Automating Networks Using Cisco Platforms v1.1

The Automating Networks Using Cisco Platforms (CCNAAUTO) Learning Path teaches you how to implement basic network applications using Cisco platforms as a base, and how to implement automation workflows across network, security, collaboration, and computing infrastructure.

The Learning Path gives you hands-on experience solving real-world problems using Cisco Application Programming Interfaces (APIs) and modern development tools. 

This Learning Path prepares you for the 200-901 CCNAAUTO v1.1 exam. If passed, you earn the Cisco Certified Network Associate (CCNA) Automation certification.

Skills You'll Learn

• Implement basic network applications using Cisco platforms 
• Develop automation workflows across network, security, collaboration, and computing infrastructure 
• Understand the importance of APIs and use version control tools in modern software development 
• Apply model-driven programmability to automate common tasks with Python scripts 
• Recognize common security concerns, types of tests, and utilize containerization for local development

1. Software Development and Design: Learn modern software design and development techniques for networking, including APIs, data encoding formats, Git, and common design patterns and architectures. 
2. Using APIs: Discover APIs with a focus on secure requests and processing responses using the Postman testing tool through hands-on labs. Learn to leverage APIs to integrate Cisco products across collaboration, security, data center, and enterprise solutions. 
3. Network Fundamentals: Develop foundational networking knowledge focusing on network topologies, components, diagrams, and the OSI model. Engage in hands-on labs to interpret network diagrams and enhance troubleshooting skills. 
4. Infrastructure Automation: Discover how APIs and model-driven programmability streamline Cisco device management and automation using Infrastructure as Code with Ansible. 
5. Application Deployment and Security: Focus on effective deployment methodologies, including containerized deployment, DevOps best practices, and hands-on labs with Docker, CI/CD, software testing, and application security.