Course Outline

Day 1: Foundations and Reliable Use of GenAI

AI and GenAI essentials: what it is, how it works, where it adds value, and where it fails

Practical prompting: reusable prompt structures, clear inputs, constraints, and output formats

Iteration techniques: refining results through feedback loops and structured instructions

Output quality and verification: checklists, cross-checking, assumptions, traceability, acceptance criteria

Standardizing deliverables: templates for technical notes, summaries, reports, and action items

Documentation and requirements: drafting, rewriting, structuring, summarizing, and change/requirement writing

Responsible use and data security: confidentiality, IP protection, governance principles, and safe-use rules

Hands-on practice with realistic, anonymized scenarios


Day 2: Applied Use Cases, Productivity, and Workflow Integration

Analysis and reporting: converting raw inputs into structured insights and executive-ready summaries

Problem solving and troubleshooting: AI-supported root cause analysis and action planning

Cross-functional communication: decision clarity, handovers, meeting minutes, and stakeholder alignment

AI as a copilot for code and automation: safe generation and review of snippets, pseudocode, and test logic

Knowledge work acceleration: building reusable procedures, internal standards, and knowledge-base content

Workflow integration: repeatable end-to-end processes from request to deliverable, with validation steps

Prompt libraries and checklists: role-based collections to improve consistency and adoption

Capstone practice and 30-day adoption plan: one practical case per participant turned into a repeatable workflow, with quick wins and simple measurement
 

Requirements

This training is designed for professionals working in engineering, technical, and operational environments who handle documentation, structured processes, data-driven decisions, and collaboration across teams. It is suitable for specialists and team leads who want to improve productivity and output quality using Generative AI in everyday tasks, without requiring advanced programming or data science experience. The course is also relevant for operational or business support roles that frequently interact with technical information and need clearer, faster, and more consistent deliverables.

 14 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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