Claude Code Beginner Crash Course: Claude Code In a Day

Become a pioneer in the latest large language model (LLM) technology through Langchain online lectures! This course provides practical skills and innovative knowledge that will upgrade your career. #LangChain #LangGraph #LangSmith #MCP

It's okay if you don't know a single line of code. We are now in the era of 'Vibe Coding,' where you develop by 'conversing' with AI.

Build your own AI headquarters at a low cost! This is a practical guide to building autonomous AI agents that combine Gemini 2.5 Flash and Docker to ensure security while reducing costs.

A basic LangChain course that extracts only the essentials from the official documentation, all for the price of a cup of coffee(?). Get familiar with LangChain syntax before diving into full-scale development!

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is currently the technology that has come closest to AGI. In this lecture, we will explore LLM and Agent technologies from a layperson's perspective.

By utilizing the operating principles and development tools of Microsoft 365 Copilot agents, you can systematically learn how to design and expand agents that operate in the way you desire. Chapter 1 organizes the essential concepts and principles to know before creating an agent, Chapter 2 explores agent types and tools suitable for various scenarios, and Chapter 3 allows you to directly implement your own agent using Agent Builder, SharePoint Agent, and Copilot Studio. From basics to hands-on practice, this single course will enable you to connect the potential of Copilot agents to practical applications!

AI agents, the latest trend in generative AI! How to stay ahead with Cursor, which handles all your development tasks, and MCP, which expands its capabilities!

Did you just buy a MacBook in the AI era and feel overwhelmed about where to start? 🏆 Top-rated Inflearn instructor | Former developer with 10 years of macOS experience will guide you starting from 'Device Initialization.' ✅ App Installation · Essential macOS Tips · Terminal · Homebrew · Development Environment Setup ✅ Claude Code & Agentic Coding to set up an environment where AI codes for you 👉 Start now and complete your development environment today — make this the first day you truly master your MacBook.

We explore how to create an AI judge by combining knowledge graphs, reasoning systems, and various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology.

We invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

The "How Far Can You Go with ChatGPT?" series: Creating a Stock Auto-Trading Application and Web Investment Reports!

Which AI tool should I learn first? Stop worrying now! - Rated 4.8 by 80 students ⭐️⭐️⭐️⭐️⭐️ - ChatGPT, Claude, Gemini, Genspark, NotebookLM, Gamma, Skywork, Manus, Antigravity, Claude Code, MiriCanvas, Opal, CapCut, and more - Learn the core features of over 15 tools very easily over 20 days. - Through weekly assignments, we provide a course you can "internalize" rather than just "passively listen to." - All-in-one coverage: Prompt Engineering > Image Generation > PPT & Video Creation > Vibe Coding - 4 hours of lecture videos + weekly study materials + assignment certification system

TypeScript: Core concepts, from basic to practical, all at once! Practical application through a project.

We're building an AI-powered video conferencing application with real-time AI agents, meeting summary features, and post-call functionality.

AI proficiency determines your salary. Leave those tedious repetitive tasks to AI 'Almost Everything About Work Automation' teaches you how to create automation systems that handle your work with just a few clicks, no coding knowledge required. You'll be freed from boring document work and data organization, and transform into an 'AI work expert' who stays ahead of others.

AI is no longer a choice, but a matter of survival. Shorten development tasks that used to take 3 days down to 30 minutes; leave repetitive tasks to AI and focus on solving more important problems. Through AI-native development methods that are practical rather than theoretical, we will show you the definitive way to be recognized as an "AI-savvy developer" at your company.

If you want to create your own AI service without coding, this course is the perfect solution. Using the Dify no-code platform, you can create high-quality AI apps with just your ideas. Instead of complex theory, it's structured around hands-on projects, allowing both AI beginners and working professionals to develop practical skills.

Do you still code directly these days? Now is the era where even vibe coding is too much hassle! Become an AI automation expert with n8n without coding. A practical automation workflow design guide you can apply immediately at work Action-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience workplace innovation

Let's all consider whether good code's criteria are inherently subjective, and what considerations are needed for more objective evaluation.

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.