10 Online Network Courses from Beginner to Advanced
In this post we prepare a list for you with online Network Courses to expand your expertise.
Computer network may be classified by many criteria, including the transmission medium used to carry signals, bandwidth, communications protocols to organize network traffic, the network size, the topology, traffic control mechanism, and organizational intent.
A computer network is a group of computers that use a set of common communication protocols over digital interconnections for the purpose of sharing resources located on or provided by the network nodes. The interconnections between nodes are formed from a broad spectrum of telecommunication network technologies, based on physically wired, optical, and wireless radio-frequency methods that may be arranged in a variety of network topologies.
The nodes of a computer network may include personal computers, servers, networking hardware, or other specialised or general-purpose hosts. They are identified by hostnames and network addresses. Hostnames serve as memorable labels for the nodes, rarely changed after initial assignment. Network addresses serve for locating and identifying the nodes by communication protocols such as the Internet Protocol. Below we present the network courses for you!
Artificial Neural Network and Machine Learning using MATLAB
via Udemy
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.
★★★★★(5-star rating)
Deep Learning and Neural Networks – Complete BootCamp [2020]
Abhishek Kumar via Udemy
A complete course on Deep Learning and Neural Networks concepts in a simplified and easy to understand manner. In this course, you will learn the foundations of deep learning. The course covers following: Introduction to Neural networks and its Applications, Basics of Neural Networks, NumPy crash Course and Vectorization, Shallow Neural Networks, Deep Neural networks, Key parameters in neural network architecture. Let’s dive into the course.
★★★★★(5-star rating)
Networks: Friends, Money, and Bytes
Mung Chiang via Coursera
You pick up your iPhone while waiting in line at a coffee shop. You google a not-so-famous actor, get linked to a Wikipedia entry listing his recent movies and popular YouTube clips of several of them. You check out user reviews on Amazon and pick one, download that movie on BitTorrent or stream that in Netflix. But suddenly the WiFi logo on your phone is gone and you’re on 3G. Video quality starts to degrade, but you don’t know if it’s the server getting crowded or the Internet is congested somewhere.
★★★★★(5-star rating)
Practical Neural Networks and Deep Learning in Python
Minerva Singh via Udemy
It is a full 5–Hour+ Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning using one of the most important Python Deep Learning frameworks. This course is your complete guide to practical machine & deep learning using the PyTorch, H2O, Keras and Tensorflow framework in Python. This means, this course coversthe important aspects of these architectures. By gaining proficiency in PyTorch, H2O, Keras and Tensorflow, you can give your company a competitive edge and boost your career to the next level.
★★★★★(5-star rating)
How to become successful QA Tester in Computer Networks
Alik Feld via Udemy
This is the single Computer Network course on Udemy that dedicated for QA SW Testers only and it already receives the great feedback from IT professionals and new students. This training will teach you everything to become a real professional in testing the Computer Network products that are the heart of Modern Internet communication, even if you don’t have experience. If you are a professional QA Tester without Computer Network knowledge, join to this course to become a part of this progress and to complete the missing professional skills and education.
★★★★★(5-star rating)
Hands-On Neural Networks From Scratch for Absolute Beginners
John Williams via Udemy
This isn’t Neural Networks 101…this is the course you take before you take Neural Networks 101, except you actually write and train neural networks in Javascript and when you are finished know more about how Neural Networks actually work than had you taken Neural Networks 101! After you take this course you will not only understand how neural networks work…but have working code, to experiment and play with, that you understand from scratch!
★★★★★(5-star rating)
Network Security (FREE)
Jonathan S. Weissman via Edx
In this course, you will examine the various areas of network security including intrusion detection, evidence collection and defense against cyber attacks. The issues and facilities available to both the intruder and data network administrator will also be examined to illustrate their effect. You will learn the principles and concepts of wired and wireless data network security. You will be guided through a series of laboratories and experiments in order to explore various mechanisms for securing data networks including physical layer mechanisms, filters, applications and encryption.
★★★★★(5-star rating)
4G Network Essentials (FREE)
Christophe Couturier via Edx
4G is the cutting–edge network technology that links millions of smartphones to the internet. First, you’ll gain exposure to the global architecture of the network, how the radio interface works, and how security is guaranteed. Then you’ll dive into the operational side. What is a bearer? How is it quickly configured and released? How does 4G handle millions of terminals that are on the move all the time? By mastering the key concepts of 4G, you can be ready for the next chapter in mobile networking—and the jobs of the future.
★★★★★(5-star rating)
Neural Networks in Python from Scratch: Complete guide
Jones Granatyr via Udemy
Artificial neural networks are considered to be the most efficient Machine Learning techniques nowadays, with companies the likes of Google, IBM and Microsoft applying them in a myriad of ways. Neural networks have been used for a while, but with the rise of Deep Learning, they came back stronger than ever and now are seen as the most advanced technology for data analysis. It s important to highlight that the step–by–step implementations will be done without using Machine Learning–specific Python libraries, because the idea behind this course is for you to understand how to do all the calculations necessary in order to build a neural network from scratch.
★★★★★(5-star rating)
Software Defined Networking (FREE)
Dr. Nick Feamster via Coursera
In this course, you will learn about software defined networking and how it is changing the way communications networks are managed, maintained, and secured.
★★★★★(5-star rating)
