Course Outline
Core Principles and Effective Utilisation of GenAI
- Essentials of AI and GenAI: understanding capabilities, operational mechanics, value proposition, and limitations
- Effective Prompt Engineering: developing reusable prompt architectures, clear inputs, specific constraints, and defined output formats
- Refinement Techniques: optimising results via feedback loops and structured instructional design
- Quality Assurance and Verification: implementing checklists, cross-validation, assumption testing, traceability, and acceptance criteria
- Standardisation of Outputs: creating templates for technical notes, summaries, reports, and action items
- Documentation and Requirements Management: drafting, revising, structuring, summarising, and managing change and requirement documentation
- Ethical Deployment and Data Security: upholding confidentiality, protecting IP, adhering to governance principles, and safe usage guidelines
- Practical Application: exercises using realistic, anonymised scenarios
Practical Applications, Productivity Enhancement, and Workflow Integration
- Advanced Analysis and Reporting: transforming raw data into structured insights and executive-ready summaries
- Problem Solving and Troubleshooting: leveraging AI for root cause analysis and strategic action planning
- Enhancing Cross-functional Communication: ensuring decision clarity, seamless handovers, accurate meeting minutes, and stakeholder alignment
- AI as a Development Copilot: safely generating and reviewing code snippets, pseudocode, and test logic
- Accelerating Knowledge Work: developing reusable procedures, internal standards, and comprehensive knowledge-base content
- Workflow Integration: establishing repeatable end-to-end processes from request to delivery, incorporating validation steps
- Prompt Libraries and Checklists: role-specific collections to enhance consistency and facilitate adoption
- Capstone Exercise and 30-day Adoption Strategy: converting individual practical cases into repeatable workflows, focusing on quick wins and basic performance metrics
Requirements
Tailored for professionals within engineering, technical, and operational sectors, this course supports those engaged in documentation management, structured processes, data-informed decision-making, and inter-team collaboration. It is ideal for specialists and team leaders seeking to elevate productivity and deliverable quality through Generative AI in routine tasks, without necessitating advanced programming or data science expertise. The programme is equally beneficial for operational and business support roles that require frequent interaction with technical data and depend on clearer, faster, and more consistent outputs.
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 !
