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 Duration 14 hours

Course Outline

Fundamentals and Applications of Gen AI

Introduction to Generative AI

  • The definition and operational mechanics of Gen AI.
  • Understanding language models and their inherent limitations.
  • The critical role of humans in AI-assisted workflows.

Gen AI for the Business Analyst

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

Practical Prompting Techniques

  • Strategies for crafting effective prompts.
  • Defining context, objectives, and constraints.
  • Iteratively refining AI outputs for better results.

Enhancing Business Analysis with AI

  • Clearly defining business problems.
  • Formulating testable hypotheses.
  • Conducting scenario analysis.

AI-Assisted Analytical Documentation

  • Documenting business requirements.
  • Describing business processes.
  • Summarizing workshop notes and key takeaways.

Integrating AI into Daily Workflows

Gen AI as a Thinking Aid, Not a Substitute

  • Critically assessing AI-generated content.
  • Verifying and validating information accuracy.
  • Preventing thoughtless automation of tasks.

AI in Stakeholder Communication

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

Risks and Professional Responsibility

  • Managing data privacy and confidentiality.
  • Taking accountability for AI-generated content.
  • Navigating ethical considerations in AI use.

Developing a Custom BA Workflow with AI

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

 

Requirements

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

Target Audience

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

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