Claude Code Masterclass – Agentic Development, MCP Servers & AI-Driven Workflows-(2026)

In this course, you will learn how to design, build, and evaluate advanced RAG systems using the LangChain framework. You will master LCEL, Runnables, advanced retrieval techniques, chunking strategies, cross-encoder reranking, agent-based RAG, tool calling, SQL integration, and safety techniques using NeMo Guardrails. You will also learn how to trace, debug, and deploy a full-stack AI chatbot with LangFuse, React, FastAPI, and Docker.

Mastering Model Context Protocol (MCP) is a practical, engineering-focused course designed to help developers build real, secure, and production-ready AI backends. After helping thousands of students overcome confusion around LLM integration, tool calling, and backend architecture, I created this course to solve the most common problems: “How do I build a reliable backend that LLMs can call safely?” “How do I choose between SSE, stdio, or streamable-http?” “How do I scale MCP into real applications with FastAPI, Auth0, and LangGraph?” “How do I structure my MCP tools, resources, prompts, and context?” In this course, I guide you step-by-step—from spinning up a minimal MCP server to deploying a fully secure, Dockerized system. Every lesson is hands-on, designed to remove complexity and give you a clear, repeatable workflow for building modern AI systems. If you're frustrated by vague tutorials and want a clear, concrete, engineering-level understanding of MCP, this course is built for you.

Notion is one of the most powerful tools for organizing work, projects, and knowledge—but many users struggle because they rely on templates without understanding how Notion actually works. In this course, I help students move beyond confusion and scattered setups by teaching Notion as a system. You’ll learn how to configure Notion correctly from day one, understand how blocks, pages, and databases truly function, and build workflows that remain clean, flexible, and scalable over time. Through clear explanations and practical examples, I guide you step by step—from the fundamentals of Notion to advanced features like databases, dashboards, automations, formulas, and Notion AI—so you can confidently design systems that support your productivity instead of slowing you down.

This course is designed to help absolute beginners learn Python through short, focused, and practical lessons. With daily bite-sized sessions of about 15 minutes, I guide students step by step through the core concepts of Python, making coding approachable and less overwhelming. Based on my experience helping beginners overcome common learning obstacles—such as confusion around syntax, logic, and problem-solving—I emphasize clarity, repetition, and hands-on practice. Each lesson builds on the previous one, reinforced by practical exercises and regular rest days for review and consolidation. By the end of the 30 days, students will not only understand Python fundamentals but will also confidently build their own command-line Python application, connecting all the concepts learned throughout the course.

This course is built from real-world experience designing and deploying production-grade LLM applications on Azure. Rather than focusing on toy examples or isolated notebooks, I guide students through the exact challenges they face when moving from experimentation to real systems: data ingestion, vector storage, service orchestration, cloud deployment, and security. Throughout the course, I break down complex Azure services into clear, practical steps, explain why each architectural decision is made, and show how components work together in a scalable system. Students learn by building, debugging, and deploying a complete LangChain-based application, gaining confidence in solving real infrastructure and application-level problems.

What to Expect from This Course Welcome to LangGraph in Action, your ultimate guide to mastering the design and deployment of advanced AI agents using LangGraph. In this course, you’ll explore the fundamentals of building modular, scalable, and production-ready agents, all with a hands-on approach. From understanding the basics of LangGraph’s state-based design to creating a full-stack application, you’ll gain the skills needed to bring AI agents to life. Course Highlights State-Based Design: Dive into LangGraph’s core philosophy of nodes and edges to create structured, maintainable agents. Memory Management: Explore short-term memory with checkpointers and long-term memory with the Store object to enable agents that adapt and learn. Advanced Workflows: Build human-in-the-loop systems, implement parallel execution, and master multi-agent patterns. Production-Ready Development: Learn asynchronous operations, subgraphs, and create full-stack applications using FastAPI and Docker. By the end of the course, you’ll not only have a strong theoretical understanding but also the practical skills to deploy AI agents anywhere, entirely with open-source tools. Whether you're a developer aiming to stay ahead of the curve or a seasoned engineer looking to expand your AI toolkit, this course equips you for the rapidly growing field of AI agents. With the increasing adoption of AI agents in real-world applications, this course ensures you're prepared to design, build, and deploy advanced systems that solve practical challenges. Let’s start building and shaping the future of AI together!

