About Course

Course Title

Occupational Certificate: Robotic Processing Automation (RPA) Developer

Course Description

This qualification is designed to prepare learners to operate as a Robotic Processing Automation (RPA) Developer, aligned to the occupation of Software Developer (251201)

The RPA Developer works collaboratively with developers and solution architects to design and develop robotic process automation software that emulates business processes defined by process owners and documented by business analysts. These solutions automate tasks that interact with multiple systems and data sources, improving efficiency and accuracy in business operations

The qualification focuses on enabling learners to:

Develop RPA solutions that simulate human actions using platform knowledge and data analysis capabilities
Execute testing procedures to evaluate system performance and determine whether solutions meet requirements
Modify and improve existing RPA solutions and build reusable automation components
Work effectively within multidisciplinary teams while adhering to ethical and professional standards

Qualification Details

Curriculum Code: 251201004
NQF Level: 5
Total Credits: 185

Course Structure

This qualification is made up of three integrated components:

1. Knowledge Modules (Total: 47 Credits)

These modules provide theoretical understanding of computing, data, and automation:

KM-01: Overview of Robotic Process Automation (Credits: 2)
KM-02: Basic Calculations and Logical Thinking Revision (Credits: 4)
KM-03: Computers and Computing Systems (Credits: 3)
KM-04: Computing Theory (Credits: 4)
KM-05: Data, Databases and Data Scraping (Credits: 4)
KM-06: Introduction to RPA for Automation of Processes (Credits: 12)
KM-07: Robotic Process Automation (RPA) (Credits: 12)
KM-08: Introduction to RPA Governance, Legislation and Ethics (Credits: 1)
KM-09: Fundamentals of Design Thinking and Innovation (Credits: 1)
KM-10: 4IR and Future Skills (Credits: 4)

2. Practical Skills Modules (Total: 66 Credits)

These modules focus on hands-on application of RPA development:

Basic programming and calculations
Data analysis and visualization using tools
Development of robotic automated process solutions
Testing, deployment, and maintenance of RPA systems
Application of design thinking methodologies

3. Work Experience Modules

Learners gain real-world experience in:

RPA solution design and development
Testing and performance evaluation
Deployment, troubleshooting, and continuous improvement of automation systems

Purpose of the Course

The course equips learners with the ability to:

Analyse business processes and design automation solutions
Develop and implement RPA workflows
Test and optimise automation systems
Maintain and improve deployed solutions
Collaborate effectively within a professional environment

It ensures that learners can function both independently and as part of a team, applying efficiency, ethical conduct, and problem-solving skills in real workplace environments

Overall Learning Outcome

By completing this qualification, learners will be able to:

✔ Build intelligent automation systems
✔ Improve organisational efficiency through RPA
✔ Work with multiple technologies and platforms
✔ Apply best practices in software development and automation
✔ Contribute to digital transformation in modern organisations

Course Content

KM-01: Overview of Robotic Process Automation
This module introduces learners to the foundational concepts of Robotic Process Automation (RPA) and provides a clear understanding of how automation technologies are transforming modern business operations. Learners are exposed to the basic principles of RPA, including what RPA is, how it works, and why organisations are increasingly adopting automation to improve efficiency, accuracy, and productivity. The module explains how software robots (bots) mimic human actions when interacting with digital systems such as applications, databases, and web platforms. In addition, the module explores the background and evolution of RPA, giving learners insight into how automation developed from traditional scripting and macros into intelligent, scalable enterprise solutions. Learners will understand the relationship between RPA and broader technologies such as Artificial Intelligence (AI), Machine Learning, and the Fourth Industrial Revolution (4IR). The module also highlights: The benefits and limitations of RPA Real-world use cases across industries The role of RPA developers in organisations Key components of RPA systems By the end of this module, learners will have a strong conceptual foundation that prepares them for more advanced RPA development and implementation topics in later modules.

KM-02: Basic Calculations and Logical Thinking Revision
The main focus of this module is to develop mathematical thinking and strengthen foundational calculation skills required for problem solving in Robotic Process Automation (RPA). Learners will acquire essential mathematical knowledge that supports the use of software toolkits and automation platforms. This module equips learners with the ability to think logically, analyse problems, and apply mathematical principles in real-world and technical environments. It introduces both fundamental and applied mathematical concepts that are critical in programming, automation, and data handling. Learners will explore problem-solving techniques, number systems, data representation, and computational logic. These skills form the backbone of automation processes where precision, accuracy, and logical sequencing are essential. The module also bridges the gap between theoretical mathematics and practical application in computing environments, enabling learners to confidently work with calculations, conversions, and logical operations in RPA development.

