Course Outline
GenAI Fundamentals and Reliable Implementation
- Core concepts of AI and GenAI: definitions, mechanisms, value-add areas, and limitations
- Effective prompting techniques: reusable structures, precise inputs, constraints, and output formatting
- Iterative refinement: improving outputs through feedback loops and structured directives
- Quality assurance and verification: checklists, cross-referencing, assumption validation, traceability, and acceptance criteria
- Standardizing outputs: templates for technical notes, summaries, reports, and action items
- Documentation and requirements management: drafting, rewriting, structuring, summarizing, and managing changes
- Ethical usage and data security: confidentiality, IP protection, governance standards, and safety protocols
- Practical exercises using realistic, anonymized scenarios
Applied Scenarios, Productivity Enhancement, and Workflow Integration
- Analysis and reporting: transforming raw data into structured insights and executive summaries
- Problem-solving and troubleshooting: AI-assisted root cause analysis and action planning
- Cross-functional communication: clarifying decisions, managing handovers, recording minutes, and aligning stakeholders
- AI as a development copilot: secure generation and review of code snippets, pseudocode, and test logic
- Accelerating knowledge work: creating reusable procedures, internal standards, and knowledge base materials
- Workflow integration: establishing repeatable end-to-end processes from request to delivery with validation steps
- Prompt libraries and checklists: role-specific collections to enhance consistency and adoption
- Capstone project and 30-day adoption plan: converting individual practical cases into repeatable workflows with quick wins and basic metrics
Requirements
This program is tailored for experts 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 elevate productivity and deliver high-quality outputs using Generative AI in daily tasks, without necessitating advanced coding or data science expertise. Additionally, the course holds value for operational and business support positions that regularly engage with technical data and require clearer, faster, and more uniform 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 !
