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.
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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.
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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 software development concepts, programming environments, development tools, mobile applications, and Internet of Things (IoT) technologies used in modern computing and automation systems. Learners will explore how software solutions are developed, the different areas of application development, and the technologies driving digital transformation in modern organisations.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain software development concepts
  • Describe the software development process
  • Identify different types of software applications
  • Explain game development concepts
  • Identify common software development tools
  • Describe mobile application development
  • Explain Internet of Things (IoT) concepts and applications

KT0401: Software Development

Software development is the process of designing, creating, testing, deploying, and maintaining computer programs and applications.

Software developers create systems that help users perform tasks, process information, automate workflows, and solve problems.

Software applications are used in:

  • Businesses
  • Education
  • Banking
  • Healthcare
  • E-commerce
  • Entertainment
  • Automation systems

Stages of Software Development

Software development usually follows structured phases called the Software Development Life Cycle (SDLC).

Common stages include:

  1. Planning
  2. Requirements gathering
  3. Design
  4. Development
  5. Testing
  6. Deployment
  7. Maintenance

Planning

Developers identify:

  • Project goals
  • User needs
  • Required features
  • Budget and timelines

Development

Programmers write source code using programming languages such as:

  • JavaScript
  • Python
  • Java
  • C#
  • PHP

Testing

Applications are tested to identify:

  • Bugs
  • Errors
  • Security weaknesses
  • Performance problems

Maintenance

Software requires updates and improvements after deployment.

Maintenance activities include:

  • Bug fixes
  • Security updates
  • Feature improvements
  • Performance optimisation

KT0402: Game Development

Game development involves creating interactive digital games for:

  • Computers
  • Mobile devices
  • Consoles
  • Online platforms

Game development combines:

  • Programming
  • Graphics
  • Sound
  • Animation
  • Storytelling
  • User interaction

Types of Games

Educational Games

Used for learning and training.

Simulation Games

Imitate real-world activities.

Action Games

Focus on fast-paced gameplay.

Strategy Games

Require planning and decision-making.


Components of Game Development

Game Engine

Software framework used to build games.

Examples:

  • Unity
  • Unreal Engine

Graphics and Animation

Visual elements displayed within the game.


Audio Systems

Music, sound effects, and voice interactions.


User Input

Keyboard, mouse, touchscreen, or controller interactions.


Importance of Game Development

Game development contributes to:

  • Entertainment industries
  • Educational technology
  • Virtual simulations
  • Artificial Intelligence research
  • Interactive media

Game development also improves:

  • Programming skills
  • Creativity
  • Problem-solving abilities

KT0403: Software Tools

Software development relies on specialised tools that assist programmers throughout the development process.

Software tools improve:

  • Productivity
  • Collaboration
  • Testing
  • Debugging
  • Deployment

Integrated Development Environments (IDEs)

An IDE is a software application that provides tools for writing and testing code.

Common IDE features include:

  • Code editors
  • Syntax highlighting
  • Debugging tools
  • Code suggestions

Examples:

  • Visual Studio Code
  • IntelliJ IDEA
  • Eclipse

Version Control Systems

Version control systems track changes made to source code.

Examples:

  • Git
  • GitHub
  • GitLab

Benefits include:

  • Collaboration
  • Backup protection
  • Change tracking
  • Code management

Debugging Tools

Debugging tools help developers:

  • Identify errors
  • Analyse program behaviour
  • Fix bugs

Testing Tools

Testing tools automate software testing and improve software quality.

Examples include:

  • Unit testing frameworks
  • Automated testing systems

KT0404: Mobile Apps

Mobile applications are software applications designed for smartphones and tablets.

Mobile apps support:

  • Communication
  • Banking
  • Shopping
  • Navigation
  • Education
  • Entertainment

Types of Mobile Apps

Native Apps

Built specifically for a mobile operating system.

Examples:

  • Android apps
  • iOS apps

Web Apps

Accessed through mobile web browsers.


Hybrid Apps

Combine features of native and web applications.


Mobile App Features

Mobile apps may use:

  • Cameras
  • GPS
  • Notifications
  • Touchscreens
  • Sensors

Importance of Mobile Applications

Mobile apps support:

  • Remote communication
  • Mobile business operations
  • Digital services
  • E-commerce
  • Cloud integration

Mobile technologies are important in automation and digital transformation environments.


KT0405: Internet of Things (IoT)

The Internet of Things (IoT) refers to physical devices connected to the internet that can collect, share, and process data.

IoT devices include:

  • Smart appliances
  • Sensors
  • Wearable devices
  • Industrial machines
  • Smart vehicles

How IoT Works

IoT systems usually involve:

  1. Sensors collecting data
  2. Internet connectivity
  3. Cloud processing
  4. Automated actions or responses

Examples of IoT Applications

Smart Homes

Devices such as:

  • Smart lights
  • Smart thermostats
  • Smart security systems

Healthcare

Wearable devices monitor:

  • Heart rate
  • Blood pressure
  • Fitness activity

Industrial Automation

Factories use IoT devices to:

  • Monitor equipment
  • Improve production
  • Detect faults

Smart Cities

IoT supports:

  • Traffic management
  • Energy monitoring
  • Public safety systems

Benefits of IoT

IoT improves:

  • Automation
  • Efficiency
  • Monitoring
  • Data collection
  • Decision-making

Risks of IoT

IoT systems may introduce:

  • Security risks
  • Privacy concerns
  • Connectivity issues
  • Data management challenges

Importance of Programming and Development in Modern Technology

Programming and development drive modern digital systems and innovation.

Software systems support:

  • Businesses
  • Automation
  • Artificial Intelligence
  • Robotics
  • Cloud computing
  • Data analytics

Understanding development concepts helps learners:

  • Build digital skills
  • Understand software systems
  • Prepare for technology careers
  • Participate in digital transformation initiatives

Programming and development are foundational components of 4IR technologies and modern computing environments.

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