Opleidingen
55.798
resultaten
ONTAP ASA Administration [ARR_NEP_OT-ASA]
Arrow ECS - Virtual
do 18 mrt. 2027
en 3 andere data
OVERVIEW
English - Please note this course is only available in English.
Nederlands - Let op: deze training is alleen in het Engels beschikbaar.
Français - Veuillez noter que ce cours est uniquement disponible en anglais.
Explore how to administer and support NetApp® ONTAP® ASA storage systems. Reinforce your learning through hands-on exercises. The course materials include an exercise workbook that serves as an on-the-job reference guide.
OBJECTIVES
• Explore SAN architecture and configuration
• Discover iSCSI, FC, and NVMe concepts, recommendations, and guidelines
• Install NetApp Host Utilities
• Configure an IP SAN environment with iSCSI and NVMe over TCP (NVMe/TCP)
• Examine SAN availability and data protection and perform routine management tasks
AUDIENCE
Storage Administrators
CONTENT
Module 1: Introduction to ONTAP SAN configuration
Lessons
• ASA systems
• ONTAP virtual architecture
• IP SAN configurations
• FC SAN configurations
• Provisioning workflow
Exercises
Exploring ONTAP System Manager
Module 2: iSCSI configuration concepts
Lessons
• iSCSI configuration recommendations
• Introduction to iSCSI features
Exercises
Examining Linux FCP and iSCSI configurations
Module 3: FC configuration concepts
Lessons
• FC configuration recommendations
• FC zoning
• Cisco switches
• Brocade switches
Exercises
Examining the Windows FC configuration
Module 4: NVMe-oF configuration concepts
Lessons
• Introduction to NVMe
• NVMe-oF encapsulation
• NVMe integration in ONTAP software
Exercises
Configuring a host for NVMe
Module 5:SAN host integration
Lessons
• Host considerations
• Windows hosts
• Linux, UNIX, and VMware hosts
Exercises
Installing NetApp Host Utilities
Module 6:IP SAN connectivity
Lessons
• Configuring a host for IP SAN
• iSCSI configuration example
• NVMe/TCP configuration example
Exercises
Creating storage units and connecting storage to hosts
Module 7: SAN availability and data protection
Lessons
• High availability and multipathing
• Data protection in SAN environments
Exercises
Exploring day-to-day storage management tasks
€2.000
Klassikaal
max 16
ONTAP Hardware Troubleshooting – Partners Only [ARR_NEP_OT-HW-TS]
Arrow ECS - Virtual
ma 22 feb. 2027
en 3 andere data
OVERVIEW
English - Please note this course is only available in English.
Nederlands - Let op: deze training is alleen in het Engels beschikbaar.
Français - Veuillez noter que ce cours est uniquement disponible en anglais.
Discover the tools and techniques of NetApp® ONTAP® hardware analysis and troubleshooting. Learn to triage and gather the right data for all hardware cases, to work 60% to completion with no help, and to properly frame and get assistance to resolve the remaining 40%.
