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OpenAI(ChatGPT) With Java AI

OpenAI Practical Application Course, where you directly implement various AI functions such as text, image, voice, translation, and content review in a Java environment.

1 learners are taking this course

  • usefulit
Java
openai
chatgpt
ai개발
프롬프트엔지니어링
prompt engineering
openAI API

What you will learn!

  • Getting an OpenAI API Key

  • Acquiring AI Utilization Strategies Through Prompt Design and Role/Task Instructions

  • Designing AI Assistants

  • Text Summarization, Sentiment Analysis, and Translation Implementation

  • Creating multimodal AI services including image description, multilingual translation, code generation, information extraction, voice recognition, and more

  • Automatic video subtitle generation and translation, content filtering implementation

OpenAI(ChatGPT) With Java AI

Create an AI assistant with eyes and ears using OpenAI API and Java to make it your personal secretary!


🎬 Course Introduction

Haven't you ever wanted to create your own Java-based AI service?
Would you like to experience multimodal AI features capable of text, image, voice, translation, and content moderation in a Java environment?

This course is structured to allow you to follow step-by-step the process of implementing practical services by assigning roles to AI and using prompt engineering techniques with the OpenAI API and Java.
You can directly create various AI agents such as story writers, sentiment analysts, image commentators, simultaneous interpreters, and coding partners,
and finally implement a multifunctional AI assistant that integrates multiple features.


Sentiment Analysis

Voice Recognition

Harmful Content Filtering


In Section 1, we'll build the foundation of AI that handles text with Java, and in Section 2, we'll create the 'eyes' and 'ears' that understand images and voice. In the final Section 3, we'll add 'expression abilities' where AI directly speaks and draws pictures, and create your own AI assistant that integrates all the technologies you've learned so far!


🎯 Learning Objectives

  • Java-based OpenAI API Integration and Text AI Implementation

  • Mastering Core Technologies of Multimodal AI for Image and Voice Recognition

  • Securing AI content creation capabilities for generating voice (TTS) and images

  • Complete Interactive AI Assistant Project with All Features Integrated



⚙️ Tools Covered

  • IntelliJ IDEA – Java Development Environment, Code Writing and Execution

  • Maven – Project management and library dependency management

  • Simple-OpenAI – A library for calling the OpenAI API from Java

  • OpenAI API – Utilizing AI features like GPT, Whisper, TTS, DALL·E, Moderation, etc.


📂 Curriculum

Section 1. Creating Story Writers, Reporters, and Emotion Analysis Experts

In a Java development environment, practice text-based AI features using the OpenAI API.

  1. Introduction to AI Architecture for Java Developers

  2. Java AI Development Environment Setup and First Communication

  3. Creating an AI Story Writer Based on User Input

  4. AI Reporter: Long Text Summarization and Key Point Extraction

  5. Creating an AI Emotion Analysis Expert

Section 2. Creating Image Commentators, Simultaneous Interpreters, Coding Partners, Information Extractors, and Stenographers

Beyond text-based capabilities, this is the stage where AI is given 'Multimodal' abilities to recognize images and voice, and generate code.

  1. Creating an AI Image Narrator


  2. Creating an AI Simultaneous Interpreter

  3. Creating an AI Coding Companion

  4. Creating an AI Information Extractor

  5. Creating an AI Stenographer


Section 3. Voice Generation, Image Generation, Subtitle Generation, Content Review

Expanding and integrating the abilities learned so far, this is the stage to complete a comprehensive AI assistant where AI directly speaks, draws pictures, and even considers safety.

  1. Breathing Voice into AI: Text-to-Speech (TTS)

  2. Drawing AI Artist That Turns Imagination into Reality: Image Generation

  3. AI Subtitle Expert: Automatic Video Subtitle Generation and Translation

  4. AI Safety Agent: Filtering Harmful Content with Moderation API

  5. AI Multi-Function Assistant: Integration of All AI Technologies


✅ Confirmation Items

  • This course does not provide instructor Q&A.

  • Lecture materials and lesson plans can be downloaded from [Class Materials] in the first lesson of each section.

Recommended for
these people

Who is this course right for?

  • Junior developer who wants to apply AI for the first time in a Java-based development environment

  • Those who want to directly implement multimodal features such as text, image, and voice using the OpenAI API

  • Those who want to learn prompt engineering techniques to control AI roles and outputs in the desired way

  • A working developer who wants to extend AI functionality into an existing Java project

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Curriculum

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18 lectures ∙ (7hr 54min)

Course Materials:

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