67 Automation courses in London

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

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.

DevOps demystified 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 demystifieds training course details Who will benefit: Non-technical staff involved with DevOps. Prerequisites: None. Duration 1 day DevOps demystified training course contents Why DevOps? From a business perspective From an IT perspective Stereotypes of Dev and Ops: perception and reality What is 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

Data centre infrastructure course description This course provides a foundation in data centre infrastructure technologies. It begins with a tour of virtualisation and the impact of this on the network before moving on to the spine and leaf design, how it works and how to scale. Layer 2 technologies enabling this architecture are studied in terms of the impact on the data centre. The course then progresses onto how Layer 3 technologies such as BGP, EVPN and VXLAN are used in data centre networks. The course then studies interconnecting data centres finishing with a section on automation and orchestration of both underlay and overlay networks. What will you learn Explain the spine and leaf architecture Recognise the impact of virtualisation, containers and orchestration on the network Describe how the following technologies are used in data centres: Multi port aggregation Overlay networks MBGP, VRFs, EVPN VXLAN COOP Data centre infrastructure course details Who will benefit: Staff involved with Data centres. Prerequisites: Network fundamentals for engineers Duration 2 days Data centre infrastructure course contents What is Ethernet? Data centres versus enterprise networks. Servers, Blades, Racks, Clusters, Storage, Virtual Machines, Hosts, guests, containers, orchestration. Virtual switches. Distributed switches. Live migrations (e.g. vMotion). IP addressing and VM traffic. Data centre network architecture Spine leaf design. North south traffic, East West traffic, Scaling: Ports, bandwidth. N+1 redundancy, ratio East West optimisation, oversubscription. 2 tier versus 3 tier Leaf/Spine. Pods. Underlay, Overlay L2 technologies STP vs link aggregation vs multi link aggregation. LACP, LLDP, CDP. Scalability. VLANs and VLAN pruning. L2 design recommendations. Disabling STP on edge ports. L3 technologies Underlay, Overlay, VXLAN, VTEP, VXLAN overlay forwarding, EVPN, IS-IS, COOP, MP BGP, VRFs, EBGP, IBGP, AS numbers, route reflectors. Anycast gateways. MTU considerations-for data and control planes. BUM traffic. Data centre interconnects Pods, fabrics, multi pods, multi fabric, multi site. VXLAN with BGP/EVPN Data center interconnect. Cloud integration, Inter Site Networks. Automation Automation and orchestration, Zero touch provisioning, Devops, Netops, telemetry automated configuration for underlay and overlay, SDN.

