ChatGPT for Program Management: From Basics to Advanced

Name: ChatGPT for Program Management: From Basics to Advanced
Rating: 4.3 (110 reviews)

ChatGPT for Program Management: Practical Techniques and Strategies for Effective Program Execution and Optimization

Created byAndrii Piatakha

Last updated 11/2025

English

What you'll learn

Efficient use of ChatGPT for project management tasks
Real-world applications of ChatGPT in project workflows
Program Management with ChatGPT
Project Management with ChatGPT
Program Governance with ChatGPT
Applying ChatGPT to solve complex program management problems
Knowledge Base Management with ChatGPT
Time-saving techniques with ChatGPT integrations
Practical skills for using ChatGPT in everyday project management
Risk Management with ChatGPT
Planning and Estimation with ChatGPT
Requirements creation and requirements management with ChatGPT
Slack Messenger API
Best Practices of using ChatGPT
Jira Software Cloud API
ChatGPT, Slack, Jira Integration via Java Spring Boot Web App
Create Web App via Spring Boot, ChatGPT, Jira, Slack for Project Management Operations Automation
Program management concepts and best practices
Hands-on experience with practical business use cases
Basics of API and web development for advanced users
Access to a large repository of source code examples
Close collaboration and Q&A support during the course
Effective communication and collaboration using ChatGPT
Developing custom solutions with ChatGPT
Understanding and utilizing OpenAI API updates
Building and deploying AI-driven project management tools
Enhancing productivity through automation with ChatGPT

Course content

20 sections • 119 lectures • 37h 31m total length

Communication plan4:10
From this lecture you will learn:
• How to communicate during this course
• Where to ask questions
• How to ask questions
• Communication channels
Tips to Improve Your Course Taking Experience0:44
Learn IT Bot – Your Free AI Learning Assistant17:50
Why I Created This Bot
The Challenge: From Passive Learning to Real Mastery
The Solution – Learn IT Bot
Inside the Learn IT Bot – Key Features
Adaptive Difficulty & Endless Practice
Live Demo of the Learn IT AI Bot
Why It Matters – From Learning to Real-World Readiness
Free AI Bot for My Students Only – No Sign-Up, FREE, Just Practice1:50
In this lesson, I’ll show you how my students get exclusive, free, no sign-up access to a one-of-a-kind AI Bot I personally built to help you deeply learn the material, reinforce your knowledge, and gain a real advantage in interviews, real-world work and career growth.

Project Initiation, Project Charter & Knowledge Base Set Up with ChatGPT: Part 124:31
What is a project
Quality attributes of a project
Project Charter
Create a new Project Charter
Who is a project sponsor
Total cost of ownership
Analysis of risks and assumptions in project charter
Key milestones and planning
Project Initiation, Project Charter & Knowledge Base Set Up with ChatGPT: Part 220:49
What is a knowledge base
Overview of tools for knowledge base
Confluence Cloud
Advantages of Confluence
Create knowledge base structure
Create a Space in Confluence
What are macros in Confluence
Review of different macros
Budget in Project Charter
Billing Model in Project Charter
Overview of Time & Material billing model
Scope Management & Requirements Management with ChatGPT33:44
How requirements are described and stored
Feature Specification
Content of Feature Specification
Demo of requirements for the project
Create feature specification with ChatGPT
Generate a user story with ChatGPT
BDD format of functional requirements
Functional VS Non-functional requirements
The most common non-functional requirements
Feature specification in the Knowledge Base
Connect Jira project to Confluence Space
List user stories in Confluence
How to change name of the Confluence Space
Jira Macro Configuration
Create JQL request with ChatGPT
Homework
Planning Phase & WBS15:40
What is an estimation process and what does it look like
Planning phase
Rolling wave planning
Work Breakdown Structure (WBS)
Key Characteristics of WBS
Key Elements of WBS
WBS Dictionary
Estimation Techniques18:44
Estimation Techniques
Expert Judgment
Analogous Estimation
Top-Down Estimation
Story Points Estimation
Man-Days Estimation
Three-Point Estimation
PERT Estimation
Delphi Method
Planning Poker
Bottom-Up Estimation
Function Points
T-Shirt Estimation
Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 125:07
Tools for project planning & estimation
Microsoft Project: Overview
Advantages & Disadvantages of MS Project
Other tools for planning
Custom Estimation Framework review
Backlog estimation approach
What is recommended to include in the estimates
ChatGPT for project planning & estimation
Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 222:15
Plan team structure
Define risks and opportunities
Calculate risk treatment expenses
Calculate risk recovery expenses
Measurable criteria to evaluate risk probability and risk impact
Risk management with ChatGPT
Hourly Rates
Direct VS Indirect costs
Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 317:32
Calculate communication overhead
Calculate planned absences
Calculate management reserves
Management VS Contingency reserves
Make data-driven decisions based on the estimation framework

