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This course provides a detailed guide to implementing ISO 10668:2010, the international standard for the monetary valuation of brands. It introduces participants to the key requirements, frameworks, and methodologies for brand valuation, focusing on three core perspectives: legal, behavioral, and financial. Participants will learn how to apply consistent, transparent, and defensible methods for assessing brand value that are essential for mergers, acquisitions, licensing, financial reporting, and strategic decision-making.
By the end of the course, you will be able to:
Understand the scope, structure, and objectives of ISO 10668:2010.
Identify the legal, behavioral, and financial components of brand valuation.
Choose appropriate brand valuation approaches: income, market, or cost-based.
Apply consistent and transparent valuation methodologies based on best practices.
Evaluate brand strength through stakeholder perception and behavioral data.
Integrate brand valuation into financial reporting, IP management, and strategy.
Use valuation results to support brand licensing, investment, and M&A activities.
Ensure compliance with audit and legal expectations for intangible assets.
Document the brand valuation process for governance and transparency.
Develop a roadmap for establishing brand valuation processes aligned with ISO 10668.
Brand Managers and Marketing Directors
CFOs, Financial Analysts, and Valuation Experts
Intellectual Property (IP) Managers
M&A and Corporate Strategy Teams
Legal Advisors and Compliance Officers
Consultants in brand, finance, and intangible asset valuation
Basic understanding of financial reporting or brand management is helpful
No prior experience with brand valuation or ISO 10668 is required
Useful for organizations managing high-value or trademarked brands
This course provides practical, step-by-step guidance on implementing ISO 10004:2018, the international standard for monitoring and measuring customer satisfaction. Participants learn to design structured methods for collecting, analyzing, and interpreting customer feedback through surveys, interviews, digital tools, and operational data. The training explains how to define customer satisfaction metrics, identify satisfaction drivers, monitor performance trends, and integrate insights into organizational decision-making. The course also covers alignment with ISO 9001 and ISO 10002 to build a comprehensive customer-focused management system. By the end, trainees will be able to build, improve, and maintain an effective customer satisfaction measurement framework.
By the end of the course, you will be able to:
Understand the purpose, scope, and key concepts of ISO 10004:2018.
Identify customer satisfaction drivers and define relevant metrics.
Design a customer satisfaction monitoring framework.
Select appropriate data sources and feedback collection methods (e.g., surveys, interviews, digital tools).
Analyze customer satisfaction data using both qualitative and quantitative methods.
Align satisfaction monitoring with quality and business objectives.
Use indicators and trends to improve services, products, and processes.
Integrate ISO 10004 practices into ISO 9001 or ISO 10002 systems.
Communicate insights effectively across teams and departments.
Develop a continuous improvement loop based on customer satisfaction data.
Customer Experience and Customer Service Managers
Quality Managers and ISO 9001 Practitioners
Marketing, CRM, and Business Intelligence Analysts
Compliance and Operations Managers
Product and Service Development Teams
Consultants in quality, customer engagement, and process improvement
Basic understanding of customer service or quality systems is helpful
No prior knowledge of ISO 10004 required
Valuable for any organization seeking to enhance customer satisfaction
This course equips participants with the knowledge and tools to design, implement, and maintain a Road Traffic Safety (RTS) Management System in accordance with ISO 39001:2012. You’ll learn how to identify road safety risks, set measurable RTS objectives, and apply a data-driven approach to reduce deaths and serious injuries caused by road traffic incidents. The course emphasizes system integration, risk-based thinking, and continual improvement, linking ISO 39001 to related frameworks such as ISO 9001 (quality), ISO 45001 (occupational health and safety), and ISO 14001 (environmental management).
By the end of this course, you will be able to:
Understand the structure, intent, and key clauses of ISO 39001:2012.
Identify RTS risks, road user behaviours, and external factors influencing traffic safety performance.
Develop and implement a Road Traffic Safety policy aligned with organizational strategy.
Set, monitor, and evaluate RTS objectives and key performance indicators (KPIs).
