ChatGPT API Guide for Beginners - From Basic API Syntax to Creating and Deploying 12 Different Programs

This article explains how to develop an AI web service using the API from OpenAI.

The goal is to master the complex GPT API and Python in the easiest way possible through hands-on practice. You will develop a YouTube video summarization AI using the latest ChatGPT API and implement it as a web application using Streamlit.

Create a program using the GPT API, and even generate images and videos!

Envision the future with OpenAI API! OpenAI is a leader in the field of artificial intelligence, always providing cutting-edge technology. The GPT-4-based OpenAI API enables human-like conversations, demonstrating remarkable capabilities applicable to various fields.

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A course that will teach you how to create a website with ChatGPT and take charge of its distribution! Learn even fine-tuning.

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

During the Gold Rush, it was said that it was easier to become rich by selling gold mining tools than by mining gold yourself. How about selling programs in the ChatGPT Age of Exploration?

A lecture consisting of special lectures by professors from Canadian national universities. It covers Python, Code, Scratch programming introduction/basics and practical applications. After completing the lecture, receive a global certificate from Codesprint : )

You can implement hands-on practice of infinitely generating cryptocurrency trading signals automatically using ChatGPT and Python, and backtesting and validating them. Additionally, you can learn how to combine all the strategies automatically generated by AI into a single strategy and apply it to actual trading.

Document writing is the most challenging part for both aspiring and current developers! Create your own portfolio by looking at how successful candidates write their documents! We speak based only on documents that actually passed!

How to easily set up git, VS Code, Node.js, Python, Java dev environments on Windows within 2 hours without struggling.

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

This course is beneficial for those who wish to learn how to use ChatGPT and acquire basic Python grammar. It's also helpful for individuals looking to learn and consolidate basic Python grammar.

News crawling in the automation lecture... Are you bored? This is a lecture on developing an automation program that will make you an Instagram influencer.

Develop various features using Spring WebFlux. This course will teach you WebFlux's essential concepts and practical implementation.

Instead of boring news crawling, how about creating an automated program that is necessary for bloggers, sellers, and small business owners? In this Selenium basics course, we will teach you the principles of Selenium one by one in an easy-to-understand manner.

This course covers the entire process of designing and implementing Generative AI services through step-by-step hands-on practice, focusing on LangChain 1.0, LangGraph, and Deep Agents. Starting from the basics of Chat Models and Messages, you will master the core building blocks of LangChain—including Tool Calling-based Agents, memory, streaming, and structured output (Pydantic-based)—and then expand into LangGraph's StateGraph-based state machine architecture to directly implement production-ready AI system structures. You will systematically build agent design capabilities through real-world scenario-based exercises, such as RAG systems based on documents, PDFs, and web data (embeddings, ChromaDB, semantic search), SQL Agents (Chinook DB), multi-agent orchestration using the Supervisor pattern, and calculator agents utilizing the LangGraph Graph API. Furthermore, through Deep Agents (create_deep_agent), you will complete Generative AI applications equipped with stability, scalability, and controllability by utilizing sub-agent delegation, multi-turn conversations, and Deep Agents-specific middleware (SummarizationMiddleware, HumanInTheLoopMiddleware, ToolRetryMiddleware, PIIMiddleware, etc.). 👉 For those who want to accurately understand the internal structure and execution flow of LangChain/LangGraph/Deep Agents 👉 For those who want to implement RAG and Agents as production-level architectures rather than just "demos" 👉 This is the optimal course for those who need a practical roadmap covering state-based agents, SQL/document automation, and multi-agent orchestration.

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This is an introductory course in computer science and programming at MIT.