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.
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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 the foundational concepts of programming languages and the role programming plays in modern computing systems. Learners will explore programming terminology, programming logic, syntax, coding structures, and the importance of selecting suitable programming languages for different applications. The lesson also examines how programming develops structured thinking, creativity, and problem-solving abilities required in software development and automation environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the concepts, principles, and terminology used in programming
  • Describe how programming develops structured and creative thinking skills
  • Explain the logic used in programming processes
  • Identify factors considered when choosing a programming language
  • Explain the importance of syntax in programming
  • Describe the process of learning, installing, and setting up programming environments

KT0101: Concepts, Principles and Terminology

Programming is the process of creating instructions that tell a computer how to perform specific tasks. These instructions are written using programming languages that computers can interpret and execute.

A programming language is a structured communication system used to create software applications, automate processes, manipulate data, and control computing systems.

Programming languages use specific rules and structures known as syntax. Developers must follow these rules carefully so that computers can correctly understand and execute instructions.

Common programming terminology includes:

Term Description
Code Instructions written in a programming language
Program A complete set of instructions designed to perform tasks
Compiler Software that translates code into machine-readable instructions
Syntax Rules governing how code is written
Bug An error or problem in code
Debugging The process of identifying and fixing errors
Algorithm A step-by-step procedure used to solve problems
Variable A storage location for data values

Programming principles focus on creating software that is:

  • Logical
  • Efficient
  • Reliable
  • Maintainable
  • Accurate

Programming is used in many areas including:

  • Web development
  • Mobile applications
  • Software systems
  • Databases
  • Artificial Intelligence
  • Robotic Process Automation (RPA)

Programming allows organisations to automate processes, improve efficiency, process information, and support digital transformation.


KT0102: Developing Structured and Creative Thinking Skills Through Programming

Programming develops both structured thinking and creative problem-solving skills.

Structured thinking involves organising information logically and solving problems step-by-step. Programmers must carefully analyse problems before creating solutions.

Structured thinking skills include:

  • Breaking problems into smaller tasks
  • Identifying patterns
  • Following logical sequences
  • Planning solutions systematically
  • Testing and improving solutions

Creative thinking in programming involves developing innovative and efficient solutions to problems.

Programmers often:

  • Design new applications
  • Improve system performance
  • Develop automation solutions
  • Create user-friendly systems
  • Find alternative approaches to solving problems

Programming encourages critical thinking because developers must constantly analyse situations, predict outcomes, and adjust solutions based on testing results.

For example, when designing an automated process, a programmer may:

  1. Identify the task to automate
  2. Analyse how the process works
  3. Create the logic for automation
  4. Write the code
  5. Test the process
  6. Correct errors
  7. Improve performance

These skills are important in modern digital workplaces and RPA development environments.


KT0103: The Logic of Programming

Programming logic refers to the sequence of instructions and decisions used to solve problems through code.

Computers follow instructions exactly as written. Because of this, programming logic must be clear, accurate, and properly organised.

Programming logic includes:

  • Sequential instructions
  • Decision-making processes
  • Repetition through loops
  • Input and output operations
  • Data processing

Examples of logical programming structures include:

Structure Purpose
If-statements Make decisions
If-else conditions Handle alternative outcomes
Loops Repeat tasks
Functions Reuse blocks of code
Variables Store information

Programming logic allows systems to:

  • Process information automatically
  • Make decisions based on conditions
  • Repeat repetitive tasks
  • Perform calculations
  • Interact with users and systems

Strong programming logic helps developers create efficient, reliable, and accurate software applications.


KT0104: Choosing a Programming Language

Different programming languages are designed for different purposes. Developers choose languages based on the type of application being developed and business requirements.

Examples of programming languages include:

Programming Language Common Uses
Python Automation, AI, data analysis
Java Enterprise systems
JavaScript Web development
C# Application development
SQL Database management
C++ System and software development

Factors considered when choosing a programming language include:

  • Project requirements
  • Performance requirements
  • Security requirements
  • Ease of maintenance
  • Compatibility with systems
  • Availability of developer support
  • Learning difficulty

In automation and RPA environments, programming languages are important because they support scripting, workflow automation, integration, and data processing.

Some languages are easier for beginners, while others are designed for specialised systems and high-performance applications.


KT0105: Syntax

Syntax refers to the rules that define how code must be written in a programming language.

Each programming language has its own syntax rules. If syntax rules are not followed correctly, programs may fail to run or produce errors.

Examples of syntax rules include:

  • Correct spelling of commands
  • Proper punctuation
  • Correct placement of brackets
  • Proper formatting of statements
  • Correct use of keywords

Example of incorrect syntax:

</>    Python
print "Hello World"
 

Example of correct syntax:

</>    Python
print("Hello World")
 

A syntax error occurs when code does not follow the rules of the programming language.

Developers use debugging tools and testing processes to identify and correct syntax errors.

Good syntax practices improve:

  • Code readability
  • System reliability
  • Error reduction
  • Collaboration between developers

KT0106: Learning Code

Learning programming code requires practice, problem-solving, and understanding programming principles.

Developers learn programming by:

  • Studying syntax and commands
  • Writing practice programs
  • Solving coding problems
  • Reading existing code
  • Testing and debugging applications

Programming learning often begins with simple concepts such as:

  • Variables
  • Input and output
  • Conditions
  • Loops
  • Functions

As learners gain experience, they progress to more advanced concepts such as:

  • Object-oriented programming
  • Databases
  • APIs
  • Automation frameworks
  • Artificial Intelligence systems

Consistent practice is important because programming skills improve through hands-on experience and problem-solving activities.


KT0107: Installation and Set-Up

Before developers can write and run programs, they must install and configure programming environments and tools.

Programming environments may include:

  • Code editors
  • Integrated Development Environments (IDEs)
  • Compilers
  • Interpreters
  • Libraries
  • Development frameworks

Examples of common IDEs include:

  • Visual Studio Code
  • PyCharm
  • Eclipse
  • NetBeans

Installation and setup processes often include:

  1. Downloading software
  2. Installing required applications
  3. Configuring system settings
  4. Setting environment variables
  5. Testing the development environment

Correct installation and configuration are important because programming tools must function properly for software development and automation projects.

In RPA development environments, developers may also install:

  • Automation platforms
  • Bot development tools
  • Database connectors
  • Testing tools
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