Course Outline
Foundations and Reliable Use of GenAI
- Essentials of AI and GenAI: understanding capabilities, limitations, and value-addition points
- Practical prompting strategies: developing reusable prompt structures, defining clear inputs, constraints, and output formats
- Iterative refinement: improving results through feedback loops and structured instructional techniques
- Ensuring output quality: implementing checklists, cross-verification, assumption tracking, and acceptance criteria
- Standardization: creating templates for technical notes, executive summaries, reports, and action items
- Documentation and requirements management: drafting, refining, structuring, and summarizing change and requirement specifications
- Ethical and secure usage: adherence to confidentiality, IP protection, and governance principles
- Practical application: exercises using realistic, anonymized business scenarios
Applied Use Cases, Productivity, and Workflow Integration
- Advanced analysis and reporting: transforming raw data into structured insights and executive-ready briefs
- Enhanced problem-solving: leveraging AI for root cause analysis and strategic action planning
- Streamlined cross-functional communication: improving decision clarity, handovers, meeting minutes, and stakeholder alignment
- AI as a coding copilot: safely generating and reviewing code snippets, pseudocode, and test logic
- Accelerating knowledge work: developing reusable procedures, internal standards, and knowledge base articles
- Workflow integration: establishing repeatable end-to-end processes from initial request to final deliverable, including validation steps
- Resource libraries: curating role-specific prompt collections and checklists to enhance consistency and adoption
- Capstone project and adoption roadmap: translating a specific practical case into a repeatable workflow, identifying quick wins, and establishing simple metrics for success
Requirements
This course is tailored for professionals in engineering, technical, and operational sectors who manage documentation, structured processes, data-informed 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 routine tasks, without necessitating advanced programming or data science expertise. Additionally, the training is highly relevant for business support and operational roles that frequently engage with technical data and require more consistent, clear, and timely 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 !
