Labs & Learning

This Learning Path is designed to Discover and Experience Cisco (Viptela) SD-WAN. The lab environment that supports this Learning Path is virtual and dedicated to each individual consumer.

Learn the basics about network security and how next-generation firewalls (NGFW) fits in and establish a baseline knowledge to help aid you through the Next-Generation Firewall learning paths. Throughout this learning path you will learn network security, tools and techniques used to help secure your network, and how the NGFW fits into your security requirements. You will have the opportunity to explore these concepts that will help you walk the NGFW learning path with ease and comfort to aid you on your successful journey of learning NGFW! Now let's get started!

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.

This learning path provides a comprehensive introduction to Cisco Catalyst Center, guiding network professionals through the platform's core features and advanced capabilities. Learners will start by understanding the hierarchical design model and how it supports scalable management and policy deployment. The course covers device discovery, inventory management, and provisioning workflows, enabling consistent network configuration and automation. It also addresses software image upgrades, lifecycle management, including End-of-Life (EoX) insights, and essential system administration tasks. A significant portion is dedicated to Software-Defined Access (SDA) fabric design, including control and border nodes, as well as implementing secure, policy-driven segmentation through micro-segmentation using Security Group Tags (SGTs). By the end, participants will be equipped to deploy, operate, and optimize Cisco Catalyst Center in modern enterprise environments.

Dive into the fascinating world of AI Agents in this comprehensive learning path that transforms beginners into creators. You'll explore what agents truly are and discover the inner workings that make them tick, from decision-making algorithms to execution frameworks. The journey continues with an in-depth look at the tools agents leverage and tasks they excel at, preparing you for the hands-on lab where you'll build your very own agent from scratch. By the end, you'll have both theoretical knowledge and practical experience in creating these powerful digital assistants that are revolutionizing how we interact with technology and solve complex problems.

Generative AI is a cutting-edge technology that has been making waves across various industries in recent years. Unlike traditional AI systems that are designed to analyze and interpret existing data, generative AI has the remarkable ability to create entirely new content, from text and images to music and even code. This revolutionary technology leverages complex machine learning algorithms and neural networks to understand patterns and structures in vast amounts of data, enabling it to generate original and often highly realistic outputs. As generative AI continues to evolve and improve, it promises to transform creative processes, problem-solving, and innovation across numerous fields, from art and entertainment to scientific research and product development. Learn about what Generative AI is and how it works, in this Learning Path.

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.

This learning path introduces AI users to key concepts and practices for crafting effective prompts that maximize the value of AI tools. It begins by providing essential background knowledge to explain why prompt engineering is critical for generating high-quality responses. It will then culminate with the introduction of the Prompt Blueprint—a practical framework to help users design effective prompts.