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:

  • Collaborate effectively with multidisciplinary teams
  • Identify automation opportunities across business departments
  • Participate in conflict resolution and teamwork activities
  • Recognise different leadership and communication styles
  • Support user involvement during automation implementation
  • Promote ethical and professional workplace collaboration

Overview

Successful Robotic Process Automation (RPA) projects require collaboration between multiple business departments such as finance, risk management, operations, customer service, and business optimisation teams. RPA developers must work professionally and ethically with colleagues from different disciplines to identify automation opportunities, improve workflows, and support organisational transformation.

This practical lesson introduces learners to multidisciplinary teamwork, collaboration techniques, stakeholder participation, conflict resolution, leadership awareness, user engagement, and employee support during automation implementation activities. Learners will complete practical activities involving collaboration across departments within automation environments.


Scenario: Cross-Department Automation Improvement Project

A business organisation plans to automate processes across several departments including finance, customer service, business optimisation, and risk management.

The project requires collaboration between RPA developers, business users, managers, analysts, and operational staff to identify workflow inefficiencies and implement automation solutions that improve operational performance.

Learners are required to collaborate ethically and effectively with colleagues from multiple departments while supporting workflow automation and organisational improvement initiatives.


PA0601 — Collaborate with Colleagues Across Departments

Tools/Resources

  • Workflow documentation
  • Communication platforms
  • Meeting records
  • Collaboration tools

Activity Instructions

  1. Participate in meetings with colleagues from different departments.
  2. Discuss workflow inefficiencies and automation opportunities.
  3. Share workflow ideas and operational recommendations.
  4. Maintain professional and respectful communication practices.
  5. Record collaboration observations and outcomes.

Expected Outcome

Collaboration with multidisciplinary teams is conducted successfully.

Evidence Required

  • Screenshot of meeting records
  • Screenshot of workflow collaboration discussions
  • Screenshot of documented workflow recommendations

PA0602 — Identify Opportunities for Workflow Automation

Tools/Resources

  • Existing business process documentation
  • Workflow analysis tools
  • Process flow diagrams

Activity Instructions

  1. Review business processes from different departments.
  2. Identify repetitive or inefficient workflow activities.
  3. Analyse areas suitable for automation.
  4. Recommend workflow improvement opportunities.
  5. Document identified automation opportunities.

Expected Outcome

Workflow automation opportunities are identified successfully.

Evidence Required

  • Screenshot of workflow analysis
  • Screenshot of identified automation opportunities
  • Screenshot of workflow improvement recommendations

PA0603 — Participate in Conflict Resolution and Team Collaboration Activities

Tools/Resources

  • Team communication tools
  • Collaboration guidelines
  • Workplace policies

Activity Instructions

  1. Participate in group discussions and teamwork activities.
  2. Address workflow disagreements professionally.
  3. Encourage constructive feedback and open communication.
  4. Support collaborative problem-solving activities.
  5. Record collaboration and conflict resolution activities.

Expected Outcome

Conflict resolution and teamwork activities are managed successfully.

Evidence Required

  • Screenshot of collaboration discussions
  • Screenshot of conflict resolution activities
  • Screenshot of teamwork records

PA0604 — Recognise Leadership Styles and Team Member Strengths

Tools/Resources

  • Team structures
  • Workflow responsibilities
  • Project management records

Activity Instructions

  1. Identify leadership and communication styles within the team.
  2. Recognise individual strengths and areas for improvement.
  3. Support task allocation according to team capabilities.
  4. Promote positive teamwork and collaboration.
  5. Record team observations and workflow responsibilities.

Expected Outcome

Leadership styles and team member strengths are recognised successfully.

Evidence Required

  • Screenshot of team role analysis
  • Screenshot of workflow responsibilities
  • Screenshot of collaboration observations

PA0605 — Support User Participation and Employee Reskilling

Tools/Resources

  • Training materials
  • Workflow demonstrations
  • User support guides

Activity Instructions

  1. Engage business users involved in workflow execution.
  2. Encourage participation in automation initiatives.
  3. Explain the benefits of workflow automation.
  4. Support employee reskilling and workflow adaptation activities.
  5. Record user participation and support activities.

Expected Outcome

Business users participate successfully in workflow automation activities.

Evidence Required

  • Screenshot of user participation activities
  • Screenshot of workflow demonstrations
  • Screenshot of employee support or training records

Key Notes

  • Collaboration improves workflow design and automation success.
  • Multidisciplinary teamwork supports organisational improvement.
  • Conflict resolution improves workplace relationships.
  • Leadership awareness improves communication and coordination.
  • User participation improves workflow adoption.
  • Employee reskilling supports organisational transformation.
Scroll to Top