Opleidingen
55.799
resultaten
Cisco Splunk for AI Operations [CAIOP-CPLL]
OVERVIEW
The Cisco Splunk for AI Operations (CAIOP) Learning Path explores the foundational concepts, business drivers, and architectural vision of Artificial Intelligence for IT Operations (AIOps) and demonstrates how AIOps' core principles transform reactive IT into a proactive, intelligent, and strategic function. These principles, powered by machine learning and advanced data analytics and supported by Splunk's robust data platform and AI capabilities, drive business value, enhanced security, and resilience in complex, modern environments.
This course is just under 8 hours in duration and is worth 6 Continuing Education Credits.
OBJECTIVES
After completing this course you should be able to:
Understand AIOps fundamentals, business drivers, and architectural vision
Identify how AIOps, AI, and machine learning address challenges in modern IT operations
Use Splunk to ingest, process, and visualize machine data for actionable insights
Apply machine learning techniques for event correlation, anomaly detection, and automation
Design, implement, and scale AIOps solutions to drive efficiency, security, and business value
CONTENT
Cisco Splunk for AI Operations
AIOps Fundamentals
Splunk Essentials
Data Engineering for AIOps
Machine Learning with AIOps
Building Machine Learning Models
Operationalizing AIOps
Scaling and Integrating AIOps
AIOps Adoption and Future Trends
€261
E-Learning
Cisco Catalyst Center Foundations [CCFND-CPLL]
OVERVIEW
The Cisco Catalyst Center Foundations (CCFND) training is designed to expand your knowledge of Cisco Catalyst Center, including its basics, deployment and scalability options, initial configurations, best practices, and integration with Cisco Identity Services Engine (ISE). The training will focus on network automation, network assurance, network security, and network programmability using Cisco Catalyst Center.
Though this training is not related to a specific exam, it is highly encouraged to take this training as an introduction to topics found in the Implementing and Operating Cisco Enterprise Network Core Technologies (350-401 ENCOR) exam.
This course is worth 44 Continuing Education (CE) Credits towards recertification
OBJECTIVES
After completing this course you should be able to:
Learn about Cisco Catalyst Center product, intent-based networking, system architecture, and key features and use cases of Cisco Catalyst Center
Use Cisco Catalyst Center automation (NetOps and SecOps), assurance (AIOps), and platform integration with DevOps in your enterprise network
Deploy Cisco Catalyst Center based on pre-deployment requirements, and perform first-time setup procedures
Describe high availability and scalability options for Cisco Catalyst Center, including clustering, link redundancy, and disaster recovery
Explain Cisco Catalyst Center system settings, basic and advanced automation, device provisioning, and compliance audit procedures
Configure Cisco Catalyst Center to onboard devices, integrate with ISE, automate device configurations, troubleshoot health of network devices, and track clients
Describe Cisco SD-Access architecture, including fabric networking, underlay and overlay routing, and fabric node roles, and implement policy-based segmentation with group-based, IP-based, and application policies
CONTENT
Cisco Catalyst Center Overview
Intent-Based Networking
System Architecture
Key Features and Use Cases
Automation and NetOps
Automation and SecOps
Assurance and AIOps
Platform and DevOps
Licensing and Device Support
Cisco Catalyst Center Deployment
Deployment Options
Pre-Deployment Requirements
Maglev Installation
First-Time Setup
Application Installation
Cisco Catalyst Center High Availability and Scalability
Scalability
High Availabiliy Options
Three Node Cluster Considerations
Link Redundancy
Clustering
Disaster Recovery
Cisco Catalyst Center System Settings and Operations
Basic Configuration
System and Application Update
Backup and Restore
Cisco ISE Integration
User Management