Boost Business Analysis with GPTs: WBS, User Stories, and Estimates in Minutes33:55
The Modern Challenges of Requirements Management
Custom GPTs: The Assistant in Your Pocket
Getting Started with the SINGLE Business Analyst Bot
How AI Can Support Estimation
Case Study 1 – Writing User Stories in BDD Format
Case Study 2 – Building a Work Breakdown Structure
Case Study 3 – Requirements Analysis
Case Study 4 – Estimating User Stories in Story Points
Best Practices & Tips
Personalized AI Task Manager - for Productive Teams and Personal Usage38:40
Introducing SINGLE Secretary
Custom GPTs: The Assistant in Your Pocket
Chatbot Interface and User Experience
Account & Login Flow
Creating Tasks in Seconds with Smart Defaults
Reading and Paging Through Backlogs
Executing a Daily Plan
Updating Tasks and Closing the Loop
Analytics and Charts for Reviews
Multilingual Teams & Localized UX
Safety, Governance & Deletion
Jira with AI Chatbot: Smart Analytics and Project Management37:47
Why SINGLE Project Manager Matters
Custom GPTs: The Assistant in Your Pocket
Chatbot Interface and User Experience
Account & Login Flow
Connect Jira & Add Projects
Check project context
Creating Work at Speed
Querying with JQL via Chat
Sprint Analytics
Updating & Bulk Edits
AI-Assisted Sprint Planning

Intro to the OpenAI Section0:35
OpenAI: Basic Concepts27:25
What is OpenAI API
What is ChatGPT
OpenAI VS ChatGPT
Key Terms and Concepts in OpenAI API
Prompt
Tokens
Models
Review of key models
GPT-4 Model
GPT-3.5 Model
DALL·E Model
Whisper Model
Embeddings
Moderation Model
GPT-3 Model
Point·E Model
Jukebox Model
CLIP Model
Codex Model
OpenAI API: Create & Manage Personal Account27:54
Account creation at OpenAI
API Reference & Documentation
Playground Overview
Manage account settings
Usage Limits
Pricing
Understanding the importance of a "context"
Configuration of Billing
Soft & Hard billing limits
Rate limits
RPM & TPM
How to invite members into your organization
Creation of secret API key
What is model fine-tuning
Service-status

Important note about API Testing0:18
ChatGPT: Chat API30:40
Chat VS Completions API
When to use Chat API
When to use Completions API
Overview of Chat API
Model Endpoint Compatibility
Roles: System, User, Assistant, Function
What “temperature” to use
Detailed review of Chat API attributes
model attribute
messages attribute (incl. role, name, content, function_call)
Temperature attribute
top_p attribute
n attribute
stream attribute
max_tokens attribute
presnece_penalty attribute
frequency_penalty attribute
logit_bias attribute
user attribute
Send First Request to GPT API & Parse Response25:09
Authentication & Authorization in OpenAI API
Selecting model for request
Send request to OpenAI API GPT model from Postman
Deprecations
Parsing GPT response
“id” attribute
“object” attribute
“created” attribute
“model” attribute
“usage” attribute
“choices” attribute
“message” attribute
“finish_reason” attribute
First Web Application with ChatGPT24:23
Select programming language
Overview of official libraries for OpenAI API
Community libraries for OpenAI API
Create the first Web Application for ChatGPT Integration
Review of the Application’s Architecture
Function calling in ChatGPT33:35
What is function calling
Business need/Review of use cases
Function calling algorithm
OpenAI Chat API review
function_call: “auto”
function_call: “prompt”
function_call: “name”
function_call: “none”
Request for a function call in GPT Response
Code examples review
Live demo
GPT Best Practices34:16
Strategy: Write clear instructions
Tactic: Include details in your query to get more relevant answers
Tactic: Ask the model to adopt a persona
Tactic: Use delimiters to clearly indicate distinct parts of the input
Tactic: Specify the steps required to complete a task
Tactic: Provide examples
Tactic: Specify the desired length of the output
Strategy: Provide reference text
Tactic: Instruct the model to answer using a reference text
Tactic: Instruct the model to answer with citations from a reference text
Strategy: Split complex tasks into simpler subtasks
Tactic: Use intent classification to identify the most relevant instructions for a user query
Tactic: For dialogue applications that require very long conversations, summarize or filter previous dialogue
Tactic: Summarize long documents piecewise and construct a full summary recursively
Strategy: Give GPT time to "think"
Tactic: Instruct the model to work out its own solution before rushing to a conclusion
Tactic: Use inner monologue or a sequence of queries to hide the model's reasoning process
Tactic: Ask the model if it missed anything on previous passes
Strategy: Use external tools
Tactic: Use embeddings-based search to implement efficient knowledge retrieval
Tactic: Use code execution to perform more accurate calculations or call external APIs
Tactic: Give the model access to specific functions
Strategy: Test changes systematically
Tactic: Evaluate model outputs with reference to gold-standard answers

