Day01
AI Foundations for Large Language Models For Business
- Generative AI and LLM operating principles
- Prompt structure, context and instruction design
- Reusable prompt patterns for professional work
- Retrieval, grounding and source verification
AI-016
Artificial Intelligence and Machine Learning
PROGRAMME BROCHURE
Large Language Models for Business
Five days of practical AI application, governance and implementation for Large Language Models For Business.
KAIZEN EUROPEAN ACADEMY
Executive & Professional Development
www.kaizeneurope.academy
01
Programme Overview
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.
02
Learning Objectives
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.
Who Should Attend
Professionals, specialists, supervisors and managers whose responsibilities involve large language models for business or who need to build practical capability in this area.
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.
Learning Outcomes
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.
Prerequisites
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
03
Course Outline
Day02
AI Use Cases and Workflow Design in Large Language Models For Business
- Generating, summarizing and transforming content
- Structured outputs and workflow templates
- AI copilots and productivity scenarios
- AI agents and multi-step workflows
Day03
AI Tools, Data and Automation for Large Language Models For Business
- Evaluating generated output quality
- Reducing hallucinations and unsupported claims
- Confidentiality and data-handling boundaries
- Copyright, ownership and responsible use
Day04
Responsible AI, Risk and Governance in Large Language Models For Business
- Human review and approval controls
- Team prompt libraries and governance
- Integrating GenAI into existing processes
- Measuring productivity and quality gains
Day05
Applied AI Lab: Large Language Models For Business Implementation
- Choosing tools and deployment options
- Change management for GenAI adoption
- Hands-on workflow design
- Implementation roadmap and guardrails
04
What You Will Receive
Programme learning materials
Practical resources and templates where applicable
Kaizen completion certificate
Participant support throughout the learning week
Kaizen European Academy
Executive & Professional Development across selected European destinations.
CONTACT & INFORMATION
Website: www.kaizeneurope.academy
Contact: www.kaizeneurope.academy/#contact