Manage operational controls for vehicles, drivers, routes, and journeys to prevent accidents.
Conduct RTS performance evaluations, internal audits, and management reviews.
Promote a culture of road safety and continual improvement across the organization.
Health and safety managers
Fleet and transport supervisors
Logistics and supply chain managers
Traffic safety officers and coordinators
Risk management and compliance professionals
ISO consultants and internal auditors
Government and public sector representatives involved in road transport safety
Basic knowledge of safety or risk management
Experience in transport or fleet operations helpful
No prior ISO 39001 experience required
This practitioner course turns ISO/IEC 42001 into a practical blueprint for establishing, implementing, maintaining, and improving an Artificial Intelligence Management System (AIMS). We link strategy and policy to clear governance, roles, and accountability for AI products and services. You’ll learn to scope your AIMS, identify stakeholders, and run risk/impact assessments that address safety, bias/fairness, privacy, security, and explainability. We translate lifecycle controls into day-to-day practices: data management, model design and testing, validation, deployment, monitoring, incident/change management, and decommissioning. The course covers documentation and traceability, transparency measures, human oversight, supplier/third-party model management, and metrics for performance and harm reduction. You’ll prepare audit-ready evidence, internal audit plans, and management review inputs that drive continual improvement and align with broader IMS or ESG commitments. Jurisdictional notes highlight privacy, accessibility, and sector-specific regulations relevant to your context. Designed for organizations that develop or use AI, from startups to the enterprise and public sector.
Translate ISO/IEC 42001 into an AIMS roadmap
Define scope, policy, roles, and governance structure
Run AI risk/impact assessments (bias, safety, privacy, security)
Implement lifecycle controls: data, design, testing, deployment, change
Establish monitoring, incident response, and model drift management
Manage third-party models, data providers, and contracts
Design transparency, human oversight, and recordkeeping
Prepare for internal audits, management reviews, and improvement
AI/ML leaders, product owners, and data science managers
Risk, compliance, privacy, and information security teams
Quality/IMS managers integrating AI governance
Engineering and platform (MLOps) leaders
Executives accountable for AI strategy and ethics
Basic ISO/PDCA or governance/risk knowledge
Familiarity with AI/ML concepts and data pipelines
Awareness of privacy/security frameworks (helpful)
Experience with software lifecycle or vendor management (helpful)
This practitioner course demonstrates how to plan, create, verify, and publish Type III Environmental Product Declarations (EPDs) in accordance with ISO 14025:2006. We position Type III declarations within the ISO labeling family (Types I/II/III) and connect them to ISO 14040/44 life-cycle assessment methods. You’ll learn to navigate program operators, identify or develop Product Category Rules (PCRs), and translate LCA results into decision-ready declarations with clear assumptions, boundaries, and data-quality statements. We address primary vs. secondary data, allocation and cut-off choices, confidentiality vs. transparency, comparability caveats (only within the same PCR and scope), and how independent verification works. Practical tools include PCR checklists, EPD content templates, data-quality matrices, and verification readiness reviews. We also discuss maintenance (validity periods, updates) and how EPDs support green procurement and design decisions without overstating claims. Suitable for manufacturers, material suppliers, and service providers seeking credible environmental disclosures.
Distinguish Type I/II/III labels; position EPDs within ISO family
Scope LCA studies that align with applicable PCRs
Build data-quality plans; handle allocation and cut-offs
Draft EPD content: boundaries, results tables, assumptions, limits
Work with program operators and verification bodies
Understand comparability rules and claims wording
Plan publication, validity, and updates
Link EPD insights to procurement and design decisions
Sustainability/ESG and environmental managers
Product, materials, and packaging leaders
LCA practitioners and analysts
Marketing/compliance and procurement teams
Quality/IMS managers integrating multiple ISO systems
Basic ISO 14001 and LCA awareness (ISO 14040/44)
Familiarity with product/process data and suppliers
Comfort with spreadsheets and simple data checks
Exposure to product stewardship or procurement programs
Awareness of local claims/marketing guidance