Kode Kloud Courses

MCP Tutorial - Build Your First MCP Server and Client from Scratch

Master Model Context Protocol by building your first MCP server and client from scratch with hands-on labs and practical coding examples for AI agent integration.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

RAG Explained For Beginners

Discover how RAG connects AI assistants to massive document repositories using vector embeddings, semantic search, and the 3-step retrieval-augmentation-generation process.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

LangGraph Explained for Beginners

Discover how to transform simple LangChain chatbots into powerful AI agents using StateGraph, loops, and conditional workflows to build production-ready research assistants.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

How Vector Databases Work - AI Search and Semantic Understanding

Discover how vector databases revolutionize AI search through semantic understanding, embeddings, and similarity scoring with hands-on ChromaDB implementation demos.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Kubernetes v1.33 'Octarine' Deep Dive - What Still Matters in 2025

Explore Kubernetes 1.33 'Octarine' critical features: stable sidecar containers, in-place pod scaling, OCI volumes, user namespaces security, and kubectl configuration enhancements.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

LangChain Explained in 10 Minutes - Components Breakdown and Build Your First AI Chatbot

Master LangChain fundamentals and build production-ready AI chatbots with memory, RAG, and deployment through hands-on labs and component breakdowns.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

LangChain vs LangGraph - Which One Should You Use?

Master AI agent development by comparing LangChain and LangGraph frameworks, building chatbots with memory and complex stateful workflows through hands-on Python demos.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Cursor CLI Tutorial for Beginners

Master Cursor CLI to run AI agents in your terminal for automated script writing, debugging, and workflow management without leaving the command line.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Build an Email AI Agent in 10 Minutes - n8n Tutorial for Beginners

Discover how to build a production-ready AI email assistant using n8n's visual workflow automation, OpenAI GPT-4, and Gmail integration—all without coding in just 10 minutes.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

RAG Crash Course for Beginners

Master Retrieval Augmented Generation through hands-on labs covering vector search, embedding models, ChromaDB, document chunking, and building complete production-ready RAG systems.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Learn 10 AWS Services by Building a Photo Sharing App - Real System Design Project 2026

Master 10 essential AWS services by building a real photo-sharing app like Instagram. Covers VPC, IAM, EC2, RDS, S3, Lambda, ALB, KMS, Secrets Manager & CloudWatch with hands-on labs.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Knowledge Graph Explained - Build Movie Recommendation System in 15 Minutes

Master knowledge graphs and build a Netflix-style movie recommender using Neo4j and Python. Discover why graph databases outperform SQL for relationship queries by 1000x.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Google ADK Tutorial - Build Multi-Agent AI Systems from Scratch

Master Google's Agent Development Kit to build intelligent multi-agent AI systems with memory, tools, and orchestration patterns for production deployment.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Why Your LLMs Keep Forgetting Everything - Context Window Explained

Discover why LLMs forget everything and master context windows, token limitations, and RAG implementation to give AI long-term memory through hands-on labs and practical demos.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

AI Agents Fundamentals - LLMs, LangChain, RAG, and Vector Databases

Master AI agent fundamentals from LLMs to RAG systems through hands-on labs. Build production-ready AI workflows with LangChain, vector databases, and advanced prompt engineering techniques.

• YouTube
• 57 minutes
• Self-Paced
• Free Video