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

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Andrii Piatakha

14:15:21

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1. Introduction

1. Communication plan.mp4

04:10

1. Introduction.zip

2. ChatGPT Web Application

1.1 The login link to the ChatGPT application.html

1. Introduction to ChatGPT Web Application.mp4

22:36

3. OpenAI

1. Intro to the OpenAI Section.html

2.1 GPT 4 - models.html

2.2 GPT 4 - promo page.html

2.3 Link to the documentation with description of Models.html

2. OpenAI Basic Concepts.mp4

27:25

3.1 OpenAI Pricing Model.html

3. OpenAI API Create & Manage Personal Account.mp4

27:54

4. OpenAI API ChatGPT Model

1. Important note about API Testing.html

2.1 Chat API Reference.html

2.2 Model Endpoint Compatibility.html

2. ChatGPT Chat API.mp4

30:40

3.1 Deprecations.html

3.2 Postman collections.html

3. Send First Request to GPT API & Parse Response.mp4

25:09

4.1 Community libraries.html

4.2 Official OpenAI Libraries.html

4.3 Source code of examples from the lesson (commit with changes).html

4. First Web Application with ChatGPT.mp4

24:23

5.1 Source code of examples from the lesson (commit with changes).html

5. Function calling in ChatGPT.mp4

33:35

6. GPT Best Practices.mp4

34:16

5. Web Application Hosting at Home

1. Web Hosting at Home Port Forwarding.mp4

16:54

6. GPT + Slack Integration

1.1 Source code of examples from the lesson (commit with changes).html

1. Create Slack Application, Configuration of Incoming & Outgoing Webhooks.mp4

24:58

2.1 Source code of examples from the lesson (commit with changes).html

2. Connect GPT to the Slack.mp4

27:20

3.1 Source code of examples from the lesson (commit with changes).html

3. Context Management in Web App to Integrate with GPT.mp4

22:32

7. Jira

1. The Role of Jira in our Web Application Why this section is needed.html

2.1 Official Atlassian Website.html

2. First Project in Jira Cloud.mp4

24:41

3.1 API Tokens of Atlassian Account.html

3.2 Official documentation.html

3.3 Source code of examples from the lesson (commit with changes).html

3. Jira API.mp4

21:19

8. GPT + Slack + Jira + Gmail Integration

1.1 Source code of examples from the lesson (commit with changes).html

1. GPT + Slack + Jira Integration Work with Jira Datasource.mp4

36:19

2.1 Create Jira ticket from chat - Source code of examples from the lesson (commit with changes).html

2.2 Generate email and send it from chat - Source code of examples from the lesson (commit with changes).html

2. Generate Tickets in Jira & Send Email from Slack via Chat Interface.mp4

22:28

9. Manage a Scrum Team with ChatGPT

1.1 Average velocity calculation - Source code of examples from the lesson (commit with changes).html

1.2 Risk management - Source code of examples from the lesson (commit with changes).html

1.3 Sprint Planning - Source code of examples from the lesson (commit with changes).html

1. Managing Scrum & Risk Management with Custom Bot, Slack & GPT.mp4

11:43

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

1. Fine-tuning Key Concepts & Overview of the Process.mp4

30:51

2. Important note about updates in GPT fine-tuning.html

3. Preparing Training Dataset Key Principles, Use cases & Examples - PART 1.mp4

19:24

4. Preparing Training Dataset Key Principles, Use cases & Examples - PART 2.mp4

17:59

5. Prepare Training Dataset.html

6.1 All dataset examples shown in the lesson.html

6.2 Cheat sheet with commands required for fine-tuning.html

6.3 Fine-tunes API reference.html

6. Create your first fine-tuned model Part 1.mp4

27:06

7.1 All dataset examples shown in the lesson.html

7.2 Cheat sheet with commands required for fine-tuning.html

7.3 Fine-tunes API reference.html

7. Create your first fine-tuned model Part 2.mp4

26:54

8. === EXAM Create and Integrate Custom ChatBot for Confluence into the Slack ===.html

