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 binary number systems and the relationship between decimal and binary values in computing environments. Learners will explore how computers represent data using binary numbers, perform binary arithmetic operations, and apply mathematical rules such as BODMAS when solving calculations.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the difference between decimal and binary number systems
  • Convert numbers between decimal and binary formats
  • Perform basic binary arithmetic calculations
  • Apply BODMAS rules in calculations
  • Explain the importance of binary systems in computing

KT0201: Introduction to Binary Numbers

Computers operate using electronic signals that have only two possible states: ON or OFF. Because of this, computers use the binary number system rather than the decimal system commonly used by humans.

The decimal number system is based on ten digits:
0, 1, 2, 3, 4, 5, 6, 7, 8, and 9.

The binary number system uses only two digits:
0 and 1.

These binary digits are called bits.

A bit represents the smallest unit of data in computing. Multiple bits combine to represent larger numbers, letters, symbols, images, and instructions within computer systems.

In binary:

  • 0 usually represents OFF
  • 1 usually represents ON

Examples of binary numbers:

  • 0
  • 1
  • 10
  • 101
  • 1111

The value of binary digits depends on their position within the number.

For example:

Binary Position 128 64 32 16 8 4 2 1
Binary Number 0 0 0 0 1 1 0 1

The binary number 1101 equals:

  • 1 × 8 = 8
  • 1 × 4 = 4
  • 0 × 2 = 0
  • 1 × 1 = 1

Total = 13

Therefore:
1101₂ = 13₁₀

Binary numbers are important because all computer operations, software systems, and digital communications rely on binary processing.

Examples of where binary is used include:

  • Data storage
  • Computer memory
  • Programming
  • Networking
  • Digital electronics
  • Automation systems

Understanding binary systems helps learners understand how computers process information internally.


KT0202: Perform Addition and Subtraction of Positive Whole Numbers in Binary

Binary arithmetic follows rules similar to decimal arithmetic, but calculations use only the digits 0 and 1.

Binary Addition Rules

Addition Result
0 + 0 0
0 + 1 1
1 + 0 1
1 + 1 10

The result 10 in binary means:

  • Write 0
  • Carry 1

Example 1: Binary Addition

 
   1010
+ 0011
-------
1101
 

Step-by-step:

  • 0 + 1 = 1
  • 1 + 1 = 10 → write 0, carry 1
  • 0 + 0 + carried 1 = 1
  • 1 + 0 = 1

Final answer:
1101₂


Binary Subtraction Rules

Subtraction Result
1 − 0 1
1 − 1 0
0 − 0 0
0 − 1 Borrow required

Example 2: Binary Subtraction

 
   1011
- 0010
-------
1001
 

Step-by-step:

  • 1 − 0 = 1
  • 1 − 1 = 0
  • 0 − 0 = 0
  • 1 − 0 = 1

Final answer:
1001₂

Binary arithmetic is important in computing because processors perform millions of binary calculations every second.


KT0203: Binary Arithmetic

Binary arithmetic includes mathematical operations such as:

  • Addition
  • Subtraction
  • Multiplication
  • Division

Computers use binary arithmetic to process instructions, perform calculations, and manage data.


Binary Multiplication

Binary multiplication is simpler than decimal multiplication because only 0 and 1 are used.

Multiplication Rules

Multiplication Result
0 × 0 0
0 × 1 0
1 × 0 0
1 × 1 1

Example:

 
   101
× 11
-------
101
+1010
-------
1111
 

Final answer:
1111₂


Binary Division

Binary division follows the same principles as decimal division but uses binary values.

Binary arithmetic is used in:

  • Computer processors
  • Logic circuits
  • Data transmission
  • Embedded systems
  • Automation systems

Understanding binary arithmetic helps learners understand how digital systems process calculations internally.


KT0204: Use of BODMAS

BODMAS is a mathematical rule used to determine the correct order for solving calculations involving multiple operations.

BODMAS stands for:

Letter Meaning
B Brackets
O Orders
D Division
M Multiplication
A Addition
S Subtraction

BODMAS ensures calculations are solved consistently and correctly.


Step-by-Step Example

Example:

                                (6 + 2) × 4 − 8 ÷ 2

Step 1: Brackets

                                 6 + 2 = 8

Expression becomes:

                                 8 × 4 − 8 ÷ 2

Step 2: Division and Multiplication

                                  8 × 4 = 32

                                  8 ÷ 2 = 4

Expression becomes:

                                      32 − 4

Step 3: Subtraction

                                        32 − 4 = 28

Final answer:
28


BODMAS is important in:

  • Programming
  • Spreadsheet calculations
  • Data analysis
  • Engineering
  • Financial systems
  • Automation logic

Failure to apply the correct order of operations can result in incorrect outputs and system errors.

In computing and programming environments, operators follow strict precedence rules similar to BODMAS to ensure calculations are processed correctly.

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