Network management technologies course description A comprehensive tour of the available network management technologies available for todays networks. The course starts with basic tools such as syslog along with Python network automation. SNMP is then covered with the *flow technologies and streaming telemetry. Configuration management with ansible, Python, NETCONF and RESTCONF is then studied. The final part of the course looks at SDN. Hands on sessions are used throughout to reinforce the theory rather than teach specific manufacturer equipment. Note that sections are available as individual courses. What will you learn Evaluate network management technologies. Evaluate network management technologies. Recognise the weaknesses of SNMP versus NETCONF and streaming telemetry. Explain the role of NETCONF and RESTCONF. Compare & contrast *flow and streaming telemetry. Explain the role of SDN in network management. Automate network configuration with ansible and Python. Network management technologies course details Who will benefit: Those wishing to manage networks. (Previous Python experience is NOT needed) Prerequisites: Intro to data comms Duration 5 days Network management technologies course content Basic network management Network management What is network management? Benefits, issues. FCAPS model. Fault management, Configuration management, accounting, performance, security. What to manage, what not to manage. Managing network devices, managing servers. Monitoring networks Traditional network tools Ping..., SSH, syslog, TFTP for configurations. nmap. Wireshark. CLI. Web based management. Splunk. Nessus, snort, Kali. Hands on syslog, network inventories. Network automation using the CLI Programming and automating networks, netOps. Python, Git. Python network modules, SSH, paramiko, netmiko. EVE-NG. Hands onPython network modules. Structured versus unstructured data Problems with automation and unstructured data. XML, JSON, YAML. The role of YANG. Hands on Parsing data. SNMP SNMP architecture, SNMP MIBs, SMI, the SNMP protocol, polling security. Configuring SNMP. SNMPv1, v2, v3, SNMP security. Which version should you use? MIBs and MIB structure. mib-2, extra parts of mib-2, Private enterprise MIBs. Summary: What SNMP is good/bad at. Hands on Configuring agents and a NMS. MIB browsing. Server management Microsoft, Linux, application polling. WMI vs SNMP. Hands on: Application polling. Performance management *flow Polling, push vs pull, netflow, sflow, IPFIX, *flow. Flows. Where to monitor traffic. Comparing *flow with SNMP. Architecture: Generators and collectors. When flows are exported. NetFlow reporting products. SolarWinds. Hands on Netflow configuration. Collectors. Streaming telemetry Model driven telemetry, periodic/on change. Structured data. Telemetry protocol stack. gRPC and gNMI. Protobuf. gNMI operations. Telemetry architecture. Telegraf, databases, Grafana. Hands on Telemetry example. Configuration management Configuration management tools Chef, puppet, ansible, saltstack. Ansible architecture, controlling machines, nodes, agentless, SSH, modules. Inventories, playbooks, modules, network modules, jinja2 templates. Hands on Network configuration with ansible. NETCONF What is NETCONF? Protocol stack, Data stores, traffic flows, validating configurations, rollback. YANG data models and how YANG is used by NETCONF. XML. Explorers and other tools. Hands on anx, Python and NETCONF. RESTCONF The REST API, HTTP, What is RESTCONF? Tools including Postman. Comparison with NETCONF. Hands on Configuration with RESTCONF. Python network automation: configuration SSH issues. Using structured data. Jinja2. ncclient, requests, NAPALM, Nornir. Automated testing. Hands on Python network device configuration with nornir. Software Defined Networks and orchestration Classic SDN What is SDN? benefits. SDN architecture. SDN applications, SDN switches, SDN controllers, Network Operating Systems. Control plane, data plane. Northbound interfaces. SDN components. Southbound interfaces. OpenFlow. ONF, OpenFlow ports, Flow tables. Network virtualization Virtual networks, virtual switches, NfV. Service chaining. NfV and SDN. SDN implementations Classic SDN, Hybrid SDN, SDN via APIs, SDN via overlays. Data centre SDN, VXLAN, Service Provider SDN, SD WAN, Enterprise SDN, WiFi. SDN and open source OpenDaylight, OpenVSwitch, Open Networking Forum, Open Network Operating System. Hands onOpenStack. SD-WAN What is SD-WAN? Architecture: Edge, gateway, orchestrator, controller. Overlay and underlay. Use of MPLS, 4G/5G. Benefits and features. Secure Access Service Edge (SASE).

Ansible for engineers training course description An introduction to automation using ansible. Ansible is a general purpose IT automation platform that can be use for a number of purposes. The course covers configuration management, cloud provisioning and application deployment with ansible. Hands on sessions follow all major sections. What will you learn Install ansible. Automate tasks with ansible. Write ansible playbooks. Ansible for engineers training course details Who will benefit: Administrators and developers automating tasks. Prerequisites: Linux administration skills Duration 3 days Ansible for engineers training course contents What is ansible? The language, the engine, the framework. Uses of ansible, orchestration. Hands on Installing ansible. Ansible architecture ible architecture Controlling machines, nodes, Agentless, SSH, modules, JSON protocol. Configuration management, inventories, playbooks, modules, roles. Hands on Getting started, running ad hoc commands. Ansible and Vagrant Prototyping and testing. Hands on Using ansible with Vagrant. Ad hoc commands Parallelism, shell commands, managing files and directories, file transfer, package management, manage user and groups, deploying applications, service management, background jobs, checking log files, managing cron jobs. Hands on Using ansible with Vagrant. Playbooks ansible-playbook, users, sudo, YAML, plays, tasks, handlers, modules. Hands on Running playbooks. More playbooks Handlers, variables, environmental variables, playbook variables, inventory variables, variable scope and precedence, accessing variables, facts, ansible vault. Conditionals, wait_for. Hands on Using variables and conditions in playbooks. Roles and includes Dynamic includes, Handler includes, playbook includes. Roles, role parts: handlers, files, templates, cross platform roles, ansible galaxy. Hands on includes example, building roles. Inventories /etc/ansible/hosts, inventory variables, static inventories, dynamic inventories. Hands on Inventories and variables. Miscellanea Individual server cookbooks, Main playbook for configuring all servers. Hands onPlaybooks.

