Extend your ChatGPT web application into team workflows by connecting GPT with Slack, Jira, and Gmail. You'll create a Slack application, configure incoming and outgoing webhooks, and manage dialogue context in your web app. You'll then explore Jira Cloud project setup and the Jira API before working with a Java Spring Boot application that combines these services. You'll practice workflows for generating Jira tickets and sending email from a Slack chat interface, and explore Scrum and risk management with a custom bot. Next, you'll examine fine-tuning concepts, prepare training datasets, create a fine-tuned model, and explore an iterative training process for a knowledge base chatbot. You'll also complete an assessment to create a custom Confluence chatbot and integrate it into Slack. Through these integrations, model-building activities, and module quizzes, you'll develop practical ways to connect project information, team communication, and custom ChatGPT behavior.

ChatGPT Workflow Integrations and Custom Models
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ChatGPT Workflow Integrations and Custom Models
This course is part of ChatGPT for Program Management: From Basics to Advanced Specialization

Instructor: Andrii Piatakha
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Recommended experience
What you'll learn
Connect GPT, Slack, Jira, and Gmail through Java Spring Boot workflows for ticketing and team communication.
Use a custom bot, Slack, and ChatGPT to support Scrum team management and risk management.
Prepare training data, fine-tune a custom model, and integrate a Confluence chatbot into Slack.
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November 2026
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