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 Duration 14 hours

Course Outline

Fundamentals and Applications of Gen AI

Introduction to Generative AI

  • The nature of Gen AI and its operational mechanisms
  • Language models and their inherent constraints
  • The critical role of humans in AI-assisted workflows

Gen AI for the Business Analyst

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

Practical Prompting

  • Formulating effective prompts
  • Defining context, objectives, and constraints
  • Refining outputs through iteration

Enhancing Business Analysis

  • Defining business problems
  • Formulating hypotheses
  • Conducting scenario analysis

 AI-Assisted Analytical Documentation

  • Documenting business requirements
  • Describing processes
  • Recording workshop notes and summaries

Integrating AI into Daily Workflows

Gen AI as a Thinking Aid, Not a Replacement

  • Critically assessing AI outputs
  • Verifying and validating content
  • Preventing indiscriminate automation

AI in Stakeholder Communication

  • Preparing communications and updates
  • Simplifying complex content
  • Customizing messages for various audiences

Risks and Responsibility

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

Developing 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 proficiency: Skills in MS Excel, specifically lookup functions, pivot tables, and basic charting.
  • Domain knowledge: A fundamental understanding of Key Performance Indicators (KPIs) within your business sector 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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