Learn OpenAI API, including ChatGPT, DALL-E, Whisper, and create powerful Web apps with Slack, Jira, Gmail
What you will learn
OpenAI API
ChatGPT
Best Practices of using ChatGPT
Jira Software Cloud API
Slack Messenger 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
Project Management with ChatGPT
Project Governance with ChatGPT
Knowledge Base Management with ChatGPT
Risk Management with ChatGPT
Planning and Estimation with ChatGPT
Requirements creation and requirements management with ChatGPT
Whisper – Speech to Text AI by OpenAI
DALL-E – Text to Image AI by OpenAI
Description
In this course, we are going to Learn OpenAI API in Depth, including ChatGPT API, Whisper API & DALL-E API.
Advantages of this course:
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- 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 models. We are going to develop web application to manage project management operations using OpenAI API.
- 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 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 start consulting clients about OpenAI API since 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 a 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 a lot of experience in communication and teaching students both: offline and online. And I can easily find the right approach to explain things, and make complex things easier to understand.
- No drama money-back guarantee: In case you didn’t like the course, for any reason, you should explain 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:
- This course is designed for everyone who wants to learn OpenAI API. I can say that this is the most detailed and most complete OpenAI API course available online based on today
- A significant part of the course will be dedicated to learning the OpenAI API. During the course we are going to create our own web application, and develop chat bot – that’s why this course will be interesting for developers
- But even despite the fact that I have lessons with coding examples, I still believe that this course will be interesting for Product Managers, Product Owners, and Project Managers. I know this because very often I receive requests from Product Managers asking me about capabilities of ChatGPT, business use cases, technical limitations, and similar questions. This course will help you to get a deep understanding of how OpenAI API works under the hood, and what its weak and strong sides are that you can take advantage of.
English
language
Content
Introduction
Communication plan
Tips to Improve Your Course Taking Experience
ChatGPT Web Application
Introduction to ChatGPT Web Application
OpenAI
Intro to the OpenAI Section
OpenAI: Basic Concepts
OpenAI API: Create & Manage Personal Account
OpenAI API: ChatGPT Model
Important note about API Testing
ChatGPT: Chat API
Send First Request to GPT API & Parse Response
First Web Application with ChatGPT
Function calling in ChatGPT
GPT Best Practices
Web Application Hosting at Home
Web Hosting at Home: Port Forwarding
GPT + Slack Integration
Create Slack Application, Configuration of Incoming & Outgoing Webhooks
Connect GPT to the Slack
Context Management in Web App to Integrate with GPT
Jira
The Role of Jira in our Web Application | Why this section is needed?
First Project in Jira Cloud
Jira API
GPT + Slack + Jira + Gmail Integration
GPT + Slack + Jira Integration: Work with Jira Datasource
Generate Tickets in Jira & Send Email from Slack via Chat Interface
Manage a Scrum Team with ChatGPT
Managing Scrum & Risk Management with Custom Bot, Slack & GPT
Fine-tuning, Creation & Training of Custom GPT Model
Fine-tuning: Key Concepts & Overview of the Process
Important note about updates in GPT fine-tuning
Preparing Training Dataset: Key Principles, Use cases & Examples – PART 1
Preparing Training Dataset: Key Principles, Use cases & Examples – PART 2
Create your first fine-tuned model: Part 1
Create your first fine-tuned model: Part 2
=== EXAM: Create and Integrate Custom ChatBot for Confluence into the Slack ===
Chat Bot for Knowledge Base and How to build iterative process of fine-tuning
Project Management with ChatGPT
Project Initiation, Project Charter & Knowledge Base Set Up with ChatGPT: Part 1
Project Initiation, Project Charter & Knowledge Base Set Up with ChatGPT: Part 2
Scope Management & Requirements Management with ChatGPT
Planning Phase & WBS
Estimation Techniques
Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 1
Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 2
Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 3
DALL-E – Text to image AI Model by OpenAI
DALL-E Model & API Overview With Examples in Postman
Whisper – Speech to text AI model by OpenAI
Whisper Model & API Overview With Examples in Postman
Annex: API Testing
Introduction to the section
Review of tools for API testing & Postman Installation
API Testing with Postman
Bonus Section
Bonus Lesson