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 Duration 14 hours

Course Outline

Foundations and Applications of Generative AI

Introduction to Generative AI

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

Generative AI for the Business Analyst

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

Practical Prompting

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

Enhancing Business Analysis

  • Defining business problems
  • Formulating hypotheses
  • Conducting scenario analysis

AI-Assisted Analytical Documentation

  • Business requirements
  • Process descriptions
  • Workshop notes and summaries

Embedding AI into Daily Workflows

Gen AI as a Cognitive Aid, Not a Substitute

  • Critically assessing AI outputs
  • Verifying and validating content
  • Avoiding mindless automation

AI in Stakeholder Communication

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

Risks and Accountability

  • 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 background in roles involving data analysis, reporting, or business process support.
  • Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
  • Domain expertise: 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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