Course Outline
Day 1: Foundations and Reliable Use of GenAI
Core concepts of AI and GenAI: understanding functionality, value proposition, and limitations
Prompt engineering: utilizing reusable prompt structures, clear inputs, constraints, and defined output formats
Refinement techniques: improving results through feedback loops and structured instructions
Ensuring output quality and verification: using checklists, cross-checking, addressing 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 change/requirement documents
Ethical use and data security: maintaining confidentiality, protecting IP, applying governance principles, and adhering to safe-use guidelines
Hands-on practice 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: leveraging AI for root cause analysis and action planning
Cross-functional communication: enhancing decision clarity, handovers, meeting minutes, and stakeholder alignment
AI as a coding and automation copilot: safely generating and reviewing code 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, including validation steps
Prompt libraries and checklists: curating role-specific collections to improve consistency and adoption
Capstone exercise and 30-day adoption plan: converting one practical case per participant into a repeatable workflow, focusing on quick wins and straightforward measurement
Requirements
This training is tailored for professionals in engineering, technical, and operational fields who manage documentation, structured processes, data-driven decision-making, and inter-team collaboration. It is ideal for specialists and team leaders seeking to boost productivity and output quality through Generative AI in their daily tasks, without the need for advanced programming or data science expertise. The course also benefits operational or business support roles that regularly engage with technical information and require clearer, faster, and more consistent deliverables.
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 !
