High-Quality AI Agent Context Engineering
Learn context engineering techniques for creating high-quality AI agents through hands-on practice.
중급이상
AI Agent, LangGraph, AI
@aischool
Students
9,403
Reviews
713
Course Rating
4.6
High-Quality AI Agent Context Engineering
Learn context engineering techniques for creating high-quality AI agents through hands-on practice.
중급이상
AI Agent, LangGraph, AI
High-Quality AI Agent Context Engineering
Workflow Automation with MCP for Everyone - Learning MCP (Model Context Protocol) Applications through Various Examples (feat. Cursor)
This course covers work automation using MCP (Model Context Protocol) via diverse case studies: Playwright crawling, Figma design, Notion data organization, Excel data analysis.
입문
Model Context Protocol, Generative AI
Workflow Automation with MCP for Everyone - Learning MCP (Model Context Protocol) Applications through Various Examples (feat. Cursor)
Future of Developers! AI Vibe Coding Part 1 - Create Your Own MCP Server with Cursor
This is a lecture where you build your own MCP server using Cursor and experience vibe coding, which embodies the future of developers.
초급
cursor, LLM, Model Context Protocol
Future of Developers! AI Vibe Coding Part 1 - Create Your Own MCP Server with Cursor
Large Language Models for All LLM Part 6 - Implementing AI Agents Using LangGraph Through Projects
I'm learning how to build practical AI agents using LangGraph while working on various AI agent implementation projects using LangGraph.
중급이상
LangGraph, AI Agent, LangChain
Large Language Models for All LLM Part 6 - Implementing AI Agents Using LangGraph Through Projects

Large Language Models LLM for Everyone Part 5 - Building Your Own AI Agent with LangGraph
AI Agent: A total integration of the latest AI technology! Implement various AI agents and learn to build your own AI agent using LangGraph.
중급이상
LangGraph, AI Agent, LangChain

Large Language Models LLM for Everyone Part 5 - Building Your Own AI Agent with LangGraph

Large Language Model LLM for Everyone Part 4 - Learning RAG Implementation by Building an AI Customer Service Chatbot (AICC)
This lecture covers building practical RAG (Retrieval-Augmented Generation) systems while developing an AI customer service chatbot (AICC).
중급이상
LangChain, RAG, openAI API

Large Language Model LLM for Everyone Part 4 - Learning RAG Implementation by Building an AI Customer Service Chatbot (AICC)

Large-Scale Language Models for Everyone LLM Part 3 - Building AI Applications with Google Gemini API, OpenAI API, and Gemma
This course will teach you the concept of the Google Gemini model and how to use the Gemini API, and create various AI applications using Streamlit.
중급이상
openAI API, ChatGPT, gemini

Large-Scale Language Models for Everyone LLM Part 3 - Building AI Applications with Google Gemini API, OpenAI API, and Gemma

Large Language Models (LLM) for Everyone Part 2 - Building Your Own ChatGPT with LangChain
This is a course to learn the concepts and usage methods of the LangChain library, and to build your own ChatGPT using the LangChain library.
중급이상
LLM, LangChain, ChatGPT

Large Language Models (LLM) for Everyone Part 2 - Building Your Own ChatGPT with LangChain

Large Language Model for Everyone LLM (Large Language Model) Part 1 - Try Fine-Tuning Llama 2
We will learn step by step from the basic concepts of LLM (Large Language Model) to how to fine-tune the Llama 2 model, a high-performance LLM, on the dataset of your choice.
중급이상
LLM, Llama, Deep Learning(DL)

Large Language Model for Everyone LLM (Large Language Model) Part 1 - Try Fine-Tuning Llama 2

Creating a Stock Auto Trading Bot for Quantitative Investment Part 1
This is a lecture on creating an automatic stock trading bot using the IBK Investment & Securities Xing API. Create your own automatic stock trading bot that trades automatically 365 days a year.
중급이상
Python, Investment, Quant

Creating a Stock Auto Trading Bot for Quantitative Investment Part 1

Making a Bitcoin Cryptocurrency Auto Trading Coin Bot Part 2 - Making an Auto Profit Coin Bot
This course teaches the process of [idea generation - data collection - verification through backtesting] for developing a Bitcoin cryptocurrency coin bot that can generate automatic profits, as well as the principles of the AIS1, AIS2 investment strategy developed by the instructor, stock selection and buying and selling points and backtesting, and the source code for bot execution.
초급
Python, colab, Investment

Making a Bitcoin Cryptocurrency Auto Trading Coin Bot Part 2 - Making an Auto Profit Coin Bot

ChatGPT for Everyone Part 4 - Learning Web Scraping through Practice with ChatGPT
A course to learn website crawling methods using ChatGPT. Get a preview of the transformed future ChatGPT will create.
입문
ChatGPT, Web Crawling, Selenium

ChatGPT for Everyone Part 4 - Learning Web Scraping through Practice with ChatGPT