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

Lesson Overview

This lesson introduces learners to future skills and competencies required in Fourth Industrial Revolution (4IR) environments. Learners will explore disruptive thinking, innovative thinking, continuous idea generation, soft skills, programming languages, operating systems, open-source technologies, cloud environment tools, Office tools, and leadership and people management skills. The lesson focuses on preparing learners for modern digital workplaces and rapidly changing technology environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain disruptive thinking and its importance
  • Describe innovative thinking and problem solving
  • Explain the importance of continuous learning and idea generation
  • Describe important soft skills for 4IR workplaces
  • Explain programming languages and operating systems
  • Describe open-source technologies
  • Explain tools used in cloud environments
  • Describe the importance of Office tools
  • Explain leadership and people management skills

KT0301: Disruptive Thinking

Disruptive thinking involves challenging traditional approaches and developing new ideas that improve existing systems, products, or services.

Disruptive thinking encourages individuals to:

  • Think differently
  • Challenge assumptions
  • Explore alternative solutions
  • Identify new opportunities

According to the learner material, disruptive thinking should be encouraged and applied within learners’ own environments.


Importance of Disruptive Thinking

Disruptive thinking supports:

  • Innovation
  • Creativity
  • Problem solving
  • Business improvement
  • Adaptability

Organisations use disruptive thinking to remain competitive in changing markets.


Examples of Disruptive Thinking

Examples include:

Traditional Approach Disruptive Solution
Physical banking Online banking
Manual processes Automation systems
Traditional retail E-commerce platforms

Disruptive ideas often transform industries and customer experiences.


KT0302: Continuously Searching for Ideas

Modern workplaces require individuals to continuously search for new ideas and improvements.

Continuous idea generation involves:

  • Research
  • Observation
  • Curiosity
  • Learning
  • Innovation

Importance of Continuous Learning

Technology and business environments change rapidly.

Employees should therefore:

  • Learn continuously
  • Develop new skills
  • Stay informed about trends
  • Adapt to technological changes

Continuous improvement supports professional growth and organisational success.


Sources of New Ideas

Ideas may come from:

  • Customer feedback
  • Market research
  • Technology developments
  • Team collaboration
  • Industry trends

Organisations that encourage idea generation often improve innovation and competitiveness.


KT0303: Thinking Innovatively

Innovative thinking involves analysing current situations and developing creative solutions to existing problems.

According to the learner material:

“Analyse the current market and come up with solutions to the current problems.”

Innovative thinkers focus on:

  • Problem solving
  • Creativity
  • Adaptability
  • Continuous improvement

Market Analysis

Market analysis involves understanding:

  • Customer needs
  • Competitors
  • Industry trends
  • Business opportunities

Good analysis helps organisations develop better products and services.


Innovative Solutions

Innovative solutions may involve:

  • New technologies
  • Improved workflows
  • Better customer services
  • Automation systems

Innovation supports organisational growth and competitiveness.


KT0304: Soft Skills

Soft skills are personal and interpersonal abilities that help individuals work effectively with others.

Soft skills are important in modern workplaces because employees regularly interact with teams, customers, and technology systems.


Examples of Soft Skills

Examples include:

Soft Skill Description
Communication Sharing information effectively
Teamwork Working well with others
Problem Solving Identifying and resolving issues
Adaptability Responding to change

Importance of Soft Skills

Soft skills improve:

  • Workplace relationships
  • Productivity
  • Collaboration
  • Customer service

Employers increasingly value soft skills in digital environments.


KT0305: Programming Languages

Programming languages are used to create software, applications, and automation systems.

Programming skills are important in modern digital workplaces and 4IR environments.


Examples of Programming Languages

Examples include:

  • JavaScript
  • Python
  • Java
  • C++
  • PHP

Different programming languages are used for different purposes.


Importance of Programming Languages

Programming languages support:

  • Software development
  • Automation
  • Web applications
  • Artificial intelligence
  • Data analysis

Programming knowledge improves digital and technical problem solving.


KT0306: Operating Systems

An operating system (OS) is software that manages computer hardware and software resources.

Operating systems allow users and applications to interact with computers.


Examples of Operating Systems

Examples include:

  • Microsoft Windows
  • Linux
  • macOS
  • Android

Functions of Operating Systems

Operating systems manage:

  • Memory
  • Files
  • Applications
  • Hardware devices
  • Security

Operating systems are essential for modern computing environments.


KT0307: Open Source

Open-source software is software with source code that can be modified and shared freely.

Open-source technologies encourage:

  • Collaboration
  • Innovation
  • Flexibility
  • Community development

Examples of Open-Source Software

Examples include:

  • Linux
  • Apache
  • Mozilla Firefox
  • LibreOffice

Benefits of Open Source

Open-source software offers:

  • Lower costs
  • Flexibility
  • Community support
  • Continuous improvement

Many modern cloud and software systems use open-source technologies.


KT0308: Tools for a Cloud Environment

Cloud environments use specialised tools for configuration, management, monitoring, debugging, and image management.

These tools help organisations manage digital infrastructure effectively.


Types of Cloud Environment Tools

Examples include:

Tool Type Purpose
Configuration Tools Manage system settings
Monitoring Tools Track system performance
Debugging Tools Identify system problems
Logging Tools Record system activities
Image Tools Manage virtual machine images

Importance of Cloud Tools

Cloud tools support:

  • System management
  • Automation
  • Troubleshooting
  • Performance monitoring

Cloud environments are important in modern digital business operations.


KT0309: Familiarity with Office Tools

Office productivity tools are commonly used in workplaces for communication, reporting, and administration.

Employees should be familiar with office applications and digital productivity tools.


Examples of Office Tools

Examples include:

  • Microsoft Word
  • Microsoft Excel
  • Microsoft PowerPoint
  • Google Workspace tools

Importance of Office Tools

Office tools support:

  • Document creation
  • Data analysis
  • Presentations
  • Communication
  • Reporting

Digital literacy is important in modern workplaces.


KT0310: Leadership and People Management Skills

Leadership and people management skills help individuals guide teams and support organisational goals.

Good leaders motivate employees and improve teamwork.


Leadership Skills

Examples include:

  • Decision making
  • Communication
  • Problem solving
  • Motivation
  • Accountability

People Management

People management involves:

  • Supervising employees
  • Supporting teamwork
  • Resolving conflicts
  • Managing performance

Good leadership improves workplace productivity and organisational success.


Future Skills in 4IR Environments

The Fourth Industrial Revolution continues changing workplaces and industries.

Future employees require:

  • Technical skills
  • Soft skills
  • Innovation abilities
  • Leadership capabilities
  • Adaptability

Continuous learning and digital competency are essential for success in modern environments.


Key Notes

  • Disruptive thinking challenges traditional methods and encourages innovation.
  • Continuous learning supports adaptability and professional growth.
  • Innovative thinking focuses on solving current problems creatively.
  • Soft skills improve teamwork and communication.
  • Programming languages support software and automation development.
  • Operating systems manage computing resources.
  • Open-source technologies encourage collaboration and flexibility.
  • Cloud environment tools support digital infrastructure management.
  • Office tools improve workplace productivity.
  • Leadership and people management improve organisational performance.
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