703 Automation courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

Jenkins training course description An introduction to Continuous Integration and development (CI/CD) in network automation using Jenkins. The course focusses specifically on the network Devops case of using Jenkins. What will you learn Explain how Jenkins can help with network automation. Configure Jenkins for network Devops. Use Jenkins for network automation. Jenkins training course details Who will benefit: Network engineers. Prerequisites: TCP/IP Foundation Duration 1 day Jenkins training course contents What is Jenkins? DevOps, CI/CD, version control systems, git, automating execution of tasks, Jenkins job, Jenkins pipeline, Jenkins plugins, CI server. Hands on Installing Jenkins. Example pipeline for network automation YAML, GitHub, Jenkins, ansible, network devices. Hands on Investigating a workflow: Auto deploying network configurations. Configuring Jenkins Code repository, build triggers, gerrit and reviews, build environment. A Jenkins job, build step, post build actions, running a Jenkins job, build log, home directory. Hands on Configuring Jenkins. CI using Jenkins Branches, pipeline, git, the git plugin. Hands on A Jenkins job to poll, build and unit test network configurations.

Python training course description This Python course focusses on teaching Python for use in network automation and network DevOps. We focus on getting delegates up and running with Python and network automation as quickly as possible rather than making them great programmers. In other words we concentrate on enabling delegates to use network automation libraries such as netmiko, NAPALM and Nornir, and APIs such as NETCONF and RESTCONF rather than enabling delegates to produce object oriented programs. Hands on sessions use Cisco and Juniper devices. What will you learn Run Python programs. Read Python programs. Write Python programs. Debug Python programs. Automate network tasks with Python programs. Configure network devices with Python. Collect data from network devices with Python. Python training course details Who will benefit: Network engineers. Prerequisites: TCP/IP Foundation Duration 5 days Python training course contents What is Python? Programming languages, Why Python? Python in interactive mode, Python scripts, ipython, Python version 2 versus version 3. A simple Python script. Comments. Hands on Installing Python, Hello world. A network example On box vs off box Python. telnet, ssh, NETCONF, HTTP, APIs, manufacturers and API support, analysis of a simple telnetlib program. Hands on Using Python to retrieve the configuration from a network device. Using wireshark to analyse the actions. Python basics I/O, operators, variables and assignment, types, indentation, loops and conditionals. Hands on Modifying the telnet program, changing configurations on a network devices. Functions, classes and methods What are functions, calling functions, builtin functions, useful builtin functions, file handling, classes, objects, creating instances. Hands on Storing configurations in files, configuring devices from files, using an inventory file to work on multiple devices. Libraries and modules Modules, files and packages, import, from-import, Python standard library, other packages, pip install, executing other programs. Managing python libraries. Hands on Using pip, installing and using ipaddress, subprocess to access netsnmp. For the more advanced, using the sockets library. Paramiko and netmiko SSH, enabling SSH on devices, keys. Paramiko versus netmiko, example scripts. pexpect. Hands on Configuring VLANs from Python. pySNMP Gathering facts using previous methods, SNMP review, pySNMP GET, pySNMP and SNMPv3. easySNMP library. Hands on Walking a MIB from Python. NETCONF What is NETCONF? Enabling NETCONF on devices, A first ncclient script, device handlers, get_config, edit_config, copy_config, delete_config, commit, validate, pyEZ, utils_config, utils.sw. Hands on Configuration using ncclient and PyEZ. This session is expanded for those interesting in JunOS automation. Manipulating configuration files Builtin functions, string handling. Unicode. Sequences, strings, lists, tuples. Dictionaries. TextFSM. Regular expressions. JSON, YAML, XML, YANG, Jinja2, templates. Hands on Jinja2 templating with Python to configure network devices. NAPALM Getters, configuration operations, supported devices, NAPALM transport, Config-replace, Config-merge, Compare config, Atomic changes, rollback. Example NAPLAM scripts. Hands on Using NAPALM to gather facts, Using NAPALM for configuration management REST and RESTCONF What is REST, HTTP methods, GET, POST, cURL, Postman, Python requests library. RESTCONF, a RESTCONF example. Hands on Modifying a configuration using RESTCONF. Scapy What is scapy, Scapy in interactive mode, Scapy as a module. Hands on Packet crafting from Python. Warning Errors and exceptions, Exception handling, try, except. Memory management. Garbage collection. Context management, With. Hands on Improving Python code. Nornir What is Nornir? A network automation framework, inventories, connection management and parallelization. Nornir architecture and other libraires. Hands on Setting up nornir, nornir fact gathering, nornir tasks. Optional Writing your own functions, Writing your own classes. pyntc. Hands on Writing reusable code.

