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.
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.
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Occupational Certificate: Robotic Process Automation (RPA) Developer

Lesson Overview

This lesson introduces learners to creativity and its importance in design thinking, innovation, and workplace problem solving. Learners will explore how creativity helps people perceive the world in new ways, identify hidden patterns, make connections between unrelated ideas, and generate innovative solutions. The lesson also examines how creativity is applied in modern workplaces and digital environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Define creativity
  • Explain how creativity helps generate new ideas
  • Describe how people perceive the world in new ways
  • Explain how hidden patterns are identified
  • Describe how creativity connects unrelated ideas
  • Explain how creativity generates solutions
  • Describe applications of creativity in the workplace

KT0301: Creativity — Unleashing the Potential of the Mind to Conceive New Ideas

Creativity is the ability to generate new ideas, approaches, solutions, or ways of thinking.

According to the learning material:

“Creativity is unleashing the potential of the mind to conceive new ideas.”

Creativity allows individuals to:

  • Solve problems
  • Develop innovations
  • Improve systems
  • Generate original ideas
  • Explore new possibilities

Creativity is important in modern workplaces because organisations constantly seek better solutions and improved ways of working.


What Creativity Involves

Creativity involves:

  • Imagination
  • Curiosity
  • Observation
  • Experimentation
  • Innovation

Creative thinking allows people to move beyond traditional methods and explore alternative solutions.


Creativity in Everyday Life

Creativity can be applied in:

  • Problem solving
  • Product development
  • Business innovation
  • Technology
  • Design
  • Communication

Creativity is not limited to artists or designers. It is an important skill in many professional environments.


KT0302: Perceiving the World in New Ways

Creative individuals often view situations differently from others.

Perceiving the world in new ways means:

  • Looking beyond obvious solutions
  • Challenging assumptions
  • Exploring different perspectives
  • Thinking openly and flexibly

This helps people identify opportunities and solve problems more effectively.


Creative Thinking

Creative thinking encourages individuals to:

  • Ask questions
  • Explore possibilities
  • Observe carefully
  • Experiment with ideas

Creative thinkers often recognise opportunities that others may overlook.


Open-Mindedness

Open-minded individuals are more willing to:

  • Consider different ideas
  • Accept feedback
  • Explore change
  • Adapt to new situations

Open-mindedness supports creativity and innovation.


KT0303: Find Hidden Patterns

Creativity helps individuals identify hidden patterns and relationships within information and situations.

According to the learner material:

“This involves subjecting cleaned data to analysis in an attempt to identify hidden trends or patterns.”

Hidden patterns may reveal:

  • Customer behaviour
  • Operational problems
  • Trends
  • Opportunities
  • Risks

Pattern Recognition

Pattern recognition involves identifying repeated relationships or behaviours.

Examples include:

Pattern Example Description
Customer Trends Repeated buying behaviour
Workflow Delays Recurring operational issues
System Errors Repeated technical problems

Recognising patterns helps organisations improve decision-making and innovation.


Creativity and Data Analysis

Creative thinking improves the ability to:

  • Analyse information
  • Identify relationships
  • Interpret trends
  • Develop solutions

Modern digital systems and automation technologies often rely on pattern recognition and data analysis.


KT0304: Make Connections Between Seemingly Unrelated Phenomena

Creativity allows individuals to connect ideas, concepts, or situations that may initially appear unrelated.

Innovative ideas often emerge from combining existing concepts in new ways.


Examples of Creative Connections

Examples include:

  • Combining automation with customer service
  • Using mobile technology for business operations
  • Applying gaming concepts to education

Connecting unrelated ideas may lead to:

  • Innovation
  • New products
  • Improved processes
  • Creative solutions

Associative Thinking

Associative thinking is the ability to connect ideas and concepts creatively.

This helps individuals:

  • Solve complex problems
  • Generate innovative ideas
  • Improve systems and services

Many modern innovations resulted from combining ideas from different industries or fields.


KT0305: Generate Solutions

Creativity plays an important role in generating solutions to challenges and problems.

Creative problem solving involves:

  • Identifying problems
  • Exploring ideas
  • Testing alternatives
  • Improving solutions

Brainstorming

Brainstorming is a common creativity technique used to generate ideas freely.

Brainstorming encourages:

  • Open discussion
  • Multiple ideas
  • Team participation
  • Creative exploration

The goal is to produce as many ideas as possible before evaluating solutions.


Innovation Through Creativity

Creativity supports innovation by helping organisations:

  • Improve products
  • Enhance services
  • Solve customer problems
  • Improve operational efficiency

Creative solutions often improve competitiveness and organisational growth.


KT0306: Application in the Workplace

Creativity is important in modern workplaces because organisations operate in rapidly changing environments.

Creative thinking supports:

  • Innovation
  • Problem solving
  • Adaptability
  • Continuous improvement

Workplace Applications of Creativity

Creativity may be applied in:

Workplace Area Application
Product Development Creating new products
Customer Service Improving customer experiences
Technology Developing digital solutions
Business Processes Improving workflows

Creativity in Digital Environments

Modern organisations use creativity to:

  • Improve automation systems
  • Develop software solutions
  • Improve communication
  • Solve operational challenges

Creativity helps businesses remain competitive and responsive to change.


Importance of Creativity in Modern Organisations

Modern organisations value creativity because it improves:

  • Innovation
  • Adaptability
  • Productivity
  • Problem solving
  • Competitive advantage

Creativity helps organisations respond effectively to technological changes and evolving customer needs.

In digital and RPA environments, creativity supports continuous improvement and innovation.


Key Notes

  • Creativity involves generating new ideas and solutions.
  • Creative thinkers perceive situations in new ways.
  • Hidden patterns help organisations identify trends and opportunities.
  • Creativity connects unrelated ideas to generate innovation.
  • Brainstorming supports creative problem solving.
  • Creativity improves workplace innovation and adaptability.
  • Modern organisations rely on creativity for continuous improvement and business growth.
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