The audience for this course is system's administrators desiring to automate provisioning, configuration management, service deployment, operational processes. This course covers all the core Ansible features including: installing and configuring, running ad-hoc commands, understanding modules, creating and using playbooks, variables and inclusion, task control, templates, and roles. The course also covers: dealing with sensitive data via Ansible Vault, integration with Docker and Vagrant, networking, and troubleshooting.
The ability to store, aggregate, and analyze large amounts of data has transformed nearly every industry. Whether finance, medicine, entertainment, government, or technology; the dream is the same: use enormous amounts of data to understand problems, predict outcomes, and take effective action. While many advances make the dream of “big data” possible, one of the most important components of the technical stack is the engine that provides the “distributed computing.” In many organizations, Apache Spark is the computational engine that powers big data. A general purpose unified analytics engine built to transform, aggregate, and analyze large amounts of information; Spark has become the de-facto brain behind large scale data processing, machine learning, and graph analysis. It has seen rapid adoption by companies such as Netflix, Google, eBay, and others to analyze at massive scale processing petabytes of data on clusters of thousands of nodes. In this course, we will explore how Apache Spark can be used for data processing. We will cover the fundamentals of Spark including the architecture and internals, the core APIs and data structures, and how Spark can be used for machine learning and analyzing streaming data sets. Throughout the course, you will:
- Understand when and where to use Spark.
- Leverage strategies to create data-driven questions that can provide scientific or business value.
- Learn how to use Apache spark to load, summarize, query, and visualize structured and semi-structured data.
- Introduce common machine learning techniques that can be used to solve supervised and unsupervised problems inside of Spark.
- Learn how to analyze streaming data using Spark Streams.
- Gain hands-on experience with techniques for deploying Spark as part of larger software system.
This course will provide foundational level knowledge of cloud services, and how cloud services are provided with Microsoft Azure. The course can be taken as an optional first step in learning about cloud services and Microsoft Azure.
Introducing Python and Web Services Protocols for Network Engineers 3.0 is a 4-day hands-on course that focuses on the interoperability of Python programming with Networking to prepare the Next Generation Engineers for Software Defined Networking. This class is designed for Network Engineers and Administrators looking to add necessary programming skills in preparation for various ACI and SDN technologies as well as interacting with WEB Services on appliances such as the F5, A10, and UCS. The course has been modified to emphasize the skillset of data extraction for interacting with BIG DATA platforms. To participate in the hands-on labs in this class, you need to bring a laptop computer with the following:
- Windows 7 or 8.1 or 10 is recommended. Mac OSX 10.6 or greater is supported as well.
- Intel Celeron or better processors are preferred.
- 1 GB or more of RAM
- Browser Requirements: Internet Explorer 10 or greater or Mozilla Firefox. (Safari and Mozilla Firefox for Mac OSX)
- All students are required to have administrator rights to their PCs and cannot be logged in to a domain using any Group Policies that will limit their machine's capabilities.
- If you do not have administrator rights to your PC, you at least need permissions to download, install, and run Cisco Any Connect Client.
- If you are participating in a WebEx event, it is highly recommended to take this class at a location that has bandwidth speeds at a minimum of 1 Mbps bandwidth speeds.
This four-day course leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by graduated lab exercises. Python Programming is a practical introduction to a working programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world.
Containers are a powerful tool for developing and managing software. When combined with DevOps practices, it is possible for organizations to efficiently deliver applications and services at high velocity. This training course introduces containers and two of the most popular tools for their management and orchestration: Docker and Kubernetes. They will be introduced to the core components of both Docker and Kubernetes as they apply to the software development process. Topics covered include: containers, tools for local management, pods, labels, volumes, networking, replication controllers, services, and stateful sets. Students will get hands-on experience with how the technologies can be used to deliver software following microservices and DevOps strategies, and will create a complete continuous integration and deployment (CICD) pipeline showing how Docker and Kubernetes can be used to manage the software lifecycle. Components of the broader software ecosystem including Ansible, Jenkins, and Spinnaker will also be covered as they pertain to Docker/Kubernetes. At the end of the course, participants and teams will understand how to build secure, robust, highly available services that are resilient and able to adapt to rigorous application demands. They will also be able to show how components of the ecosystem can be combined to create larger systems addressing complex use-cases.
Ever used an app or been on a website that was completely dysfunctional? In this class you will learn how important the user experience is and how to build functional apps and websites. Our approach is a combination of lecture and hands practical exercises to help a student learn the full UI/UX development model. The student will be able to summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.