NSO Advanced for Python Programmers (NSO300) v4.0 Course
- Duration: 40 Hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The NSO Advanced for Python Programmers Course delivers in-depth training for professionals who already understand NSO fundamentals and want to extend their expertise using Python. Participants gain a structured understanding of how Python is used within NSO to create advanced service logic, automate complex workflows, and manage service lifecycles at scale. The course emphasizes real-world automation patterns, transaction safety, and operational robustness. Hands-on labs reinforce advanced tasks such as developing Python-based service callbacks, integrating YANG models, handling exceptions, and optimizing NSO solutions for performance and scalability.
Course Details
- Build advanced expertise in network automation using Cisco NSO and Python.
- Learn how to develop Python-based NSO services and service logic.
- Understand advanced service lifecycle management and transaction handling.
- Gain hands-on experience integrating YANG models with Python code.
- Improve scalability, reliability, and maintainability of automated services.
- Establish a strong foundation for expert-level network automation and orchestration roles.
- Ideal for Python programmers, automation engineers, and network architects.
- Recommended to have prior experience with Cisco NSO fundamentals.
- Strong Python programming knowledge is required.
- Familiarity with YANG models and NETCONF concepts is beneficial.
- Develop advanced Python-based services within Cisco NSO.
- Integrate YANG models and Python logic for service orchestration.
- Manage service lifecycles, transactions, and rollbacks programmatically.
- Implement error handling and validation for robust automation solutions.
- Optimize NSO services for scalability and operational efficiency.
- Support complex, multi-vendor network automation deployments using NSO.
- Advanced Cisco NSO Architecture: Deep dive into NSO internals and workflows.
- Python Service Development: Service callbacks, actions, and custom logic.
- YANG Model Integration: Advanced modeling and service design patterns.
- Service Lifecycle Management: Create, modify, scale, and retire services.
- Transaction Management: Consistency, rollbacks, and error handling.
- Scalability and Performance: Optimizing NSO services for large deployments.
- Testing and Troubleshooting: Debugging Python-based NSO services.
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