DevOps training course description This course is an introduction to DevOps. The course emphasizes communication, collaboration , integration, and automation to improve the workflow between developers and IT operations professionals. Improved workflows lead to more opportunities to design software and services in a more agile fashion. This course is a basis for discovering the most important DevOps concepts and to understand the principles and methods behind this. The course will leave you with the inspiration to be the advocate of change. What will you learn Explain DevOps principles. Describe the relationship between Agile , Lean and IT Service Management ( ITSM). Describe methods for automation and technology factors. Describe considerations when changing. Describe challenges, risks and critical success factors. DevOps training course details Who will benefit: IT development, IT operations and IT service management. Prerequisites: Introduction to data communications & networking. Duration 2 days DevOps training course contents Why DevOps? Introduction DevOps Goals DevOps Added value of DevOps Proven Results DevOps for businesses DevOps principles (The Three Ways) DevOps and other frameworks DevOps and Agile DevOps and Lean DevOps and IT Service Management DevOps culture Characteristics of a DevOps culture Organizational Considerations DevOps DevOps stakeholders DevOps roles DevOps teams DevOps organizational structures DevOps methods Continuous Integration Continuous delivery Continuous deployment Value stream mapping Kanban Theory of Constraints Improvement Kata Deming's quality circle ITSM processes DevOps and Automation Methods for DevOps automation Longevity and tools categories DevOps applications Transitioning to a DevOps culture. Implementation Challenges, risks and critical success factors Measuring DevOps successes

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Network Administrators Administrators interested in Automation Individuals interested in devops, specifically for networking Overview This course teaches students to blend Python skillsets with Ansible through the lens of automating networks. Automation techniques for the most popular vendor (incl. Cisco, Juniper, Arista) will be subjects of study, however, students may request examples from vendors within their own environments. Topics begin with a focus on automating networks with Python; this skill set is then folded into a broadening understanding of automating with Ansible. Students will have programmatic experience automating enterprise class networks by the conclusion of this course (includes writing custom Ansible modules with Python). Class is a combination of lecture, demonstration, and hands-on labs. Students are invited to share their own relevant Python and Ansible scripts with the instructor to ensure class subjects are as relevant as possible. All notes and scripts will be made available to students by the end of each day via a cloud-share or email. Lab time will be given reinforce that day's topics and demonstrations. No two networks are the same! Learn to automate your network with a Python and Ansible skillset. Course can be taught across all major (and most minor) network vendors. Course demonstrations can be adapted to best-fit the customer?s network to ensure all lessons have maximum relevance. Day 1 ? Critical Python Catchup & Review Overview of Python and Ansible Python white space rules & best practices Printing and more Printing Date types and Variables Packing and Unpacking Variables f Strings Conditional expressions Relational and Boolean operators Lists, Tuples, Dictionaries Indexing and slicing Built-in functions Iterating with Loops (for and while) Working with files Software Control Management (SCM) (Git, Github, Bitbucket, Cloudshare, etc.) Using Python to access REST interfaces Working with JSON Python, Ansible and Paramiko Using Paramiko to SSH with keys and passwords RESTful API review API keys Paramiko Review Using Paramiko to SFTP with keys and passwords Day 02 ? Python and Network Automation Introduction to Netmiko (automating routers and switches) Using Netmiko to send commands to / from network devices Working with YAML Converting JSON to YAML with Python Ansible keywords YAML and JSON for data exchange Ansible and YAML Ansible Playbook components Tying together Python and Ansible ? Using Python within Ansible Ansible Network Modules What is new in Ansible (most current updates / release notes) Network Agnostic modules Writing network playbooks Reviewing the construction of network playbooks Writing Ansible playbooks that respond to network failures Day 03 ? Blending Python and Ansible Skillsets Review how to use Python within Ansible Calling Python scripts with Ansible Jinja2 Templating Engine for Python (and Ansible) Using Templates in Ansible playbooks Jinja2 filters, looping, and other useful tricks for automating with Ansible Playbook tagging for selective runs When to use Python and when to use Ansible ?Big Picture? options for using Python & Ansible within your Network Ansible Roles Day 04 ? Customizing Ansible with Python Review ? Running Scripts with Ansible Prompting for Ansible user input Ansible Galaxy & Getting at Roles Writing a custom Ansible Module with Python Ansible ?Engine? vs Ansible ?Tower? ? marketing hype, capabilities, costs, etc. Case Study: Automate your Enterprise Network When to use Python and when to use Ansible Writing your own Ansible modules in Python ?Big Picture? options for using