Assessed, self-paced modules grouped into courses. Open a course to see its modules and what each one covers.
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Explains digital transformation beyond tool adoption — framing it as the alignment of people, processes, systems, data, and governance to drive real organisational change.
What you'll cover
What Digital Transformation Really Means
Business Processes & Technology
People, Process, System & Data Alignment
Common Transformation Failure Points
Practical Readiness Assessment
Teaches managers to see departments, workflows, and technology as interconnected systems — identifying root causes, dependencies, and unintended consequences.
What you'll cover
Introduction to Systems Thinking
Cause & Effect Across Business Functions
Bottlenecks & Unintended Consequences
Mapping Dependencies Between Teams & Systems
Applying Systems Thinking to Operational Decisions
A practical course on identifying inefficient manual processes and converting them into structured, governed digital workflows.
What you'll cover
Identifying Manual Process Inefficiencies
Mapping the Current-State Workflow
Designing the Future-State Digital Workflow
Selecting Appropriate Workflow Tools
Governance, Ownership & Measurement
Covers process discovery, documentation, bottleneck identification, and improvement planning — with a focus on operational governance.
A non-technical introduction to generative AI — its opportunities, limitations, risks, and responsible workplace usage principles.
What you'll cover
What AI and Generative AI Are
Common Business Use Cases
Strengths and Limitations of AI Tools
Risks: Overreliance, Hallucination & Bias
Responsible Workplace Usage Principles
Practical training on using AI tools for drafting, summarising, research, document preparation, and workflow assistance — with quality control habits built in.
What you'll cover
Prompting Fundamentals
Drafting and Rewriting Business Content
Summarising Documents and Meetings
Using AI for Planning and Analysis
Quality Control and Human Review
Helps managers identify AI use cases, manage risks, guide teams, and prevent uncontrolled shadow AI adoption.
What you'll cover
Identifying AI Opportunities in Teams
Evaluating AI Use Cases
Managing Risk and Confidentiality
Setting Internal Usage Rules
Measuring Productivity and Quality Impact
A governance-focused course covering AI usage policy, data protection, confidentiality, bias, auditability, and internal controls.
What you'll cover
Responsible AI Principles
Data Privacy and Confidentiality Risks
Bias, Accuracy, and Fairness Concerns
AI Usage Policy Requirements
Auditability and Internal Controls
A strategic course for executives on AI readiness — covering skills gaps, data maturity, governance foundations, and implementation planning.
Practical data protection awareness covering personal information, consent, secure handling, breach identification, and employee responsibilities under POPIA.
What you'll cover
What Personal Information Is
Employee Responsibilities Under POPIA
Consent and Lawful Processing Basics
Secure Handling of Personal Information
Breach Identification and Reporting
Advanced POPIA course focused on accountability, risk assessment, third-party processor oversight, access controls, and incident response.
What you'll cover
POPIA Accountability Principles
Risk Assessment for Business Processes
Third-Party Processor Oversight
Access Control and Retention Principles
Incident Response and Breach Assessment
Covers common cybersecurity risks for everyday users — phishing, social engineering, passwords, MFA, device security, and escalation procedures.
What you'll cover
Common Cyber Threats
Phishing and Social Engineering
Passwords and MFA
Secure Device and Email Behaviour
Reporting Suspicious Activity
Governance controls for websites and digital platforms — covering role-based access, publishing workflows, tag management, and audit trails.
What you'll cover
Website and Platform Governance
Role-Based Access Control
Publishing and Approval Workflows
Tag Management and Tracking Governance
Auditability and Change Records
What non-technical teams should do when a digital, data, or security incident occurs — from containment and escalation to evidence preservation.