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 Duration 14 hours

Course Outline

Gen AI Fundamentals and Applications

Introduction to Generative AI

  • The definition of Gen AI and its operational mechanisms
  • Language models and their inherent limitations
  • The role of human oversight in AI-assisted workflows

Gen AI for Business Analysts

  • Aiding in problem analysis
  • Structuring information effectively
  • Drafting documents and reports

Practical Prompting

  • Techniques for formulating effective prompts
  • Defining context, objectives, and constraints
  • Iterative refinement of AI outputs

Enhancing Business Analysis

  • Defining business problems clearly
  • Formulating and testing hypotheses
  • Conducting scenario analysis

 AI-Assisted Analytical Documentation

  • Drafting business requirements
  • Describing processes accurately
  • Summarizing workshop notes and insights

Integrating AI into Daily Workflows

Gen AI as a Cognitive Aid, Not a Substitute

  • Critically assessing AI-generated outputs
  • Verifying and validating content
  • Preventing mindless automation

AI in Stakeholder Communication

  • Preparing communications and progress updates
  • Simplifying complex information
  • Tailoring messages for diverse audiences

Risks and Accountability

  • Managing data privacy and confidentiality
  • Assuming accountability for AI-generated content
  • Navigating ethical considerations

Developing a Custom BA Workflow with AI

  • Exploring practical use-case scenarios
  • Integrating with existing productivity tools
  • Establishing team best practices

 

Requirements

  • Professional background in roles related to data analysis, reporting, or business process support.
  • Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
  • Domain knowledge: A fundamental understanding of Key Performance Indicators (KPIs) within your business area and familiarity with the organizational data lifecycle.

Target Audience

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

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