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

Lesson Overview

This lesson introduces learners to cloud computing concepts, online services, and internet-based technology infrastructure used in modern digital environments. Learners will explore how cloud systems operate, how applications and data are accessed online, the benefits and risks of cloud computing, and the role cloud services play in automation, business systems, and modern IT environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain cloud computing concepts
  • Describe how cloud services operate over networks and the internet
  • Access and manage cloud-based applications and storage
  • Identify the benefits and risks of cloud computing
  • Explain different cloud service functions
  • Apply cloud computing concepts in digital environments

KT0201: Network or Internet Connection

Cloud computing depends on network and internet connectivity to provide access to online services, applications, and storage resources.

A network connection allows devices to communicate and exchange data.

The internet is a global network that connects millions of systems worldwide.

Cloud computing systems use internet connectivity to:

  • Deliver applications
  • Store data remotely
  • Enable online collaboration
  • Provide digital services

Importance of Internet Connectivity

Without internet access, most cloud services cannot function properly.

Reliable internet connectivity is important for:

  • Accessing cloud applications
  • Uploading and downloading files
  • Real-time communication
  • Remote work environments
  • Online backups

Types of Network Connections

Wired Connections

Use physical cables such as Ethernet.

Advantages:

  • Stable connectivity
  • Faster speeds
  • Reduced interference

Wireless Connections

Use Wi-Fi or mobile networks.

Advantages:

  • Mobility
  • Convenience
  • Flexible access

Mobile Internet

Uses cellular networks such as:

  • 4G
  • 5G

Mobile internet supports cloud access from smartphones and portable devices.


Bandwidth and Speed

Bandwidth refers to the amount of data transmitted over a network connection within a specific time.

Higher bandwidth improves:

  • Download speeds
  • Streaming quality
  • Cloud application performance
  • Data synchronisation

Poor network performance may cause:

  • Slow cloud applications
  • Connection failures
  • Delayed file transfers

KT0202: Manipulate, Collate, Configure, and Access Applications Online

Cloud computing allows users to work with applications and data directly through internet-connected systems.

Users can:

  • Create files
  • Edit documents
  • Configure systems
  • Store data
  • Share information
  • Access services remotely

Online Applications

Cloud-based applications operate through:

  • Web browsers
  • Mobile applications
  • Online platforms

Examples include:

  • Email services
  • Online office suites
  • Cloud storage platforms
  • Video conferencing systems
  • Project management tools

Data Manipulation

Cloud systems allow users to:

  • Edit information
  • Update records
  • Process data
  • Organise content

Data Collation

Collation refers to collecting and organising information from multiple sources.

Cloud systems simplify:

  • Team collaboration
  • Shared databases
  • Centralised information storage

Configuration

Cloud services often allow users to configure:

  • User permissions
  • Security settings
  • Storage options
  • Access controls

Remote Access

One major advantage of cloud computing is remote accessibility.

Users can access systems from:

  • Offices
  • Homes
  • Mobile devices
  • Different countries

This flexibility supports:

  • Remote work
  • Online learning
  • Distributed teams

KT0203: Providing Support Infrastructure, Applications, and Data Storage

Cloud computing provides technology resources without requiring organisations to manage all physical infrastructure themselves.

Cloud providers deliver:

  • Computing power
  • Storage
  • Applications
  • Networking services
  • Security systems

Cloud Infrastructure

Cloud infrastructure includes:

  • Servers
  • Databases
  • Networking systems
  • Virtual machines
  • Storage devices

These resources are hosted in data centres.


Cloud Applications

Cloud providers offer software services accessible online.

Examples include:

  • Online document editing
  • Customer relationship management (CRM)
  • Automation platforms
  • Data analytics tools

Cloud Storage

Cloud storage allows users to store files online instead of on local devices.

Benefits include:

  • Backup protection
  • Remote access
  • Scalability
  • Easier file sharing

Examples of cloud storage usage:

  • Saving documents online
  • Backing up mobile devices
  • Storing business databases

Scalability

Scalability refers to the ability to increase or decrease resources as needed.

Cloud systems can scale quickly to support:

  • More users
  • Larger storage requirements
  • Increased processing needs

KT0204: Benefits and Risks of Cloud Computing as well as Cloud Characteristics

Cloud computing offers many advantages but also introduces certain risks.


Benefits of Cloud Computing

Cost Efficiency

Organisations reduce costs because they do not need to purchase large amounts of hardware infrastructure.


Flexibility

Users can access systems from different locations and devices.


Scalability

Cloud services expand according to organisational needs.


Collaboration

Teams can work together online in real-time.


Backup and Recovery

Cloud systems often include automated backups and disaster recovery features.


Risks of Cloud Computing

Security Risks

Sensitive data stored online may become targets for cyberattacks.


Privacy Concerns

Improper access controls may expose confidential information.


Internet Dependency

Cloud systems rely heavily on internet access.


Downtime Risks

Cloud service outages may interrupt operations.


Data Loss

Improper management or security failures may result in data loss.


Cloud Characteristics

Cloud systems commonly provide:

  • On-demand access
  • Shared resources
  • Rapid scalability
  • Broad network access
  • Resource pooling
  • Measured services

These characteristics make cloud computing highly efficient and adaptable.


KT0205: Cloud Storage

Cloud storage is a service that stores digital information on remote servers accessible through the internet.

Users upload files to cloud servers instead of storing them only on local devices.


Advantages of Cloud Storage

Accessibility

Files can be accessed from multiple devices.

Backup Protection

Data remains protected if local devices fail.

Collaboration

Multiple users can access and edit shared files.

Scalability

Storage space can increase as needed.


Types of Data Stored in the Cloud

Cloud systems store:

  • Documents
  • Images
  • Videos
  • Databases
  • Application files
  • Backups

Security in Cloud Storage

Cloud providers use security controls such as:

  • Encryption
  • Authentication
  • Access permissions
  • Firewalls

Users also play an important role in protecting cloud data through:

  • Strong passwords
  • Multi-factor authentication
  • Secure sharing practices

Applications of Cloud Computing in Modern Technology

Cloud computing supports:

  • Business operations
  • Automation systems
  • Artificial Intelligence
  • Software development
  • Online education
  • E-commerce
  • Data analytics

Modern organisations rely heavily on cloud technologies because they improve:

  • Efficiency
  • Collaboration
  • Accessibility
  • Scalability

Cloud computing is a major component of digital transformation and 4IR technologies.

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