
Rhino 6 for Beginners Product Design Part.2
usefulit
This is a lecture on Rhino 3D, which is a basic tool for product design.
Basic
Rhino
OpenAI Practical Application Course, where you directly implement various AI functions such as text, image, voice, translation, and content review in a Java environment.
5 learners are taking this course
Level Beginner
Course period 12 months
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
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!
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
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.
In a Java development environment, practice text-based AI features using the OpenAI API.
Introduction to AI Architecture for Java Developers
Java AI Development Environment Setup and First Communication
Creating an AI Story Writer Based on User Input
AI Reporter: Long Text Summarization and Key Point Extraction
Creating an AI Emotion Analysis Expert
Beyond text-based capabilities, this is the stage where AI is given 'Multimodal' abilities to recognize images and voice, and generate code.
Creating an AI Image Narrator
Creating an AI Simultaneous Interpreter
Creating an AI Coding Companion
Creating an AI Information Extractor
Creating an AI Stenographer
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.
Breathing Voice into AI: Text-to-Speech (TTS)
Drawing AI Artist That Turns Imagination into Reality: Image Generation
AI Subtitle Expert: Automatic Video Subtitle Generation and Translation
AI Safety Agent: Filtering Harmful Content with Moderation API
AI Multi-Function Assistant: Integration of All AI Technologies
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.
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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Rating
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18 lectures ∙ (7hr 54min)
Course Materials:
$46.20
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