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Automation Priorities for 2025
A step-by-step guide to achieving automation success.
How to Automate Everything Right: WWT's 6 Principles of Automation
Automation plays a critical role in our daily work, touching solutions that span technologies, partners and industries. In our many years of working with clients, we've identified six principles that can help organizations automate everything right.
Executive Leadership in the Age of AI: Lessons from WWT Co-Founder and CEO Jim Kavanaugh
AI is reshaping business faster than any technology in history. But while employees are already using AI daily, enterprises are struggling to capture value at scale. In this episode of the AI Proving Ground Podcast, WWT Co-Founder and CEO Jim Kavanaugh explains why executive leadership is the critical factor in moving beyond pilots, how companies should build the right foundations for AI and why waiting on the sidelines may be the biggest risk of all.
Core Python Concepts
This learning path introduces the learner to the fundamental concepts of the Python programming language. It is intended to arm the learner with a solid foundation, starting with installing Python and continuing through authoring and executing their first Python application.
Edge AI Kubernetes: An Enterprise Blueprint
Immutability, zero-touch, fleet automation and disconnected ops for thousands of sites.
What's new
Automation Core Concepts
The Automation Foundations learning path is designed to prepare infrastructure architects and engineers for the journey toward automation. Automation in practice includes a broad ecosystem of skills beyond the specific language or system chosen to automate or orchestrate. This learning path targets building that ecosystem of skills to ensure your automation journey is successful. The fundamental skills covered in this learning path include Linux operating system concepts, setting up your development environment, version control and collaboration features, formats for your data, and application programming interfaces. Each concept covered in this learning path is coupled with both content and hands-on exercises to solidify the knowledge.
Infrastructure Automation with Ansible Automation Platform
This learning path is designed to take your automation journey to the next level. The goal of this learning path is prepare you to implement your automation in an enterprise environment using the Ansible Automation Platform.
CICD for Automation Engineers
This lab is a component of the Infrastructure Automation Automated Testing learning path in the Infrastructure Automation with Ansible Learning Series. The goal of this learning path is to provide hands-on and practical exposure to the concepts of implementing Continuous Integration Continuous Delivery.
The lab will utilize Gitea as the Source Code Manager (SCM) which includes Gitea Actions for executing CICD Workflows. Gitea Actions map almost identically to GitHub actions so the Gitea specific knowledge gained maps directly to GitHub implementations. The general concepts learning through this lab are also valuable and applicable across other implementations.
Implementing Static Code Analysis
Ensuring your code meets syntactical and style standards is an important part of the automation development process. This training lab will introduce you to different linters that can be used in an Ansible automation development lifecycle.
A linter is a tool that analyzes source code to identify and report potential errors, bugs, stylistic errors, and other issues, helping to improve code quality.
You will learn about two different linters and multiple points of execution to ensure that only clean code reaches your production branch.
Introduction to Ansible Molecule
Explore the fundamentals of Ansible Molecule in this hands-on lab, designed to introduce learners to automated testing for Ansible roles and playbooks. Participants will gain practical experience in setting up test scenarios, running Ansible Molecule's various stages from the command line, and integrating Ansible Molecule with a CICD pipeline.
Using NetBox Custom Objects
NetBox's custom objects enable tailored data modeling. As organizations seek comprehensive data integration, custom objects empower deployments by embracing the ability to model unique environments, driving innovation and standardization in infrastructure automation. Explore how custom objects can transform your network management strategy.
F5 Terraform Automation Lab
Welcome to WWT's F5 Terraform Automation Lab.
The intended goal of this lab is to introduce and enable F5 administrators to utilize Terraform to automate, simplify and streamline the deployment of F5 services.
NetApp Ansible Automation Lab
Learn to automate NetApp ONTAP using Ansible. This lab provides an overview of GIT and Ansible to understand how they work together to simplify the automation of NetApp storage solutions.
Achieve OWASP Compliance Through BIG-IP AWAF
Systems are at higher risk without a concerted, repeatable application security configuration process. In this lab, you will learn how to build a declarative AWAF policy and achieve OWASP Top Ten (2021) compliance with the BIG-IP OWASP Compliance Dashboard. A complete CI/CD pipeline is used to deploy our AWAF policy to the BIG-IP system using Application Services 3 Extension (AS3) and Ansible.
NetBrain Essentials for Network Operations
In this hands-on lab, you'll walk through a complete NetBrain operations workflow, starting with live visibility and then layering in intent-based automation, golden standards, and scheduled rule checks with dashboards. Each module builds on the last so that by the end, you've turned assumptions about "what's going on in the network?" into a repeatable, automated practice.
Software Image Management (SWIM): Fixing the IT Infrastructure Gap
Struggling with slow, manual network updates? Discover how Software Image Management (SWIM) closes the IT infrastructure gap by automating patching, boosting compliance, and eliminating configuration drift so your team can focus on innovation and your business stays competitive.
Infrastructure as Code Fundamentals With Terraform and Azure
Learn how to use Terraform to build and manage Azure infrastructure through code.
Partner POV | Simplify IT Operations with Dell Automation Platform
In today's fast-changing IT landscape, organizations face a relentless pace of innovation coupled with rising operational complexity.
Automation: The Building Block of AI Success for Fortune 500 Companies
To achieve true AI success, organizations must first automate, establishing the data, technologies and frameworks that make intelligence possible.
Infrastructure as Code Fundamentals Lab With Terraform and AWS
Learn how to use Terraform to build and manage AWS infrastructure through code.
Network Service Orchestrator Lab (NSO)
The Cisco Network Service Orchestrator (NSO) is a robust service orchestration engine widely utilized by Service Providers to efficiently deliver and manage network services. Beyond its traditional use, many enterprises have embraced NSO for large-scale operational tasks and to meet their own service management requirements. This lab environment supports WWT's NSO workshops and training sessions, providing an ideal platform for learning, experimenting, and developing NSO service models.
Network Service Orchestrator (NSO) Lab: Creating a Basic Service Model
This is the follow on to the NSO Fundamental Lab. In this lab, you will create a basic service model (template-based) from scratch. You will apply a simple "bottom up" method to capture a manually created service, parse its components into XML and YANG, then build and test the service model.
How AI Agents Are Transforming IT Ops
AI agents are moving from hype to the heart of enterprise IT. In this episode of the AI Proving Ground Podcast, Eric Jones and Ruben Ambrose — two leading AI experts — explore how intelligent, human-guided systems are transforming IT service management, incident response and operational scale to deliver faster resolutions, stronger security and smarter decisions across the enterprise.
Bridging the AI Value Gap: Our Insights from IBM TechXchange 2025
AI's potential is unlocked through automation, transforming insights into actionable business value. IBM TechXchange emphasized that automation is essential for operationalizing AI, bridging the gap between investment and results.
Can AI Be Trusted to Run Critical Networks?
Artificial intelligence is firmly in the heart of the world's most critical infrastructure — the massive networks that keep our digital lives running. In this episode of the AI Proving Ground Podcast, two of our top trusted advisors to the world's largest network operators — Dave Clough and Yohannes Tafesse — break down the high-stakes reality of applying AI at scale, the often-overlooked work of preparing data and building trust, and why the lessons emerging from telecom will shape how every enterprise approaches AI in mission-critical environments.