Five days of practical AI application, governance and implementation for Securing Systems.
This five-day Kaizen European Academy programme is specifically about Securing Generative AI Systems; AI is the core subject throughout all five days. Participants learn how artificial intelligence and generative AI can be applied to Securing Systems, design practical workflows, evaluate tools and outputs, manage governance and risk, and build an implementation roadmap supported by hands-on exercises.
Explain the AI, generative AI and automation concepts most relevant to Securing Systems.
Identify and prioritize high-value AI use cases in Securing Systems.
Design practical human-AI workflows and validate AI outputs for Securing Systems.
Manage privacy, bias, security, governance and human-oversight risks when using AI in Securing Systems.
Build a practical AI pilot and implementation roadmap for Securing Systems.
Professionals, specialists, supervisors and managers whose responsibilities involve securing generative ai systems or who need to build practical capability in this area.
Instructor-led explanation, facilitated discussion, subject-specific case studies, practical templates, individual and group exercises, simulations or technical scenarios where appropriate, peer review and a final implementation workshop.
Explain the AI, generative AI and automation concepts most relevant to Securing Systems. Identify and prioritize high-value AI use cases in Securing Systems. Design practical human-AI workflows and validate AI outputs for Securing Systems. Manage privacy, bias, security, governance and human-oversight risks when using AI in Securing Systems. Build a practical AI pilot and implementation roadmap for Securing Systems.
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
AI capabilities, limitations and business value
Machine learning, generative AI and large language model concepts
Selecting high-value AI use cases
Data requirements and model inputs
Prompt design and interaction patterns
Human-AI workflow design
AI-assisted analysis and decision support
Automation and intelligent agents
Evaluating accuracy, hallucination and output quality
AI governance and accountability
Bias, fairness and responsible AI
Privacy, confidentiality and information security
Model risk and human oversight
AI adoption and change management
AI value measurement and ROI
Building an AI implementation roadmap
Vendor and platform evaluation
AI policy and acceptable-use controls
Practical AI workflow prototyping
Scaling AI safely across teams
Choose one of the next planned European dates, or create a private delivery around your own schedule.
This programme can be scheduled across our European training destinations. Venue and trainer are confirmed separately for each session.
Final venue, dates and trainer are confirmed when the session is scheduled.
