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 computing knowledge required in modern digital and Fourth Industrial Revolution (4IR) environments. Learners will explore basic programming concepts, JavaScript, PHP, web technologies, databases, and computing systems used in software development and digital business environments. The lesson focuses on understanding foundational computing concepts used in modern organisations and Robotic Process Automation (RPA) environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain basic computing knowledge concepts
  • Describe JavaScript and its applications
  • Explain PHP and web technologies
  • Differentiate between SQL and NoSQL databases
  • Describe web technologies and their importance
  • Explain the role of computing knowledge in modern workplaces

KT0201: Introduction to Computing Knowledge

Computing knowledge refers to understanding computer systems, software, programming, and digital technologies used in modern environments.

Computing knowledge supports:

  • Software development
  • Data management
  • Automation
  • Communication
  • Digital business operations

Modern organisations depend heavily on computing technologies to operate efficiently.


Importance of Computing Knowledge

Computing knowledge helps individuals:

  • Use digital systems effectively
  • Develop software solutions
  • Understand web technologies
  • Support digital transformation
  • Improve problem solving

Computing skills are increasingly important in 4IR workplaces.


KT0202: JavaScript

JavaScript is a programming language used to add interactivity and dynamic features to websites.


Functions of JavaScript

JavaScript allows websites to:

  • Respond to user actions
  • Validate forms
  • Display animations
  • Update content dynamically
  • Improve user experiences

JavaScript is widely used in web development.


Applications of JavaScript

Examples include:

Application Example
Interactive Forms Online registration forms
Web Animations Interactive graphics
Games Browser-based games
Dynamic Websites Live content updates

JavaScript improves website functionality and interactivity.


KT0203: PHP in Web Technology

PHP stands for:

“PHP: Hypertext Pre-processor”

PHP is a widely used open-source scripting language executed on servers.


Functions of PHP

PHP is used to:

  • Develop websites
  • Process forms
  • Connect to databases
  • Generate dynamic content
  • Manage web applications

PHP scripts run on the server before information is displayed to users.


Advantages of PHP

PHP offers:

  • Open-source access
  • Flexibility
  • Server-side functionality
  • Database integration

PHP is commonly used in web application development.


KT0204: SQL and NoSQL Databases

Databases store and manage information digitally.

Two common database types are:

  • SQL databases
  • NoSQL databases

SQL Databases

SQL stands for Structured Query Language.

SQL databases:

  • Store structured data
  • Use tables and rows
  • Follow fixed schemas

Examples include:

  • MySQL
  • PostgreSQL
  • Microsoft SQL Server

NoSQL Databases

NoSQL databases are designed for flexible and large-scale data storage.

NoSQL databases:

  • Handle unstructured data
  • Use flexible data models
  • Support scalability

Examples include:

  • MongoDB
  • Cassandra
  • Firebase

Difference Between SQL and NoSQL

SQL NoSQL
Structured data Unstructured data
Table-based Flexible models
Fixed schema Dynamic schema
Relational Non-relational

Different databases are used according to organisational needs.


KT0205: Web Technologies

Web technologies are technologies used to create and manage websites and web applications.


Examples of Web Technologies

Examples include:

  • HTML
  • CSS
  • JavaScript
  • PHP
  • Web servers
  • Databases

These technologies work together to create functional websites and online systems.


Front-End and Back-End Technologies

Front-End Technologies

Front-end technologies manage what users see and interact with.

Examples:

  • HTML
  • CSS
  • JavaScript

Back-End Technologies

Back-end technologies manage server-side operations and databases.

Examples:

  • PHP
  • SQL databases
  • Web servers

Together, front-end and back-end technologies create complete web applications.


KT0206: Computing Knowledge in Modern Workplaces

Modern organisations use computing technologies to support:

  • Communication
  • Automation
  • Data management
  • Business operations
  • Software development

Computing knowledge is essential in digital and RPA environments.


Computing and Digital Transformation

Digital transformation depends on computing systems and technologies.

Examples include:

  • Cloud computing
  • Web applications
  • Automation systems
  • Data analytics

Organisations increasingly rely on computing skills to remain competitive.


KT0207: Importance of Computing Knowledge

Computing knowledge supports:

  • Innovation
  • Problem solving
  • Software development
  • Automation
  • Digital communication

Employees with computing knowledge are better prepared for modern technology-driven workplaces.


Key Notes

  • Computing knowledge supports modern digital operations.
  • JavaScript adds interactivity to websites.
  • PHP is a server-side scripting language used in web development.
  • SQL databases use structured data and tables.
  • NoSQL databases support flexible and scalable data storage.
  • Web technologies are used to develop websites and web applications.
  • Computing knowledge is important in software development and digital transformation.
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