Course Outline
Day 1: Foundations and Reliable Use of GenAI
Core concepts of AI and Generative AI: understanding its capabilities, mechanisms, value proposition, and limitations
Effective prompting: utilizing reusable prompt structures, precise inputs, defined constraints, and specified output formats
Iteration strategies: enhancing results through feedback loops and structured instructions
Ensuring output quality and verification: employing checklists, cross-verification, identifying assumptions, ensuring traceability, and defining acceptance criteria
Standardizing deliverables: creating templates for technical notes, summaries, reports, and action items
Documentation and requirements management: drafting, rewriting, structuring, summarizing, and writing changes/requirements
Responsible usage and data security: maintaining confidentiality, protecting intellectual property, adhering to governance principles, and following safe-use guidelines
Practical application using realistic, anonymized 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: ensuring decision clarity, efficient handovers, accurate meeting minutes, and stakeholder alignment
AI as a copilot for code and automation: safely generating and reviewing snippets, pseudocode, and test logic
Accelerating knowledge work: developing reusable procedures, internal standards, and knowledge-base content
Workflow integration: establishing repeatable end-to-end processes from request to deliverable, incorporating validation steps
Prompt libraries and checklists: assembling role-based collections to enhance consistency and adoption
Capstone practice and 30-day adoption plan: converting one practical case per participant into a repeatable workflow, focusing on quick wins and simple measurement
Requirements
Designed for professionals in engineering, technical, and operational fields who manage documentation, structured processes, data-driven decisions, and cross-team collaboration. This training is ideal for specialists and team leads seeking to enhance productivity and output quality through the use of Generative AI in daily tasks, without the need for advanced programming or data science backgrounds. It is also pertinent for operational or business support roles that regularly 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 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 !