Cisco Catalyst Center Inventory, Discovery, and Device Manageability
Network Hierarchy
Device Inventory
Network Discovery
Device Controllability
Cisco Catalyst Center Basic Automation and Provisioning
Basic Network Settings Automation
Device Provisioning
Configuration Monitoring and Compliance Audit
Software Image Management
Cisco Catalyst Center Advanced Automation and Day-0 Onboarding
Network Profiles
Wireless Design Model Configuration
Configuration Templates
Device Onboarding Using Plug-and-Play
Cisco Prime Infrastructure to Cisco Catalyst Center Migration
Cisco Prime Infrastructure to Cisco Catalyst Center Migration Options
Migration Process and Tools
Migration Assessment and Reporting Using Cisco PDART
Data Migration Using Prime Data Migration Tool
Cisco Prime Infrastructure and Cisco Catalyst Center Coexistence
Cisco Catalyst Center Health and Performance Monitoring
Cisco Catalyst Center Assurance Functional Components
Cisco Catalyst Center Assurance Data Collection
Cisco Catalyst Center Assurance Data Analytics and Metrics
Cisco Catalyst Center Assurance Health Scores
Cisco Catalyst Center Assurance Dashbard Time Ranges Concepts
Cisco Catalyst Center Assurance Device, Client, and Application Health
Network Device Health
Device 360 View
Client Health and Client 360 View
Application Health and Application 360 View
Reports in Cisco Catalyst Center
Cisco Catalyst Center Issues, Insights, and Trends Monitoring
Cisco AI Analytics
Cisco AI Network Analytics - Anomaly Detection and Resolution
Issues Operations
AI-Driven Issues Resolution
Trends, Insights, and Comparative Analysis
Capacity, Security and Wi-Fi 6 Readiness Insights
Cisco Catalyst Center Wireless Networks Monitoring and Troubleshooting
Assurance Tools for Troubleshooting Wireless Networks
Assurance-Correlated Insights for Wireless Networks
Intelligent Capture for Troubleshooting Wireless Networks
Intelligent Capture to Troubleshoot Clients
Intelligent Capture to Collect AP-Based Statistics
Cisco SD-Access Overview
Cisco SD-Access Introduction
Cisco SD-Access Fabric Networking
Cisco SD-Access Fabric Nodes
Wireless SD-Access Overview
Cisco Catalyst Center Policies
Cisco Catalyst Center Policies
Group-Based Access Control Policies
IP-Based Policies
Application Policies
Cisco Catalyst Center Endpoint Visibility
Endpoint Visibilty Overview
Group-Based Policy Analytics
AI Endpoint Analytics
Cisco Catalyst Center Platform Overview
Cisco Catalyst Center Platfrom Overview
Intent-Based APIs
Cisco Catalyst Center SDKs and other Tools
Cisco Catalyst Center Notification and Events
Cisco Catalyst Center Event Webhooks
Cisco Catalyst Center and Third-Party Integrations
Cisco Catalyst Center Network and Assurance Automation
Cisco Catalyst Center Network Automation Flow
Cisco Catalyst Center Network Assurance Workflow
Labs
Discovery Lab 1: Integrate Cisco ISE and Cisco Catalyst Center
Discovery Lab 2: Add Network Devices to Cisco Catalyst Center
Discovery Lab 3: Automate Basic Device Configuration Using Cisco Catalyst Center
Discovery Lab 4: Upgrade Network Device using Cisco Catalyst Center
Discovery Lab 5: Automate Network Device Configuration Using a Template
Discovery Lab 6: Onboard a Device Using PnP
Discovery Lab 7: Troubleshoot the Health of Network Devices
Discovery Lab 8: Monitor the Health of Clients and Applications
Discovery Lab 9: Observe Assurance AI Network Analytics
Discovery Lab 10: Monitor Wireless Networks with Advanced Assurance Tools
Discovery Lab 11: Explore Cisco SD-Access Networks
Discovery Lab 12: Deploy SD-Access Group-Based Access Control Policy
Discovery Lab 13: Examine Cisco Catalyst Center APIs
Discovery Lab 14: Examine Cisco Catalyst Center Webhooks
Discovery Lab 15: Deploy IaaC Using Cisco Catalyst Center and Terraform
Discovery Lab 16: Automate Cisco Catalyst Center Assurance Using Ansible
€783
E-Learning
Automating Networks Using Cisco Platforms [CCNAAUTO]
VIRTUAL TRAINING CENTER
ma 7 dec. 2026
en 9 andere data
OVERVIEW
Discover how to implement network applications and automation workflows across network, security, collaboration, and computing infrastructure.
