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 Duration 14 hours

Course Outline

Gen AI: Fundamentals and Practical Applications

Foundations of Generative AI

  • Defining Gen AI and understanding its operational mechanics.
  • Exploring language models and their inherent limitations.
  • The essential role of human oversight in AI-assisted tasks.

Gen AI for the Business Analyst

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

Practical Prompt Engineering

  • Techniques for crafting effective and precise prompts.
  • Defining context, objectives, and constraints.
  • Refining outputs through iterative feedback loops.

Enhancing Business Analysis

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

AI-Assisted Analytical Documentation

  • Documenting business requirements.
  • Describing business processes.
  • Summarizing workshop notes and meeting outcomes.

Integrating AI into Daily Workflows

Gen AI as a Cognitive Aid

  • Critical assessment of AI-generated content.
  • Verifying and validating outputs for accuracy.
  • Preventing blind automation and maintaining professional judgment.

AI in Stakeholder Engagement

  • Preparing clear communications and status updates.
  • Simplifying complex concepts for clarity.
  • Tailoring messages for diverse stakeholder groups.

Risks and Accountability

  • Maintaining data privacy and confidentiality.
  • Assuming responsibility for AI-generated content.
  • Navigating ethical considerations in AI use.

Developing a Custom BA Workflow with AI

  • Applying practical use-case scenarios.
  • Integrating AI with existing productivity tools.
  • Adopting team best practices for AI adoption.

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 awareness: A foundational understanding of Key Performance Indicators (KPIs) within your specific business area, along with familiarity with organizational data lifecycles.

Target Audience

  • Business and Systems Analysts.
  • Product Owners and Product Managers.
  • Business Consultants.
  • Requirements Engineering Specialists.

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