Create Slack Application, Configuration of Incoming & Outgoing Webhooks24:58
What is slack
Slack Installation
Create an account in Slack
Create a workspace in Slack
Create a channel in Slack
Create an Application in Slack
Creation of app from scratch
Creation of app from an app manifest
Incoming and Outgoing Webhooks
Events API in Slack
Configure outgoing and incoming webhooks in Slack
Connect GPT to the Slack27:20
Architecture overview
Review of code examples
How to add the app to a channel
Slack event payload review
Slack Java SDK
Overview of SDK for other programming languages
Scopes in Slack
Configuration of required scopes for the app
Set up app picture
Context Management in Web App to Integrate with GPT22:32
How to manage the context during the integration with GPT
Code examples review
How to limit the context length
How to manage the context of the Slack Team
Remove all messages from a channel

The Role of Jira in our Web Application | Why this section is needed?0:17
First Project in Jira Cloud24:41
What is Jira
Jira Editions & Deployment Options
Advantages of Jira Cloud
Jira analogs & competitors
Create an account in Atlassian
Create Jira Project
Kanban Template VS Scrum Template
Jira Kanban Board overview
Jira project settings overview
How to add issue types to the project
How to add fields to issue type
Create fake data in the project
Jira API21:19
Jira API Review
Jira API Versions
Authentication & Authorization in Jira API
What is Forge App in Atlassian
What is Connect App in Atlassian
JWT
3LO
Create API Token for Atlassian Account
Encrypt credentials in Base 64 encoding
Jira API calls via Postman
Jira API calls from web app
Jira API documentation overview

GPT + Slack + Jira Integration: Work with Jira Datasource36:19
How to integrate Jira API with GPT, Slack and Web Application
Connect Jira as a separate datasource
Read the required context from the Jira
Function calling implementation to fetch required Jira items
Demo of real-life application
Web Application architecture overview
Best practices
Generate Tickets in Jira & Send Email from Slack via Chat Interface22:28
Generate work item description with the help of ChatGPT
Create work item in Jira using chat interface
Assign team member for Jira ticket directly from slack
Set the due date for Jira work item from Slack
Generate an email
Send an email using email address using chat interface
Send an email using the name of the person using chat interface

Requirements

For the first part of the course no previous knowledge about ChatGPT is required
Expected that students have basic understanding about Project Management and some project management experience
For advanced part of the course expected that students have basic understanding about Web Development and API concept. We will learn everything in the course, but understanding of Web API will be a plus

Description

In this course, we will delve deep into using ChatGPT for Program Management.

Advantages of this course:

Program Management best practices: Learn essential concepts and improve your skills in program management while mastering ChatGPT applications.
Concentrated, practical content: No filler content. This course focuses on diverse and essential learning without unnecessary details.
Extensive subject expertise: my company was among the pioneers in consulting on ChatGPT since its API became public.
Interactive Q&A Support: You get direct support beyond video lessons. I provide close collaboration, answering queries, reviewing source code, and more.
Professional learning approach: With experience teaching 1 million students globally, I excel in communicating complex topics effectively both online and offline.
Rich repository of examples: Access over 1000 files showcasing real-world applications. Regular updates reflect new ChatGPT capabilities and business use cases.
No-risk money-back guarantee: If unsatisfied within 30 days, receive a hassle-free refund—no explanations needed.

Target Audience:

This course is designed for Program Managers. It offers two parts: one suitable for beginners without coding skills or API understanding, and another for advanced users tackling complex tasks with ChatGPT, including API basics and web development.

Who should take this course:

Program Managers seeking to enhance their skills with ChatGPT applications.
Professionals in program leadership roles interested in AI-driven solutions.
Beginners wanting to learn ChatGPT without prior coding knowledge.
Advanced users looking to solve complex program management challenges with ChatGPT.
Individuals interested in practical business applications of ChatGPT.
Those wanting to stay updated with the latest in OpenAI API capabilities.
Anyone interested in developing web applications and chat bots using ChatGPT.

Who this course is for:

Program Managers who wants to learn ChatGPT and boost their productivity
Product Managers who wants to learn ChatGPT capabilities and learn more about applications that can be created based on ChatGPT features
Professionals seeking practical business use cases for ChatGPT
Students who value hands-on learning and real-world examples
Anyone looking for a risk-free, comprehensive ChatGPT course

ChatGPT for Program Management: From Basics to Advanced

What you'll learn

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Course content

Introduction4 lectures • 25min

ChatGPT Web Application1 lecture • 23min

Program Management with ChatGPT8 lectures • 2hr 58min

Custom GPTs: Practical Examples & Use Cases3 lectures • 1hr 50min

OpenAI3 lectures • 56min

OpenAI API: ChatGPT Model6 lectures • 2hr 28min

Web Application Hosting at Home1 lecture • 17min

GPT + Slack Integration3 lectures • 1hr 15min

Jira3 lectures • 46min

GPT + Slack + Jira + Gmail Integration2 lectures • 59min

Requirements

Description

Who this course is for: