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:

  • Configure time-based and event-based triggers
  • Schedule unattended robots according to business requirements
  • Configure bot permissions and dependencies
  • Manage schedule settings and time zones
  • Edit, activate, deactivate, and delete schedules
  • Monitor and maintain scheduled automation activities

Overview

Scheduling is an essential part of Robotic Process Automation (RPA) because unattended robots must execute automation workflows automatically according to business requirements and operational timelines. Proper scheduling ensures that automation processes execute efficiently, reliably, and within required deadlines.

This practical lesson introduces learners to unattended robot scheduling, trigger configuration, permission management, schedule maintenance, and automation timing within RPA orchestration environments. Learners will complete practical activities involving the configuration and management of automated schedules for software robots.


Scenario: Automated Invoice and Reporting Bots

A company uses unattended software robots to process invoices, generate daily reports, and update customer records automatically outside business hours.

The automation workflows must be scheduled according to operational requirements using time-based and event-based triggers.

Learners are required to configure, manage, and maintain the schedules for the unattended robots according to the provided design specifications.


PA0101 — Determine and Set Time-Based and Event-Based Triggers

Tools/Resources

  • RPA orchestration platform
  • Workflow schedules
  • Automation environment

Activity Instructions

  1. Review the automation workflow requirements.
  2. Identify suitable trigger types for each workflow.
  3. Configure time-based triggers.
  4. Configure event-based triggers where required.
  5. Verify trigger execution settings.

Expected Outcome

Time-based and event-based triggers are configured successfully.

Evidence Required

  • Screenshot of configured triggers
  • Screenshot of scheduling settings
  • Screenshot of workflow trigger configuration

PA0102 — Ensure Bot Dependencies, Folder Privileges, and Schedule Permissions

Tools/Resources

  • RPA platform
  • User access management tools
  • Workflow configuration files

Activity Instructions

  1. Review workflow dependencies.
  2. Verify required bot dependencies are available.
  3. Obtain appropriate folder privileges.
  4. Configure “run and schedule” permissions for the bot.
  5. Verify permission settings.

Expected Outcome

Bot dependencies, privileges, and scheduling permissions are configured successfully.

Evidence Required

  • Screenshot of dependency configuration
  • Screenshot of permission settings
  • Screenshot of folder privileges

PA0103 — Select Time Zone and Set Exact Time Slots

Tools/Resources

  • RPA scheduler
  • Workflow timing requirements
  • Scheduling dashboard

Activity Instructions

  1. Select the appropriate scheduling time zone.
  2. Configure exact workflow execution times.
  3. Verify workflow timing accuracy.
  4. Save schedule configurations.

Expected Outcome

Scheduling time zones and execution slots are configured successfully.

Evidence Required

  • Screenshot of configured time zones
  • Screenshot of workflow schedules
  • Screenshot of execution timing settings

PA0104 — Enter Name, Description, and Add Bot to Activity Table

Tools/Resources

  • RPA scheduling system
  • Workflow configuration tools
  • Activity management dashboard

Activity Instructions

  1. Assign names to scheduled bots.
  2. Add workflow descriptions.
  3. Add bots to the activity or scheduling table.
  4. Verify scheduling records.

Expected Outcome

Bots are added successfully to the scheduling environment.

Evidence Required

  • Screenshot of bot names and descriptions
  • Screenshot of activity table entries
  • Screenshot of configured workflow records

PA0105 — View Scheduled Bot Details

Tools/Resources

  • Scheduling dashboard
  • Workflow monitoring tools
  • RPA orchestration platform

Activity Instructions

  1. Access scheduled workflow details.
  2. Review scheduling configurations.
  3. Verify bot execution settings.
  4. Confirm schedule accuracy.

Expected Outcome

Scheduled bot details are reviewed successfully.

Evidence Required

  • Screenshot of scheduled bot details
  • Screenshot of workflow schedules
  • Screenshot of verified configuration settings

PA0106 — Edit a Schedule

Tools/Resources

  • RPA scheduler
  • Workflow configuration dashboard
  • Scheduling tools

Activity Instructions

  1. Select an existing workflow schedule.
  2. Modify scheduling information where required.
  3. Update workflow timing or descriptions.
  4. Save updated schedule settings.
  5. Verify updated configurations.

Expected Outcome

Workflow schedules are edited successfully.

Evidence Required

  • Screenshot of edited schedules
  • Screenshot of updated workflow settings
  • Screenshot of saved scheduling changes

PA0107 — Delete a Schedule

Tools/Resources

  • Scheduling dashboard
  • Workflow management tools
  • RPA orchestration platform

Activity Instructions

  1. Identify schedules no longer required.
  2. Remove the selected workflow schedule.
  3. Confirm schedule deletion.
  4. Verify updated scheduling records.

Expected Outcome

Workflow schedules are deleted successfully where necessary.

Evidence Required

  • Screenshot of deleted schedules
  • Screenshot of updated scheduling records
  • Screenshot of schedule management activities

PA0108 — Activate or Deactivate a Schedule

Tools/Resources

  • Scheduling dashboard
  • Workflow management platform
  • Automation environment

Activity Instructions

  1. Identify workflows requiring activation or deactivation.
  2. Enable or disable workflow schedules as required.
  3. Verify updated workflow statuses.
  4. Save schedule changes.

Expected Outcome

Workflow schedules are activated or deactivated successfully.

Evidence Required

  • Screenshot of activated schedules
  • Screenshot of deactivated schedules
  • Screenshot of updated workflow statuses

Key Notes

  • Scheduling controls when unattended robots execute workflows.
  • Time-based and event-based triggers automate workflow execution.
  • Permissions and dependencies affect workflow functionality.
  • Correct time zone configuration improves scheduling accuracy.
  • Schedule maintenance improves workflow reliability.
  • Monitoring scheduled activities improves operational efficiency.
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