Five days of practical AI application, governance and implementation for Large Language Models For Business.
This five-day Kaizen European Academy programme is specifically about Large Language Models for Business; AI is the core subject throughout all five days. Participants learn how artificial intelligence and generative AI can be applied to Large Language Models For Business, 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 Large Language Models For Business.
Identify and prioritize high-value AI use cases in Large Language Models For Business.
Design practical human-AI workflows and validate AI outputs for Large Language Models For Business.
Manage privacy, bias, security, governance and human-oversight risks when using AI in Large Language Models For Business.
Build a practical AI pilot and implementation roadmap for Large Language Models For Business.
Professionals, specialists, supervisors and managers whose responsibilities involve large language models for business 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 Large Language Models For Business. Identify and prioritize high-value AI use cases in Large Language Models For Business. Design practical human-AI workflows and validate AI outputs for Large Language Models For Business. Manage privacy, bias, security, governance and human-oversight risks when using AI in Large Language Models For Business. Build a practical AI pilot and implementation roadmap for Large Language Models For Business.
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
Generative AI and LLM operating principles
Prompt structure, context and instruction design
Reusable prompt patterns for professional work
Retrieval, grounding and source verification
Generating, summarizing and transforming content
Structured outputs and workflow templates
AI copilots and productivity scenarios
AI agents and multi-step workflows
Evaluating generated output quality
Reducing hallucinations and unsupported claims
Confidentiality and data-handling boundaries
Copyright, ownership and responsible use
Human review and approval controls
Team prompt libraries and governance
Integrating GenAI into existing processes
Measuring productivity and quality gains
Choosing tools and deployment options
Change management for GenAI adoption
Hands-on workflow design
Implementation roadmap and guardrails
Choose one of the next planned European dates, or create a private delivery around your own schedule.
No public date is currently displayed for this programme. Choose the programme, preferred city and approximate dates. We will organise the venue, trainer and delivery format around your requirements.
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.