Get in Touch
 Duration 14 hours

Course Outline

GenAI Fundamentals and Practical Applications

Introduction to Generative AI

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

GenAI for Business Analysts

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

Practical Prompt Engineering

  • Techniques for formulating effective prompts.
  • Defining context, objectives, and constraints.
  • Iterative refinement of AI outputs.

Enhancing Business Analysis

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

AI-Assisted Analytical Documentation

  • Articulating business requirements.
  • Describing business processes.
  • Summarizing workshop notes and minutes.

Embedding AI into Daily Workflows

GenAI as a Cognitive Aid, Not a Replacement

  • Critical evaluation of AI outputs.
  • Content verification and validation techniques.
  • Avoiding blind automation of thought processes.

AI in Stakeholder Communication

  • Preparing communications and progress updates.
  • Simplifying complex concepts for clarity.
  • Tailoring messages for diverse audiences.

Risks and Accountability

  • Data privacy and confidentiality safeguards.
  • Accountability for AI-generated content.
  • Ethical considerations in AI usage.

Developing a Custom BA Workflow with AI

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

 

Requirements

  • Professional background in roles related to data analysis, reporting, or business process support.
  • Technical proficiency in MS Excel, specifically with lookup functions, pivot tables, and basic charting.
  • Domain understanding of Key Performance Indicators (KPIs) within your 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.

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories