Cursusaanbod
Introduction
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What is business automation with ChatGPT?
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Models, agents, tools, and workflows
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Fixed workflows vs agentic processes
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Choosing the right level of autonomy
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The role of human review and decision-making
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Beyond a single ChatGPT conversation: reusable workflows and recurring execution
Understanding Context and Memory
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Chat context vs persistent memory
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Explicitly stored process state
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Preserving decisions and important information between runs
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Context limitations and loss of earlier information
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Continuing work across multiple conversations
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Distinguishing permanent rules from current process status
Organizing Work in ChatGPT
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The risks of combining too many tasks and changing requirements in one thread
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Recognizing missing decisions and inconsistent outputs
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Splitting work into smaller, clearly defined tasks
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Passing goals, sources, decisions, and results between tasks
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When to use separate conversations or workflows
Working with Plugins, Projects, and Spaces
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What plugins, projects, and Spaces are used for
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Organizing reusable instructions and tools
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Connecting workflows to business information sources
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Organizing related conversations and shared materials
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Sharing documentation and results
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Preparing the working environment for a business process
Building a Workflow with Memory
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Defining the workflow objective
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Identifying inputs, steps, outputs, and acceptance criteria
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Recording process state between executions
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Using previous decisions in subsequent runs
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Handling errors and incomplete execution
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Resuming a workflow after interruption
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Building a prototype workflow for a selected business task
Scheduling and Repeatable Execution
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Manual vs recurring workflow execution
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Defining execution frequency and time zone
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Notification and stopping rules
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Handling cases where no new data is available
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Re-running a workflow with saved state
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Comparing repeated executions
Evaluating Workflow Quality and Repeatability
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Defining quality criteria
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Checking required fields, numbers, sources, and output format
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Identifying duplicate or inconsistent results
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Distinguishing acceptable wording differences from process errors
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Understanding sources of variability in AI-generated results
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Testing the workflow on representative business cases
Practical Workshop
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Selecting a recurring business task
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Designing the workflow
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Defining process memory and state
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Running and testing the workflow
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Comparing multiple executions
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Identifying errors and improvement opportunities
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Preparing the automation for practical use
Troubleshooting
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Missing or incomplete context
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Incorrect or outdated process state
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Inconsistent results between executions
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Missing data or unavailable sources
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Duplicate processing
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Failed or partially completed workflow runs
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Tool or account feature limitations
Summary and Next Steps
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Reviewing the completed workflow prototype
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Identifying tasks suitable for automation
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Defining quality and acceptance criteria
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Planning deployment in daily work
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Identifying opportunities for a more advanced second-day version with code-supported processing and agent development
Vereisten
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Wat deelnemers vóór de cursus moeten weten
- Basisbekendheid met ChatGPT
- Er is geen programmeerkennis vereist als voorwaarde.
- Deelnemers moeten beschikken over een computer, internetverbinding en een ChatGPT-account met toegang tot de functies die tijdens de workshops worden gebruikt.
- De beschikbaarheid van plugins, Spaces en planning/automatiseringsfuncties moet vóór de cursus worden gecontroleerd, aangezien de toegang afhankelijk kan zijn van account- en organisatiestellingen.
Publiek
De cursus is bedoeld voor:
- Specialisten en managers die ChatGPT gebruiken in hun dagelijkse werk
- Proceseigenaren en businessanalisten die verantwoordelijk zijn voor het verbeteren van teamworkflows
- Mensen die rapportages, samenvattingen, documenten, datacompilaties en herhalende bedrijfsupdates voorbereiden
- Teamleiders die AI implementeren en werk organiseren met gedeelde informatiebronnen
Een korte, catalogusstijlversie zou kunnen zijn:
Vereiste kennis: Basisbegrip van ChatGPT. Geen programmeervervaring vereist.
Publiek: Managers, specialisten, proceseigenaren, businessanalisten, professionals op het gebied van rapportage/documentatie en AI-implementatieleiders.
Getuigenissen (1)
Kan zich aanpassen aan suggesties van het publiek – dus in staat zijn om direct een realistische AI-agent-scenario te creëren.
Brett McLaren - Zoll Itamar
Cursus - ChatGPT for Productivity: A Beginner’s Guide
Automatisch vertaald
