Course Outline
Day 1: Foundations and Reliable Use of GenAI
AI and GenAI essentials: understanding core concepts, mechanisms, value propositions, and limitations
Practical prompting: utilising reusable prompt structures, clear inputs, constraints, and defined output formats
Iteration techniques: refining outputs through feedback loops and structured instructions
Output quality and verification: employing checklists, cross-checking, managing assumptions, ensuring traceability, and defining acceptance criteria
Standardizing deliverables: creating templates for technical notes, summaries, reports, and action items
Documentation and requirements: skills in drafting, rewriting, structuring, summarising, and writing change/requirement specifications
Responsible use and data security: principles of confidentiality, IP protection, governance, and safe-use protocols
Hands-on practice using realistic, anonymised scenarios
Day 2: Applied Use Cases, Productivity, and Workflow Integration
Analysis and reporting: transforming raw inputs into structured insights and executive-ready summaries
Problem solving and troubleshooting: leveraging AI for root cause analysis and action planning
Cross-functional communication: enhancing decision clarity, handovers, meeting minutes, and stakeholder alignment
AI as a copilot for code and automation: safely generating and reviewing code snippets, pseudocode, and test logic
Knowledge work acceleration: developing reusable procedures, internal standards, and knowledge-base content
Workflow integration: implementing repeatable end-to-end processes from request to deliverable, including validation steps
Prompt libraries and checklists: curating role-based collections to improve consistency and adoption rates
Capstone practice and 30-day adoption plan: converting one practical case per participant into a repeatable workflow, focusing on quick wins and straightforward measurement
Requirements
Designed for professionals in engineering, technical, and operational roles who manage documentation, structured processes, data-driven decision-making, and cross-team collaboration. This training is ideal for specialists and team leaders seeking to enhance productivity and output quality using Generative AI in routine tasks, with no advanced programming or data science background required. It is also highly relevant for operational or business support functions that frequently engage with technical information and require clearer, faster, and more consistent deliverables.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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Testimonials (3)
The extensive selection of tools presented
Miruna Buzduga - Aeronamic Eastern Europe
Course - AI Enablement Training for Engineers
The training style, preparation quality and focus on the important/relevant points, good tips, opening for any question with complete answers, info share willing, overall the high know how of the trainer combined with the training method.
Teofil Laurentiu Sasu - Aeronamic Eastern Europe
Course - AI Enablement Training for Engineers
Almost everything !