Python & Ansible within your Network Overview ? NETCONF / YANG and what they mean for Python and Ansible Molecule ? Testing your roles Additional course details: Nexus Humans Network Automation with Python and Ansible training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Network Automation with Python and Ansible course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for: System installers System integrators System administrators Network administrators Solutions designers Overview After taking this course, you should be able to: Explain WAE basics, the purpose of WAE, and its capabilities Understand the Cisco WAE solution implementation Describe the network module configuration process Describe WAE Design software tools, demands creation, BGP modeling, and Failure and Simulation analysis Describe Cisco WAE Design traffic engineering and QoS modeling Explain how to use API with WAE Design and WAE Server Describe the function, components, and processes of Cisco WAE Live The Operating and Implementing Cisco WAN Automation Engine (SPWAE) v1.0 course teaches you, through a combination of lectures and labs, how to install the Cisco© WAN Automation Engine (WAE), builds your confidence with Cisco WAE configuration and basic troubleshooting, and enables you to practice designing and managing bandwidth and traffic engineering.Additionally, you?ll learn the basic knowledge necessary to plan, deploy, configure, and maintain the Cisco WAN Automation Engine solutions. Course Outline WAE Solution and Architecture Overview Implementing a Cisco WAE Solution Network Model Configuration WAE Design Fundamentals Cisco WAE Design Traffic Engineering and Optimization Introducing Cisco WAE API Cisco WAE Live Deployment Additional course details: Nexus Humans Cisco Operating and Implementing Cisco WAN Automation Engine v1.0 (SPWAE) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Operating and Implementing Cisco WAN Automation Engine v1.0 (SPWAE) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for Service Provider networking professionals in job roles such as: Network administrators Network architects Network designers Network engineers Network managers Network Operations Center (NOC) personnel Network supervisors Overview After taking this course, you should be able to: Use NETCONF and RESTCONF programmability protocols on Cisco devices Describe and use tools to validate YANG data models on Cisco devices Describe and configure model-driven telemetry on Cisco devices Describe and configure network traffic automation with Cisco XTC Describe and use network automation tools that utilize SSH Automate service provider network configuration with Cisco NSO Describe how to automate virtualized resources with Cisco ESC Describe how to automate service provider WAN with Cisco WAE This course prepares you to implement and support automation solutions in a Service Provider network infrastructure, using network programmability principles, protocols, tools, and mechanisms. Through a combination of lessons and hands-on labs, you will learn to deploy, configure, monitor, and operate Service Provider network environments using modern data models. These models allow you to represent operational data and new network management protocols in order to administer hundreds or thousands of devices in a single operation, replacing traditional, time-consuming, error prone, device-by-device Command Line Interface (CLI) management. The course also introduces powerful automation solutions that can streamline network operations. This course also prepares you for the CCNP-Service Provider concentration exam 300-535. Implementing Network Device Programmability Interfaces with NETCONF and RESTCONF Implement NETCONF Protocol Implement RESTCONF Protocol Implementing Model-Driven Programmability with YANG YANG Data Models YANG Tools YANG Development Kit Implementing Model-Driven Telemetry Implementing Model-Driven Telemetry with gRPC Implementing Model-Driven Telemetry with gNMI Automating Service Provider Network Traffic with Cisco XTC Cisco XTC Fundamentals Configure Cisco XTC Automating Networks with Tools That Utilize SSH Implement Device Configurations with Python Netmiko Library Implement Device Configurations with Ansible Playbooks Orchestrating Network Services with Cisco NSO Cisco NSO Fundamentals Cisco NSO Device Manager Cisco NSO Services Implement Device Configurations with Python Automating Virtualized Resources with Cisco Elastic Services Controller Cisco ESC Architecture Cisco ESC Resource Management Automating the WAN with Cisco WAE Describe the Cisco WAE Components Additional course details: Nexus Humans Cisco Implementing Automation for Cisco Service Provider Solutions v1.0 (SPAUI) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing Automation for Cisco Service Provider Solutions v1.0 (SPAUI) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators or network administrators, software and DevOps engineers Overview By the end of the course, you should be able to meet the following objectives: Describe VMware NSX Advanced Load Balancer architecture Describe VMware NSX Advanced Load Balancer components and main functions Explain VMware NSX Advanced Load Balancer key features and benefits Describe and leverage VMware NSX Advanced Load Balancer REST API Describe and leverage VMware NSX Advanced Load Balancer SDKs with extended focus on Python SDK Leverage REST API and SDK features and functions to provision application delivery components Describe and leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations Describe and leverage VMware NSX Advanced Load Balancer Github, Docker (avinetworks/avitools), Ansible Galaxy and other open source resources to accelerate the automation planning and implementation Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to provision infrastructure components Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to automate and streamline application delivery services provisioning This three-day, fast-paced course provides comprehensive training on how to automate infrastructure and application components of VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key application delivery features of NSX Advanced Load Balancer (Avi Networks) features and functionality offered in VMware NSX Advanced Load Balancer 18.2 release and focuses on how to plan and implement automation of infrastructure and application components leveraging REST API, SDK or automation solutions such as Ansible, Terraform or similar. Access to a software-defined data center environment is provided through hands-on labs to reinforce the skills and concepts presented in the course. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases, and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and functions Virtual Services Configuration Concepts Explain Virtual Service components Explain Virtual Service types Explain and configure basic virtual services components such as Application Profiles, Network Profiles,Pools and Health Monitors Pools Configuration Concepts Explain and deep dive on Pool configuration options Describe multiple load balancing algorithms Explain multiple Health Monitor types Explain multiple Persistent profiles Explain and configure Pool Groups Leveraging NSX Advanced Load Balancer REST API Explain NSX Advanced Load Balancer automation vision Explain and introduce NSX Advanced Load Balancer REST API Describe NSX Advanced Load Balancer REST API methods and capabilities Describe NSX Advanced Load Balancer REST API session handling properties such authentication, API versioning and tenancy model Deep dive on NSX Advanced Load Balancer REST API Object Model Explain and investigate NSX Advanced Load Balancer REST API leveraging browser and command line utilities Explain and interact with NSX Advanced Load Balancer REST API leveraging browser, Postman and Curl Explain Swagger-based API Documentation Explain and leverage NSX Advanced Load Balancer Inventory API Explain and leverage NSX Advanced Load Balancer methods such as GET, PUT, POST and PATCH and associated queries, filters and parameters Deep dive on NSX Advanced Load Balancer PATCH method Explain and leverage NSX Advanced Load Balancer Analytics API Explain and leverage NSX Advanced Load Balancer MACRO API NSX Advanced Load Balancer Software-Defined Kits (SDKs) and ControlScripts Introduce NSX Advanced Load Balancer SDKs Describe, install and leverage NSX Advanced Load Balancer Python SDK Deep dive on NSX Advanced Load Balancer Python SDK Describe and leverage Golang SDK Leverage NSX Advanced Load Balancer open source resources such as Github, etc to accelerate SDKs adoption Describe NSX Advanced Load Balancer Events and Alerts framework Introduce ControlScripts foundations Leverage ControlScripts to automate configuration changes and alerts remediation Automating NSX Advanced Load Balancer Application Delivery Services with Ansible and Terraform Introduce NSX Advanced Load Balancer Configuration Orchestration and Management vision Introduce and explain Ansible foundations Describe Ansible and NSX Advanced Load Balancer Ansible capabilities Deep dive and implement NSX Advanced Load Balancer Ansible Core configuration modules (avinetworks/avisdk) Deep dive and implement Ansible NSX Advanced Load Balancer Declarative configuration role (avinetworks/aviconfig) Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Ansible playbooks Explain application delivery configuration automation approach and models Apply configuration automation models with Ansible Introduce and explain Terraform foundations Describe Terraform and NSX Advanced Load Balancer Terraform capabilities Deep dive and implement NSX Advanced Load Balancer Terraform Provider Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Terraform plans Apply configuration automation models with Terraform Automating NSX Advanced Load Balancer Infrastructure with Ansible and Terraform Introduce NSX Advanced Load Balancer infrastructure Automation vision Describe infrastructure deployment approach and capabilities Describe Ansible and NSX Advanced Load Balancer Ansible Infrastructure deployment approach and capabilities Describe Terraform and NSX Advanced Load Balancer Terraform deployment approach and capabilities Leverage Terraform to deploy Controllers and perform system configuration, including control plane cluster setup Leverage Terraform to provision Cloud, Service Engine Groups and Service Engine components Describe and leverage Ansible roles to deploy Controllers and perform initial system configuration, including control plane cluster setup Leverage Ansible declarative and core roles to provision Cloud, Service Engine Groups and Service Engine components Describe and implement combined Terraform + Ansible model to streamline NSX Advanced Load Balancer solution deployment

Step-by-step tutorial to build a robust automation framework - TestNG, ANT, Maven, Jenkins, Cucumber, Git, Pageobject, Cloud,SQL

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.