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Why Pentesting is Vital to the Modern DoD Workforce

Webinar – Recorded | Feb. 26, 2019

Watch this recorded webinar as CompTIA’s chief technology evangelist and Global Knowledge’s federal sales director discuss how pentesting has morphed.

Why It’s Critical to Apply the Risk Management Framework to Your IT Modernization Plan

Webinar – Recorded | Sep. 27, 2018

Watch this recorded webinar to understand the basics of the Risk Management Framework (prescribed by NIST Standards) and how to begin to apply it.  

What is Blockchain and How it Will Impact Your Business

Webinar – Recorded | July 13, 2018

With blockchain constantly in the news, business leaders are not only asking themselves what it is but most importantly, what’s in it for me and my business. If you’ve asked those questions, this webinar is for you! In it you will not only learn what blockchain is, but understand its impact and potential for your business. We will demonstrate some of its immediate use cases in technology, business, and enterprise products and institutions.  

Global Knowledge Guide to Python

Special Report | Aug. 08, 2016

Whether you’re a beginner or intermediate Python developer, you’ll want to keep this guide close to your keyboard and Python editors. In it, you’ll find sample use cases for many of the most common language constructs and tasks that you’ll likely need to perform, such as reading a file or working with a database.

Business Process Modeling: From Macro to Micro

Webinar – Recorded | Nov. 12, 2015

Business processes are complicated, and mapping them is not a trivial task. Modelling standards give us the tools to model complex processes, but they do not tell us the best way to approach a model or effectively use the tool. In this hour-long webinar, Global Knowledge instructor Rod Fage will guide you through the best way to develop a model, from determining the goal and scope of the process and measuring its effectiveness, to modelling the process in a hierarchical top-down approach, enabling business analyst to continuously validate the model.