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 Outcomes

After completing this practical lesson, learners will be able to:

  • Debug software robot workflows and source code
  • Test workflow connectivity and authentication
  • Analyse workflow performance issues
  • Validate end-to-end automation execution
  • Investigate firewall and configuration problems
  • Resolve workflow interruptions and bot failures

Overview

Robotic Process Automation (RPA) solutions operating in production environments may experience workflow failures, connectivity issues, authentication problems, performance delays, or configuration errors. Effective troubleshooting ensures that automation workflows continue operating reliably and efficiently within business environments.

This practical lesson introduces learners to debugging techniques, workflow diagnostics, connectivity testing, authentication troubleshooting, configuration management, and performance optimisation within RPA environments. Learners will complete practical activities involving the identification and resolution of workflow and bot performance issues.


Scenario: Troubleshooting an Invoice Processing Bot

A company uses an unattended software robot to process invoices and update financial systems automatically.

Users have reported that the bot is experiencing workflow interruptions, failed connections, authentication issues, and inconsistent performance during execution.

Learners are required to investigate the workflow issues, debug the automation solution, test connectivity and authentication settings, and restore workflow functionality.


PA0101 — Use Software to Debug the Source Code of the Bot

Tools/Resources

  • RPA development platform
  • Debugging tools
  • Workflow source code
  • Error logs

Activity Instructions

  1. Open the affected workflow or bot source code.
  2. Identify workflow errors or bugs.
  3. Use debugging tools to trace workflow execution.
  4. Correct identified workflow or logic issues.
  5. Save updated workflow changes.

Expected Outcome

The bot source code is debugged successfully and workflow errors are corrected.

Evidence Required

  • Screenshot of debugging activities
  • Screenshot of identified workflow errors
  • Screenshot of corrected workflow logic

PA0102 — Test Connectivity of the Bot

Tools/Resources

  • Network testing tools
  • RPA platform
  • Workflow environment

Activity Instructions

  1. Review workflow connectivity requirements.
  2. Test the bot’s connection to systems or services.
  3. Identify failed or interrupted connections.
  4. Record connectivity test results.
  5. Verify successful workflow communication.

Expected Outcome

Bot connectivity is tested successfully and communication issues are identified.

Evidence Required

  • Screenshot of connectivity tests
  • Screenshot of network results
  • Screenshot of verified connections

PA0103 — Test Authentication as a Possible Problem

Tools/Resources

  • Authentication settings
  • Workflow credentials
  • Security logs

Activity Instructions

  1. Review authentication configurations and credentials.
  2. Test user access and authentication processes.
  3. Identify failed authentication attempts.
  4. Correct credential or access configuration issues.
  5. Verify successful authentication.

Expected Outcome

Authentication issues are identified and resolved successfully.

Evidence Required

  • Screenshot of authentication settings
  • Screenshot of failed or successful login tests
  • Screenshot of corrected credential configurations

PA0104 — Validate End-to-End User Experience

Tools/Resources

  • RPA workflows
  • Test datasets
  • Monitoring tools

Activity Instructions

  1. Execute the complete workflow process.
  2. Monitor workflow performance from start to finish.
  3. Verify workflow outputs and user interactions.
  4. Identify interruptions or delays.
  5. Record workflow observations.

Expected Outcome

The end-to-end workflow experience is validated successfully.

Evidence Required

  • Screenshot of workflow execution
  • Screenshot of workflow outputs
  • Screenshot of workflow validation results

PA0105 — Check Firewall Traces on Failed Connections

Tools/Resources

  • Firewall logs
  • Monitoring tools
  • Network configuration settings

Activity Instructions

  1. Review firewall logs and traces.
  2. Identify blocked or failed workflow connections.
  3. Analyse firewall-related workflow interruptions.
  4. Record identified issues.
  5. Verify corrected connectivity behaviour.

Expected Outcome

Firewall-related workflow issues are identified successfully.

Evidence Required

  • Screenshot of firewall logs
  • Screenshot of failed connection traces
  • Screenshot of corrected connectivity settings

PA0106 — Check Bot Configuration Issues

Tools/Resources

  • Workflow configuration files
  • RPA orchestration platform
  • Environment settings

Activity Instructions

  1. Review workflow and bot configuration settings.
  2. Identify incorrect or incomplete configurations.
  3. Correct workflow configuration issues.
  4. Save updated workflow settings.
  5. Verify workflow functionality.

Expected Outcome

Bot configuration issues are identified and corrected successfully.

Evidence Required

  • Screenshot of workflow configuration settings
  • Screenshot of corrected configurations
  • Screenshot of verified workflow settings

PA0107 — Check Channel Configuration Parameters or Interrupted Service

Tools/Resources

  • Communication channel settings
  • Workflow environment
  • Service monitoring tools

Activity Instructions

  1. Review workflow communication channel settings.
  2. Identify interrupted services or incorrect parameters.
  3. Correct channel configuration issues.
  4. Verify workflow communication functionality.
  5. Save updated configuration settings.

Expected Outcome

Channel configuration issues are corrected successfully.

Evidence Required

  • Screenshot of communication settings
  • Screenshot of corrected parameters
  • Screenshot of verified workflow communication

PA0108 — Ensure Configuration Files Were Copied

Tools/Resources

  • Workflow configuration files
  • File management tools
  • RPA platform

Activity Instructions

  1. Verify required configuration files are available.
  2. Confirm configuration files were copied correctly.
  3. Check workflow access to configuration files.
  4. Correct missing or inaccessible file issues.
  5. Save updated workflow records.

Expected Outcome

Configuration files are verified and accessible successfully.

Evidence Required

  • Screenshot of configuration files
  • Screenshot of verified file locations
  • Screenshot of corrected file access settings

Key Notes

  • Debugging identifies workflow and logic errors.
  • Connectivity testing verifies workflow communication.
  • Authentication problems affect workflow execution.
  • Firewall settings may interrupt workflow communication.
  • Correct configuration improves workflow reliability.
  • End-to-end validation improves user experience and workflow stability.
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