Overview
The digital age has transformed the way individuals, organisations, and societies function. While the internet has opened doors to innovation, learning, and communication, it has also brought about new types of threats and vulnerabilities.
This module introduces the core principles of cybersecurity, focusing on the
protection of digital systems, networks, and information from unauthorised
access, attack, or damage.
In this foundational module, learners will begin to understand why cybersecurity is essential, not just for IT professionals, but for every citizen in a digital society.
With growing access to smartphones, social media, online banking, and e-learning in Africa, digital safety has become a critical life skill.
Cyber threats don’t just affect multinational corporations or governments—they impact ordinary people every day. From a grandmother in rural Limpopo using mobile banking to a student in Nairobi attending classes online, the internet is both a lifeline and a potential risk zone. Cybersecurity awareness empowers people with the skills to stay safe and protect what matters most: their identity, their money, and their peace of mind.
Programme outline
- What cybersecurity is and why it matters
- Common online threats (phishing, malware, ransomware)
- Social engineering and how attackers manipulate people
- Password security and multi-factor authentication
- Safe internet and email practices
- Secure device and network habits
- How to spot and report suspicious activity
Skills You will develop
Completing a cybersecurity awareness course typically equips you with:
Threat Recognition
- Spot phishing emails, social engineering attempts, and suspicious links
Safe Online Practice
- Secure browsing behaviours
- Robust password creation and management
- Use of multi-factor authentication
Device & Network Security
- Basics of keeping devices updated and protected
- Secure use of public Wi-Fi
Data Protection Awareness
- Understanding personal and organisational data sensitivity
- Basic privacy protection concepts
Incident Reporting
- Recognising when something is wrong and how to report it to IT or security teams
- These competencies help reduce human-error risks—often the weakest link in cyber defense.
Possible Careers
- IT Support Assistant (with enhanced security awareness)
- Office Staff / Administrative Roles (safer online behaviour)
- Customer Support Roles with secure practices
Course Overview
Course Delivery
Course Fees
Optional (Online system access for 12 months)
Overview
Cloud computing is the delivery of computing services (like servers, storage, databases, networking, and software) over the internet (“the cloud”).
A fundamentals course introduces how cloud tech works, its benefits over on-premise systems, and the major service models and providers. Students learn the principles behind cloud computing and get hands-on exposure to real cloud platforms
Programme outline
- What cloud computing is and why it matters
- Cloud service models: IaaS, PaaS, SaaS
- Deployment models: public, private, hybrid, multi-cloud
- Virtualisation, storage, networking in the cloud
- Introduction to cloud security concepts and best practices
- Cloud architecting basics and use-case scenarios
Skills You will develop
By the end of a fundamentals course, you’ll typically gain:
Core Cloud Concepts
- Understand basic cloud architecture and service models
- Describe how cloud differs from traditional on-premise systems
- Recognize cloud deployment and scaling strategies
Practical Cloud Skills
- Navigate cloud provider interfaces
- Launch basic cloud resources (compute, storage, networking)
- Explain cloud security fundamentals and compliance basics
Soft & Professional Skills
- Problem-solving in cloud design scenarios
- Technical communication (explaining cloud solutions)
- Troubleshooting common cloud issues
Career Options After the Course
Completing a cloud fundamentals course equips you for a range of entry-level IT roles and sets the foundation for more advanced cloud careers:
Entry-Level Roles
- Cloud Support Specialist / Cloud Technician
- Junior Cloud Administrator
- IT Support with Cloud Focus
- DevOps Assistant / Cloud Operations Support
- Junior Systems Administrator
Course Overview
Course Delivery
Course Fees
Artificial Intelligence & Prompt Engineering
Overview
This course introduces learners to the core concepts of Artificial Intelligence (AI) and builds practical skills in prompting AI tools effectively (such as chatbots and generative AI systems).
Students will learn how AI works, where it is used, and how to interact with AI models using well-structured prompts to get accurate, useful results.
The course is designed for beginners with no prior AI or coding experience and focuses on real-world applications rather than heavy mathematics or programming.
Programme outline
- Introduction to Data Science and Data Analysis
- Computers and Computing Systems
- Fundamentals of Design Thinking Innovation
- Computing Theory
- 4IR and Future Skills
- Basic Statistics for Data Analytics
- Statistics essentials for Data Analytics
- Data Science and Data Analysis
- Logical Thinking and Basic Calculations: Refresher
- Data Analysis and Visualization
- Introduction to Governance, Legislation and Ethics
Skills You will develop
By the end of the course, learners will be able to:
AI Fundamentals
- Understand what Artificial Intelligence is and how it differs from traditional software
- Identify types of AI (Narrow AI, Generative AI, Machine Learning, etc.)