The Automating Networks Using Cisco Platforms (CCNAAUTO) training 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 training gives you hands-on experience solving real-world problems using Cisco Application Programming Interfaces (APIs) and modern development tools.
This course also prepares you for the 200-901 CCNAAUTO v1.1 exam. If passed, you earn the Cisco Certified Network Associate (CCNA) Automation certification.
This training also earns you 48 Continuing Education (CE) credits toward recertification.
OBJECTIVES
After taking this course, you should be able to:
Describe the importance of APIs and use of version control tools in modern software development
Describe common processes and practices used in software development
Describe options for organizing and constructing modular software
Describe HTTP concepts and how they apply to network-based APIs
Apply Representational State Transfer (REST) concepts to integration with HTTP-based APIs
Describe Cisco platforms and their capabilities
Describe programmability features of different Cisco platforms
Describe basic networking concepts and interpret simple network topology
Describe interaction of applications with the network and tools used for troubleshooting issues
Apply concepts of model-driven programmability to automate common tasks with Python scripts
Identify common application deployment models and components in the development pipeline
Utilize tools to automate infrastructure through scripting and model-driven programmability
Describe common security concerns and types of tests, and utilize containerization for local development
AUDIENCE
- Network Automation Engineers
- Software Developers
- System Integration Programmers
- Infrastructure Architects
- Network Designers
CERTIFICATION
The CCNA Automation certification validates your knowledge of software development and design, including APIs, Cisco platforms, applications, security, automation, and more.
Certification Title: CCNA Automation
NEXT STEP
AUTOCOR - Designing, Deploying and Managing Network Automation Systems
CONTENT
Course Outline:
Practicing Modern Software Development
Describing Software Development Process
Designing Software
Introducing Network-Based APIs
Consuming REST-Based APIs
Introducing Cisco Platforms and APIs
Employing Programmability on Cisco Platforms
Describing IP Networks
Relating Network and Applications
Employing Model-Driven Programmability
Deploying Applications
Automating Infrastructure
Testing and Securing Applications
Lab Code Reference
LABS:
Parse API Data Formats with Python
Use Git for Version Control
Identify Software Architecture and Design Patterns on a Diagram
Implement Singleton Pattern and Abstraction-Based Method
Inspect HTTP Messages
Use Postman
Troubleshoot an HTTP Error Response
Utilize APIs with Python
Use the Cisco Webex Collaboration API
Interpret a Basic Network Topology Diagram
Identify the Cause of Application Connectivity Issues
Perform Basic NETCONF Operations
Utilize Bash Commands for Local Development
Construct Infrastructure Automation Workflow
Construct a Python Unit Test
Interpret a Dockerfile
Utilize Docker Commands to Manage Local Developer Environment
Exploit Insufficient Parameter Sanitization
€4.095
Klassikaal
max 16
Automating Networks Using Cisco Platforms [CCNAAUTO-CPLL]
OVERVIEW
Discover how to implement network applications and automation workflows across network, security, collaboration, and computing infrastructure.
The Automating Networks Using Cisco Platforms (CCNAAUTO) course 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 training gives you hands-on experience solving real-world problems using Cisco Application Programming Interfaces (APIs) and modern development tools.
This course also prepares you for the 200-901 CCNAAUTO v1.1 exam. If passed, you earn the Cisco Certified Network Associate (CCNA) Automation certification.
This training also earns you 48 Continuing Education (CE) credits toward recertification.
