OpenAI API (ChatGPT, Whisper, DALL-E) – Complete Course

OpenAI API (ChatGPT, Whisper, DALL-E) – Complete Course, available at $49.99, has an average rating of 4.7, with 57 lectures, based on 25 reviews, and has 7211 subscribers.

You will learn about 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 This course is ideal for individuals who are Everyone who wants to learn OpenAI API in depth or Web Developers who want to create web applications using ChatGPT, DALL-E, Whisper or other capabilities of OpenAI Models or Product Managers who wants to explore and learn technical details and OpenAI API limitations to udnerstand how to build products using OpenAI API It is particularly useful for Everyone who wants to learn OpenAI API in depth or Web Developers who want to create web applications using ChatGPT, DALL-E, Whisper or other capabilities of OpenAI Models or Product Managers who wants to explore and learn technical details and OpenAI API limitations to udnerstand how to build products using OpenAI API.

Enroll now: OpenAI API (ChatGPT, Whisper, DALL-E) – Complete Course

Summary

Title: OpenAI API (ChatGPT, Whisper, DALL-E) – Complete Course

Price: $49.99

Average Rating: 4.7

Number of Lectures: 57

Number of Published Lectures: 57

Number of Curriculum Items: 58

Number of Published Curriculum Objects: 58

Original Price: $49.99

Quality Status: approved

Status: Live

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

Who Should Attend

Everyone who wants to learn OpenAI API in depth
Web Developers who want to create web applications using ChatGPT, DALL-E, Whisper or other capabilities of OpenAI Models
Product Managers who wants to explore and learn technical details and OpenAI API limitations to udnerstand how to build products using OpenAI API

Target Audiences

Everyone who wants to learn OpenAI API in depth
Web Developers who want to create web applications using ChatGPT, DALL-E, Whisper or other capabilities of OpenAI Models
Product Managers who wants to explore and learn technical details and OpenAI API limitations to udnerstand how to build products using OpenAI API

In this course, we are going to Learn OpenAI API in Depth, including ChatGPT API, Whisper API & DALL-E API.

Advantages of this course:

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Communication plan

Lecture 2: Tips to Improve Your Course Taking Experience

Chapter 2: ChatGPT Web Application

Lecture 1: Introduction to ChatGPT Web Application

Chapter 3: OpenAI

Lecture 1: Intro to the OpenAI Section

Lecture 2: OpenAI: Basic Concepts

Lecture 3: OpenAI API: Create & Manage Personal Account

Chapter 4: OpenAI API: ChatGPT Model

Lecture 1: Important note about API Testing

Lecture 2: ChatGPT: Chat API

Lecture 3: Send First Request to GPT API & Parse Response

Lecture 4: First Web Application with ChatGPT

Lecture 5: Function calling in ChatGPT

Lecture 6: GPT Best Practices

Chapter 5: Web Application Hosting at Home

Lecture 1: Web Hosting at Home: Port Forwarding

Chapter 6: GPT + Slack Integration

Lecture 1: Create Slack Application, Configuration of Incoming & Outgoing Webhooks

Lecture 2: Connect GPT to the Slack

Lecture 3: Context Management in Web App to Integrate with GPT

Chapter 7: Jira

Lecture 1: The Role of Jira in our Web Application | Why this section is needed?

Lecture 2: First Project in Jira Cloud

Lecture 3: Jira API

Chapter 8: GPT + Slack + Jira + Gmail Integration

Lecture 1: GPT + Slack + Jira Integration: Work with Jira Datasource

Lecture 2: Generate Tickets in Jira & Send Email from Slack via Chat Interface

Chapter 9: Manage a Scrum Team with ChatGPT

Lecture 1: Managing Scrum & Risk Management with Custom Bot, Slack & GPT

Chapter 10: Fine-tuning, Creation & Training of Custom GPT Model

Lecture 1: Fine-tuning: Key Concepts & Overview of the Process

Lecture 2: Important note about updates in GPT fine-tuning

Lecture 3: Preparing Training Dataset: Key Principles, Use cases & Examples – PART 1

Lecture 4: Preparing Training Dataset: Key Principles, Use cases & Examples – PART 2

Lecture 5: Create your first fine-tuned model: Part 1

Lecture 6: Create your first fine-tuned model: Part 2

Lecture 7: === EXAM: Create and Integrate Custom ChatBot for Confluence into the Slack ===

Lecture 8: Chat Bot for Knowledge Base and How to build iterative process of fine-tuning

Chapter 11: Project Management with ChatGPT

Lecture 1: Project Initiation, Project Charter & Knowledge Base Set Up with ChatGPT: Part 1

Lecture 2: Project Initiation, Project Charter & Knowledge Base Set Up with ChatGPT: Part 2

Lecture 3: Scope Management & Requirements Management with ChatGPT

Lecture 4: Planning Phase & WBS

Lecture 5: Estimation Techniques

Lecture 6: Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 1

Lecture 7: Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 2

Lecture 8: Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 3

Chapter 12: DALL-E – Text to image AI Model by OpenAI

Lecture 1: DALL-E Model & API Overview With Examples in Postman

Chapter 13: Whisper – Speech to text AI model by OpenAI

Lecture 1: Whisper Model & API Overview With Examples in Postman

Chapter 14: Annex: API Testing

Lecture 1: Introduction to the section

Lecture 2: Review of tools for API testing & Postman Installation

Lecture 3: API Testing with Postman

Chapter 15: Customer Service with ChatGPT

Lecture 1: Intro: Using ChatGPT for Enhanced Customer Service and Sales Success

Lecture 2: Understanding ChatGPT in Customer Service

Lecture 3: Successful ChatGPT Implementations in Customer Service: Case Studies – PART 1

Lecture 4: Successful ChatGPT Implementations in Customer Service: Case Studies – PART 2

Lecture 5: Enhancing Customer Interactions with ChatGPT

Lecture 6: Practice Using ChatGPT for Different Customer Interactions

Lecture 7: Homework: Assisting a Customer with a Product Issue

Lecture 8: Homework: Answering a Customer Query About a Service

Lecture 9: Optimizing Customer Experience with ChatGPT – PART 1

Lecture 10: Optimizing Customer Experience with ChatGPT – PART 2

Chapter 16: Create Chatbot: Practical Guide and Real Examples

Lecture 1: Chatbase: The Most Complete Overview

Lecture 2: Chatbase: Create Chatbot in 5 Minutes Without Coding

Lecture 3: ChatBot for Revolut Online Banking App via ChatGPT & Slack

Chapter 17: Bonus Section

Lecture 1: Bonus Lesson

Instructors

Andrii Piatakha
Founder and CEO in IT-Bulls, Founder of Learn-IT University

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 11 votes
5 stars: 12 votes

Frequently Asked Questions

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