- Understand basic AI terminology (models, data, training, inference)
- Recognize real-world applications of AI across industries
- Understand ethical considerations and limitations of AI
Basic Prompting Skills
- Write clear, effective prompts for AI tools
- Use prompting techniques such as:
- Role-based prompting
- Step-by-step prompting
- Context and constraint setting
- Improve AI responses through prompt refinement
- Use AI for tasks like:
- Content creation
- Research and summarization
- Brainstorming and idea generation
- Basic problem-solving and analysis
Practical & Professional Skills
- Critical thinking when evaluating AI outputs
- Productivity enhancement using AI tools
- Responsible and ethical AI usage
- Communication and instruction-giving skills
Possible Careers
- AI Prompt Specialist (Entry Level)
- AI Content Assistant
- AI Support or Operations Assistant
Other Benefits
- Strong foundation for advanced AI, data science, or machine learning courses
- Improved employability in AI-enabled workplaces
Course Overview
Course Delivery
Course Fees
Certified Digital Practitioner Programme Course
Overview
This course is designed to equip beginners, particularly learners, with the
essential digital literacy skills needed to thrive in modern academic, social,
and work environments. It integrates content from:
- Digital Literacy 2025 (custom content)
- Online Communication and Collaboration
- Microsoft Digital Literacy Manual Master v4
Each module is written in a formal, academic instructional style and is
supported with practical tasks, illustrations (with placeholders), and
contextual African case studies.
Programme outline
- Introduction to Data Science and Data Analysis
- Computers and Computing Systems
- Fundamentals of Design Thinking Innovation
- Computing Theory
- 4IR and Future Skills
- Basic Statistics for Data Analytics
- Statistics essentials for Data Analytics
- Data Science and Data Analysis
- Logical Thinking and Basic Calculations: Refresher
- Data Analysis and Visualization
- Introduction to Governance, Legislation and Ethics
Skills You will develop
- Basic computer skills and introduction to AI
Possible Careers
- Data Entry Clerk – inputting and managing data.
- Administrative Assistant – office and file management using computers
- Customer Service Representative – email/chat/CRM systems
- IT Support Assistant (Junior) – basic technical support.
- Social Media Assistant – supporting online presence.
- Digital Content Assistant – creating simple online content.
Other Benefits
- Strong foundation for advanced AI, data science, or machine learning courses
- Improved employability in AI-enabled workplaces
Course Overview
Course Delivery
Course Fees
Internet of Things (IOT) Fundamentals
Overview
An Internet of Things (IoT) short course teaches you how physical devices and systems (sensors, gadgets, appliances, machines) connect and communicate over the internet to collect, share, and act on data.
It’s a key skill area in the 4th Industrial Revolution (4IR) and increasingly relevant across industries such as manufacturing, smart cities, agriculture, health tech and logistics.
Programme outline
- Introduction to IoT: what IoT is, ecosystem, components and communication.
- IoT Technologies and Architecture: sensors, actuators, gateways, cloud platforms.
- Business Application of IoT: how IoT is used in automation and digital transformation.
- Security & Privacy: risks and security best practices for IoT systems.
- Device & Data Connectivity Basics: including introductory networking and protocols.
- Hands-on Tools (varies): some courses cover microcontrollers (e.g., Raspberry Pi, Arduino), Python basics, cloud integration.
- Real-world Case Studies: practical insights into how IoT solves business problems. Ethics
Skills You will develop
- Basic computer skills and introduction to AI
Possible Careers
- IoT Technician / Support – assist with deployment and configuration.
- Junior IoT Developer (assistant level) – work on basic device connectivity.
- IoT Analytics Assistant – help prepare and visualise IoT data.
- Technical Support in Smart Systems – for automation products.
Other Benefits
- Strong foundation for advanced AI, data science, or machine learning courses
- Improved employability in AI-enabled workplaces
Course Overview
Course Delivery
Course Fees
Optional (Embedded System using IoT kit)
Social Media and Digital Marketing Fundamentals
Overview
Digital marketing training teaches you how to promote products or services online using channels like:
- Websites & blogs
- Search engines (SEO/SEM)
- Social media platforms (e.g., Facebook, Instagram, LinkedIn, TikTok)
- Email marketing
- Online advertising and analytics
Social media marketing specifically focuses on using platforms like Meta (Facebook/Instagram), LinkedIn, Twitter, and TikTok to grow audiences, build engagement, and drive measurable results.
Programme outline
1. Introduction & Strategy
- What digital marketing is and why it matters
- Planning digital campaigns and setting objectives
- Building a strategy that aligns with business goals
2. Social Media Marketing
- How major platforms (like Facebook, Instagram, LinkedIn, TikTok) work
- Creating and managing content calendars
- Community engagement and brand building
- Paid advertising on social channels (Meta Ads, etc.)
3. SEO & Content Marketing
- Search Engine Optimisation basics
- Content creation for web and social
- User experience principles
4. Web & Analytics
- Understanding website fundamentals
- Using analytics tools to track performance and ROI
- Reporting and optimisation techniques
5. Email & Paid Digital Advertising
- Introductory email marketing
- Pay-per-click (PPC), display, and search advertising basics
Possible Careers
- Digital Marketing Specialist / Coordinator
- Social Media Manager / Specialist
- Content Marketing Specialist
- SEO/SEM Specialist
- Online Advertising Specialist
- Brand/Community Manager
- Freelancer / Digital Marketing Consultant
Course Overview
Course Delivery
Course Fees