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

Lesson Overview

This lesson introduces learners to structured problem-solving processes used by IT professionals in computing, automation, and digital support environments. Learners will explore how to identify problems, determine causes, test possible solutions, implement corrective actions, verify functionality, and document outcomes within technology systems and business operations.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Identify and define technical problems
  • Analyse possible causes of problems
  • Test systems to determine root causes
  • Develop and implement problem-solving plans
  • Verify whether solutions are successful
  • Apply preventative measures to reduce recurring problems
  • Document troubleshooting activities and results

KT0101: Identification of the Problem

Problem identification is the first and most important step in troubleshooting and technical support. Before a solution can be implemented, the actual problem must be clearly understood and defined.

In IT environments, problems may occur in:

  • Computer hardware
  • Software applications
  • Networks
  • Databases
  • Automation systems
  • Cloud services
  • Security systems

Incorrect problem identification often leads to:

  • Wasted time
  • Incorrect solutions
  • System downtime
  • Increased operational costs

Common Signs of Technical Problems

Technical problems may appear in different ways, including:

  • Slow system performance
  • Application crashes
  • Network connection failures
  • Incorrect outputs
  • Error messages
  • Security warnings
  • Failed automation processes

Information Gathering

IT professionals gather information before attempting solutions.

Common information sources include:

  • User reports
  • Error messages
  • System logs
  • Monitoring tools
  • Screenshots
  • Performance reports

Asking Questions

Effective questioning helps identify the nature of the problem.

Examples include:

  • When did the problem start?
  • What changes were made recently?
  • Does the issue affect all users?
  • What error messages appear?
  • Can the problem be reproduced?

KT0102: Establishing a Probable Cause

Once the problem has been identified, the next step is determining the most likely cause.

A probable cause is a possible explanation for why the problem occurred.

IT professionals analyse:

  • Symptoms
  • System behavior
  • Recent changes
  • Error patterns
  • User activities

Common Causes of IT Problems

Hardware Problems

  • Damaged components
  • Power failures
  • Overheating
  • Faulty storage devices

Software Problems

  • Corrupted files
  • Incorrect configurations
  • Compatibility issues
  • Missing updates

Network Problems

  • Connectivity failures
  • Incorrect IP settings
  • Firewall restrictions
  • Weak wireless signals

Human Errors

  • Incorrect input
  • Misconfiguration
  • Accidental deletion
  • Weak passwords

Root Cause Analysis

Root cause analysis helps identify the underlying reason for a problem rather than only addressing symptoms.

For example:
A printer may stop working because:

  • The cable is disconnected
  • The driver is missing.
  • The printer queue is full

Identifying the true cause prevents repeated failures.


KT0103: Testing to Determine the Cause

Testing helps confirm whether the suspected cause is correct.

IT professionals perform controlled tests to isolate the problem.


Common Testing Methods

Reproducing the Problem

Attempting to recreate the issue consistently.

Swapping Components

Replacing suspected hardware with working components.

Reviewing Logs

Checking system logs for error messages or unusual activity.

Testing Network Connections

Using commands and tools to confirm connectivity.

Running Diagnostic Tools

Using software utilities to identify faults.


Importance of Testing

Testing helps:

  • Confirm the actual problem
  • Avoid incorrect solutions
  • Reduce unnecessary repairs
  • Improve troubleshooting accuracy

Testing should be performed carefully to avoid creating additional problems within the system.


KT0104: Establishing a Plan to Resolve the Problem

After identifying the cause, IT professionals develop a structured plan to solve the problem.

A good troubleshooting plan should:

  • Be logical
  • Minimise risks
  • Protect data
  • Reduce downtime
  • Follow organisational procedures

Factors to Consider

System Impact

Will the solution affect users or services?

Backup Requirements

Should data be backed up before changes are made?

Security Risks

Will the solution affect security settings?

Time Requirements

How long will the repair or fix take?


Example of a Troubleshooting Plan

Problem:
A business application crashes repeatedly.

Possible solution plan:

  1. Backup system data
  2. Check error logs
  3. Update application software
  4. Test functionality
  5. Monitor performance

Planning improves efficiency and reduces operational disruptions.


KT0105: Implementing Your Solution

Once the plan has been approved, the solution is implemented.

Implementation involves applying corrective actions to fix the problem.


Examples of Corrective Actions

  • Restarting systems
  • Replacing hardware
  • Updating software
  • Changing configurations
  • Restoring backups
  • Resetting passwords
  • Reconfiguring networks

Change Management

Many organisations follow change management procedures to:

  • Control system changes
  • Reduce risks
  • Protect operations
  • Maintain documentation

Poorly managed changes may create additional problems.


Safety and Security

During implementation, IT professionals must:

  • Protect sensitive data
  • Follow security procedures
  • Minimise downtime
  • Avoid damaging systems

KT0106: Verifying Functionality

After implementing the solution, systems must be tested again to confirm that the problem has been resolved successfully.

Verification ensures:

  • The original issue is fixed.
  • No additional issues were created.
  • Systems operate correctly

Verification Activities

Functional Testing

Checking whether the system performs correctly.

User Testing

Allowing users to confirm the issue is resolved.

Performance Monitoring

Monitoring system behaviour after changes.

Error Checking

Confirming that previous errors no longer appear.


Importance of Verification

Without verification:

  • Problems may continue unnoticed.
  • New errors may remain undetected.
  • Business operations may still be affected.

Verification is an essential part of professional troubleshooting processes.


KT0107: Implementing Preventive Measures

Preventative measures help reduce the likelihood of future problems.

Instead of only fixing current issues, IT professionals also improve systems to prevent recurrence.


Examples of Preventive Measures

  • Installing updates regularly
  • Improving security controls
  • Replacing outdated hardware
  • Training users
  • Creating backups
  • Monitoring systems continuously

Benefits of Preventive Measures

Preventative actions help organisations:

  • Reduce downtime
  • Improve security
  • Increase reliability
  • Improve system performance
  • Lower maintenance costs

Preventive maintenance is important in:

  • Automation systems
  • Networks
  • Databases
  • Cloud environments
  • Cybersecurity systems

KT0108: Documenting Results

Documentation is an important part of problem-solving and technical support.

IT professionals document the following:

  • Problems identified
  • Causes discovered
  • Tests performed
  • Solutions implemented
  • Verification results
  • Preventative measures applied

Benefits of Documentation

Documentation helps organisations:

  • Maintain records
  • Share knowledge
  • Train staff
  • Improve future troubleshooting
  • Meet compliance requirements

Examples of Documentation

  • Incident reports
  • Troubleshooting logs
  • Maintenance records
  • Change management reports
  • System audit records

Good documentation improves communication and supports efficient IT operations.

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