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LifestyleArtificial Neural Network and Machine Learning using MATLAB (Udemy.com)
Learn to Create Neural Network with Matlab Toolbox and Easy to Follow Codes; with Comprehensive Theoretical Concepts
Created by: Nastaran Reza Nazar Zadeh
Last updated July 2026
What you will learn
- Develop a multilayer perceptron neural networks or MLP in MATLAB using Toolbox
- Apply Artificial Neural Networks in practice
- Building Artificial Neural Network Model
- Knowledge on Fundamentals of Machine Learning and Artificial Neural Network
- Understand Optimization methods
- Understand the Mathematical Model of a Neural Network
- Understand Function approximation methodology
- Make powerful analysis
- Knowledge on Performance Functions
- Knowledge on Training Methods for Machine Learning
How it compares
Against the other 126 rated Udemy courses in Deep Learning on CourseDuck:
- Rating4.4 out of 5higher than 32% of them
- Reviews486#71 of 127 by number of reviews
- Length4.6 hoursshorter than 80% of them
- Last updatedJuly 2026more recently than 87% of them
Course Description
This course is uniquely designed to be suitable for both experienced developers seeking to make that jump to Machine learning or complete beginners who don't understand machine learning and Artificial Neural Network from the ground up.
In this course, we introduce a comprehensive training of multilayer perceptron neural networks or MLP in MATLAB, in which, in addition to reviewing the theories related to MLP neural networks, the practical implementation of this type of network in MATLAB environment is also fully covered.
MATLAB offers specialized toolboxes and functions for working with Machine Learning and Artificial Neural Networks which makes it a lot easier and faster for you to develop a NN.
At the end of this course, you'll be able to create a Neural Network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.
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Instructor Details
- 4.4 Rating
486 Reviews
Nastaran Reza Nazar Zadeh
I have a Master of Science in computer engineering from Mapua University with over seven years of teaching experience in electronic and computer engineering programs in reputable academic institutions.
I am a researcher and adviser in the field of robotic and artificial intelligence; and a resource speaker in international events.
Currently, I'm the vice president of robotic in the Mechatronics and Robotics Society of the Philippines and active as the "Editor In Chief" for the 2nd International Conference on Automation, Mechatronics, and Robotics.
I am eager to share the experience and competence that I have developed as a Professional Engineer and provide the skills required to build some of these incredible systems.
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Reviews
By Girolama Airò Farulla on 11/25/2025
I like it very much. The notions are well explained, and the examples are very effective. Highly recommended course!
By akula neeraja on 3/22/2025
Reason for taking this course is optimization of my research process parameters using latest optimization techniques
By Assad Ahmed Abdallah Barri on 4/18/2024
It is a clear course, and the instructor is well prepared and has good teaching skills. So far l am learning alot.
By Sagar Mishra on 7/11/2023
yes, it was ok for me. but I was interested in the hydrological forecasting of river basins by ANN. But the basic concept was clear to me.
By kirby valtaria Rainer on 12/18/2022
I really enjoyed this course, and was surprised by how little I knew even though I do have experience with some machine learning and classification methods.
By Madhu Krishna K on 2/2/2022
Good and informative course. But........ Only NN fitting was explained in this course. I was expecting about the other NNs also. Thank you.
By JinYuan on 11/17/2021
1 star for Section 3: Fundamentals of Artificial Neural Network. The theory is poorly taught and not suitable for beginners. 5 star for MATLAB NN explanation and demostration.
By Emílio Émerson Xavier Guimarães Filho on 6/3/2021
I started this course after reading an article about an application in chemical engineering using MPL as a predictor to a heat exchanger and since I never used Python but Matlab, I decided to choose this one. It's excellent! Thank you for building this course and surely I'll move foward to learn more about this topic.
By Satyam Shah on 5/22/2021
It is a Great beginner level course. I was expect some more topics such a optimization method to find the number of layers and neurons for a network.
By Christeena Jose on 10/17/2020
I am civil engineering student without any coding skills. This course helped me to understand the concepts of neural networks and its application. Now I can use it in my thesis work.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 88 / 100
- Video Duration:
4.6h - Price: $10.99
- Provider: Udemy
- Updated:
July 2026 - Level:
All Levels - Language:
English - Certificate:
Yes
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