OBJECTIVES
• Troubleshoot system controllers, power supplies, fans, and add-in cards
• Troubleshoot storage shelf issues
• Troubleshoot disk failures
• Identify high availability issues
• Analyze RAID issues
• Identify troubleshooting tools
AUDIENCE
Support Engineer
Iimplementation Engineer
Professional Services Engineer
CONTENT
Module 1: Storage controller
Lessons
• System categories
• Storage controller components
• System memory
• Fans, PSUs, and LEDs
• SP and BMC
• Model-specific I/O expansion
• Add-on cards
• HA interconnect
Exercises
Discovering storage controller attributes
Module 2: Storage
Lessons
• Storage shelves
• Shelf components
• Shelf cables
• Disk drives and IOMs
• Shelf cabling
• Shelf protocols
• Logs
Exercises
Documenting system cabling
Module 3: Disks
Lessons
• Disk types
• Disk interfaces
• Encryption
• Disk ownership
• Common disk issues and error recovery
• Maintenance Center
Exercises
Managing a disk
Module 4: RAID
Lessons
• ONTAP RAID types
• RAID reconstruction
• Drive spares
• ADP
• RAID labels
• RAID and media scrubbing
• ASA r2
Exercises
Recovering RAID
Module 5: High availability
Lessons
• NVRAM mirroring
• Mailbox disks
• Failover and giveback
• Disk ownership
• Nonmaskable Interrupts and hardware panics
Exercises
Performing takeover and giveback
Module 6: Cluster high availability
Lessons
• Quorum and replicated databases
• Cluster high availability
• Epsilon
• Cluster switches and network connectivity
• Switch vendor support
Exercises
Investigating cluster connectivity issues
Module 7: Firmware
Lessons
• Automatic System Manager firmware updates
• Disk firmware upgrades
• IOM firmware upgrades
• SP and BMC firmware
• BIOS upgrades and issues
• Add-on PCIe card firmware upgrades
Exercises
Performing firmware validation
Module 8: AutoSupport
Lessons
• AutoSupport
• Automatically created cases
Exercises
Uploading AutoSupport messages manually
Module 9: Tools
Lessons
• Fix It
• Dexter
• Active IQ
• Hardware Universe and IMT
• Net2
Exercises
Using support tools
Using Net2
€3.000
Klassikaal
max 16
ONTAP SAN Implementation & Administration [ARR_NEP_OT-SANIA]
Arrow ECS - Virtual
ma 15 mrt. 2027
en 3 andere data
OVERVIEW
English - Please note this course is only available in English.
Nederlands - Let op: deze training is alleen in het Engels beschikbaar.
Français - Veuillez noter que ce cours est uniquement disponible en anglais.
Learn how to implement and administer NetApp ONTAP SAN solutions by examining SAN protocols and architecture.
Learn about ONTAP capabilities for iSCSI, FCP and NVMe over IP and FC fabric.
OBJECTIVES
• Define and describe SAN environments that use iSCSI, FC, FCoE, and NVMe protocols
• Explain ONTAP block protocol features and recommendations
• Examine FC switch fabric, LUN masking, and zoning
• Configure Microsoft Windows Server, Linux, and ONTAP based SAN storage systems for IP and FC connectivity
• Illustrate SAN configuration and provisioning
• Demonstrate block storage space efficiency configurations in a SAN environment
• Discover ONTAP availability strategies and data protection for LUNs and namespaces
• Examine SAN performance considerations
• Perform SAN-specific manageability configurations
AUDIENCE
• Administrators
CONTENT
Module 1: ONTAP SAN Configuration overview
Lessons
• IP SAN configuration
• FC SAN configuration
• LUN provisioning
Exercises
• Explore System Manager
• Create an SVM
Module 2: ONTAP iSCSI configuration concepts
Lessons
• iSCSI configuration recommendations
• iSCSI feature overview
• iSCSI configuration workflow
Exercises
• Create iSCSI LUNs
Module 3: ONTAP FC configuration concepts
Lessons
• FC configuration recommendations
• FC and FCoE zoning
• Cisco switches
• Brocade switches
Exercises
• Connect to a Brocade switch
• Perform discovery
• Create FC LUNs
Module 4: NVMe-oF configuration
Lessons
• NVMe
• NVMe-oF
• NVMe integration into ONTAP software
Exercises
• Create NVMe namespaces
Module 5:NetApp ONTAP SAN resource provisioning
Lessons
• Volume and LUN provisioning
• Additional ONTAP CLI considerations
Exercises
• Examine volumes and LUNs from ONTAP CLI
Module 6:Host integration
Lessons
• Host considerations
• Windows hosts
• Linux and UNIX hosts
• LUN offset
Exercises
• Install Host Utilities for Windows
• Install Host Utilities for Linux
Module 7:IP SAN connectivity
Lessons
