Foundations

AI Agents Fundamentals

Learn to build and deploy real AI agents with LLMs, LangChain, RAG, vector databases, LangGraph, and MCP through interactive labs.

Caleb Eom

AI Solutions & Content Partner

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Description

Unlock the power of AI Agents with a hands-on, practical learning experience! This course guides you step-by-step through the essentials of building and deploying AI-driven applications using industry-leading tools and frameworks.

You'll start by making your very first AI API call, then progressively deepen your understanding through practical labs on LangChain. Learn prompt engineering techniques directly within LangChain, and discover how to harness vector databases to build a semantic search engine for technical documentation.

Next, you'll explore the RAG (Retrieval-Augmented Generation) approach, followed by an introduction to building stateful AI workflows with LangGraph. The course concludes with advanced concepts, where you'll extend LangGraph capabilities by integrating external tools.

Whether you're new to AI agents or looking to solidify your foundation, this course gives you the skills and confidence to create your own intelligent workflows and applications from scratch.

About the instructor

Caleb Eom is passionate about making complex technology accessible. He translates his extensive background as a Senior Programmer Analyst and Software Developer into clear, practical, and hands-on training. Caleb champions a "learn by doing" philosophy, creating project-based content that empowers developers to build real-world AI and software solutions with confidence.

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Introduction

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Lesson Content

Module Content

Course Introduction02:17

How to Reach Out to KodeKloud and Engage with the Community

AI Agents - Part 1

Topics

Lesson Content

Module Content

Introduction to AI Agents00:40

How LLMs work in real time04:17

Embeddings & Vector Representations00:59

How LangChain works04:17

Practice Labs – Your First AI API Call04:43

Lab: Your First AI API Call

Practice Labs – LangChain03:04

Lab: LangChain

Prompt Engineering Techniques03:24

Practice Labs - Master Prompt Engineering03:23

Lab: Prompt Engineering with LangChain

How to Reach Out to KodeKloud and Engage with the Community

AI Agents - Part 2

Topics

Lesson Content

Module Content

Vector Databases Deep Dive06:39

Practice Labs – Build Semantic Search Engine03:46

Lab: Vector Databases - Build TechDocs Semantic Search Engine

RAG03:00

Practice Labs - RAG Implementation04:00

Lab: The RAG Revolution

LangGraph for AI Workflows03:41

Practice Labs - Build Stateful AI Workflows03:58

Lab: LangGraph Basics - Build Stateful AI Workflows

Model Context Protocol02:02

Practice Labs - Advanced MCP Concepts03:23

Lab: Advanced MCP Concepts - Extend LangGraph with External Tools

Conclusion01:21

Next Step: Continue Your AI Learning Journey

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