AI Agents Fundamentals (Udemy.com)
Your complete, hands-on exploration of AI Agents
Created by: Mumshad Mannambeth
Last updated September 2026
What you will learn
- Build with LangChain: Use the LangChain framework to create practical, AI-driven applications, starting from your very first API call.
- Master Prompt Engineering: Apply effective prompt engineering techniques directly within LangChain to precisely control and steer AI behavior.
- Implement RAG & Vector Databases: Build and utilize a vector database to create a semantic search engine and implement the RAG architecture.
- Design Stateful Workflows: Use LangGraph to construct complex, stateful AI workflows that can perform multi-step tasks and integrate with external tools.
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.5 out of 5higher than 45% of them
- Reviews89#1,027 of 1,183 by number of reviews
- Length1 hourshorter than 96% of them
- Last updatedSeptember 2026more recently than 94% of them
Course Description
Unlock the power of next-generation AI Agents with this hands-on, practical learning experience. This comprehensive course guides you step-by-step through the essentials of building, deploying, and managing sophisticated AI-driven applications. You'll move beyond simple chatbots to create autonomous agents that can reason, plan, and interact with their environment using industry-leading tools and frameworks.
Your journey begins with the fundamentals. You'll start by making your very first AI API call, demystifying the connection between your code and a large language model. From there, you'll progressively deepen your understanding through practical labs on LangChain, the premier framework for agent development. Master powerful prompt engineering techniques to precisely control your agent's behavior. Then, discover how to give your agent a "memory" by harnessing vector databases, culminating in a real-world project: building a semantic search engine for technical documentation.
With the foundation set, you'll explore advanced architectures. Dive deep into the RAG (Retrieval-Augmented Generation) approach, learning how to connect your agents to external knowledge sources to provide accurate, up-to-date answers. You'll then be introduced to LangGraph, a powerful tool for building complex, stateful AI workflows. This allows your agents to perform multi-step tasks, make decisions, and loop until a goal is achieved. The course concludes with advanced concepts, where you'll extend LangGraph capabilities by integrating external tools and APIs.
Whether you're new to AI or a developer looking to integrate agentic capabilities, this course provides the skills and confidence to create your own intelligent workflows. By the end, you won't just understand AI agents; you'll be building and deploying them from scratch, ready to tackle complex, real-world problems.
Instructor Details
- 4.5 Rating
89 Reviews
Mumshad Mannambeth
Mumshad is an IT Solutions Architect and specializes in Cloud Native Computing, Automation and DevOps. He is the founder of KodeKloud - a hands-on learning platform and a Certified Kubernetes Training Partner. He is passionate about learning new technology and teaching. He believes the best way to learn is to learn by doing and in a fun way. Mumshad has authored multiple courses on DevOps, Cloud and Automation technologies. His courses focus on providing students with an interactive and hands-on experience in learning new technology that makes learning really interesting.
More courses by Mumshad Mannambeth
Kubernetes for the Absolute Beginners - Hands-on (2026)
4.6 (115,151 Reviews)
Provider: Udemy
Time: 6.6h
$27.99
Certified Kubernetes Administrator (CKA) with Practice Tests (2026)
4.7 (93,948 Reviews)
Provider: Udemy
Time: 26h
$27.99
Docker for the Absolute Beginner - Hands On - DevOps (2026)
4.5 (73,985 Reviews)
Provider: Udemy
Time: 2.8h
$27.99
Ansible for the Absolute Beginner - Hands-On - DevOps (2026)
4.5 (53,661 Reviews)
Provider: Udemy
Time: 2.3h
$24.99
Kubernetes Certified Application Developer (CKAD) with Tests (2026)
4.7 (41,276 Reviews)
Provider: Udemy
Time: 16.6h
$22.99
Terraform for the Absolute Beginners with Labs (2026)
4.6 (19,560 Reviews)
Provider: Udemy
Time: 4.6h
$94.99
More IT & Software courses
D3.js Data Visualization Fundamentals - Hands On (2026)
4.9 (3,917 Reviews)
Provider: Udemy
Time: 4.6h
$49.99
Hands-On Training: Streaming Data with Apache Kafka on Azure (2025)
4.9 (103 Reviews)
Provider: Udemy
Time: 3.7h
$10.99
Oracle Grid Infrastructure and RAC using Oracle Database 19c (2026)
4.8 (2,499 Reviews)
Provider: Udemy
Time: 8.7h
$19.99
PowerShell Scripting & Automation: The Complete Hands-On (2026)
4.8 (1,750 Reviews)
Provider: Udemy
Time: 9.6h
$11.99
AWS EC2 Crash Course + Load Balancing with Demos and PDFs (2025)
4.8 (866 Reviews)
Provider: Udemy
Time: 3.7h
$19.99
Reviews
By Muhammad Abdul Rehman on 7/27/2026
Awesome Course provides detailed explaination in short time
By Abhilash Ponnachan on 6/26/2026
Short to the point covering foundational AI Engineering topics with hands-on lab
By Mattia Borrini on 5/27/2026
Si sembra perfetto, conosco python quindi mi trovo a mio agio a lavorare cosi
By Socrates Jose Coquia on 4/3/2026
Very informative lesson in learning AI Agents
By Migdalia Iveth Mateo Pérez on 3/6/2026
I really like this course because explain and show how apply, then each class high level with clearly examples
By Emiliy Feldman on 2/3/2026
Good overview, but labs are too easy. On the other hand, if you're not an IT person, it may be complicated
By Jorge Pintor on 1/6/2026
Great content for someone looking to get into AI agents, clear concept explanation. There were some issues on the labs requiring additional code changes to fix library updates
By Mahalakshmi Y on 1/5/2026
Course provides detailed explaination in short time
By Sridhar Samineni on 1/5/2026
It's not for beginners.
By Comfort Agwu on 12/27/2025
I just started and I already believe that I'm not returning back the same way I came
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 90 / 100












