Course Outline

Day 1: Foundations and Reliable Use of GenAI for Government

AI and Generative AI (GenAI) essentials: an overview of what these technologies are, how they function, their areas of value, and limitations

Practical prompting techniques: developing reusable prompt structures, providing clear inputs, setting constraints, and defining output formats

Iteration methods: enhancing results through feedback loops and structured instructions

Output quality assurance and verification: implementing checklists, cross-checking procedures, identifying assumptions, ensuring traceability, and establishing acceptance criteria

Standardizing deliverables for government: creating templates for technical notes, summaries, reports, and action items

Documentation and requirements management: techniques for drafting, rewriting, structuring, summarizing, and managing change and requirement writing

Responsible use and data security for government: ensuring confidentiality, intellectual property (IP) protection, adherence to governance principles, and compliance with safe-use rules

Hands-on practice with realistic, anonymized scenarios
Day 2: Applied Use Cases, Productivity, and Workflow Integration for Government

Analysis and reporting: transforming raw data into structured insights and executive-ready summaries

Problem-solving and troubleshooting: leveraging AI-supported root cause analysis and action planning

Cross-functional communication for government: enhancing decision clarity, handovers, meeting minutes, and stakeholder alignment

AI as a copilot for code and automation: safe generation and review of code snippets, pseudocode, and test logic

Accelerating knowledge work for government: developing reusable procedures, internal standards, and knowledge-base content

Workflow integration for government: establishing repeatable end-to-end processes from request to deliverable, with validation steps

Prompt libraries and checklists for government: creating role-based collections to improve consistency and adoption

Capstone practice and 30-day adoption plan for government: converting one practical case per participant into a repeatable workflow, identifying quick wins, and implementing simple measurement techniques

Requirements

This training program is designed for professionals working in engineering, technical, and operational environments who manage documentation, structured processes, data-driven decisions, and team collaboration. It is particularly suitable for specialists and team leaders who seek to enhance productivity and output quality by leveraging Generative AI in their daily tasks, without the need for advanced programming or data science expertise. The course is also relevant for those in operational or business support roles that frequently engage with technical information and require clearer, faster, and more consistent deliverables for government workflows.
 14 Hours

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