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 Duration 14 hours

Course Outline

Fundamentals and Applications of Gen AI

Introduction to Generative AI

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

Gen AI for the Business Analyst

  • Assistance in problem analysis
  • Structuring and organizing information
  • Drafting documents and reports

Practical Prompting

  • Techniques for formulating effective prompts
  • Managing context, objectives, and constraints
  • Iteratively refining outputs for better results

Enhancing Business Analysis

  • Defining and clarifying business problems
  • Formulating and testing hypotheses
  • Conducting scenario analysis

 AI-Assisted Analytical Documentation

  • Structuring business requirements
  • Writing clear process descriptions
  • Summarizing workshop notes and outcomes

Integrating AI into Daily Workflows

Gen AI as a Thinking Aid, Not a Replacement

  • Critically assessing AI-generated outputs
  • Verifying and validating content accuracy
  • Avoiding uncritical or thoughtless automation

AI in Stakeholder Communication

  • Preparing communications and progress updates
  • Simplifying complex concepts for clarity
  • Tailoring messages to suit different audiences

Risks and Responsibility

  • Safeguarding data privacy and confidentiality
  • Maintaining accountability for AI-generated content
  • Navigating ethical considerations

Building a Custom BA Workflow with AI

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

 

Requirements

  • Professional experience 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 knowledge: A foundational understanding of Key Performance Indicators (KPIs) within one's specific 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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