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 Duration 14 hours

Course Outline

Foundations and Operational Applications of Generative AI

  1. Overview of Generative AI
  • Definition of Generative AI and operational mechanisms
  • Language models and associated constraints
  • The critical role of human oversight in AI-supported operations

2. Applications of Generative AI for Business Analysis

  • Assistance in identifying and analyzing problems
  • Structuring and organizing information effectively
  • Generating drafts for official documents and reports

3. Practical Prompt Engineering Techniques

  • Methods for crafting effective and precise prompts
  • Defining context, objectives, and operational constraints
  • Refining outputs through iterative feedback loops

4. Enhancing Business Analysis Functions

  • Clearly defining complex business issues
  • Developing and testing hypotheses
  • Conducting scenario-based assessments

5. AI-Enhanced Analytical Documentation

  • Drafting business requirements specifications
  • Developing clear process descriptions
  • Compiling workshop notes and executive summaries

Integrating AI into Daily Government Workflows

  1. Utilizing Generative AI as a decision-support tool
  • Critical evaluation of AI-generated responses
  • Verifying accuracy and validating content integrity
  • Preventing uncritical reliance on automated processes

2. AI in Stakeholder Communications for Government

  • Preparing official communications and status updates
  • Simplifying complex information for public understanding
  • Tailoring messaging to specific government audiences

3. Risk Management and Accountability

  • Maintaining data privacy and confidentiality standards
  • Establishing accountability for AI-assisted outputs
  • Addressing ethical considerations in public sector AI use

4. Developing AI-Integrated Analyst Workflows

  • Implementing practical use-case scenarios for government
  • Integrating with existing productivity systems
  • Adopting team-based best practices for consistency

Requirements

  • Professional experience in roles related to data analysis, reporting, or business process support.
  • Technical skills: Proficiency in MS Excel, including lookup functions, pivot tables, and basic charting capabilities.
  • Domain knowledge: A foundational understanding of Key Performance Indicators (KPIs) within one’s operational area and familiarity with organizational data lifecycle processes.

Target Audience

  • Business and Systems Analysts.
  • Product Owners and Product Managers.
  • Business Consultants.
  • Requirements Engineering Specialists.

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