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.
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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.
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:

  • Convert numbers between decimal and binary number systems
  • Express size and magnitude using scientific notation
  • Convert between related measurement units
  • Apply rational and irrational numbers
  • Differentiate and apply PEDMAS and BODMAS
  • Convert decimals to common fractions
  • Apply scientific notation for small and large numbers

Overview

Basic calculations form an essential part of programming and computational thinking. Programmers regularly work with number systems, mathematical operations, measurements, conversions, and data representation when developing software applications and automation solutions.

This practical lesson introduces learners to number bases, measurement units, mathematical calculations, scientific notation, and problem-solving techniques used in programming environments. Learners will complete practical activities focused on calculations commonly used in software development and Robotic Process Automation (RPA).


Scenario: Number Systems and Programming Calculations

A software development team is building an automation solution that processes numerical data from different systems. The system must support binary calculations, measurement conversions, mathematical operations, and scientific notation to process data accurately.

Learners are required to perform practical activities involving number systems and calculations used in programming environments.


PA0101 — Convert Numbers Between Decimal and Binary Number Systems

Binary numbers are commonly used in computing systems and programming environments.

Tools/Resources

  • Calculator
  • IDE or coding environment
  • Notebook
  • Browser

Activity Instructions

  1. Convert the decimal number 16 into binary.
  2. Perform binary addition and subtraction operations.
  3. Verify the calculations manually.
  4. Record all conversion steps clearly.
  5. Save all completed calculations.

Expected Outcome

Decimal numbers are converted correctly into binary format and binary operations are completed accurately.

Evidence Required

  • Screenshot of binary conversion calculations
  • Screenshot of completed binary operations
  • Written explanation of conversion process

PA0102 — Express Size and Magnitude

Programming and computing environments often use scientific notation and magnitude conversions.

Tools/Resources

  • Calculator
  • Scientific notation reference table
  • IDE or spreadsheet software

Activity Instructions

  1. Convert from Giga (10¹²) to Pica (10⁻¹²).
  2. Calculate the magnitude difference.
  3. Record all calculations clearly.
  4. Verify answers using a calculator.

Expected Outcome

Magnitude differences and scientific notation calculations are completed correctly.

Evidence Required

  • Screenshot of calculations
  • Screenshot of scientific notation results

PA0103 — Convert Between Related Measurement Units

Programmers and technical professionals often work with different measurement systems.

Tools/Resources

  • Calculator
  • Conversion chart
  • Spreadsheet software

Activity Instructions

  1. Convert meters into feet.
  2. Convert additional metric values into imperial units.
  3. Verify all conversion calculations.
  4. Record all results clearly.

Expected Outcome

Measurement conversions between systems are completed accurately.

Evidence Required

  • Screenshot of conversion calculations
  • Screenshot of completed results

PA0104 — Apply Rational and Irrational Numbers

Programming calculations may involve both rational and irrational numbers.

Tools/Resources

  • Calculator
  • Mathematics reference material
  • Notebook

Activity Instructions

  1. Identify rational numbers from a provided list.
  2. Identify irrational numbers from a provided list.
  3. Solve equations involving rational and irrational numbers.
  4. Record all answers clearly.

Expected Outcome

Rational and irrational numbers are identified and applied correctly.

Evidence Required

  • Screenshot of solved equations
  • Written identification of rational and irrational numbers

PA0105 — Differentiate and Apply PEDMAS and BODMAS

Programming calculations require correct order of operations.

Tools/Resources

  • Calculator
  • IDE or coding environment
  • Mathematics worksheets

Activity Instructions

  1. Evaluate expressions using PEDMAS/BODMAS.
  2. Simplify complex mathematical expressions.
  3. Verify calculations step-by-step.
  4. Record final answers clearly.

Expected Outcome

Expressions are solved correctly using the correct order of operations.

Evidence Required

  • Screenshot of completed calculations
  • Written breakdown of steps followed

PA0106 — Use Decimals and Convert Them to Common Fraction Form

Decimals and fractions are commonly used in calculations and data processing.

Tools/Resources

  • Calculator
  • Notebook
  • Spreadsheet software

Activity Instructions

  1. Convert 0.75 into a common fraction.
  2. Perform operations involving decimals and fractions.
  3. Simplify fractions where required.
  4. Record all calculations.

Expected Outcome

Decimals are converted correctly into fractions and operations are completed accurately.

Evidence Required

  • Screenshot of fraction conversions
  • Screenshot of completed calculations

PA0107 — Apply Scientific Notation for Small and Large Numbers

Scientific notation is used to represent extremely large or small values efficiently.

Tools/Resources

  • Scientific calculator
  • Spreadsheet software
  • IDE

Activity Instructions

  1. Express 500,000 using scientific notation.
  2. Convert additional values into scientific notation.
  3. Verify calculations.
  4. Record all answers clearly.

Expected Outcome

Numbers are expressed correctly using scientific notation.

Evidence Required

  • Screenshot of scientific notation calculations
  • Screenshot of completed results
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