Cloud technologies training course description This course provides an introduction to cloud technologies, including, configuration and deployment, security, maintenance, and management. It covers all aspects of cloud computing infrastructure. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. . What will you learn Contrast and compare AWS, GCP and Azure. Explain the different cloud services, models and characteristics. Explain cloud virtualization components and options. Explain cloud security options. Describe cloud automation, orchestration, monitoring and performance options. Cloud technologies training course details Who will benefit: Anyone working with or looking to work with cloud technologies. Prerequisites: None. Duration 2 days Cloud technologies training course contents What is the cloud? The Internet Cloud computing Benefits Disadvantages Cloud services IaaS, PaaS, SaaS, others. Cloud service providers AWS, GCP Microsoft Azure, others Cloud architectures Private, public, hybrid others Cloud based delivery The cloud and virtualization Virtual Machines, networks, storage, deployment. Accessing the Virtual Machine Secure cloud environments Security considerations. Data privacy considerations Automation and orchestration Monitoring and performance Performance Cost issues Cost containment

Essential SD-WAN training course description SD-WAN is rapidly growing in use. This vendor neutral course starts with an introduction to what SD-WAN is and when it is useful. Each main area of SD-WAN is then studied in more detail to enable delegates to recognise the technologies used in SD-WAN and then use this information to evaluate SD-WAN products. What will you learn Describe what SD-WAN is (and isn't). Explain how SD-WAN works. Evaluate SD-WAN products. Compare and contrast SD-WAN with other technologies such as MPLS, Ethernet, SDN, NFV and WAN optimisation. Essential SD-WAN training course details Who will benefit: Anyone wishing to learn about SD-WAN. Prerequisites: Network fundamentals. Duration 1 day Essential SD-WAN training course contents What is SD-WAN? What is SD and SDN? What is WAN? Branch/ Office. MPLS, MPLS vs Internet, Ethernet, Broadband, LTE/4G, Cable, Satellite. The impact of the cloud. Single console, Dynamic path selection, automation. Why SD-WAN? Single console Network management, orchestration, administration. Example GUI interfaces. Northbound and southbound APIs. Dynamic path selection SD-WAN transports, Overlay networks, security. VPNs, IPsec. QoS and prioritization. Policies, traffic path rules. Application specific routing, bonding, optimisation. Automation Time saving, removing errors. Zero touch, ZOOM, ZTP. The role of the orchestrator. Real time monitoring of the network. APIs. Architecture and products Hardware solutions, software solutions, virtual appliances. Clouds. SD-WAN edge devices, SDWAN controllers, Orchestrators. HA and SD-WAN. Riverbed, Cisco, Juniper, others. Summary SD-WAN doesn't replace MPLS, virtualisation and SD-WAN. Relationship with SDN and NFV. SDWAN versus WAN optimisation.

