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.
0/19
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 design and its role in design thinking and innovation. Learners will explore the purpose of design, the design thinking process, ideation, prototyping, and the importance of developing user-focused solutions. The lesson also examines how design supports creativity, problem solving, and innovation in modern workplaces and digital environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the meaning and purpose of design
  • Describe the role of design in problem solving
  • Explain the stages of the design thinking process
  • Describe ideation and prototyping
  • Explain the importance of user-focused design
  • Describe applications of design in modern workplaces

KT0501: Introduction to Design

Design refers to the process of planning and creating solutions, products, systems, or experiences that meet user needs.

Design combines:

  • Creativity
  • Functionality
  • Innovation
  • Problem solving

Good design improves how people interact with products, services, and systems.


Purpose of Design

The purpose of design is to:

  • Solve problems
  • Improve experiences
  • Increase usability
  • Support innovation
  • Meet user needs

Design is important because organisations must develop products and services that are practical, effective, and user-friendly.


KT0502: Design Thinking Process

Design thinking provides a structured process for developing innovative solutions.

The design thinking process includes:

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

This process is iterative, meaning solutions are continuously improved through feedback and testing.


Empathize

The empathize phase focuses on understanding users, their experiences, and their challenges.

Activities may include:

  • Observation
  • Interviews
  • User research

Understanding users improves solution development.


Define

The define phase identifies the main problem that must be solved.

This stage helps teams focus on:

  • User needs
  • Challenges
  • Opportunities for improvement

KT0503: Ideation

Ideation is the third stage of the design thinking process.

According to the learning material:

“Ideation, or ‘Ideate’, is the third step in the Design Thinking process.”

Ideation focuses on generating ideas and exploring possible solutions.


Importance of Ideation

Ideation is important because it encourages:

  • Creativity
  • Innovation
  • Brainstorming
  • Exploration of alternatives

Teams are encouraged to generate many ideas before selecting the best solution.


Brainstorming

Brainstorming is a common ideation technique where teams freely share ideas.

The goal is to:

  • Encourage creativity
  • Explore possibilities
  • Develop innovative solutions

No idea is immediately rejected during brainstorming activities.


KT0504: Prototype

A prototype is an early model or version of a product or solution.

Prototypes help teams:

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

Prototyping allows organisations to experiment before full implementation.


Benefits of Prototyping

Benefit Description
Early Testing Identify problems quickly
User Feedback Understand user responses
Improvement Refine solutions
Cost Reduction Reduce expensive mistakes

Rapid prototyping supports innovation and continuous improvement.


KT0505: Testing

Testing evaluates whether solutions effectively solve problems and satisfy user needs.

Testing may involve:

  • User feedback
  • Product trials
  • Observation
  • Performance evaluation

Testing helps organisations improve solutions before final implementation.


Importance of Testing

Testing improves:

  • Usability
  • Reliability
  • Customer satisfaction
  • Product quality

Testing is an important part of continuous improvement within design thinking.


KT0506: User-Focused Design

User-focused design ensures that products and services are designed around user needs and experiences.

Good design should be:

  • Easy to use
  • Accessible
  • Functional
  • Reliable

User-focused solutions improve customer satisfaction and operational effectiveness.


User Experience (UX)

User Experience (UX) refers to how users interact with products and systems.

Good UX design improves:

  • Satisfaction
  • Productivity
  • Accessibility
  • Ease of use

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


KT0507: Design in Modern Workplaces

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

Design is applied in:

  • Product development
  • Software applications
  • Customer service
  • Digital platforms
  • Automation systems

Good design improves operational efficiency and customer experiences.


Design and Innovation

Design supports innovation by helping organisations:

  • Develop better products
  • Improve services
  • Solve complex problems
  • Improve workflows

Design thinking encourages continuous improvement and adaptability.


KT0508: Design and Digital Transformation

Digital transformation has increased the importance of design in technology environments.

Modern organisations use design to improve:

  • Websites
  • Mobile applications
  • Automation systems
  • User interfaces
  • Digital experiences

Design improves both functionality and user interaction within digital systems.


Importance of Design in Modern Organisations

Modern organisations rely on design to improve products, services, and customer experiences.

Design supports:

  • Innovation
  • Creativity
  • Problem solving
  • Continuous improvement
  • User satisfaction

Design thinking helps organisations remain competitive and adaptable in rapidly changing environments.


Key Notes

  • Design focuses on creating effective solutions and experiences.
  • The design thinking process includes Empathize, Define, Ideate, Prototype, and Test.
  • Ideation encourages brainstorming and creative exploration.
  • Prototypes help teams test and improve ideas.
  • Testing improves usability and product quality.
  • User-focused design improves customer experiences.
  • Design supports innovation and digital transformation.
  • Modern organisations use design to improve products and systems.
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