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 Duration 14 hours

Course Outline

Foundations and Applications of Gen AI

Introduction to Generative AI

  • The definition of Gen AI and its operational mechanics
  • Language models and their inherent limitations
  • The role of humans in AI-assisted workflows

Gen AI for Business Analysts

  • Aiding in problem analysis
  • Structuring information
  • Drafting reports and documentation

Practical Prompting

  • Techniques for formulating effective prompts
  • Defining context, objectives, and constraints
  • Refining outputs through iteration

Supporting Business Analysis

  • Identifying business problems
  • Formulating hypotheses
  • Conducting scenario analysis

 AI-Assisted Analytical Documentation

  • Business requirements
  • Process descriptions
  • Workshop notes and summaries

Integrating AI into Daily Workflows

Gen AI as a Cognitive Aid, Not a Substitute

  • Critical evaluation of AI outputs
  • Verification and validation of content
  • Preventing uncritical automation

AI in Stakeholder Communication

  • Preparing communications and status updates
  • Simplifying complex information
  • Adapting messages for various 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
  • Best practices for teams

 

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 understanding: A foundational grasp of Key Performance Indicators (KPIs) relevant to 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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