The Implementing Cisco Crosswork Network Controller (SPCNCI) v1.0 self-paced course introduces you to the Cisco^® Crosswork Network Controller (CNC) and its installation. Through a series of lectures and labs you will learn to use Cisco CNC to streamline, manage, and automate service lifecycle functions spanning across service provisioning, visualization, monitoring, and optimization. You will also get an overview of Cisco CNC as an IP transport network controller platform, of its components, and of its utility in various use-cases such as boosting operational agility, improving intent-based service delivery, and reducing the cost of operations.

This course will also teach you about creating custom service definitions, tactical traffic engineering policies, automated provisioning of services, and real-time traffic optimization. Additionally, you will learn about implementing closed loop automation workflows for remediation, optimization, and maintenance. Finally, this course will teach you to understand APIs to help interface with other systems, as well as best practices, including sizing guidelines across components of the CNC meant to meet scalability and high-availability requirements.

This course will help you:

• Deploy the CNC with associated component and applications
• Describe the advantages of CNC for service lifecycle functions
• Prepare to enable CNC to interface with other systems
• Understand the Cisco CNC as an IP transport network controller platform

This new Cisco self-paced course is designed to be as effective as classroom training. Course content is presented in easily-consumable segments via both Instructor Video and text. Interactivity is enabled through Discovery Labs, content review questions, and graded Challenge labs and tests. This makes the learning experience hands-on, increasing course effectiveness, and provides students direct feedback on how well they have mastered the material. And gamification features are built in, including earning badges and a leaderboard, to encourage better performance.