OBJECTIVES
After taking this course, you should be able to:
Describe the importance of APIs and use of version control tools in modern software development
Describe common processes and practices used in software development
Describe options for organizing and constructing modular software
Describe HTTP concepts and how they apply to network-based APIs
Apply Representational State Transfer (REST) concepts to integration with HTTP-based APIs
Describe Cisco platforms and their capabilities
Describe programmability features of different Cisco platforms
Describe basic networking concepts and interpret simple network topology
Describe interaction of applications with the network and tools used for troubleshooting issues
Apply concepts of model-driven programmability to automate common tasks with Python scripts
Identify common application deployment models and components in the development pipeline
Utilize tools to automate infrastructure through scripting and model-driven programmability
Describe common security concerns and types of tests, and utilize containerization for local development
CONTENT
Course Outline:
Practicing Modern Software Development
Describing Software Development Process
Designing Software
Introducing Network-Based APIs
Consuming REST-Based APIs
Introducing Cisco Platforms and APIs
Employing Programmability on Cisco Platforms
Describing IP Networks
Relating Network and Applications
Employing Model-Driven Programmability
Deploying Applications
Automating Infrastructure
Testing and Securing Applications
Lab Code Reference
Labs:
Parse API Data Formats with Python
Use Git for Version Control
Identify Software Architecture and Design Patterns on a Diagram
Implement Singleton Pattern and Abstraction-Based Method
Inspect HTTP Messages
Use Postman
Troubleshoot an HTTP Error Response
Utilize APIs with Python
Use the Cisco Webex Collaboration API
Interpret a Basic Network Topology Diagram
Identify the Cause of Application Connectivity Issues
Perform Basic NETCONF Operations
Utilize Bash Commands for Local Development
Construct Infrastructure Automation Workflow
Construct a Python Unit Test
Interpret a Dockerfile
Utilize Docker Commands to Manage Local Developer Environment
Exploit Insufficient Parameter Sanitization
€783
E-Learning
Red Hat OpenStack Administration I: Core Operations for Domain Operators (CL110) - RHLS-Course [CL110LS]
OVERVIEW
Learn how to install configure, use, and maintain Red Hat OpenStack Platform
Red Hat OpenStack Administration I (CL110) is designed for system administrators who are intending to implement a cloud computing environment using Red Hat OpenStack® Platform.
This course is based on Red Hat Enterprise Linux OpenStack Platform 8.
This course will teach students to install a proof-of-concept, configure, use, and maintain Red Hat OpenStack Platform. This course covers the core services: identity (Keystone), block storage (Cinder), image (Glance), networking (Neutron), compute and controller (Nova), and dashboard (Horizon).
This course is designed for Linux system administrators, cloud administrators, and cloud operators interested in, or responsible for, maintaining a private or hybrid cloud.
OBJECTIVES
As a result of attending this course, you will understand the architecture of a private or hybrid OpenStack cloud infrastructure and will be able to create, manage, and troubleshoot software-defined network services, resources, servers, and applications for dynamically scalable business environments.
You should also be able to demonstrate these skills:
Design and implement on-demand projects, software-defined networks, and virtual machine instances.
Deploy a proof-of-concept OpenStack installation for practice, development, demonstration, and testing, back in your own home or business computing environment.
Manage software-defined networks such as subnets, routers, floating IP addresses, images, flavors, security groups/rules, and block and object storage.
Create and customize advanced VM instances as applications, customize on deploy, and create scalable stacks of multiple VM applications.
CONTENT
Course introduction
Introduce and review the course.
Launch an instance
Launch an instance and describe the terminology and services used in OpenStack.
Manage projects and users
Manage projects and users using Horizon.
Manage project quotas
Manage project quotas using Horizon.
Manage flavors
Manage flavors using Horizon.
Manage images
Manage images using Horizon.
Manage networks
Manage networks using Horizon.
Manage floating IP addresses
Manage networks using Horizon.
Manage block storage
Manage block storage using Horizon.
Manage security and access
Manage security and access to instances using Horizon.
Manage instances with Horizon
Manage instances using Horizon.
Install OpenStack
Install an OpenStack proof of concept using PackStack.
Manage the Keystone identity service
Manage the Keystone identity service using the command-line interface.
Prepare to launch instances with the command-line interface
Prepare to launch instances and manage instances using the command-line interface.
