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 Duration 14 hours

Course Outline

Foundations and Applications of Gen AI

Overview of Generative AI

  • Defining Gen AI and its operational mechanics
  • Language models and their inherent boundaries
  • The role of human oversight in AI-assisted tasks

Gen AI for the Business Analyst

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

Practical Prompting Techniques

  • Crafting effective prompts
  • Managing context, objectives, and constraints
  • Refining outputs through iterative processes

Enhancing Business Analysis

  • Identifying and defining business problems
  • Formulating hypotheses
  • Conducting scenario analysis

 AI-Assisted Analytical Documentation

  • Drafting business requirements
  • Documenting process descriptions
  • Summarizing workshop notes and outcomes

Incorporating AI into Daily Workflows

Gen AI as a Cognitive Aid, Not a Substitute

  • Critical evaluation of AI outputs
  • Verifying and validating content accuracy
  • Preventing indiscriminate automation

AI in Stakeholder Engagement

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

Risks and Accountability

  • Data privacy and confidentiality standards
  • Accountability for AI-generated content
  • Ethical considerations in AI use

Developing Custom BA Workflows with AI

  • Practical use-case scenarios
  • Integration with existing productivity tools
  • Establishing team best practices

 

Requirements

  • Professional background in roles associated with data analysis, reporting, or business process support.
  • Technical proficiency: Competence in MS Excel, specifically with lookup functions, pivot tables, and basic charting.
  • Domain expertise: 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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