
From this lecture you will learn:
• How to communicate during this course
• Where to ask questions
• How to ask questions
• Communication channels
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
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.
What is ChatGPT
What ChatGPT can do
ChatGPT limitations
ChatGPT Web Application
Overview of ChatGPT Web App Interface
Project Management use cases overview
Asking simple questions
Email generation example
Translation with ChatGPT
Create Marketing Article with ChatGPT to improve SEO
Workshop agenda creation example
Custom Instructions for ChatGPT
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
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
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
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 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
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
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
Calculate communication overhead
Calculate planned absences
Calculate management reserves
Management VS Contingency reserves
Make data-driven decisions based on the estimation framework
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
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
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
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
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
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
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
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
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
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
TCP/IP/Port
Static and Dynamic IP
Port forwarding
How to configure port forwarding on your router
Troubleshooting hints
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
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
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
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 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
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 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
In this course, we are going to Learn ChatGPT for Project Managers in Depth.
Advantages of this course:
Project Management best practices: Learn project management concepts and best practices and improve your skills in project management while learning ChatGPT at the same time.
Concentration of useful materials: Cut to the chase - No water. In this course you will not find 10 hours of lessons teaching you how to enter text in the chat GPT web application. We are going to learn a lot of things, and what is the most important, we are going to learn a lot of different things.
Vast experience in the subject: my company was one of the first on the market that started consulting clients about ChatGPT since GPT API was publicly exposed.
Q&A Support and Close collaboration during the course: at the end of the day, you don't just get the video lessons, you also get support from me. We work in close collaboration, you ask your questions about topics discussed in the video, source code reviewed and other things. No matter what questions you have, I'm here to help.
Professional learning approach: I'm tutor with 900 students from more than 200 countries around the world. I was an offline tutor for a long time, and then I founded Learn IT Online University. I have big experience in the communication and teachnig student both: offline and online. And I can easily find the right approach to explain things, and make complex things easier to understand.
Huge amount of source code examples: Even the first edition of this course already contains around 1000 files that can be used as examples. And this is just for one project that we develop with students. Not talking about examples that I share on the slides, or during the no-code development. This course is extremely oriented on practice and business use cases. And new examples are added to the course on a regular basis, because I update this course with new use cases, with new updates after new releases of OpenAI ChatGPT model.
No drama money back guarantee: In case you didn't like the course, for any reasons, you should explain me nothing. You can easily get your money back within the 30 days after registration. I promise you. So, there is no risk at all for you. In case you don't like the course, you can quit anytime you want.
Target Audience of the Course:
The course is developed for Project Managers. There are two main parts in the course - the one that doesn't require any coding skills and API understanding. And the second part of the course is for advanced users to solve more complex tasks with the help of ChatGPT where we will learn basics of API and web development.
This course is designed for everyone who wants to learn ChatGPT. I can say that this is the most detailed and the most complete ChatGPT course available online based on today
Significant part of the course will be dedicated to learning of the OpenAI API. And during the course we are going to create our own web application, and develop chat bot - that's why this course will be also interesting for Product Managers in order to understand how solutions based on ChatGPT can be built.