analysis help organisations understand problems deeply.
  • Design thinking supports innovation in modern workplaces and digital environments.
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