Occupational Certificate: Cybersecurity Practitioner, NQF Level 6
(SAQA ID 122068)
This qualification prepares you to defend Organisations against Cyber Threats, implementing robust security controls and incident response measures. It covers industry knowledge, practical skills, and regulatory compliance, enabling you to pursue frontline Cybersecurity roles.
Module 1: Cybersecurity Fundamentals and Risk Management
Module 2: Network Security and Incident Response
Module 3: Security Tools, Technologies, and Controls
Module 4: Practical Cybersecurity Scenarios and Simulations
Total credits: 120
Occupational Certificate: Cybersecurity Analyst, NQF Level 5
(SAQA ID 118986)
This qualification equips you with the expertise to analyse, monitor, and investigate Cybersecurity Threats and Vulnerabilities. It spans threat intelligence, security operations, digital forensics, and incident management, preparing you for in-demand security analyst roles.
Module 1: Cybersecurity Concepts and Technologies
Module 2: Threat Analysis and Intelligence
Module 3: Security Monitoring and Incident Handling
Module 4: Digital Forensics and Incident Response
Total credits: 173
Occupational Certificate: AI Software Developer, NQF Level 5
(SAQA ID 118792)
This qualification empowers you to design, develop, and deploy intelligent software solutions leveraging Artificial Intelligence and Machine Learning. It covers AI fundamentals, data engineering, model development, MLOps, and AI ethics, preparing you for cutting-edge AI developer roles.
Module 1: Foundations of AI and Machine Learning
Module 2: Data Engineering and Preprocessing
Module 3: AI Model Development and Evaluation
Module 4: MLOps and Responsible AI Practices
Total credits: 209
Occupational Certificate: Data Science Practitioner, NQF Level 5
(SAQA ID 118708)
This qualification enables you to derive valuable insights and drive data-informed decision-making in organizations. It spans data wrangling, statistical analysis, machine learning, data visualization, and data storytelling, preparing you for high-impact data science roles.
Module 1: Data Science Foundations and Statistical Analysis
Module 2: Data Wrangling and Preprocessing
Module 3: Machine Learning and Predictive Modelling
Module 4: Data Visualization and Storytelling
Total credits: 185
Occupational Certificate: RPA Developer, NQF Level 5
(SAQA ID 119242)
This qualification empowers you to automate business processes using Robotic Process Automation (RPA) Technologies. It covers RPA fundamentals, process analysis, bot development, automation testing, and RPA implementation, preparing you for transformative RPA developer roles.
Module 1: Introduction to RPA and Process Analysis
Module 2: RPA Tool Proficiency and Bot Development
Module 3: Automation Testing and Debugging
Module 4: RPA Implementation and Maintenance
Total credits: 185
THREE SPECIALIST ENVIRONMENTS
One Platform. Three Domains. Real Evidence.
Every task, dataset and scenario traces directly to the QCTO-registered curriculum. Evidence is captured automatically as learners work.
BUILT FOR COMPLIANCE
Why This Matters
Designed around QCTO requirements, POPIA obligations, and the operational realities of multi-cohort delivery.
Compliance Confidence
Every simulation maps to actual QCTO internal assessment criteria. Evidence is generated by design, making EISA readiness demonstrable.
Zero Data Risk
Only synthetic data. Structurally realistic, zero PII. POPIA compliance built into the architecture at the design phase.
No Vendor Lock-in
Built on vendor-neutral, freely available technologies. No proprietary licensing dependency that puts programme continuity at risk.
Repeatable and Scalable
Identical baselines. Versioned scenarios, datasets and rubrics. Moderation is defensible; scaling across providers is simple.
Lower Total Cost
One platform replaces three lab builds. Automated evidence capture reduces POE admin. Synthetic data eliminates dataset procurement costs.
Governed and Quality-Assured
The Sandbox prepares learners for the EISA — it does not replace it. Every rubric, performance threshold and decision rule is signed off by a subject-matter expert and an accredited assessor. The final summative judgement remains with the Assessment Quality Partner.