Course Outline
Foundations and Reliable Use of GenAI
- Essentials of AI and GenAI: understanding the technology, its mechanics, its value-added areas, and its limitations
- Practical prompting: leveraging reusable prompt architectures, precise inputs, constraints, and defined output formats
- Iteration techniques: optimizing outcomes via feedback loops and structured directives
- Output quality and verification: employing checklists, cross-referencing, assumption testing, traceability, and acceptance criteria
- Standardizing deliverables: creating templates for technical notes, summaries, reports, and action items
- Documentation and requirements: covering drafting, rewriting, structuring, summarizing, and change or requirement authoring
- Responsible use and data security: addressing confidentiality, IP protection, governance principles, and safe usage protocols
- Hands-on practice using realistic, anonymized scenarios
Applied Use Cases, Productivity, and Workflow Integration
- Analysis and reporting: transforming raw data into structured insights and executive-level summaries
- Problem solving and troubleshooting: utilizing AI for root cause analysis and strategic action planning
- Cross-functional communication: enhancing decision clarity, handovers, meeting minutes, and stakeholder alignment
- AI as a copilot for code and automation: safe creation and review of code snippets, pseudocode, and test logic
- Knowledge work acceleration: developing reusable procedures, internal standards, and knowledge base content
- Workflow integration: establishing repeatable end-to-end processes from initial request to final deliverable, including validation steps
- Prompt libraries and checklists: role-specific collections designed to boost consistency and adoption rates
- Capstone practice and 30-day adoption plan: converting a practical case per participant into a repeatable workflow, focusing on quick wins and simple metrics
Requirements
This training is tailored for professionals operating within engineering, technical, and operational contexts who engage with documentation, structured processes, data-driven decision-making, and team collaboration. It is ideal for specialists and team leads seeking to elevate productivity and output quality through Generative AI in their daily routines, without needing advanced programming or data science expertise. The course is equally pertinent for operational or business support roles that frequently process technical information and require clearer, faster, and more consistent outputs.
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 3200 € + 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 !
