This is the code repository for Puppet 5 – From Beginner to Pro [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Puppet 5 – From Beginner to Pro gets you up-and-running with the very latest features of Puppet 5, including Docker containers, Hiera data, and Amazon AWS cloud orchestration. Go from beginner to confident Puppet user with a series of clear, practical examples to help you manage every aspect of your server setup. This course teaches you how to install packages and config files, create users, set up scheduled jobs, provision cloud instances, build containers, and so much more.
Every example in this course deals with something practical that you're likely to need in your work, and you'll see the complete Puppet code that makes it happen, along with step-by-step instructions on what to type and what output you'll see.
- Define and work with the main objects in the TensorFlow library
- Understand the basic workflow of building models and implement TensorFlow programs
- Build Deep Learning models and use them to solve real problems
- Gain practice using both the low-level and the high-level APIs of TensorFlow and understand which one is better for your project
- Boost the performance of the traditional supervised and unsupervised machine learning models with the use of Deep Learning
To fully benefit from the coverage included in this course, you will need:
Puppet 5 – From Beginner to Pro is designed for those who are familiar with Puppet, including system administrators and developers who are looking to manage computer server systems for configuration management.
This course has the following software requirements:
Operating System - Ubuntu 16.04 LTS
Puppet 5,
Vagrant,
Virtual Box,
Docker