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.
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.
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.
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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.
0/3
Occupational Certificate: Robotic Process Automation (RPA) Developer

Lesson Overview

This lesson introduces learners to web technologies, internet concepts, and online communication systems used in modern digital environments. Learners will explore websites, web browsers, web servers, domain names, internet protocols, search engines, and online communication technologies that support business operations, cloud systems, and automation platforms.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain internet and web technology concepts
  • Identify components of websites and web systems
  • Describe the functions of web browsers and web servers
  • Explain domain names and internet protocols
  • Describe the role of search engines
  • Identify common online communication technologies

KT0601: Introduction to the Internet

The internet is a global network of interconnected computers and devices that communicate and exchange information.

The internet allows users to:

  • Access websites
  • Send emails
  • Stream media
  • Share files
  • Use cloud services
  • Communicate online

Modern businesses rely heavily on internet technologies for:

  • Communication
  • E-commerce
  • Automation
  • Cloud computing
  • Remote work

How the Internet Works

Devices connect to the internet through:

  • Internet Service Providers (ISPs)
  • Routers
  • Network infrastructure

Information travels across networks using:

  • Data packets
  • Communication protocols
  • Servers and clients

Internet Services

Common internet services include:

  • Websites
  • Email
  • Video conferencing
  • Online storage
  • Social media
  • Streaming platforms

KT0602: Websites and Web Pages

A website is a collection of related web pages accessible through the internet.

Websites provide information, services, and online functionality.

Examples include:

  • Business websites
  • Online stores
  • Educational platforms
  • News websites
  • Government portals

Web Pages

A web page is a single document displayed within a web browser.

Web pages may contain:

  • Text
  • Images
  • Videos
  • Links
  • Forms
  • Interactive content

Static vs Dynamic Websites

Static Websites

Display fixed content that changes rarely.

Dynamic Websites

Generate changing content based on:

  • User input
  • Databases
  • Real-time information

Most modern websites are dynamic.


KT0603: Web Browsers and Web Servers

Web browsers and web servers work together to deliver websites to users.


Web Browsers

A web browser is software used to access and display websites.

Examples include:

  • Google Chrome
  • Mozilla Firefox
  • Microsoft Edge
  • Safari

Browser Functions

Browsers:

  • Display web pages
  • Process web content
  • Run scripts
  • Manage downloads
  • Store browsing history

Web Servers

A web server stores and delivers website files to users over the internet.

When users visit a website:

  1. The browser sends a request
  2. The server processes the request
  3. The server sends website data back to the browser

Examples of Web Server Functions

  • Hosting websites
  • Managing website traffic
  • Processing requests
  • Delivering online applications

KT0604: Domain Names and IP Addresses

Every device connected to the internet has an IP address.

An IP address is a numerical identifier used to locate devices on networks.

Example:

 
192.168.1.1
 

Domain Names

Domain names are human-readable website addresses.

Examples:

  • google.com
  • openai.com
  • amazon.com

Domain names make websites easier to remember.


Domain Name System (DNS)

DNS converts domain names into IP addresses.

Without DNS, users would need to remember numeric IP addresses for websites.


KT0605: Internet Protocols

Protocols are rules that allow devices and systems to communicate over networks.


Common Internet Protocols

Protocol Function
HTTP Transfers web pages
HTTPS Secure web communication
FTP File transfers
SMTP Email sending
TCP/IP Core internet communication

HTTP and HTTPS

HTTP

Transfers website data between browsers and servers.

HTTPS

Provides secure encrypted communication.

HTTPS improves:

  • Privacy
  • Security
  • Data protection

KT0606: Search Engines

Search engines help users locate information on the internet.

Examples include:

  • Google
  • Bing
  • Yahoo

How Search Engines Work

Search engines:

  1. Crawl websites
  2. Index information
  3. Rank search results
  4. Display relevant content

Importance of Search Engines

Search engines help users:

  • Find information quickly
  • Research topics
  • Access websites
  • Locate online services

Businesses use search engines to:

  • Improve visibility
  • Market products
  • Reach customers

KT0607: Online Communication Technologies

The internet supports many forms of online communication.


Email

Electronic mail allows users to send digital messages.


Video Conferencing

Platforms support:

  • Online meetings
  • Virtual classrooms
  • Remote collaboration

Examples:

  • Zoom
  • Microsoft Teams
  • Google Meet

Instant Messaging

Allows real-time text communication.

Examples:

  • WhatsApp
  • Telegram
  • Slack

Social Media Platforms

Support:

  • Content sharing
  • Communication
  • Marketing
  • Collaboration

Importance of Web Technologies in Modern Systems

Web technologies support:

  • E-commerce
  • Cloud computing
  • Remote work
  • Automation platforms
  • Online education
  • Digital communication

Modern organisations rely heavily on internet technologies to:

  • Deliver services
  • Communicate globally
  • Manage information
  • Support digital transformation

Understanding web technologies helps learners:

  • Navigate digital systems
  • Use online services effectively
  • Support business technologies
  • Understand internet-based applications

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

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