Openai Api (Chatgpt, Whisper, Dall-E) – Complete Course

by


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 APIΒ in Depth, including ChatGPT API, Whisper API &Β DALL-EΒ API.

Advantages of this course:


Get Instant Notification of New Courses on our Telegram channel.

Noteβž› Make sure your π”ππžπ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the π”ππžπ¦π² cart before Enrolling!

  • 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 OpenAIΒ 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 OpenAIΒ 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:Β  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 OpenAIΒ API. I can say that this is the most detailed and most complete OpenAIΒ 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 OpenAIΒ API works under the hood, and what its weak and strong sides are that you can take advantage of.
English
language

Content

Add-On Information:

  • Course Overview
    • This comprehensive course is meticulously designed to immerse learners in the powerful world of OpenAI’s Application Programming Interfaces (APIs), moving beyond simple demonstrations to deep, practical integration.
    • It targets individuals eager to harness the transformative capabilities of leading AI models such as ChatGPT (GPT-series) for advanced text processing, DALL-E for creative image generation, and Whisper for highly accurate speech-to-text functionalities.
    • The curriculum emphasizes a hands-on, project-based approach, guiding participants through the complete lifecycle of developing sophisticated web applications that leverage these cutting-edge AI tools.
    • You will learn not just how to call APIs, but how to architect solutions that seamlessly integrate AI into everyday productivity platforms like Slack, Jira, and Gmail, thereby automating complex workflows and unlocking unprecedented levels of efficiency and innovation.
    • Prepare to build, deploy, and manage AI-driven applications that solve real-world problems and enhance user experiences across various domains.
  • Requirements / Prerequisites
    • A foundational understanding of programming concepts is essential, with proficiency in Python highly recommended given its widespread use in API interactions and web development.
    • Familiarity with basic web technologies, including how HTTP requests work and the general structure of APIs, will provide a solid starting point.
    • While no prior expert knowledge in Artificial Intelligence or Machine Learning is required, a basic grasp of software development principles and problem-solving skills will greatly assist your learning journey.
    • Access to an OpenAI account and an understanding of managing API keys is necessary for practical exercises and project development.
  • Skills Covered / Tools Used
    • Mastering OpenAI API client libraries and direct HTTP requests for various models, including configuration and error handling.
    • Implementing ChatGPT/GPT-series models for tasks such as advanced text generation, summarization, classification, sentiment analysis, and intelligent conversational agents.
    • Utilizing the DALL-E API to programmatically generate novel images from text prompts, create variations of existing images, and perform image editing tasks like inpainting or outpainting.
    • Integrating the Whisper API for highly accurate speech recognition, transcription of audio files, and translation across multiple languages.
    • Developing robust integrations with third-party applications:
      • Slack: Building AI-powered bots for automated responses, summaries, and notifications.
      • Jira: Automating ticket creation, summarizing comments, or generating descriptions based on natural language input.
      • Gmail: Crafting smart email drafts, categorizing incoming mail, or extracting key information from messages.
    • Working with JSON data payloads for effective communication between your applications and OpenAI services.
    • Understanding best practices for API key security, rate limits, and cost management in a production environment.
    • Fundamentals of building simple web interfaces or backend services to expose AI functionalities to end-users.
  • Benefits / Outcomes
    • You will gain the expertise to conceptualize, design, and implement sophisticated applications that leverage the full power of OpenAI’s suite of AI models.
    • Develop a strong portfolio demonstrating practical AI integration skills, enhancing your career prospects in software development, data science, and AI engineering.
    • Acquire the ability to automate complex tasks, streamline workflows, and foster innovation within your personal projects or organizational initiatives.
    • Become proficient in building intelligent systems that can interact with users, generate creative content, and process information in novel ways.
    • Understand the ethical considerations and best practices for deploying AI models responsibly and effectively.
    • Empower yourself to stay at the forefront of AI innovation, translating theoretical knowledge into tangible, impactful solutions.
  • PROS
    • Extremely Practical: Focuses on real-world application and integration with popular platforms, ensuring immediate utility.
    • Comprehensive Coverage: Delivers in-depth learning across three pivotal OpenAI APIs (ChatGPT, DALL-E, Whisper).
    • Skill-Centric: Equips learners with highly sought-after skills in AI integration and automation.
    • Future-Proofing: Provides a strong foundation in rapidly evolving AI technologies, preparing for future advancements.
    • Project-Driven: Encourages hands-on building, leading to a tangible portfolio of AI applications.
  • CONS
    • Ongoing usage of OpenAI APIs typically incurs costs, requiring a paid subscription for extensive project development.

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
Enroll for Free