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Course Outline

Fundamentals and Applications of Gen AI

  1. Introduction to Generative AI
  • Understanding Gen AI and its underlying mechanisms
  • Language models and their inherent limitations
  • The essential role of human oversight in AI-assisted work

2. Gen AI for the Business Analyst

  • Enhancing problem analysis
  • Structuring information
  • Drafting documents and reports

3. Practical Prompting

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

4. Supporting Business Analysis

  • Defining business problems
  • Formulating hypotheses
  • Conducting scenario analysis

5. AI-Assisted Analytical Documentation

  • Business requirements
  • Process descriptions
  • Workshop notes and summaries

Integrating AI into Daily Workflow

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

2. AI in Stakeholder Communication

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

3. Risks and Responsibility

  • Data privacy and confidentiality
  • Accountability for AI-generated content
  • Ethical considerations

4. Building a Custom BA Workflow with AI

  • Practical use-case scenarios
  • Integration with productivity tools
  • 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: Basic understanding of Key Performance Indicators (KPIs) within one's specific business area and familiarity with organizational data lifecycles.

Target Audience

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

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