• Windows iSCSI configuration
• Windows iSCSI implementation
• Linux iSCSI configuration
• Linux iSCSI implementation
Exercises
• Configure Windows for iSCSI SAN
• Configure NetApp ONTAP software for Windows iSCSI LUNs
• Discover iSCSI LUNs from Windows
• Configure Linux for NMVe/TCP
• Discover an NVMe namespace from Linux
Module 8:FC SAN connectivity
Lessons
• Configure a Windows host for FC
• Identify the WWNN and WWPN on a Windows host
• Implement and verify multipath FC connectivity on a Windows host
• Configure a Linux host for FC
• Identify WWPNs on a Linux host
• Implement and verify multipath FC connectivity on a Linux host
Exercises
• Configure a Brocade switch for a Windows FC environment
• Configure to an FC LUN from Windows
Module 9:SAN availability and data protection
Lessons
• High availability and host multipathing
• Data protection in SAN environments
Exercises
• Examine multipathing behavior
Module 10:Management of NetApp ONTAP SAN environments
Lessons
• LUN mobility
• Volume and LUN reconfiguration
• SAN performance recommendations
Exercises
• Move a LUN
• Resize a LUN and extend a volume
Appendix A:ONTAP SAN fundamentals
Lessons
• Implementing iSCSI, FCP, and NVMe in ONTAP software
• SAN architecture
• Interoperability Matrix tool
• SAN scalability and maximums
€2.000
Klassikaal
max 16
Red Hat Enterprise Linux Automation with Ansible (AU294) - RHLS-Course [AU294LS]
OVERVIEW
€3.740
E-Learning
Developing Advanced Automation with Red Hat Ansible Automation Platform (AU374) - RHLS-Course [AU374LS]
OVERVIEW
€3.740
E-Learning
Network Automation with Red Hat Ansible Automation Platform (AU457) - RHLS-Course [AU457LS]
OVERVIEW
Configure and manage network infrastructure using Red Hat Ansible Automation for Networking
Ansible for Network Automation (AU457) is designed for network administrators or infrastructure automation engineers who want to use network automation to centrally manage the switches, routers, and other devices in the organization's network infrastructure.
This course is based on Red Hat® Ansible Engine 2.5 and Red Hat® Ansible Tower 3.2.
Learn how to use Red Hat Ansible Automation for Networking to remotely automate configuration of network devices, test and validate the current network state, and perform compliance checks to detect and correct configuration drift.
OBJECTIVES
As a result of attending this course, you will be able to use Red Hat Ansible Automation for Networking to write Ansible playbooks and launch them to manage the routers, switches, and other devices in your network infrastructure. You will have experience with using Ansible to automate several common use cases and have a basic understanding of how to write playbooks that can target devices made by different network hardware vendors supported by Red Hat Ansible Automation.
CONTENT
Deploy Ansible
Install Ansible and create Ansible inventories.
Run commands and plays
Execute ad hoc commands and prepare Ansible playbooks.
Parameterize Ansible
Control tasks with loops and conditions.
Administer Ansible
Safeguard information with Ansible Vault and manage inventories.
Automate simple network operations
Gather network information with Ansible and configure network devices.
Automate complex operations
Solve new MACD challenges and overcome real-world challenges.
€3.740
E-Learning
Managing Enterprise Automation with Red Hat Ansible Automation Platform (AU467) [AU467]
RedHat RHLS-Code ENG
ma 30 nov. 2026
OVERVIEW
Manage complex Red Hat Ansible automation workflows at scale and prevent single points of failure.
Managing Enterprise Automation with Red Hat Ansible Automation Platform (AU467) is for experienced DevOps engineers or Linux system administrators who want to centralize and control their automation execution at scale and privately share Ansible content across their organizations.
Deploy efficient and reliable management of your Ansible automation infrastructure to streamline IT automation of systems in your enterprise, increasing your cost savings and operational efficiency.
As a result of taking this course, you will learn how to install and manage automation controller, private automation hub, and automation mesh components of Red Hat Ansible Automation Platform 2 in order to deploy and operate Ansible automation services for your organization that you can extend to a larger scale.
