IP Networking Masterclass - 22 Hours!
What you'll learn
- IP Networks and Subnetting Foundation
- IP Setup in Linux and Windows
- Virtual Network Setup with GNS3
Requirements
- A Compter (Windows or Linux) with Internet Access
- Basic maths Binary Numbers
- Virtualisation Software: VMWare Player (Free) or Virtual Box
- GNS3 sotfware (Free)
Description
It is critical to know Network IP addressing and Subnetting for the IT and Non-IT professionals like Researchers, Scientific Developers to succeed in the real work and passing most IT certifications. Network IP Subnetting is basically dividing your network in different sub networks. By doing this, you can produce different broadcast networks with you one nework. There are types of Subnetting. Each subnet allows its connected devices to communicate with each other, while routers are used to communicate between subnets. The size of a subnet depends on the connectivity requirements and the network technology employed.
A point-to-point subnet allows two devices to connect, while a data center subnet might be designed to connect many more devices. This course will help you learning the basic foundation of IP address, it's format, ways to assign them, subnetting, and how to subnet.
The benefits of subnetting an existing network vary with each deployment scenario. In the address allocation architecture of the Internet using CIDR and in large organizations, you can think it is necessary to allocate address space efficiently. If you learn how to do a good Subnetting it may also enhance routing efficiency, or have advantages in network management when subnetworks are administratively controlled by different entities in a larger organization. Your Subnets may be arranged logically in a hierarchical architecture, partitioning an organization's network address space into a tree-like routing structure, or other structures such as meshes.
WHAT YOU'LL LEARN IN THIS COURSE:
IP Networks (Animated)
Subnetting - why do we subnet?
Subnet Masks and CIDR
DNS
DHCP
Firewall
Linux and Windows IPv4 Networking
Virtual Networks Testing with GNS3
In this course you will be learning all the important information you need to fully understand IPv4 addressing which is directly related to your Cisco CCNA, RHCSA, RHCE, MCSA and MCSE Exams, or any other IT exams you may be taking. Once you learn the details and key topics, you will learn the tricks and tools which will allow you to subnet any question quickly and accurately!
MONEY BACK GUARANTEE IF NOT 100% SATISFIED!
When you enroll you will get lifetime access to all of the course contents and any updates and when you complete the course 100% you will also get a Certificate of completion that you can add to your resumé/CV to show off to the world your new-found Python & Scientific Computing Mastery! Don't forget to join our Q&A live community where you can get free help anytime from other students and the instructor. This awesome course is a component of the Learn Scientific Computing master course.
What are you waiting for? Click that shiny enroll button and we'll See you inside ;)
Who this course is for:
- Networking and IT Students, Non-ITs Welcome!
Instructors
The Scientific Programming Instructor Team helps you to learn the use of scientific programming languages, such as CUDA, Julia, OpenMP, MPI, C++, Matlab, Octave, Bash, Python Sed and AWK including RegEx in processing scientific and real-world data. The teamed is formed by PhD educated instructors in the areas of Computational Sciences.
Scientific programming is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems.
The Scientific Programming School, with 50,000 students is an awesome e-education start-up initiative to provide professional training and practice courses for Scientific Coding, Linux, and Big Data. It is also an interactive and advanced e-learning platform that gives you the opportunity to run scientific codes/ OS commands as you learn with playgrounds and Interactive shells inside your browser. Scientific Programming Instructors specialize on Linux, Devops, HPC and Data Science coding with scientific programming. Currently we support three OS (Ubuntu, RHEL and SuSE) and 50+ programming languages including the commercial ones like Matlab. At the Scientific Programming School you start learning immediately instead of fiddling with OS, VMs, SDKs and/ IDEs setups. It‘s all setup with Docker on the cloud.