Eğitim İçeriği
Introduction
-
What is business automation with ChatGPT?
-
Models, agents, tools, and workflows
-
Fixed workflows vs agentic processes
-
Choosing the right level of autonomy
-
The role of human review and decision-making
-
Beyond a single ChatGPT conversation: reusable workflows and recurring execution
Understanding Context and Memory
-
Chat context vs persistent memory
-
Explicitly stored process state
-
Preserving decisions and important information between runs
-
Context limitations and loss of earlier information
-
Continuing work across multiple conversations
-
Distinguishing permanent rules from current process status
Organizing Work in ChatGPT
-
The risks of combining too many tasks and changing requirements in one thread
-
Recognizing missing decisions and inconsistent outputs
-
Splitting work into smaller, clearly defined tasks
-
Passing goals, sources, decisions, and results between tasks
-
When to use separate conversations or workflows
Working with Plugins, Projects, and Spaces
-
What plugins, projects, and Spaces are used for
-
Organizing reusable instructions and tools
-
Connecting workflows to business information sources
-
Organizing related conversations and shared materials
-
Sharing documentation and results
-
Preparing the working environment for a business process
Building a Workflow with Memory
-
Defining the workflow objective
-
Identifying inputs, steps, outputs, and acceptance criteria
-
Recording process state between executions
-
Using previous decisions in subsequent runs
-
Handling errors and incomplete execution
-
Resuming a workflow after interruption
-
Building a prototype workflow for a selected business task
Scheduling and Repeatable Execution
-
Manual vs recurring workflow execution
-
Defining execution frequency and time zone
-
Notification and stopping rules
-
Handling cases where no new data is available
-
Re-running a workflow with saved state
-
Comparing repeated executions
Evaluating Workflow Quality and Repeatability
-
Defining quality criteria
-
Checking required fields, numbers, sources, and output format
-
Identifying duplicate or inconsistent results
-
Distinguishing acceptable wording differences from process errors
-
Understanding sources of variability in AI-generated results
-
Testing the workflow on representative business cases
Practical Workshop
-
Selecting a recurring business task
-
Designing the workflow
-
Defining process memory and state
-
Running and testing the workflow
-
Comparing multiple executions
-
Identifying errors and improvement opportunities
-
Preparing the automation for practical use
Troubleshooting
-
Missing or incomplete context
-
Incorrect or outdated process state
-
Inconsistent results between executions
-
Missing data or unavailable sources
-
Duplicate processing
-
Failed or partially completed workflow runs
-
Tool or account feature limitations
Summary and Next Steps
-
Reviewing the completed workflow prototype
-
Identifying tasks suitable for automation
-
Defining quality and acceptance criteria
-
Planning deployment in daily work
-
Identifying opportunities for a more advanced second-day version with code-supported processing and agent development
Kurs İçin Gerekli Önbilgiler
-
Kurs Öncesi Katılımcıların Bilmesi Gerekenler
- ChatGPT'ye temel aşinalık
- Ön koşul olarak programlama bilgisi gerekli değildir.
- Katılımcıların, atölyeler sırasında kullanılan özelliklere erişimi olan bir bilgisayar, internet bağlantısı ve ChatGPT hesabı olmalıdır.
- Erişim hesap ve kurumsal ayarlara bağlı olabileceğinden, kurs öncesinde eklentilerin, Spaces'in ve zamanlama/otomasyon özelliklerinin mevcudiyeti kontrol edilmelidir.
Hedef Kitle
Kurs şu kişilere yöneliktir:
- Günlük çalışmalarında ChatGPT kullanan uzmanlar ve yöneticiler
- Ekip iş akışlarını iyileştirmekten sorumlu süreç sahipleri ve iş analistleri
- Raporlar, özetler, belgeler, veri derlemeleri ve yinelenen iş güncellemeleri hazırlayanlar
- Yapay zekayı uygulayan ve ortak bilgi kaynaklarıyla çalışmayı organize eden takım liderleri
Kısa kataloğa uygun bir versiyon şu şekilde olabilir:
Ön Koşullar: ChatGPT hakkında temel bilgi. Programlama deneyimi gerekmez.
Hedef Kitle: Yöneticiler, uzmanlar, süreç sahipleri, iş analistleri, raporlama/belgelendirme profesyonelleri ve yapay zeka uygulaması liderleri.
Danışanlarımızın Yorumları (1)
Seyircinin önerilerine göre şekil değiştirebilme - yani anlık olarak gerçek bir AI ajanı senaryosu oluşturabilme.
Brett McLaren - Zoll Itamar
Eğitim - ChatGPT for Productivity: A Beginner’s Guide
Yapay Zeka Çevirisi
