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AI Agents for Beginners (Udemy.com)

Hands-on course that makes building real AI agents easy and fun. No setup hassles, just practical.

Created by: Mumshad Mannambeth

Last updated September 2026

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What you will learn

  • Master the core mechanics of LLMs, including tokenization, context windows, and advanced temperature sampling for predictable model outputs.
  • Integrate LLMs with external tools and APIs to transform static chat models into dynamic systems capable of performing real-world actions.
  • Architect autonomous agents using the ReAct framework, implementing memory and reasoning loops to solve complex, multi-step problems.
  • Design and deploy multi-agent systems and safety patterns using industry-standard frameworks to build production-ready AI assistants.

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
  • Reviews280#737 of 1,183 by number of reviews
  • Length2 hoursshorter than 83% of them
  • Last updatedSeptember 2026more recently than 94% of them

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Course Description

AI can feel overwhelming. This course is designed to make it practical, approachable, and fun.

In this hands-on course, you’ll start from the fundamentals of AI and large language models, then work your way up to building real AI agents from scratch. You’ll learn how models like ChatGPT actually work, including transformers, tokens, context windows, temperature, prompting, and API-based development. From there, you’ll move into the architecture of AI systems, where you’ll explore tools, tool calling, workflows, and the key difference between workflows and true agents.

The course goes beyond theory. You’ll build and experiment with real agents inside guided lab environments, without worrying about infrastructure setup, API keys, or unexpected cloud costs. Everything is provided so you can stay focused on learning and building.

Throughout the course, you’ll create four AI agents: Zippy, Savvy, Meshy, and Cody. You’ll see how a simple single agent evolves into a multi-agent system, with specialized agents for research, memory, and coding. You’ll also learn core implementation patterns such as memory, planning, reasoning, error handling, and multi-agent orchestration, along with coding agent patterns inspired by production systems used by leading AI companies.

By the end of this course, you’ll know how to design, build, test, and deploy effective AI agents with confidence.

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Instructor Details

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.

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Reviews

4.5

280 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Deshraj Thakur on 9/7/2026

looking for new course for more practical and hands on project

By Saqib on 8/28/2026

The teacher can explain the ideas with clarity. I find it super easy to follow and comprehend.

By Ashish on 8/25/2026

very nice way of explaining the core concepts, it really helped me understand the core concepts/patterns first before diving deep into complex system designing via agents

By Joann Young on 8/21/2026

Very good basic information and ways to explain it that I can use.

By Asheesh Srivastava on 8/20/2026

As a responsible citizen, we should also talk about impact of using AI on environment. We should mention about of power consumption and water needed for cooling at data centers for even small interaction with these AI models.

By Abhijeet Waghmare on 7/26/2026

Based on my previous experience with kodekloud I have purchase this course, I feel this course not giving much knowledge because in entire course I did copy paste and nothing else, please elaborate more to understand the concept.

By Niyi Adelami on 6/24/2026

The foundational concepts are well explained. Compared to other materials I have seen, this is easy to understand and interesting to follow

By Mohamed kandil on 6/16/2026

it is amazing.simplifying the concepts heavily.Thanks for sharing.

By Prakash Trivedi on 5/9/2026

The course provided strong foundation in topic, The hands-on lab exercises were highly effective for reinforcing the theory. overall, it is a highly valuable course for someone starting AI journey.

By Vikas Sharma on 4/28/2026

I liked the labs but some outputs in labs were not working as expected but still was good experience.

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Overall Score : 90 / 100