ChatGPT for Business Workflows: From Zero to Expert

Master ChatGPT to streamline business workflows, boost productivity, automate tasks, and enhance communication - ideal for beginners to advanced professionals.

Artificial Intelligence

2 Hours

Description

AI isn’t just a convenience tool - it’s becoming a core productivity engine for modern business teams. Yet most professionals only scratch the surface, relying on simple Q&A instead of building repeatable workflows, structured outputs, and reusable prompt libraries. This workshop teaches participants how to use ChatGPT to accelerate everyday business tasks, automate administrative overhead, create high-quality deliverables, and support decision-making. No prior technical knowledge is required - we’ll progress from fundamentals to expert-level prompting patterns.

Course Objectives

Understand how ChatGPT interprets instructions, context, and constraints Design structured prompts using roles, tasks, outputs, format, and guardrails Build repeatable workflows for reporting, planning, documentation, and analysis Extract actions, risks, decisions, and insights from raw information Use prompt chaining and iterative refinement loops Create prompt libraries and templates for recurring tasks Integrate ChatGPT into meeting preparation and follow-ups Apply accuracy checks, grounding strategies, and safe usage practices

Target Audience

Product, Project, Program & Operations Managers Business Analysts, Support, & Coordination roles Team Leads, Consultants, and Change Managers Anyone seeking to automate repetitive business tasks

Basic Understanding

Ideal for knowledge workers who need consistent, high-quality outputs at speed.

Course Content

No sessions available.

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ChatGPT for Business Workflows: From Zero to Expert

Session 1: Kickoff & AI Adoption Mindset

  1. Why most people use AI at only 5% of its capability
  2. Co-pilot vs. automation mode
  3. Human-in-the-loop guardrails

Session 2: Prompting Fundamentals

  1. Role → task → format → constraints → success criteria
  2. Output clarity and boundaries
  3. “Don’t guess” safety language

Session 3: Prompt Chaining for Expert Outputs

  1. Break → analyze → refine
  2. Feed-back chaining loops
  3. Multi-viewpoint interrogation

Session 4: Reusable Prompt Libraries

  1. Categorizing prompts by output type
  2. Versioning prompt improvements
  3. Sharing libraries with teams
  4. Template examples (updates, briefs, retros)

Session 5: Quality & Accuracy Checks

  1. Hallucination detection prompts
  2. Missing information checks
  3. Counter-argument validation
  4. Confidence scoring

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