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 important South African legislation and current trends that affect Robotic Process Automation (RPA), digital workplaces, and business operations. Learners will explore the Labour Relations Act (LRA), Protection of Personal Information Act (POPIA), Broad-Based Black Economic Empowerment (B-BBEE), Basic Conditions of Employment Act (BCEA), Skills Development Act (SDA), and current trends influencing automation and digital transformation. The lesson also examines how organisations ensure legal compliance, ethical practice, employee protection, and responsible automation implementation within modern business environments.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the purpose of the Labour Relations Act (LRA)
  • Describe the importance of POPIA in automation environments
  • Explain the purpose of B-BBEE
  • Describe the Basic Conditions of Employment Act (BCEA)
  • Explain the Skills Development Act (SDA)
  • Describe current trends influencing RPA and digital transformation
  • Explain the relationship between legislation and responsible automation

KT0201: Labour Relations Act (LRA)

The Labour Relations Act (LRA) is South African legislation designed to regulate relationships between employers and employees.

The purpose of the LRA is to promote:

  • Fair labour practices
  • Workplace stability
  • Employee rights
  • Dispute resolution
  • Collective bargaining

The LRA is important in automation environments because organisations introducing automation technologies may affect:

  • Job roles
  • Working conditions
  • Employee responsibilities
  • Organisational structures

Objectives of the LRA

The LRA aims to:

  • Protect workers and employers
  • Promote fair labour practices
  • Support collective bargaining
  • Prevent unfair dismissals
  • Encourage workplace dispute resolution

Automation and the LRA

When organisations implement RPA systems, they must ensure that:

  • Employees are treated fairly
  • Labour rights are respected
  • Workplace changes follow legal procedures
  • Employee consultations occur where necessary

Automation should not violate employee rights protected under labour legislation.


KT0202: Protection of Personal Information Act (POPIA)

The Protection of Personal Information Act (POPIA) regulates how organisations collect, store, process, and share personal information.

POPIA is extremely important in RPA environments because bots often process sensitive information such as:

  • Customer records
  • Employee information
  • Financial data
  • Contact details
  • Identification numbers

Purpose of POPIA

POPIA aims to:

  • Protect personal information
  • Promote privacy rights
  • Prevent misuse of data
  • Improve data security
  • Ensure responsible information processing

Personal Information

Examples of personal information include:

Personal Information Example
Names Customer names
Contact Details Phone numbers
Identity Information ID numbers
Financial Information Banking details

POPIA and Automation

Automation systems must ensure that:

  • Data is processed lawfully
  • Information is protected
  • Access is controlled
  • Sensitive data is secured
  • Information is not shared improperly

Failure to comply with POPIA may result in:

  • Legal penalties
  • Reputation damage
  • Security incidents
  • Financial losses

KT0203: Broad-Based Black Economic Empowerment (B-BBEE)

Broad-Based Black Economic Empowerment (B-BBEE) is legislation aimed at improving economic participation and opportunities for historically disadvantaged groups in South Africa.

B-BBEE promotes:

  • Economic inclusion
  • Skills development
  • Employment equity
  • Supplier development
  • Ownership participation

B-BBEE and Automation

When implementing automation technologies, organisations should consider:

  • Skills development opportunities
  • Employee training
  • Inclusive workplace practices
  • Technology access
  • Workforce transformation

Automation should support economic participation and responsible organisational growth.


Elements of B-BBEE

Common B-BBEE focus areas include:

Element Purpose
Ownership Participation in businesses
Skills Development Employee training
Enterprise Development Support for businesses
Employment Equity Workplace inclusion

Automation projects should align with organisational transformation goals.


KT0204: Basic Conditions of Employment Act (BCEA)

The Basic Conditions of Employment Act (BCEA) regulates minimum employment conditions in South Africa.

The BCEA establishes standards relating to:

  • Working hours
  • Leave
  • Overtime
  • Employment contracts
  • Remuneration
  • Workplace conditions

Purpose of the BCEA

The BCEA aims to:

  • Protect employees
  • Promote fair working conditions
  • Regulate employment practices
  • Improve workplace standards

BCEA and Automation

Organisations implementing automation systems must ensure that:

  • Employment conditions remain lawful
  • Workplace policies remain compliant
  • Employees are treated fairly
  • Labour requirements are followed

Automation does not remove the responsibility to comply with employment legislation.


KT0205: Skills Development Act (SDA)

The Skills Development Act (SDA) promotes skills development and workforce training in South Africa.

The SDA aims to:

  • Improve employee skills
  • Increase workplace productivity
  • Support economic growth
  • Encourage training and education
  • Develop workforce capabilities

SDA and Automation

Automation technologies change workplace skill requirements.

Employees may require training in:

  • Digital literacy
  • Automation systems
  • RPA tools
  • Data handling
  • Workflow management

Organisations should support reskilling and upskilling initiatives when introducing automation technologies.


Benefits of Skills Development

Benefit Description
Improved Productivity Better employee performance
Workforce Adaptability Employees adjust to technology
Career Development Improved employment opportunities
Business Growth Better operational capability

Skills development helps organisations prepare employees for digital transformation environments.


KT0206: Current Trends

Modern business environments continue evolving because of digital transformation and automation technologies.

Current trends influencing RPA and digital workplaces include:

  • Artificial Intelligence (AI)
  • Intelligent automation
  • Cloud computing
  • Data analytics
  • Hybrid work environments
  • Cybersecurity awareness
  • Digital skills development

Intelligent Automation

Intelligent automation combines:

  • RPA
  • Artificial Intelligence
  • Machine Learning
  • Data analytics

This allows automation systems to perform more advanced tasks and decision-making activities.


Increased Demand for Digital Skills

Organisations increasingly require employees with skills in:

  • Automation
  • Data analysis
  • Cybersecurity
  • Workflow management
  • Digital systems

Continuous learning is becoming increasingly important in modern workplaces.


Ethical and Governance Trends

Organisations are placing greater focus on:

  • Responsible automation
  • Data privacy
  • Governance
  • Compliance
  • Ethical technology use

Businesses must ensure that automation technologies are used responsibly and legally.


Legislation and Responsible Automation

Legislation plays an important role in ensuring that automation technologies are implemented responsibly.

Organisations must ensure that automation systems:

  • Protect employee rights
  • Maintain privacy
  • Follow labour laws
  • Support skills development
  • Promote ethical business practices

Responsible automation improves:

  • Trust
  • Compliance
  • Operational stability
  • Workforce sustainability

Key Notes

  • The LRA regulates labour relations and fair workplace practices.
  • POPIA protects personal information and privacy.
  • B-BBEE promotes economic inclusion and transformation.
  • The BCEA regulates minimum employment conditions.
  • The SDA supports workforce skills development.
  • Automation environments must comply with legal and ethical requirements.
  • Current trends include AI, intelligent automation, cloud computing, and digital skills development.
  • Responsible automation requires governance, compliance, and ethical implementation practices.
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