01 · Who Should Attend
Who Should Attend
Professionals, specialists, supervisors and managers whose responsibilities involve generative ai automation or who need to build practical capability in this area.
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Generative AI Automation
Five days of practical AI application, governance and implementation for Automation.
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AI enhanced
Programme at a glance
ReferenceAI-017
Duration5 days
LevelProfessional
Learning topics20
This five-day Kaizen European Academy programme is specifically about Generative AI Automation; AI is the core subject throughout all five days. Participants learn how artificial intelligence and generative AI can be applied to Automation, 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 Automation.
Identify and prioritize high-value AI use cases in Automation.
Design practical human-AI workflows and validate AI outputs for Automation.
Manage privacy, bias, security, governance and human-oversight risks when using AI in Automation.
Build a practical AI pilot and implementation roadmap for Automation.
02 · Programme Methodology
Programme Methodology
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.
03 · Learning Outcomes
Learning Outcomes
Explain the AI, generative AI and automation concepts most relevant to Automation. Identify and prioritize high-value AI use cases in Automation. Design practical human-AI workflows and validate AI outputs for Automation. Manage privacy, bias, security, governance and human-oversight risks when using AI in Automation. Build a practical AI pilot and implementation roadmap for Automation.
04 · Prerequisites
Prerequisites
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
Day
01
Module 1
AI Foundations for Automation
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
Day
02
Module 2
AI Use Cases and Workflow Design in Automation
Prompt design and interaction patterns
Human-AI workflow design
AI-assisted analysis and decision support
Automation and intelligent agents
Day
03
Module 3
AI Tools, Data and Automation for Automation
Evaluating accuracy, hallucination and output quality
AI governance and accountability
Bias, fairness and responsible AI
Privacy, confidentiality and information security
Day
04
Module 4
Responsible AI, Risk and Governance in Automation
Model risk and human oversight
AI adoption and change management
AI value measurement and ROI
Building an AI implementation roadmap
Day
05
Module 5
Applied AI Lab: Automation Implementation
Vendor and platform evaluation
AI policy and acceptable-use controls
Practical AI workflow prototyping
Scaling AI safely across teams
Live learning calendar
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Choose one of the next planned European dates, or create a private delivery around your own schedule.
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European training destinations
This programme can be scheduled across our European training destinations. Venue and trainer are confirmed separately for each session.
39cities
20countries
Final venue, dates and trainer are confirmed when the session is scheduled.
KAIZEN EUROPEAN ACADEMY