What You'll Learn

  • Master the fundamentals and advanced concepts of building AI-driven agents with LangChain
  • Langflow & GPT-4.
  • Design and build AI agents using LangChain
  • Langflow
  • and LangGraph to automate complex tasks and workflows.
  • Design
  • develop
  • and deploy autonomous AI applications capable of replacing or enhancing SaaS solutions.
  • Integrate custom tools and external APIs like search
  • calculator
  • and vector databases to create specialized autonomous agents.
  • Develop retrieval-augmented generation (RAG) systems to enable agents to provide accurate responses using your custom knowledge bases.
  • Deploy robust
  • production-ready AI workflows with built-in safeguards
  • human oversight
  • and structured decision-making to ensure reliability
  • Create multi-agent collaborative systems using frameworks like AutoGen and crewAI for advanced workflow automation.
  • Effectively debug and optimize AI agents to avoid common pitfalls such as looping
  • hallucinations
  • and inefficient resource use.

Requirements

  • Basic Python programming knowledge is recommended
  • although key concepts will be explained clearly for beginners.
  • General familiarity with AI concepts beneficial but not required.
  • A laptop or PC with internet access to perform hands-on projects
  • Interest in building practical
  • real-world AI-driven solutions.

Description

Welcome to the most complete, real-world course on AI Agents, LangChain, RAG, and Langflow-powered automation — designed for practical, production-level use.

Whether you're a developer, data engineer, entrepreneur, or tech enthusiast, this course will help you build and deploy production-grade AI agents that can search, retrieve, reason, and act — using cutting-edge tools like LangChain, Langflow, GPT-4, FAISS, RAG, AutoGen, CrewAI, and LangGraph.

What You’ll Learn

  • Build intelligent AI agents using LangChain, Langflow, and GPT-4

  • Create powerful Retrieval-Augmented Generation (RAG) systems for document Q&A

  • Use vector embeddings and FAISS to power semantic search

  • Automate workflows with multi-agent systems using AutoGen and CrewAI

  • Orchestrate stateful agents and workflows using LangGraph

  • Handle hallucinations, improve answer grounding, and trace source documents

  • Master tool use, memory systems, and advanced prompt engineering

  • Build no-code and low-code pipelines visually using Langflow

  • Create a monetizable AI portfolio with real-world projects

Why This Course is Different

  • Taught by a Senior Engineering Manager with 18+ years of experience at IBM Watson (California)

  • Combines theory with deep notebook walkthroughs for every concept

  • Covers everything from beginner basics to advanced RAG, LangGraph, and multi-agent orchestration

  • Includes hands-on notebooks, ready-to-use code, and mini-projects

  • Projects are interview-ready, SaaS-friendly, and resume-enhancing

Projects You’ll Build

  • Document-based AI Q&A Agent using RAG + GPT-4

  • Multi-Agent Chat System using AutoGen + CrewAI

  • Vector-based semantic search engine using FAISS

  • Workflow automation system using LangGraph + Langflow

  • Business intelligence bot powered by multi-modal agents

  • PDF-based contextual AI assistant with embedded tool use

Who This Course is For

This course is ideal for corporate teams, internal tool developers, and business automation professionals looking to upskill with AI agents and no-code automation workflows. Whether you're automating internal support, building knowledge bases, or deploying RAG pipelines at scale, this course will help you create scalable, maintainable agent systems.

  • Developers & engineers who want to build AI-powered tools

  • Data scientists exploring RAG pipelines, embeddings, and LLMOps

  • Founders creating AI SaaS products or internal agents

  • Students & professionals building job-winning AI portfolios

  • Anyone curious about how AI agents think, retrieve, and solve problems

  • This course is ideal for anyone learning how to build AI-powered assistants, GPT-based automation, AI workflow orchestration, internal chat agents, LLM pipelines, semantic AI search systems, and business-facing AI products using LangChain, Langflow, and GPT-4.


No prior ML or AI experience is required — just curiosity and willingness to build.

All code, documents, tools, and workflows are provided. You’ll also get access to our complete GitHub repository to follow along with the implementations.

What Else is Included

  • Udemy’s 30-Day Money Back Guarantee

  • Full lifetime access to all course materials

  • Instructor support via the Q&A section

  • Real-world projects for your portfolio or startup idea

Let’s build the future of AI — one agent at a time. Enroll now and start mastering AI Agents today.

Who this course is for:

  • Developers and software engineers (from beginner to advanced) interested in automating their workflows using AI.
  • Entrepreneurs and tech professionals aiming to innovate
  • automate
  • and scale their business processes.
  • AI and tech enthusiasts seeking practical
  • hands-on experience building and deploying AI-powered autonomous workflows.
  • Anyone curious about using GPT-4
  • LangChain
  • and Langflow to automate repetitive tasks and improve productivity.
AI Agents Bootcamp: Build with LangChain, RAG, Langflow, GPT

Course Includes:

  • Price: FREE
  • Enrolled: 2055 students
  • Language: English
  • Certificate: Yes
  • Difficulty: Beginner
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