
Cisco CCNA 200-301 Final Part , Automation and AI part.
Course Description
This section introduces students to the automation, programmability, and intelligence layer of modern networking, a critical part of the CCNA 200-301 exam and real-world network operations. Up to this point, networking has focused heavily on manual configuration and device-by-device management. In this section, students learn how networks are evolving toward software-driven, automated, and API-controlled environments.
Students begin by understanding the why behind network automation—how growing network size, complexity, and business demands make manual configuration inefficient and error-prone. The section then explains key programmability concepts, including controller-based networking and how devices expose functionality through APIs instead of only CLI commands.
Next, students explore REST-based APIs, learning how network devices and controllers communicate using HTTP verbs, authentication methods, and data formats such as JSON. These concepts are broken down in a practical, exam-focused way so students can recognize how automation works without needing to be programmers.
The section also introduces configuration management and Infrastructure as Code, highlighting tools like Ansible and Terraform. Students learn how these tools help standardize configurations, enforce consistency, and safely scale changes across large networks.
Finally, the section concludes by explaining the role of AI and machine learning in network operations, including predictive analytics, automated troubleshooting, and intelligent decision-making. By the end of this section, students will have a clear understanding of how modern networks are built, managed, and optimized beyond the command line.
Who this course is for:
- CCNA Candidates
