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.
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.
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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.
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.
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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.
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 Overview

This lesson introduces learners to database concepts, data management systems, and structured information storage used in modern computing and automation environments. Learners will explore databases, database management systems (DBMS), tables, records, fields, queries, and the importance of organised data within digital systems and business operations.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain database concepts
  • Identify components of database systems
  • Describe the functions of database management systems
  • Differentiate between records, fields, and tables
  • Explain how data is stored and managed
  • Describe the importance of databases in digital environments

KT0501: Introduction to Databases

A database is an organised collection of information stored electronically for easy access, management, and retrieval.

Databases allow organisations to:

  • Store large amounts of information
  • Organise data efficiently
  • Retrieve information quickly
  • Update records accurately
  • Support business operations

Databases are used in:

  • Banking systems
  • Schools
  • Hospitals
  • E-commerce platforms
  • Government systems
  • Automation platforms

Examples of Data Stored in Databases

Databases may store:

  • Customer records
  • Employee information
  • Product inventories
  • Financial transactions
  • Student records
  • Medical information

Importance of Databases

Without databases, organisations would struggle to:

  • Manage information efficiently
  • Process transactions
  • Maintain accurate records
  • Analyse business data

Databases improve:

  • Data organisation
  • Efficiency
  • Accuracy
  • Decision-making

KT0502: Database Management Systems (DBMS)

A Database Management System (DBMS) is software used to create, manage, and maintain databases.

A DBMS acts as an interface between users and stored data.

Examples of DBMS software include:

  • MySQL
  • Microsoft SQL Server
  • Oracle Database
  • PostgreSQL
  • Microsoft Access

Functions of a DBMS

A DBMS allows users to:

  • Create databases
  • Insert data
  • Update records
  • Delete records
  • Search information
  • Control access permissions

Benefits of a DBMS

Data Security

Protects sensitive information.

Data Integrity

Ensures data remains accurate and consistent.

Backup and Recovery

Supports data protection and restoration.

Multi-User Access

Allows multiple users to access systems simultaneously.


KT0503: Tables, Records, and Fields

Databases organise information into structured components.


Tables

A table stores related information in rows and columns.

Each table focuses on a specific category of data.

Example:
A customer table may contain:

  • Customer ID
  • Name
  • Phone number
  • Email address

Records

A record is a complete set of information about one item or person within a table.

Example:

Customer ID Name Phone
101 Sarah 0821234567

This entire row represents one record.


Fields

A field is a single piece of information within a record.

Examples:

  • Name
  • Address
  • Date of Birth

Fields represent the columns within a table.


Relationship Between Tables, Records, and Fields

Component Description
Table Collection of related data
Record Single row of information
Field Individual data item

KT0504: Data Storage and Retrieval

Databases allow users to store and retrieve information efficiently.


Data Entry

Users enter information into database tables using:

  • Forms
  • Applications
  • Automated systems

Data Retrieval

Data retrieval involves searching for information stored in databases.

Users retrieve data using:

  • Queries
  • Search tools
  • Reports
  • Filters

Example

A school database may retrieve:

  • All student names
  • Student marks
  • Attendance records

Importance of Data Retrieval

Fast retrieval improves:

  • Productivity
  • Customer service
  • Reporting
  • Decision-making

Modern businesses rely heavily on efficient database retrieval systems.


KT0505: Queries and Data Processing

A query is a request used to retrieve or manipulate information in a database.

Queries allow users to:

  • Search records
  • Filter information
  • Sort data
  • Update values

Examples of Query Activities

  • Retrieve all employees in a department
  • Find customers with overdue payments
  • Display products below a certain price

Structured Query Language (SQL)

Many databases use SQL to process queries.

Example SQL query:

</>     SQL
SELECT * FROM Customers;
 

This query retrieves all records from the Customers table.


Importance of Queries

Queries help organisations:

  • Analyse data
  • Generate reports
  • Automate processes
  • Improve decision-making

Automation systems frequently use database queries to:

  • Retrieve information
  • Process transactions
  • Update records automatically

KT0506: Importance of Databases in Modern Technology

Databases are critical components of modern digital systems.

They support:

  • Websites
  • Banking systems
  • Mobile applications
  • Cloud platforms
  • E-commerce systems
  • Automation technologies

Benefits of Databases

Centralised Information

Data can be managed from one location.

Improved Accuracy

Structured systems reduce duplication and errors.

Faster Access

Information is retrieved quickly.

Security

Access permissions protect sensitive information.

Scalability

Databases can manage growing amounts of information.


Database Security

Databases must be protected against:

  • Unauthorised access
  • Data loss
  • Cyberattacks
  • Corruption

Security controls include:

  • Passwords
  • Encryption
  • Access permissions
  • Backups

Understanding databases helps learners:

  • Manage information effectively
  • Understand business systems
  • Support automation processes
  • Work with digital applications

Databases are foundational technologies within:

  • Software development
  • Data analytics
  • Artificial Intelligence
  • Automation systems
  • Cloud computing
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