This comprehensive course teaches you how to build any full-stack application using AI tools like Cursor AI, Claude Code, v0, ChatGPT, and Replit. Learn coding basics, front-end and back-end development, database integration, debugging, and deployment. Perfect for beginners and anyone looking to leverage AI to build real web and mobile apps quickly and efficiently.

This is a DevOps course based on practical experience in Silicon Valley. It goes beyond theory to cover content that can be applied immediately in the field. You will learn how to develop using Generative AI (Vibe Coding), set up CI/CD tools in a Kubernetes environment, and implement strategies to keep operating costs at $0. We will cover configuring a production environment without additional costs by running DB, Redis, S3, and batch jobs inside Kubernetes, and you will master building automated pipelines using GitHub Webhooks and Jenkins through hands-on projects.

This course on RAG (Retrieval-Augmented Generation) 👉 doesn't stop at conceptual explanations 👉 but involves building actual working structures hands-on 👉 and experiencing expansion and advancement through practice-focused learning. Starting from simple RAG examples, you'll progress step-by-step from Advanced RAG → Modular RAG → Agent-based RAG to a level that can be immediately applied in real-world work environments.

This is a full-stack restaurant map tutorial that allows you to learn everything from front-end, back-end, Kakao Map API usage, and deployment all at once while creating a restaurant map of your favorite YouTuber.

This course aims to cover the latest Gemini API SDK (@google/genai) in a Node.js and TypeScript environment. You will learn how to use multimodal technology to process text, images, and video simultaneously. We will practice the entire process, from issuing an API key to project setup and model calling.

This is not just a lecture you listen to and forget. This course aims not for "the moment you understand React," but for "the moment you can actually work with React." In every section, you'll complete missions alongside the lectures, solve practice problems yourself, and learn by implementing core concepts like JSX, Virtual DOM, State, and useEffect with your own hands. When you finish the course, you won't just be a beginner who knows React syntax—you'll be a developer who can explain and utilize everything from component design to rendering flow on your own. "Not a class you just listen to, but learning you build through completion." Understand the essence of React and experience the world of declarative UI firsthand.

🔥 Build a customized platform for Hanja learning! Leverage Google Gemini AI and Firestore to directly implement your own Hanja vocabulary book, stroke order animation, and even handwriting recognition!

This course is designed to help students understand React deeply and apply it confidently in real-world projects. Through years of teaching and mentoring, I’ve noticed that many learners struggle with React because they jump between tutorials without understanding the fundamentals or how everything connects in a real application. In this course, I solve that problem by teaching React step by step, starting from the basics and gradually moving toward advanced concepts. Every topic is explained clearly, then applied immediately in practical projects. I focus on best practices, clean code, and real development workflows, so students don’t just learn React — they learn how to think like React developers. By the end of the course, students will have built three complete, production-style applications and will feel confident creating and deploying their own React projects.

In this course, you will be able to create a Reddit website from scratch, step by step.

It’s okay if you don’t know how to code. This course focuses on the experience of using AI to build an ad-revenue-generating Android app from scratch and successfully launching it in just one day. Many people stop at these stages: “I built the app, but how do I monetize it?” “I tried adding ads but got stuck on AdMob, policies, and reviews.” “I gave up right before launch because of the privacy policy.” In this course, we will navigate through every "drop-off point": 👉 Idea → App Creation → Ad Integration → Store Launch Essentials → Actual Deployment. We let the AI do the work, and we make the decisions. The goal is to complete an app with a "functioning revenue structure" within a single day.

For job seekers who have created a portfolio as a backend developer but have nothing to show but an API, we will provide the experience of adding a frontend to create a web service.