Develop true Digital Marketing Strategy expertise with DMI Specialist. Learn digital communications, analytics, marketing automation and budget & strategy formulation from Industry Skills Experts. Course Overview This dynamic online Diploma in Digital Strategy & Planning course covering topics in digital communications, analytics, marketing automation and budget & strategy formulation giving you the skills, know-how, strategy and techniques to be that change. Here is power. The power to influence. To speak to billions of people. Specialization is for when you don’t just want to play the digital marketing game anymore, you want to drive it. To change it. the DMI SPECIALIST online Digital Strategy and Planning certification is perfect for you to become an online digital marketer. Become a member and connect to the industry and white-hot opportunities. Here is power. The power to influence. To speak to billions of people. What’s New? Develop true Digital Marketing Strategy expertise with DMI Specialist. Learn digital communications, analytics, marketing automation and budget & strategy formulation from Industry Skills Experts. Learn every aspect of Digital Marketing Strategy across 9 modules of interactive learning to give you a highly relevant and deep knowledge of digital strategy, all wrapped up with the world’s most recognized digital marketing certification on completion. Program learning outcomes and content: WHAT WILL I LEARN? We give you the thinking and tools to become a leading player on the digital stage. Create powerful and dynamic digital strategy. See it manifest into real world, business-changing action. The modules are building blocks – of knowledge, of your vision, of the leading Certified Digital Marketing Specialist – Digital Strategy & Planning that is you. Here is what you need to know. Course Content: Introduction: We bring science to thought. We have created the 3i Framework which is designed to help you select the best digital strategy for your organisation and make it happen. The 3i is smart and rigorous. It’s transformative. And you shall be impressed. This module introduces this nifty piece of brainwork. Later modules expand on it. • The fundamental concepts underpinning the DMI 3i Methodology. • The how-to’s of business strategy development. • Key components in an effective digital strategy. • Strategic management, a long-sighted look at lasting, growing success Traditional Communications: In this model, we explore how the marketing classics still anchor any campaign – yet the contemporary digital campaign is a far more fantastical vessel. We look deep into how our tech is changing the consumer experience, and how we must respond. Digital Communications: We are living through extraordinary times. The opportunities are as big, sprawling and diverse as the World Wide Web. The challenge too is bigger. Markets are sophisticated and fragmented. Now, more than ever, thy most know thy consumer (and thy digital channels). Here we look at: the fundamentals of digital communications planning, improving ROI, understanding your audience. Where can they be found? How to engage them? Budgeting for your digital strategy and effective resources reviewing, measuring, and analysing your digital strategy. Digital Channels: Facebook, Linkedin, Instagram, Twitter, Snapchat and so on. They multiply and they proliferate. Yet in this great distraction and fragmentation, there is also great opportunity. This module covers: inbound and outbound strategies, cross media planning, the digital channel mix, and mobile marketing social media marketing. Content marketing that is relevant, timely and riveting the what, how and why of search engine marketing email marketing, affiliate marketing, and marketing automation display and video advertising best practice. Because we have eyes to see. Marketing Automation: Automation doesn’t beat inspiration but it sure makes a marketeer’s life easier and more exciting. Here is superpower, working quieting and perfectly under your orders, night and day. See how smart businesses are sharpening their edge with CRM software for better sales enablement, lead nurturing and way more. Budget & Resourcing: Money makes marketing go round. But value is where it’s at. This model goes deep on how to hit max ROI for any given budget. Then some consideration for that other precious resource, human talent. Explore: • Key factors to consider when planning a marketing budget. • Setting that marketing budget. • How to monitor and optimize a budget during campaign, execution. • The human element. • Recruit, train and keep top people. Big Data & Analytics: The Big Data & Analytics module will provide you with a broad understanding of Big Data, Advanced Analytics and Artificial Intelligence. You will learn the fundamental frameworks and understand how cutting-edge analytics tools are being used to help businesses succeed wildly. Digital Leadership: We are living in extraordinary times, which call for extraordinary leaders. That means you. You shall lead the transition from the remnants of traditional marketing and into the brave, new digital marketing world which you are helping to invent. And you shall lead with razor-sharp thought and strategy. You shall take your brand and your organisation to places yet undreamed of. Strategy Formulation & Plan: By now, you’ll have come a long way. You are (almost) ready to go forth, carve out new and unexplored neural pathways and digital markets. You are standing on the very edge of the leading-edge, and you are just about ready to spread those new digital super-wings and soar. But first, the ultimate strategy module; the ultimate in strategy. DURATION 8-10 Weeks WHATS INCLUDED Course Material Case Study Experienced Lecturer Refreshments Certificate

Supporting Microsoft SharePoint course description A concise hands on course enabling delegates to manage and administer a SharePoint site. What will you learn Perform initial farm configuration. Use stsadm commands. Manage content. Secure SharePoint. Customise SharePoint search. Monitor and performance tune SharePoint. Supporting Microsoft SharePoint server course details Who will benefit: Anyone working with Microsoft SQL server Prerequisites: SharePoint Administrators. Duration 2 days Supporting Microsoft SharePoint course contents SharePoint Introduction A SharePoint installation. Initial farm configuration. Creating a site collection. Administering SharePoint Stsadm commands, automation with PowerShell. Managing content Lists, libraries, items and documents Security SecureStore, Users and groups, roles and role assignments. Permission levels. SharePoint search Configure search, refine search. SharePoint performance Diagnostic logging, logging levels, Health anaylzer, performance bottlenecks.