LangChain on Azure - Building Scalable LLM Applications

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.

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!

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.

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

Hello! Have you ever gotten tired of repeatedly writing the same code over and over again while doing data analysis? 😫 Now let's give your projects wings with PyCaret! 🚀 This course will teach you the secret to automating most of the tedious and complex machine learning processes with just 5 lines of code. Here's how this course will transform you! ✨ Master Real-World Projects: 📈Customer purchase prediction (classification), 📉Medical cost prediction (regression), 🧩Customer grouping (clustering), ⏳Airline passenger prediction (time series)! You can develop 'real' problem-solving skills by following along with 4 core projects hands-on. Acquire Expert Skills: But that's not all! 🤖 We'll also teach you expert skills like managing your models with MLOps and creating API servers with just a few clicks. Pretty amazing, right? Protect Your Work-Life Balance: Most importantly, we'll drastically reduce your repetitive tasks and help you focus only on core analysis. Leaving work on time is a bonus! 😉 Whether you're not yet comfortable with coding or you're a current professional wanting to explosively boost productivity, everyone is welcome! 👋 Shall we transform together into a '10x faster data scientist'?

With v0, cursor AI, and various LLMs, from PRD to AI product recommendations! Complete your Next.js shopping mall through a practical project.

Stop using print()! Learn easy and powerful logging with Python's loguru library. From basic concepts to file management, FastAPI web app integration and Slack notifications, we'll teach you step by step with hands-on practice.

This is not a lecture that simply memorizes commands. It's a practical introductory course that helps you intuitively understand the 'flow' of technology - why containers emerged, how Docker creates and runs images based on what principles. Even if you're encountering Docker for the first time, after taking this course, you'll be able to explain "why containers are a necessary technology" on your own.

Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.

Simply by entering a US company ticker, this system automatically collects financial accounting data, competitor analysis, recent news, and stock price information, then performs in-depth analysis using the OpenAI GPT API to generate professional investment reports. The final results are automatically uploaded to Notion. By learning fundamental financial accounting concepts and terminology, even engineers can utilize this for competitor benchmarking, persuading supervisors, and planning new solutions. Build high-performance API servers with Python and FastAPI while learning asynchronous programming, AI integration, and practical fintech skills. Even beginners can easily follow along to complete a system applicable to real investment and business scenarios, helping them grow into developers suited for the AI era.

Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.

You will learn about domain purchase and deploying a Spring Boot production server using EKS, Docker basics, Kubernetes basics, AWS basics, CI/CD automation through GitHub Actions, ArgoCD, and general DevOps topics such as Prometheus/Grafana, etc.

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. Practice setting up a stable operating environment including Contabo VPS-based server installation, Ubuntu, Docker, and Portainer environment configuration, domain connection, and HTTPS security settings. Covers search API and file server development using FastAPI and Docker, Airtable and n8n integration, blog AI agent construction, and image/video automation. You'll be able to complete profitable automation strategies that can be directly applied to actual service operations.

"Will you make money just by creating an app? No." Vibe coding is just a tool; the key is 'profitable planning and strategy'. This course goes beyond simple vibe coding technical education and reveals a practical manual for building an automated revenue system, gained through operating 200 apps as a non-developer.

This course proceeds with Python theory and practical sessions that even non-majors can easily understand. This is the first step in the overall roadmap built for application development - the Python programming introduction course. [Complete-Roadmap] Python Basics->Advanced Python->Automated Trading-Backtest Development->Automated Trading-Real-time Development->Automated Trading-LLM Application

Apache Superset is an open-source BI tool that lets you quickly create charts and dashboards by connecting multiple databases. You can visualize data without knowing code, and SQL Lab allows you to run queries directly, making it useful for everyone from beginners to professionals. The dashboards you create can be shared immediately with permission settings, making it perfect for collaboration. Learning Superset gives you the ability to make data-driven decisions quickly and build practical dashboards you can use right away at work. In short, it's perfect for anyone who wants to make data "speak." 🚀

You've all had the painful experience of managing requirements.txt, right? 😅 Now solve dependency issues cleanly with the latest Poetry 2.x. This course proceeds by building a FastAPI practical project from start to finish. It covers the real-world workflow including development environment, CI/CD, and Docker deployment. Reduce environment setup worries and build professional Python development skills! 👍

The Channels library is a real-time messaging library developed under the philosophy of Django. Quickly learn the essence of Channels through this lecture.

# The Secret to Finding Your 'Quitting Time' Ever stayed up all night because one Excel formula broke, or had an entire report ruined by a single typo? If you're an office worker, you've probably experienced this at least once. This course was designed to break free from that 'repetitive pain.' You don't need to memorize complex coding syntax. We'll use Cursor AI, a tool powered by artificial intelligence that writes code when you give it text commands, and Streamlit, which lets anyone easily create websites. I've captured the process of solving real workplace pain points I've personally experienced (merging files by branch, automatically categorizing repair items, infinitely generating PDF confirmation documents, etc.) through 'conversational dialogue' without writing a single line of Python code yourself. After completing this course, you'll transform from a simple office worker into a 'digital transformation expert' who revolutionizes your team's work efficiency.

You will learn Apache Airflow, the most widely used Orchestrator for creating software data pipelines.

With the price of a chicken combo, you'll learn the deployment process in order: Spring Boot manual deployment -> Docker deployment -> Github Action CI/CD!

A Complete End-to-End Developer Journey — Build Lightning-Fast APIs, Modern Frontend Interfaces, Real Projects, Authentication Systems, Dashboards & Full Deployments Using FastAPI, React, and Vibe Coding Techniques.