Course Outline
Day 1: Foundations and Reliable Use of GenAI
AI and GenAI essentials: understanding core concepts, mechanics, value addition, and limitations
Effective prompting: leveraging reusable prompt structures, clear inputs, constraints, and defined output formats
Iteration techniques: refining results via feedback loops and structured instructions
Output quality and verification: utilizing checklists, cross-checking, managing assumptions, ensuring traceability, and meeting acceptance criteria
Standardizing deliverables: creating templates for technical notes, summaries, reports, and action items
Documentation and requirements: techniques for drafting, rewriting, structuring, summarizing, and writing changes/requirements
Responsible use and data security: managing confidentiality, IP protection, governance principles, and safe-use protocols
Practical exercises using realistic, anonymized scenarios
Day 2: Applied Use Cases, Productivity, and Workflow Integration
Analysis and reporting: transforming raw data into structured insights and executive-ready summaries
Problem solving and troubleshooting: employing AI for root cause analysis and action planning
Cross-functional communication: enhancing decision clarity, streamlining handovers, creating meeting minutes, and aligning stakeholders
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: establishing repeatable end-to-end processes from request to deliverable, including validation steps
Prompt libraries and checklists: compiling role-based resources to boost consistency and adoption
Capstone practice and 30-day adoption plan: developing a repeatable workflow from one practical case per participant, focusing on quick wins and simple metrics
Requirements
This training is tailored for professionals in engineering, technical, and operational roles who deal with documentation, structured processes, data-driven decision-making, and inter-team collaboration. It is ideal for specialists and team leaders seeking to enhance productivity and output quality through Generative AI in routine tasks, without the need for advanced programming or data science expertise. The course is also beneficial for operational or business support personnel who frequently engage with technical information and require clearer, faster, and more consistent deliverables.
Testimonials (7)
The trainer's open and warm style, and the accessible language.
OPREAN ADELA - Aeronamic Eastern Europe
Course - AI Enablement Training for Engineers
Machine Translated
Adaptability and the fact that the instructor ensured that any confusion was explained and understood.
Rares Ursu - Aeronamic Eastern Europe
Course - AI Enablement Training for Engineers
Machine Translated
As I learned to correctly format a prompt
Alin Zoltan - Aeronamic Eastern Europe
Course - AI Enablement Training for Engineers
Machine Translated
The participant did not move to the next step until all learners had completed the task/exercise assigned. They explained and repeated the information whenever asked.
Drumia Radu - Gheorghe - Aeronamic Eastern Europe
Course - AI Enablement Training for Engineers
Machine Translated
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 !