KM-03: Computers and Computing Systems
This module focuses on building a foundational understanding of how computers function and how they are used to solve problems in real-world environments. The learning explores the core components of a computer system, including input, output, the central processing unit (CPU), and memory, as well as how these components interact to execute tasks. The module also introduces key concepts in computing such as problem-solving techniques for IT professionals, cloud computing, security fundamentals, and programming and development. Learners gain insight into how data is processed, stored, and secured, and how computing systems support modern digital environments. By the end of this module, learners will be able to demonstrate an understanding of: Problem-solving skills for IT professionals (30%) Cloud computing (30%) Security fundamentals (20%) Programming and development (20%)

KM-04: Computing Theory
This module focuses on building foundational knowledge of computing theory, specifically around programming concepts, programming languages, and software applications. It introduces learners to how software is structured, how programming works, and how different tools and applications are used in computing environments. The learning enables learners to develop an understanding of: Introduction to programming languages (30%) Programming basics (45%) Software applications (25%) The module prepares learners to understand how programming underpins modern computing systems, including automation technologies such as RPA. It also equips learners with the ability to interpret programming logic, understand development environments, and apply computing concepts in real-world scenarios.

KM-05: Data, Databases and Data Scraping
The main focus of this module is to build an understanding of data and databases, and how to give meaning to data through data processing, analysis, and visualisation. Learners will develop knowledge and skills to: Understand how raw data is transformed into meaningful information Work with databases, including storing and accessing data Use SQL (Structured Query Language) for querying data Apply data scraping techniques to extract information Use tools for data analysis and visualisation Understand key principles of data security By the end of this module, learners will be able to interpret, manage, and use data effectively in real-world digital and RPA environments.

KM-06: Introduction to RPA for Automation of Processes
The main focus of this knowledge module is to build an understanding of the benefits of Robotic Process Automation (RPA) solutions in automating business processes. The module specifically focuses on: Automating back-office and front-end operations Handling repetitive, manual, and time-consuming tasks Improving accuracy, efficiency, and productivity Learners will gain knowledge on how RPA technologies: Reduce human error Increase operational efficiency Enable organisations to scale automation The learning will enable learners to demonstrate understanding of: KM-06-KT01: Using a toolkit/platform (40%) KM-06-KT02: Business processes, analysis and process modelling (30%) KM-06-KT03: Workflow and automation (30%)

KM-07: Robotic Process Automation (RPA)
The main focus of this module is: To build an understanding of how to use a toolkit/platform (vendor-specific approach) for the creation and deployment of automated processes. The specific RPA platform will be the provider’s choice. This module develops practical knowledge of how RPA tools actually work in real environments, moving beyond theory into: Building automation using platforms Handling data within automation Controlling workflows Managing automation systems Securing the RPA ecosystem Learners will gain skills in: Designing automation logic Working with variables and selectors Managing data within processes Applying automation techniques Ensuring systems are secure and efficient

KM-08: Introduction to RPA Governance, Legislation and Ethics
The main focus of this knowledge module is: To build an understanding of the various types of legislation governing the workplace and their implications for both employers and employees. This module also equips learners with knowledge in: Governance principles Ethical behaviour in the workplace Security awareness Performance management Business planning concepts Costing and resource management Learners will develop an understanding of: Legal frameworks affecting organisations Ethical decision-making in professional environments Workplace responsibilities and compliance Business and operational fundamentals

KM-09: Fundamentals of Design Thinking and Innovation
The main focus of this knowledge module is to build an understanding of design thinking principles and their application in the workplace. Design thinking is a human-centred, problem-solving approach that integrates: The needs of people The possibilities of technology The requirements for business success Learners will develop knowledge and understanding of: Introduction to design thinking The human element in design Creativity and problem solving Innovation and its types Design principles Design thinking methodology Application of design thinking in real-world environments This module prepares learners to: Think creatively and critically Solve complex problems Apply innovation in business and technology contexts

KM-10: 4IR and Future Skills
This module focuses on understanding the Fourth Industrial Revolution (4IR) and the future skills required to operate effectively in modern, technology-driven environments. The Fourth Industrial Revolution represents a shift where technologies such as: Artificial Intelligence (AI) Automation (including RPA) Big Data Cloud Computing Internet of Things (IoT) are transforming how businesses operate and how work is performed. The module equips learners with the ability to: Understand the impact of 4IR on industries and jobs Identify emerging technologies shaping the future Recognise the importance of digital transformation Develop future-ready skills such as adaptability, problem-solving, and innovation It prepares learners to: 👉 Function effectively in rapidly changing digital environments 👉 Align their skills with future workforce demands

Practical Module 1: Title Basic Calculations for Programming

Practical Module 2: Basic Programming

Practical Module 3: Access, Analyse and Visualise Structured Data using Spreadsheets and Scraping Tools

Practical Module 4: Model and Develop Robotic Automated Process (RPA) Solutions

Practical Module 5: Execute Test Procedures for Evaluating the RPA Solution Performance

Practical Module 6: Deploy RPA Solutions which Emulate Actions of a Human Interacting within Digital Systems

Practical Module 7: Modify and Improve Existing RPA Solutions

Practical Module 8: Function Ethically and Effectively as a Member of a Multidisciplinary Team

Practical Module 9: Apply Design Thinking Methodologies

Workplace Module 1: Function Ethically and Effectively as a Member of a Multidisciplinary Team

Workplace Module 2: Apply Design Thinking Methodologies

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

Student Ratings & Reviews

No Review Yet