Manage instances with the command-line interface
Manage instances using the command-line interface.
Manage block storage with the command-line interface
Manage block storage using the command-line interface.
Comprehensive review of Red Hat OpenStack Administration I
Review tasks in the Red Hat OpenStack Administration I course.
€3.200
E-Learning
OpenStack Administration: Control Plane Management (CL170) - RHLS-Course [CL170LS]
OVERVIEW
Use Red Hat OpenStack Services on OpenShift and RHEL compute nodes that run VM-based workloads.
OpenStack Administration: Control Plane Management (CL170) helps Red Hat OpenStack cluster administrators to manage the health and performance of OpenStack control plane services, to troubleshoot issues by inspecting Kubernetes operators and workloads, and to configure OpenStack control plane services by using Kubernetes custom resources.
This course is based on Red Hat OpenShift Services on OpenStack 18.
OBJECTIVES
Check the health of OpenStack operators and workloads and identify disabled or misconfigured services
Collect troubleshooting information from OpenStack control and data planes for customer support requests
Enable and customize OpenStack control plane services by configuring the control plane custom resource
Check the health of OpenStack compute notes and identify missing or misconfigured data plane services
Remove and replace or reprovision failed compute nodes
CONTENT
Introduction to Red Hat OpenShift Container Platform
Identify the Red Hat OpenShift architecture and resources, navigate the graphical and command-line interfaces, and find information about commands.
Inspecting OpenStack Services on OpenShift
Identify OpenStack services on OpenShift and assess the health of the OpenStack operator and its dependent resources.
Customizing OpenStack Services
Enable and disable OpenStack services and customize them.
Verifying OpenStack API Connectivity
Identify the resources that connect an OpenStack control plane to its data plane.
Verifying Connectivity to OpenStack Cell Services
Verify that an OpenStack cell is connected to its database and messaging services, and validate the additional services that enable connections to it from compute nodes.
Accessing Storage Resources in OpenStack
Verify the status and connectivity of OpenStack storage resources.
Verifying Reliable OpenStack Services
Configure and assess high availability of an OpenStack control plane and its supporting services.
Verifying Network Encryption for OpenStack Services
Inspect the configuration of OpenStack components and verify that the network communication uses certificate-based encryption.
Inspecting Data Plane Services and Compute Nodes
Identify OpenStack data plane resources and assess their health.
Customizing an OpenStack Data Plane
Apply custom configuration to data plane node sets and verify the applied settings.
€1.870
E-Learning
OpenStack Administration: Control Plane Management (CL170) - RHLS-Course [CL170LS]
OVERVIEW
Use Red Hat OpenStack Services on OpenShift and RHEL compute nodes that run VM-based workloads.
OpenStack Administration: Control Plane Management (CL170) helps Red Hat OpenStack cluster administrators to manage the health and performance of OpenStack control plane services, to troubleshoot issues by inspecting Kubernetes operators and workloads, and to configure OpenStack control plane services by using Kubernetes custom resources.
This course is based on Red Hat OpenShift Services on OpenStack 18.
OBJECTIVES
Check the health of OpenStack operators and workloads and identify disabled or misconfigured services
Collect troubleshooting information from OpenStack control and data planes for customer support requests
Enable and customize OpenStack control plane services by configuring the control plane custom resource
Check the health of OpenStack compute notes and identify missing or misconfigured data plane services
Remove and replace or reprovision failed compute nodes
CONTENT
Introduction to Red Hat OpenShift Container Platform
Identify the Red Hat OpenShift architecture and resources, navigate the graphical and command-line interfaces, and find information about commands.
Inspecting OpenStack Services on OpenShift
Identify OpenStack services on OpenShift and assess the health of the OpenStack operator and its dependent resources.
Customizing OpenStack Services
Enable and disable OpenStack services and customize them.
Verifying OpenStack API Connectivity
Identify the resources that connect an OpenStack control plane to its data plane.
Verifying Connectivity to OpenStack Cell Services
Verify that an OpenStack cell is connected to its database and messaging services, and validate the additional services that enable connections to it from compute nodes.