This course is based on Red Hat Ansible Automation Platform 2.5.
Note : Starting January 1, 2026, Red Hat introduces RHLS-Course — a flexible subscription model now included with this catalog offering. This replaces the previous direct virtual class enrollment from Global Knowledge.
When you purchase this item, you’ll receive an RHLS subscription at the course level, giving you the freedom to choose the schedule that works best and self-enroll in your selected class.
Your RHLS subscription includes:
• One live, instructor-led virtual session
• 12 months of self-paced learning access
• One certification exam with a free retake
Onsite Classroom-based sessions and closed course options remain unchanged.
Updated Jan2026
OBJECTIVES
After this course participants should be able to:
Discuss of the architecture of Red Hat Ansible Automation Platform 2.
Install and configure automation controllers and private automation hubs to centrally coordinate and scale Red Hat Ansible Automation Platform.
Integrate Red Hat Ansible Automation Platform with centralized Git repository.
Handle management of users, teams, and access permissions in Red Hat Ansible Automation Platform services.
Create and manage workflows that execute automation based on the success or failure of previous jobs.
Configure and manage automation mesh to distribute execution between automation controller and remote execution nodes.
Perform troubleshooting and maintenance of Red Hat Ansible Automation Platform services.
Discuss recommended practices to ensure high availability and scalability of a large automation cluster.
AUDIENCE
This course is designed for users who need to provide, manage, and maintain Ansible automation infrastructure for their organizations, including these roles:
Ansible automation engineers and architects
Linux system administrators supporting automation operations
DevOps engineers
CERTIFICATION
Red Hat Certified Specialist Managing Automation Ansible Automation Platform Exam (EX467)
NEXT STEP
Red Hat Services Management and Automation (RH358)
Microsoft Windows Automation with Red Hat Ansible (DO417 - AU417)
Ansible for Network Automation (DO457 - AU457)
CONTENT
Installing Red Hat Ansible Automation Platform
Explain what Red Hat Ansible Automation Platform is and explore installation strategies.
Managing user access
Create user accounts, organize users into teams, and assign roles to administer and access Ansible Automation Platform resources.
Managing inventories and machine credentials
Create inventories of machines to manage, and configure credentials necessary for automation controller's execution nodes to log in and run Ansible jobs on those systems.
Managing projects and launch Ansible jobs
Create projects and job templates in the Ansible Automation Platform unified UI, and use them to launch Ansible Playbooks that are stored in Git repositories, in order to automate tasks on managed hosts.
Configuring advanced job configuration
Configure advanced job template features to more effectively and efficiently implement jobs.
Constructing job workflows
Assemble existing job templates into a sequential, branching workflow that can launch multiple jobs, run jobs to recover from a preceding failure in the workflow, and request user approval before the workflow can be advanced past a certain point.
Managing advanced inventories
Manage inventories that are dynamically generated from external data sources by using plug-ins, or are constructed from a filtered set of hosts in existing inventories.
Automating configuration of Ansible Automation Platform
Automate the configuration and deployment of Red Hat Ansible Automation Platform services by using Ansible Content Collections, the automation controller API, and Git webhooks.
Maintaining Red Hat Ansible Automation Platform
Perform routine maintenance and administration of Red Hat Ansible Automation Platform.
Building a large scale Red Hat Ansible Automation Platform deployment
Scale up your Red Hat Ansible Automation Platform deployment by using automation mesh and dispersed execution nodes.
Comprehensive review
Demonstrate skills learned in this course by configuring private automation hub and by configuring and operating a new organization in automation controller using a provided specification, Ansible projects, and hosts to be provisioned and managed.
€3.740
Klassikaal
max 16
Managing Enterprise Automation with Red Hat Ansible Automation Platform (AU467) - RHLS-Course [AU467LS]
OVERVIEW
Manage complex Red Hat Ansible automation workflows at scale and prevent single points of failure.
