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 Duration 14 hours

Course Outline

Gen AI Fundamentals and Practical Applications

Introduction to Generative AI

  • Defining Gen AI and understanding its operational mechanics
  • Exploring language models and their inherent limitations
  • The critical role of humans in AI-assisted workflows

Gen AI for Business Analysts

  • Assisting with problem analysis
  • Structuring complex information
  • Drafting professional documents and reports

Practical Prompting Techniques

  • Formulating highly effective prompts
  • Defining context, objectives, and constraints
  • Iteratively refining AI outputs

Enhancing Business Analysis

  • Clearly defining business problems
  • Formulating and testing hypotheses
  • Conducting scenario analysis

 AI-Assisted Analytical Documentation

  • Refining business requirements
  • Describing processes effectively
  • Summarizing workshop notes and outcomes

Integrating AI into Daily Workflows

Gen AI as a Cognitive Aid, Not a Substitute

  • Critically assessing AI-generated outputs
  • Verifying and validating content accuracy
  • Preventing blind automation

AI in Stakeholder Communication

  • Preparing effective communications and status updates
  • Simplifying complex concepts
  • Customizing messages for diverse audiences

Risks and Accountability

  • Managing data privacy and confidentiality
  • Taking ownership of AI-generated content
  • Navigating ethical considerations

Crafting a Custom BA Workflow with AI

  • Exploring practical use-case scenarios
  • Integrating AI with existing productivity tools
  • Establishing team best practices

 

Requirements

  • Professional background in roles related to data analysis, reporting, or business process support.
  • Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
  • Domain expertise: A foundational understanding of Key Performance Indicators (KPIs) within your specific business area, along with 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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