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 Duration 14 hours

Course Outline

Core Principles and Practical Uses of Gen AI

Introduction to Generative AI

  • Defining Gen AI and exploring its operational mechanisms
  • Language models and their inherent constraints
  • The crucial role of human oversight in AI-assisted tasks

Gen AI for Business Analysts

  • Aiding in the analysis of complex problems
  • Structuring and organizing information
  • Drafting professional documents and reports

Practical Prompting Techniques

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

Enhancing Business Analysis

  • Identifying and defining core business challenges
  • Formulating and testing hypotheses
  • Conducting scenario-based analyses

AI-Supported Analytical Documentation

  • Articulating business requirements
  • Describing business processes
  • Documenting workshop notes and generating summaries

Embedding AI into Everyday Workflows

Gen AI as a Cognitive Aid, Not a Substitute

  • Critical evaluation of AI-generated responses
  • Verifying and validating content accuracy
  • Preventing uncritical or thoughtless automation

AI in Stakeholder Interaction

  • Preparing status updates and communications
  • Simplifying complex topics for clarity
  • Tailoring messages to suit different audience groups

Risks and Professional Responsibility

  • Maintaining data privacy and confidentiality
  • Accepting accountability for AI-generated material
  • Addressing ethical implications

Developing a Customized BA Workflow with AI

  • Exploring practical application scenarios
  • Integrating AI with existing productivity suites
  • Establishing team-oriented best practices

 

Requirements

  • Practical experience in roles associated with data interpretation, reporting, or business process assistance.
  • Technical proficiency: Competence in MS Excel, particularly with lookup functions, pivot tables, and fundamental charting.
  • Industry context: A foundational understanding of Key Performance Indicators (KPIs) relevant to your sector and familiarity with how data lifecycle processes operate within an organization.

Target Audience

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

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