9.1 Source code of examples from the lesson (commit with changes).html

9. Chat Bot for Knowledge Base and How to build iterative process of fine-tuning.mp4

12:54

11. Project Management with ChatGPT

1.1 The Project Charter created during the lesson (Google Docs formatting).html

1. Project Initiation, Project Charter & Knowledge Base Set Up with ChatGPT Part 1.mp4

24:31

2.1 Atlassian official web site where you can select Confluence Cloud.html

2.2 The Project Charter created during the lesson (Google Docs formatting).html

2. Project Initiation, Project Charter & Knowledge Base Set Up with ChatGPT Part 2.mp4

20:49

3.1 Feature Specification from the lesson.html

3. Scope Management & Requirements Management with ChatGPT.mp4

33:44

4. Planning Phase & WBS.mp4

15:40

5. Estimation Techniques.mp4

18:44

6.1 Estimation Framework.html

6. Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 1.mp4

25:07

7.1 Estimation Framework.html

7.2 Risk Probability and Impact Matrices.html

7. Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 2.mp4

22:15

8.1 Estimation Framework.html

8. Estimation Framework, Schedule Management & Risk Management with ChatGPT, Part 3.mp4

17:32

12. DALL-E - Text to image AI Model by OpenAI

1.1 API Reference for DALL-E Model.html

1.2 Examples of images and masks.html

1.3 Postman collection used in lesson.html

1.4 Pricing.html

1. DALL-E Model & API Overview With Examples in Postman.mp4

32:18

13. Whisper - Speech to text AI model by OpenAI

1.1 API Reference.html

1.2 Audio file #1 used in the lesson for transcription demo.html

1.3 Audio file #2 used in the lesson for translation demo.html

1.4 Postman collection.html

1. Whisper Model & API Overview With Examples in Postman.mp4

30:48

14. Annex API Testing

1. Introduction to the section.html

2. Review of tools for API testing & Postman Installation.mp4

14:19

3.1 Commit with changes.html

3.2 Postman collections.html

3. API Testing with Postman.mp4

23:13

15. Bonus Section

1.1 Facebook Page with Udemy Coupons from Learn IT University.html

1.2 Facebook Andrii Piatakha.html

1.3 Free book about AI by Andrii Piatakha (sci-fi).html

1.4 Instagram Andrii Piatakha.html

1.5 IT-Bulls Company Official Website.html

1.6 Java Course From zero to first job.html

1.7 Learn IT University Official Website.html

1.8 LinkedIn Andrii PIatakha.html

1.9 LinkedIn IT-Bulls company - official page.html

1.10 Project Management with ChatGPT.html

1.11 Public profile of Tutor with list of all courses - Andrii Piatakha.html

1.12 Support me on Patreon by getting access to EXCLUSIVE content.html

1.13 Telegram Channel with Latest News and important information.html

1.14 The most complete ChaGPT course for everyone.html

1.15 TikTok of the Tutor.html

1.16 Youtube channel with free lessons and blog.html

1. Bonus Lesson.mp4

02:51

Description

Learn OpenAI API, including ChatGPT, DALL-E, Whisper, and create powerful Web apps with Slack, Jira, Gmail

What You'll 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 is this for?

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

What You Need to Know?

There is expectation that you are familiar with API, if not - then you need to start learning from Annex where I teach you Postman and API basics first

During the course there are code examples on Java. Code examples can be written on any language, but for the demo purposes Java is used

More details

Description
In this course, we are going to Learn OpenAI APIÂ in Depth, including ChatGPT API, Whisper API &Â DALL-EÂ 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 OpenAIÂ 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 OpenAIÂ 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:Â 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 OpenAIÂ API. I can say that this is the most detailed and most complete OpenAIÂ 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 OpenAIÂ API works under the hood, and what its weak and strong sides are that you can take advantage of.
Who this course is for:
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

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Artificial Intelligence

Andrii Piatakha

Instructor's Courses

Founder and CEO in IT-Bulls. IT-Bulls is a consultancy company that promotes engineering excellence standards, holds audits of software projects, and provides private consultancy. Creator of Learn-IT Online University and mobile application that help to get certified in different domains. Tutor with 5+ years of experience. Key Java Tutor in outsourcing companies. Andrii helps to teach Java software engineers from zero till their first job assignment. You can find courses in different areas. But one of his most popular courses "Java from Zero to First Job". The Java course is used to train people with zero programming knowledge to prepare them for real work in different companies. When you are taking Andrii's courses you can be sure that you will learn the right things in the right way in the shortest possible amount of time.All Andrii's courses are proven by time and success stories of the students.Not all tutors were professional programmers in past. Huge engineering experience allowed Andrii to run his own IT company. During the teaching, Andrii focuses students' attention only on the most important things. Feel free to check out Andrii's LinkedIn profile and especially confirmation of the skills. Already more than 1000+ professional engineers, managers, and software architects all over the World confirmed Andrii's skills in Java EE technologies stack.Andrii spent a lot of time tutoring offline to understand students and key issues they face with during their education process. Detailed homeworks and practical experience - that's what help students to get knowledge. IT-Bulls creates applications with students which allow people to pass internship and get more practical experience.The best students managed to get their first job in IT-Bulls and now become leading engineers in the company!So be prepared to become the best friend of IT-Bulls company.Learn more about Andrii's career and skills in LinkedIn profile and follow Andrii on Instagram!

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