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Course Outline

Fundamentals and Applications of Generative AI

  1. Introduction to Generative AI
  • Understanding Gen AI: Mechanisms and Functionality
  • Language models and their inherent limitations
  • The role of human oversight in AI-assisted workflows

2. Applying Gen AI for Business Analysts

  • Supporting problem analysis
  • Structuring and organizing information
  • Drafting documents and reports

3. Practical Prompting Techniques

  • Formulating effective prompts
  • Managing context, objectives, and constraints
  • Iteratively refining outputs

4. Supporting Business Analysis Tasks

  • Defining business problems
  • Formulating testable hypotheses
  • Conducting scenario analysis

5. AI-Assisted Analytical Documentation

  • Documenting business requirements
  • Creating process descriptions
  • Compiling workshop notes and summaries

Integrating AI into Daily Workflow

  1. Leveraging Gen AI as a thinking aid, not a replacement
  • Critically assessing AI outputs
  • Verifying and validating content
  • Avoiding blind automation

2. Using AI in Stakeholder Communication

  • Preparing communications and status updates
  • Simplifying complex content for clarity
  • Tailoring messages for diverse audiences

3. Risks and Responsibilities

  • Ensuring data privacy and confidentiality
  • Maintaining accountability for AI-generated content
  • Addressing ethical considerations

4. Building a Custom BA Workflow with AI

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

 

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).
  • Domain knowledge: A foundational understanding of Key Performance Indicators (KPIs) within one's business area and familiarity with organizational data lifecycle processes.

Audience

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

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