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This course demystifies the current buzz around generative AI by integrating output from Large Language Models (LLMs) into complex network automation workflows. In this course, Generative AI for Network Automation, you will learn how to make intelligent requests to generative AI models and receive precise, accurate responses for a highly productive network automation environment.
Efficiently convert network configurations across different vendors/devices using generative AI. Implement robust pre-deployment validation processes to mitigate the risk of configuration errors. Automate network deployment and testing to streamline operations and improve reliability. By the end of this course, you will be equipped with the automation-oriented generative AI skills necessary to address specific business challenges related to network configuration, troubleshooting, deployment, and validation.
The AI Lab Infrastructure is built with the Criterion Networks NetDevOps Cloud Platform with AI Tools. Deployment consists of CI/CD pipelines with AI Assistant for design creation and configuration generation. The deployment is automated using Criterion’s Network Automation Center, with Infrastructure as Code (IaC) tools that can be integrated into existing CI/CD pipelines or AI Ops platform to accelerate deployments.
| Technical Leaders/Managers | Software Engineers (Dev/Test) | Network Support Engineers |
| Technical Marketing Engineers | Network Administrators/Engineers | Sales/Systems Engineers |
Participants need to have the below requirements to be able to do hands-on exercises.
Good Content, very good introduction part about SD-WAN
The instructors demonstrated profound knowledge about the topic, labs were well prepared
The whole lab was excellently organized and set up. Kudos to the team!
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