Accessing Storage Resources in OpenStack
Verify the status and connectivity of OpenStack storage resources.
Verifying Reliable OpenStack Services
Configure and assess high availability of an OpenStack control plane and its supporting services.
Verifying Network Encryption for OpenStack Services
Inspect the configuration of OpenStack components and verify that the network communication uses certificate-based encryption.
Inspecting Data Plane Services and Compute Nodes
Identify OpenStack data plane resources and assess their health.
Customizing an OpenStack Data Plane
Apply custom configuration to data plane node sets and verify the applied settings.
€1.870
E-Learning
Red Hat OpenStack Administration II: Day 2 Operations for Cloud Operators (CL210) - RHLS-Course [CL210LS]
OVERVIEW
Introduction to Red Hat OpenStack Platform configuration and administration of private cloud infrastructure using core OpenStack services
Red Hat OpenStack Administration II: Infrastructure Configuration for Cloud Administrators (CL210) teaches you how to implement a full-featured cloud computing environment using OpenStack. You will learn how to configure, administer, and manage Red Hat® OpenStack Platform infrastructure. The lessons and objectives taught in this course will prepare you for the Red Hat Certified System Administrator in Red Hat OpenStack exam (EX210).
This course is based on Red Hat OpenStack Platform 13.0 and Red Hat® Enterprise Linux® 7.5.
The focus of this course is on managing and using the OpenStack client command-line interface and the director and dashboard graphical web user interfaces to securely manage server instances, compute and storage resources, and user identities.
This course is intended for Linux system administrators, cloud administrators, cloud operators, and infrastructure architects interested in, or responsible for, maintaining a private or hybrid cloud
OBJECTIVES
As a result of attending this course, you will know how to configure and manage an OpenStack installation featuring all of the common, core features and services used by enterprise private/hybrid cloud customers. You will also be able to choose and customize compute, storage, networking, deployment, and application support resources and services tailored to your enterprise needs.
Students should be able to demonstrate the following skills:
Navigate and manage the control plane on the undercloud and the overcloud.
Work with containerized overcloud infrastructure services.
Manage necessary authentication, authorization, and security administration.
Navigate and describe all network layers in an IaaS and all aspects of SDN design and management.
Manage compute node and storage resource, including hyperconvergence.
Troubleshoot typical OpenStack operations.
This course helps you prepare for the Red Hat Certified System Administrator in Red Hat OpenStack exam (EX210)
CONTENT
Navigate the Red Hat OpenStack Platform architecture
Describe the classroom environment, support systems, functions of the undercloud components, and more.
Describe the OpenStack control plane
Identify the shared services running on a controller node and describe service endpoint configuration and security.
Integrate identity management
Describe the installation and architecture of a Red Hat Identity Management back end for the OpenStack identity service.
Perform image operations
Build an image using diskimage-builder and customize launched instances during deployment using cloud-init.
Manage storage
Explain persistent storage options for use in OpenStack, focusing on the expanding capabilities of the default Red Hat® Ceph Storage.
Manage OpenStack networking
Explain the different network types available to the OpenStack networking service and improve network performance with Open Virtual Network.
Manage compute resources
Perform common compute node administration tasks, including live migration, evacuation, and enabling and disabling compute nodes.
Automate cloud applications
Explain the orchestration architecture required to deploy application stacks and write templates using the Heat Orchestration Template (HOT) language.
Troubleshoot OpenStack operations
Discuss recommended diagnostic and troubleshooting tools and techniques.
Comprehensive review
Build a custom image and launch an instance using the custom image.
€3.740
E-Learning
Implementing and Operating Cisco Collaboration Core Technologies Hybrid and Cloud [CLCOR-HC-CPLL]
OVERVIEW
OBJECTIVES
CONTENT
€1.370
E-Learning
Implementing and Operating Cisco Collaboration Core Technologies On-Premises [CLCOR-OP-CPLL]
OVERVIEW
OBJECTIVES
CONTENT
€1.370
E-Learning