In this course, I will guide you step by step through the process of building a complete, modern, and professional portfolio website using Next.js 14, React.js, Tailwind CSS, and Nodemailer. Based on my experience helping students understand complex front-end concepts, I focus on clear explanations, real-world examples, and practical implementation. Instead of just explaining theory, we build everything together—from project setup to final deployment—so you fully understand why and how things work. You will learn the core concepts of Next.js 14, including the App Router, file colocation, private and dynamic routes, navigation, layouts, metadata, and loading states. Once the fundamentals are clear, we will build a full portfolio website with dynamic content, smooth scrolling animations, downloadable PDF files, and call-to-action buttons driven by scroll state. By the end of the course, you will deploy your website on Vercel, publish the source code on GitHub, and confidently understand the difference between React routing and Next.js routing, while knowing how to build real-world, production-ready applications. No prior experience with Next.js is required.

By simply entering a US company ticker, this system automatically collects financial accounting data, competitor analysis, recent news, and stock price information to generate professional investment reports through in-depth analysis using the OpenAI GPT API. The final results are automatically uploaded to Notion. By learning the basic concepts and terminology of financial accounting, even engineers can utilize this for competitor benchmarking, persuading supervisors, and planning new solutions. You will build a high-performance API server using Python and FastAPI, learning asynchronous programming, AI integration, and practical fintech skills. We support beginners so they can easily follow along, complete a system applicable to real-world investment and business, and grow into developers tailored for the AI era.

No more AI courses filled with just theory. A current CEO who won the KT AI Excellence Award will teach you everything from text to video and game creation - 'practical secrets you can learn today and see results tomorrow.' Achieved 16.4 million won in Wadiz funding! The course that hundreds were enthusiastic about. We'll spoon-feed you the 'real practical' generative AI cheat codes that even non-majors can use to create web novels and videos right away. From planning to high-quality video production, learn how to finish with AI in a snap what would take a week if you hired an expert. We reveal the fastest route to creating results without trial and error.

Currently, Android development can be done using both Java and Kotlin. You can develop the same Android applications regardless of which language you choose. This course covers most aspects of Android application development, from basics to advanced topics, and all code is written using Kotlin starting from the fundamentals. Additionally, it utilizes Google's latest UI library, Material 3. This course involves completing three projects throughout the entire Android curriculum. By working on these projects, you can master advanced techniques actually used in the industry, such as Hilt, Retrofit, Room Database, and MVVM. Furthermore, you can increase productivity using AI by performing "vibe coding" with Gemini within the Android development tools. Soft Campus will always strive to provide the most up-to-date lectures.

Based on the experience of wondering how facial recognition works in offline environments on-site, this course will guide you through building the basic structure of a facial recognition-based access and attendance management system using React + Electron and Python's FastAPI-based DeepFace. Rather than focusing on perfection, we focus on understanding the operating principles and laying the foundation for you to expand into your own personal projects.

This course is a practical program where you will master Kotlin-based AI agent development by building your own coding agents. Using Koog, an AI framework built with Kotlin, you will learn step-by-step how to implement coding agents similar to Claude Code, Cursor, and Junie. Koog is more than just a simple server-side framework; it integrates seamlessly with Spring and offers the scalability to connect with various environments—including Android, iOS, Desktop, and Web—through Kotlin Multiplatform (KMP). By building intelligent agents that can read, analyze, modify, and generate code, you will gain hands-on experience in AI agent architecture, strategy, context handling, and tool integration.

The era of simply receiving code "suggestions" is over. I will clearly and simply introduce you to Google Antigravity, a next-generation agent development platform where AI agents directly control the editor, terminal, and browser to plan, execute, and verify complex software tasks.

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

In an era overflowing with AI tools and automation technology, we introduce vibe coding that anyone can start with just 'Cursor'. Think only developers can do this? Not at all. In this class, even if you don't know a single line of code, with just mouse clicks and prompt inputs, you can use Cursor to create apps and build automated systems that generate revenue. Target Audience Those who find development difficult but want to earn money through automation Digital nomads, solo entrepreneurs, freelancers Anyone who wants to save time and costs through AI utilization