- Description
- Curriculum
- Reviews
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
Deploy scalable agents on AWS, GCP, and Azure
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
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
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.
