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:

  • Interpret a Solution Design Document (SDD)
  • Develop software robot workflows
  • Configure automation activities and actions
  • Build reusable workflow components
  • Test workflow execution
  • Debug and improve automation solutions

Overview

Solution Design Documents (SDDs) define the technical design, workflow structure, system interactions, and implementation requirements for Robotic Process Automation (RPA) solutions. Software robots are developed according to the specifications and workflow requirements contained in the SDD.

This practical lesson introduces learners to workflow development, automation activities, reusable components, process execution, testing, and debugging within RPA development environments. Learners will complete practical activities involving the development of software robot workflows according to an SDD.


Scenario: Automated Invoice Capture and Processing System

A business organisation requires an RPA solution that captures invoice information from emails, validates invoice details, updates records in a financial system, and generates confirmation reports automatically.

Learners are provided with a Solution Design Document (SDD) that specifies the workflow logic, automation steps, exception handling, and system interactions for the software robot.

Learners are required to build and test the software robot workflows according to the SDD requirements.


PA0301 — Interpret the Solution Design Document (SDD)

Tools/Resources

  • Solution Design Document (SDD)
  • Workflow diagrams
  • RPA platform documentation

Activity Instructions

  1. Review the provided SDD.
  2. Identify workflow components and automation activities.
  3. Analyse inputs, outputs, and system interactions.
  4. Record implementation requirements.
  5. Verify workflow understanding.

Expected Outcome

The SDD is interpreted successfully for workflow development.

Evidence Required

  • Screenshot of analysed SDD
  • Screenshot of identified workflow components
  • Screenshot of implementation notes

PA0302 — Build Software Robot Workflows

Tools/Resources

  • RPA development platform
  • Workflow designer
  • SDD documentation

Activity Instructions

  1. Create workflows according to the SDD.
  2. Configure automation activities and actions.
  3. Define process logic and execution sequences.
  4. Save workflow files correctly.
  5. Verify workflow configuration.

Expected Outcome

Software robot workflows are developed successfully.

Evidence Required

  • Screenshot of workflow development
  • Screenshot of configured activities
  • Screenshot of saved workflow files

PA0303 — Create Reusable Workflow Components

Tools/Resources

  • RPA platform
  • Component libraries
  • Workflow templates

Activity Instructions

  1. Identify workflow sections suitable for reuse.
  2. Create reusable automation components.
  3. Configure reusable actions or modules.
  4. Integrate reusable components into workflows.
  5. Verify workflow functionality.

Expected Outcome

Reusable workflow components are created successfully.

Evidence Required

  • Screenshot of reusable components
  • Screenshot of integrated workflows
  • Screenshot of component configurations

PA0304 — Test Workflow Execution

Tools/Resources

  • RPA platform
  • Test data
  • Logging tools

Activity Instructions

  1. Execute the developed workflows.
  2. Monitor workflow execution steps.
  3. Verify outputs and automation behaviour.
  4. Record workflow test results.
  5. Save test evidence.

Expected Outcome

Workflow execution is tested successfully.

Evidence Required

  • Screenshot of workflow execution
  • Screenshot of successful outputs
  • Screenshot of workflow logs

PA0305 — Debug and Improve the Automation Solution

Tools/Resources

  • RPA platform
  • Debugging tools
  • Error logs

Activity Instructions

  1. Identify workflow or automation errors.
  2. Correct identified issues.
  3. Optimise workflow execution where necessary.
  4. Retest the corrected automation solution.
  5. Verify successful execution.

Expected Outcome

Automation workflows are debugged and improved successfully.

Evidence Required

  • Screenshot of identified workflow errors
  • Screenshot of corrected workflows
  • Screenshot of successful retesting

Key Notes

  • SDDs define technical workflow implementation requirements.
  • RPA workflows automate business processes systematically.
  • Reusable components improve development efficiency.
  • Workflow testing verifies automation behaviour.
  • Debugging improves workflow reliability.
  • Structured workflow design improves maintainability.
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