Managing Enterprise Automation with Red Hat Ansible Automation Platform (AU467) is for experienced DevOps engineers or Linux system administrators who want to centralize and control their automation execution at scale and privately share Ansible content across their organizations.
This course is based on Red Hat Ansible Automation Platform 2.5.
OBJECTIVES
Discussion of the architecture of Red Hat Ansible Automation Platform 2.
Installation and configuration of automation controllers and private automation hubs to centrally coordinate and scale Red Hat Ansible Automation Platform.
Integration of Red Hat Ansible Automation Platform with centralized Git repository.
Management of users, teams, and access permissions in Red Hat Ansible Automation Platform services.
Creation and management of workflows that execute automation based on the success or failure of previous jobs.
Configuration and management of automation mesh to distribute execution between automation controller and remote execution nodes.
Troubleshooting and maintenance of Red Hat Ansible Automation Platform services.
Discussion of recommended practices to ensure high availability and scalability of a large automation cluster.
CONTENT
Installing Red Hat Ansible Automation Platform
Explain what Red Hat Ansible Automation Platform is and explore installation strategies.
Managing user access
Create user accounts, organize users into teams, and assign roles to administer and access Ansible Automation Platform resources.
Managing inventories and machine credentials
Create inventories of machines to manage, and configure credentials necessary for automation controller's execution nodes to log in and run Ansible jobs on those systems.
Managing projects and launch Ansible jobs
Create projects and job templates in the Ansible Automation Platform unified UI, and use them to launch Ansible Playbooks that are stored in Git repositories, in order to automate tasks on managed hosts.
Configuring advanced job configuration
Configure advanced job template features to more effectively and efficiently implement jobs.
Constructing job workflows
Assemble existing job templates into a sequential, branching workflow that can launch multiple jobs, run jobs to recover from a preceding failure in the workflow, and request user approval before the workflow can be advanced past a certain point.
Managing advanced inventories
Manage inventories that are dynamically generated from external data sources by using plug-ins, or are constructed from a filtered set of hosts in existing inventories.
Automating configuration of Ansible Automation Platform
Automate the configuration and deployment of Red Hat Ansible Automation Platform services by using Ansible Content Collections, the automation controller API, and Git webhooks.
Maintaining Red Hat Ansible Automation Platform
Perform routine maintenance and administration of Red Hat Ansible Automation Platform.
Building a large scale Red Hat Ansible Automation Platform deployment
Scale up your Red Hat Ansible Automation Platform deployment by using automation mesh and dispersed execution nodes.
Comprehensive review
Demonstrate skills learned in this course by configuring private automation hub and by configuring and operating a new organization in automation controller using a provided specification, Ansible projects, and hosts to be provisioned and managed.
€3.740
E-Learning
Designing, Deploying and Managing Network Automation Systems [AUTOCOR]
VIRTUAL TRAINING CENTER
ma 7 dec. 2026
en 9 andere data
OVERVIEW
Be prepared for a professional role as a network automation engineer. The Designing, Deploying and Managing Network Automation Systems (AUTOCOR) course focuses on designing and implementing automation systems, from writing Python scripts and Ansible playbooks, and applying Terraform for network automation, to building complex CI/CD pipelines with multiple tools.
The Designing, Deploying and Managing Network Automation Systems (AUTOCOR) course prepares you for a professional role as a network automation engineer. It focuses on designing and implementing automation systems, from writing Python scripts and Ansible playbooks, and applying Terraform for network automation, to building complex CI/CD pipelines that integrate multiple tools. The training also shows how to leverage AI for network automation by building Large Language Model (LLM)-powered network agents and by using MCP servers. Additionally, the training focuses on operational aspects of managing a modern, automated network and explores secure coding practices, collecting logs, containerization, and model-driven telemetry. Overall, the training focuses on practical implementation that directly prepares you to design, deploy, and operate automated networks.
This training also prepares you for the 350-901 AUTOCOR exam. If passed, you earn the Cisco Certified Specialist - Automation Core certification and satisfy the core exam requirement for the Cisco Certified Network Professional (CCNP) Automation and Cisco Certified Internetwork Expert (CCIE) Automation certifications.
