Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 Course Overview

To ensure a successful learning experience in the Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 course, students should have the following minimum prerequisites:

• Basic understanding of networking protocols, such as Ethernet, TCP/IP, and the OSI model.
• Familiarity with Cisco data center technologies and solutions, including ACI, NX-OS, and Cisco UCS.
• Experience with network administration or network engineering, ideally within a data center environment.
• Fundamental knowledge of software development or scripting languages, particularly Python.
• Basic experience with Linux operating system and command-line interface (CLI) usage.
• Understanding of data center virtualization technologies.
• Awareness of the principles of cloud computing and Infrastructure as a Service (IaaS).
• Knowledge of configuration management tools such as Ansible or Puppet is advantageous but not mandatory.

It is important to note that while these prerequisites are meant to provide a foundation for the course material, individuals with a strong commitment to learning and a willingness to engage with new concepts can also succeed. Koenig Solutions offers a supportive learning environment that encourages students to expand their expertise and develop new skills in the field of data center automation.

Target Audience for Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0

The Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 course is tailored for professionals aiming to master data center automation using Cisco technologies.

Target audience for the course includes:

• Network Engineers
• Systems Engineers
• Data Center Engineers
• Network Administrators
• Network Architects
• Solutions Architects
• Cloud Infrastructure Engineers
• DevOps Professionals
• Network Automation Engineers
• Technical Solutions Architects
• Infrastructure Automation Engineers
• Cisco Integrators/Partners
• IT Professionals working with Cisco ACI and NX-OS
• Professionals seeking Cisco DCACIA certification

Learning Objectives - What you will Learn in this Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0?

Introduction to Learning Outcomes

The Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 course equips students with the expertise to leverage automation and programmability in Cisco data center environments, utilizing tools such as Python, Ansible, and Cisco's APIs.

Learning Objectives and Outcomes

• Understand and perform version control operations using git for efficient source code management.
• Gain knowledge of API styles, including REST and RPC, and be able to describe their characteristics.
• Learn the common patterns and challenges when consuming APIs both synchronously and asynchronously.
• Interpret and write Python scripts that work with data types, functions, classes, conditions, and implement iterative control structures.
• Recognize the advantages of using virtual environments in Python for dependency management and project isolation.
• Utilize Ansible and Puppet for network configuration automation, understanding their benefits in data center settings.
• Work with Cisco ACI environments to explore REST API calls, and develop Python scripts and Ansible playbooks for policy automation.
• Understand Kubernetes integration with Cisco ACI using the ACI CNI plugin to enhance infrastructure automation.
• Implement device-centric network automation using NX-OS features, including Day 0 provisioning, On-Box and Off-Box programmability.
• Configure and automate Cisco UCS and DCNM using developer tools and APIs, and manage workflows through UCS Director.