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.
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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.
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Occupational Certificate: Robotic Process Automation (RPA) Developer

Lesson Overview

This lesson introduces learners to automation management within Robotic Process Automation (RPA) environments. Learners will explore how automation processes, bots, schedules, queues, users, and workflows are managed in enterprise automation systems. The lesson also examines orchestration platforms, monitoring, reporting, access control, workload management, and maintenance activities required to support reliable and scalable automation solutions.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Define automation management and explain its importance
  • Describe orchestration and centralised automation management
  • Explain scheduling and workload management
  • Describe queue management concepts
  • Explain monitoring and reporting functions
  • Describe user and access management
  • Explain maintenance and governance practices in automation environments

KT0601: Introduction to Automation Management

Automation management refers to the processes and tools used to control, monitor, organise, and maintain automation workflows and bots within an organisation.

As organisations deploy more automation solutions, managing automation effectively becomes increasingly important.

Automation management helps organisations:

  • Coordinate workflows
  • Manage bot execution
  • Monitor performance
  • Handle errors
  • Improve security
  • Ensure business continuity

Without proper automation management, organisations may experience:

  • Workflow failures
  • Resource conflicts
  • Poor performance
  • Security risks
  • Reduced reliability

Automation management is therefore essential for enterprise-scale RPA environments.


KT0602: Orchestration Platforms

An orchestration platform is a centralised system used to manage automation resources and workflows.

Orchestration platforms allow organisations to:

  • Schedule bots
  • Monitor workflows
  • Manage queues
  • Control access
  • Review logs
  • Deploy automation packages
  • Allocate resources

Orchestration improves automation scalability because multiple workflows and bots can be managed from one environment.


Features of Orchestration Platforms

Feature Purpose
Scheduling Controls when workflows run
Monitoring Tracks workflow activity
Queue Management Organises work items
Logging Records workflow events
Access Control Manages user permissions
Deployment Publishes workflows

Orchestration platforms improve operational control and workflow reliability.


KT0603: Scheduling Automation

Scheduling allows workflows and bots to run automatically at predefined times or intervals.

Scheduling is important because many business activities occur:

  • Daily
  • Weekly
  • Monthly
  • At specific times
  • During business events

Examples of scheduled automation include:

Process Schedule Example
Payroll Processing End of each month
Report Generation Daily at 18:00
Database Backup Every night
Invoice Processing Every weekday

Scheduling improves efficiency because workflows can execute automatically without manual intervention.


Types of Scheduling

Time-Based Scheduling

Automation runs according to a fixed time or calendar schedule.

Event-Based Scheduling

Automation begins when a specific event occurs.

Example:

  • A file appears in a folder
  • An email arrives
  • A database record changes

KT0604: Queue Management

A queue is a collection of work items waiting to be processed by bots.

Queues are important in automation because workflows often process large volumes of transactions.

Examples of queue items include:

  • Invoices
  • Customer requests
  • Claims
  • Emails
  • Support tickets

Benefits of Queues

Queues improve:

  • Work distribution
  • Scalability
  • Error handling
  • Transaction tracking
  • Resource management

Multiple bots may process items from the same queue simultaneously.


Queue Statuses

Queue items may have statuses such as:

Status Meaning
New Waiting for processing
In Progress Currently being processed
Successful Completed correctly
Failed Processing error occurred

Queue management improves workflow organisation and processing efficiency.


KT0605: Monitoring Automation Workflows

Monitoring involves tracking workflow execution and automation performance.

Monitoring helps organisations:

  • Detect workflow failures
  • Identify performance problems
  • Measure execution times
  • Review bot activity
  • Improve operational visibility

Monitoring systems may display:

  • Workflow status
  • Error reports
  • Bot utilisation
  • Queue statistics
  • Process completion rates

Continuous monitoring improves workflow reliability and helps organisations respond quickly to issues.


KT0606: Logging and Reporting

Logs record workflow events and activities during automation execution.

Logs may contain:

  • Timestamps
  • Bot actions
  • Error messages
  • User activity
  • Workflow status updates

Logs are important because they support:

  • Troubleshooting
  • Auditing
  • Performance analysis
  • Compliance
  • Security reviews

Reporting

Automation reports provide information about workflow performance and operational results.

Reports may include:

  • Number of processed transactions
  • Success rates
  • Failure rates
  • Execution times
  • Queue performance

Reporting helps organisations evaluate automation effectiveness and identify improvement opportunities.


KT0607: User and Access Management

Automation environments often contain sensitive systems and business information.

User and access management controls who can:

  • Create workflows
  • Run bots
  • View reports
  • Modify configurations
  • Access logs
  • Manage credentials

User Roles

Different users may have different permissions.

Examples include:

Role Responsibility
Developer Builds workflows
Administrator Manages platform settings
Business User Runs workflows
Auditor Reviews logs and compliance

Access Control

Access control improves:

  • Security
  • Accountability
  • Compliance
  • Operational control

Organisations must ensure that users only access the functions necessary for their responsibilities.


KT0608: Automation Maintenance

Automation maintenance involves supporting and updating workflows after deployment.

Maintenance activities may include:

  • Fixing workflow errors
  • Updating selectors
  • Modifying business rules
  • Improving performance
  • Updating integrations
  • Responding to system changes

Maintenance is important because:

  • Applications change
  • Business processes evolve
  • Systems receive updates
  • New requirements emerge

Well-maintained workflows remain reliable and effective over time.


KT0609: Governance in Automation Environments

Governance refers to the rules, standards, and policies used to manage automation responsibly.

Automation governance helps organisations ensure that workflows:

  • Follow organisational standards
  • Meet compliance requirements
  • Operate securely
  • Maintain quality
  • Support business goals

Governance may include:

  • Naming standards
  • Documentation requirements
  • Security policies
  • Approval processes
  • Change management procedures

Strong governance improves consistency and reduces operational risk.


KT0610: Automation Management in Enterprise Environments

Large organisations often use enterprise automation environments containing:

  • Multiple bots
  • Many workflows
  • Large transaction volumes
  • Multiple departments
  • Shared resources

Enterprise automation management focuses on:

  • Scalability
  • Reliability
  • Security
  • Resource allocation
  • Operational efficiency

Enterprise orchestration and management tools help organisations coordinate automation activities across the business.


Best Practices for Automation Management

Good automation management practices improve workflow stability and operational efficiency.

Best practices include:

Monitor Workflows Continuously

Regular monitoring helps identify issues quickly.


Use Clear Access Controls

Only authorised users should access automation systems.


Maintain Proper Documentation

Documentation improves maintenance and governance.


Review Logs Regularly

Logs help identify trends and troubleshoot problems.


Schedule Maintenance Activities

Regular updates improve workflow reliability.


Implement Governance Standards

Governance improves consistency and compliance.

Good management practices help organisations maintain scalable and reliable automation environments.


Key Notes

  • Automation management controls and supports automation environments.
  • Orchestration platforms centralise workflow and bot management.
  • Scheduling allows workflows to run automatically.
  • Queues organise work items for processing.
  • Monitoring tracks workflow performance and activity.
  • Logs and reports support troubleshooting and operational analysis.
  • User and access management improve security and accountability.
  • Maintenance keeps workflows reliable and updated.
  • Governance ensures standardisation, compliance, and operational control.
  • Enterprise automation environments require scalable management practices.
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