This training also earns you 32 Continuing Education (CE) credits toward recertification.
OBJECTIVES
Key outcomes:
Evaluate various network automation tools and approaches
Use Python for CLI-based network automation
Integrate REST APIs in network automation workflows
Automate device configuration using RESTCONF requests based on YANG data models
Create network automation solutions with Ansible
Create network automation solutions with Terraform
Implement the Infrastructure as Code approach for network management
Use Git to track network changes
Design and build GitLab CI pipelines for network automation
Integrate CML topologies in automated workflows
Create network validation tools with pyATS and include them in automated workflows
Configure model-driven telemetry streams to collect real-time operational data from Cisco devices
Diagnose common automation failures using well-structured logs from Python, Ansible, and RESTCONF integrations
Harden network automation code by validating inputs, protecting credentials, and sanitizing outputs
Build and run multi-service Docker Compose environments for network automation
Generate, sign, and install certificates to secure web interfaces and APIs used by network automation tools
Describe the role, value, and risks of generative AI in network automation script creation
Create AI agents for network automation
Integrate LLMs with external capabilities using MCP servers
AUDIENCE
- Individuals seeking the CCNP Automation certification
- Network Automation Engineers
- Network Engineers with coding experience
- DevOps Engineers working with network infrastructure
- System Engineers
- Network Site Reliability Engineers (SREs)
CERTIFICATION
The CCNP Automation certification confirms a candidate's knowledge of network automation systems development and design including infrastructure as code, operations, and AI in automation. Technologies included are Cisco IOS XE, Cisco ACI, Cisco Meraki, Cisco Catalyst Center, Cisco SD-WAN, Cisco Identity Services Engine and Webex Messaging.
Certification Title: CCNP Automation
NEXT STEP
ENAUTO - Automating and Programming Cisco Enterprise Solutions
DCNAUTO - Automating Cisco Data Center Networking Solutions
CONTENT
Outline:
Network Automation Toolkits
Network Task Automation with Python
REST APIs in Network Automation
Network Automation with Ansible
Network Automation with Terraform
Infrastructure as Code Implementation
Network Change Tracking with Git
Configuration Change Deployment with CI Pipelines
Cisco Modeling Labs Integration for Test Network Environments
Network State Validation with pyATS
Model-Driven Telemetry for Network Monitoring
Network Automation Solution Troubleshooting
Secure Coding Practices for Network Automation
Network Automation Environment Containerization with Docker Compose
Trusted TLS Certificates Deployment for Secure Communication
Generative AI for Network Automation
AI Agents for Network Automation
LLM and MCP Server Integration
LABS:
Use Python to Automate Common Network Tasks
Explore REST API Documentation
Automate API Calls with Python Requests
Construct and Send RESTCONF Requests
Automate the Device Configuration with RESTCONF
Create a Network Automation Solution with Ansible
Automate Network Infrastructure with Terraform
Manage Router Interfaces as Code
Start Tracking Your Network State with GitLab
Build a GitLab CI Pipeline for Network Configuration
Create a Testing Network Environment with Cisco Modeling Labs
Build a Python Script to Launch Test Topologies in Cisco Modeling Labs
Integrate Cisco Modeling Labs Topologies into CI Pipeline
Create a Configuration Validation Tool with pyATS
Integrate pyATS Testing into Automated Pipelines
Set Up MDT on a Cisco Router Using YANG Suite
Troubleshoot an Automation Script
Harden an Automation Script
Containerize Automation Components
Set Up Local LLM with Ollama
Build a Network Automation Tool with Python and Ollama
Build and Launch a FastMCP Server
€4.095
Klassikaal
max 16
Designing, Deploying and Managing Network Automation Systems [AUTOCOR-CPLL]
OVERVIEW
Be prepared for a professional role as a network automation engineer. The Designing, Deploying and Managing Network Automation Systems (AUTOCOR) course focuses on designing and implementing automation systems, from writing Python scripts and Ansible playbooks, and applying Terraform for network automation, to building complex CI/CD pipelines with multiple tools.
The Designing, Deploying and Managing Network Automation Systems (AUTOCOR) course prepares you for a professional role as a network automation engineer. It focuses on designing and implementing automation systems, from writing Python scripts and Ansible playbooks, and applying Terraform for network automation, to building complex CI/CD pipelines that integrate multiple tools. The training also shows how to leverage AI for network automation by building Large Language Model (LLM)-powered network agents and by using MCP servers. Additionally, the training focuses on operational aspects of managing a modern, automated network and explores secure coding practices, collecting logs, containerization, and model-driven telemetry. Overall, the training focuses on practical implementation that directly prepares you to design, deploy, and operate automated networks.
This training also prepares you for the 350-901 AUTOCOR exam. If passed, you earn the Cisco Certified Specialist - Automation Core certification and satisfy the core exam requirement for the Cisco Certified Network Professional (CCNP) Automation and Cisco Certified Internetwork Expert (CCIE) Automation certifications.
This course is approx 32 hours in duration and will earn you 32 Continuing Education (CE) credits toward recertification.
OBJECTIVES
Key outcomes:
Evaluate various network automation tools and approaches
Use Python for CLI-based network automation
Integrate REST APIs in network automation workflows
Automate device configuration using RESTCONF requests based on YANG data models
Create network automation solutions with Ansible
Create network automation solutions with Terraform
Implement the Infrastructure as Code approach for network management
Use Git to track network changes
Design and build GitLab CI pipelines for network automation
Integrate CML topologies in automated workflows
Create network validation tools with pyATS and include them in automated workflows
Configure model-driven telemetry streams to collect real-time operational data from Cisco devices
Diagnose common automation failures using well-structured logs from Python, Ansible, and RESTCONF integrations
Harden network automation code by validating inputs, protecting credentials, and sanitizing outputs
Build and run multi-service Docker Compose environments for network automation
Generate, sign, and install certificates to secure web interfaces and APIs used by network automation tools
Describe the role, value, and risks of generative AI in network automation script creation
Create AI agents for network automation
Integrate LLMs with external capabilities using MCP servers
CONTENT
Outline:
Network Automation Toolkits
Network Task Automation with Python
REST APIs in Network Automation
Network Automation with Ansible
Network Automation with Terraform
Infrastructure as Code Implementation
Network Change Tracking with Git
Configuration Change Deployment with CI Pipelines
Cisco Modeling Labs Integration for Test Network Environments
Network State Validation with pyATS
Model-Driven Telemetry for Network Monitoring
Network Automation Solution Troubleshooting
Secure Coding Practices for Network Automation
Network Automation Environment Containerization with Docker Compose
Trusted TLS Certificates Deployment for Secure Communication
Generative AI for Network Automation
AI Agents for Network Automation
LLM and MCP Server Integration
LABS:
Use Python to Automate Common Network Tasks
Explore REST API Documentation
Automate API Calls with Python Requests
Construct and Send RESTCONF Requests
Automate the Device Configuration with RESTCONF
Create a Network Automation Solution with Ansible
Automate Network Infrastructure with Terraform
Manage Router Interfaces as Code
Start Tracking Your Network State with GitLab
Build a GitLab CI Pipeline for Network Configuration
Create a Testing Network Environment with Cisco Modeling Labs
Build a Python Script to Launch Test Topologies in Cisco Modeling Labs
Integrate Cisco Modeling Labs Topologies into CI Pipeline
Create a Configuration Validation Tool with pyATS
Integrate pyATS Testing into Automated Pipelines
Set Up MDT on a Cisco Router Using YANG Suite
Troubleshoot an Automation Script
Harden an Automation Script
Containerize Automation Components
Set Up Local LLM with Ollama
Build a Network Automation Tool with Python and Ollama
Build and Launch a FastMCP Server
€783
E-Learning