113 Courses in London delivered Live 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

Duration 5 Days 30 CPD hours This course is intended for IT professionals with five to eight years of experience in these roles: Data center engineers Network designers Network administrators Network engineers Systems engineers System administrator Consulting systems engineers Technical solutions architects Server administrators Network managers Cisco integrators or partners Overview After taking this course, you should be able to: Describe the Layer 2 and Layer 3 forwarding options and protocols used in a data center Describe the rack design options, traffic patterns, and data center switching layer access, aggregation, and core Describe the Cisco Overlay Transport Virtualization (OTV) technology that is used to interconnect data centers Describe Locator/ID separation protocol Design a solution that uses Virtual Extensible LAN (VXLAN) for traffic forwarding Describe hardware redundancy options; how to virtualize the network, compute, and storage functions; and virtual networking in the data center Describe solutions that use fabric extenders and compare Cisco Adapter Fabric Extender (FEX) with single root input/output virtualization (SR-IOV) Describe security threats and solutions in the data center Describe advanced data center security technologies and best practices Describe device management and orchestration in the data center Describe the storage options for compute function and different Redundant Array of Independent Disks (RAID) levels from a high-availability and performance perspective Describe Fibre Channel concepts, topologies, architecture, and industry terms Describe Fibre Channel over Ethernet (FCoE) Describe security options in the storage network Describe management and automation options for storage networking infrastructure Describe Cisco UCS servers and use cases for various Cisco UCS platforms Explain the connectivity options for fabric interconnects for southbound and northbound connections Describe the hyperconverged solution and integrated systems Describe the systemwide parameters for setting up a Cisco UCS domain Describe role-based access control (RBAC) and integration with directory servers to control access rights on Cisco UCS Manager Describe the pools that may be used in service profiles or service profile templates on Cisco UCS Manager Describe the different policies in the service profile Describe the Ethernet and Fibre Channel interface policies and additional network technologies Describe the advantages of templates and the difference between initial and updated templates Describe data center automation tools The Designing Cisco Data Center Infrastructure (DCID) v7.0 course helps you master design and deployment options focused on Cisco© data center solutions and technologies across network, compute, virtualization, storage area networks, automation, and security. You will learn design practices for the Cisco Unified Computing System? (Cisco UCS©) solution based on Cisco UCS B-Series and C-Series servers, Cisco UCS Manager, and Cisco Unified Fabric. You will also gain design experience with network management technologies including Cisco UCS Manager, Cisco Data Center Network Manager (DCNM), and Cisco UCS Director. This course helps you prepare to take the exam, Designing Cisco Data Center Infrastructure (300-610 DCID) Describing High Availability on Layer 2 Overview of Layer 2 High-Availability Mechanisms Virtual Port Channels Cisco Fabric Path Virtual Port Channel+ Designing Layer 3 Connectivity First Hop Redundancy Protocols Improve Routing Protocol Performance and Security Enhance Layer 3 Scalability and Robustness Designing Data Center Topologies Data Center Traffic Flows Cabling Challenges Access Layer Aggregation Layer Core Layer Spine-and-Leaf Topology Redundancy Options Designing Data Center Interconnects with Cisco OTV Cisco OTV Overview Cisco OTV Control and Data Planes Failure Isolation Cisco OTV Features Optimize Cisco OTV Evaluate Cisco OTV Describing Locator/ID Separation Protocol Locator/ID Separation Protocol Location Identifier Separation Protocol (LISP) Virtual Machine (VM) Mobility LISP Extended Subnet Mode (ESM) Multihop Mobility LISP VPN Virtualization Describing VXLAN Overlay Networks Describe VXLAN Benefits over VLAN Layer 2 and Layer 3 VXLAN Overlay Multiprotocol Border Gateway Protocol (MP-BGP) Ethernet VPN (EVPN) Control Plane Overview VXLAN Data Plane Describing Hardware and Device Virtualization Hardware-Based High Availability Device Virtualization Cisco UCS Hardware Virtualization Server Virtualization SAN Virtualization N-Port ID Virtualization Describing Cisco FEX Options Cisco Adapter FEX Access Layer with Cisco FEX Cisco FEX Topologies Virtualization-Aware Networking Single Root I/O Virtualization Cisco FEX Evaluation Describing Basic Data Center Security Threat Mitigation Attack and Countermeasure Examples Secure the Management Plane Protect the Control Plane RBAC and Authentication, Authorization, and Accounting (AAA) Describing Advanced Data Center Security Cisco TrustSec in Cisco Secure Enclaves Architecture Cisco TrustSec Operation Firewalling Positioning the Firewall Within Data Center Networks Cisco Firepower© Portfolio Firewall Virtualization Design for Threat Mitigation Describing Management and Orchestration Network and License Management Cisco UCS Manager Cisco UCS Director Cisco Intersight Cisco DCNM Overview Describing Storage and RAID Options Position DAS in Storage Technologies Network-Attached Storage Fibre Channel, FCoE, and Internet Small Computer System Interface (iSCSI) Evaluate Storage Technologies Describing Fibre Channel Concepts Fibre Channel Connections, Layers, and Addresses Fibre Channel Communication Virtualization in Fibre Channel SAN Describing Fibre Channel Topologies SAN Parameterization SAN Design Options Choosing a Fibre Channel Design Solution Describing FCoE FCoE Protocol Characteristics FCoE Communication Data Center Bridging FCoE Initialization Protocol FCoE Design Options Describing Storage Security Common SAN Security Features Zones SAN Security Enhancements Cryptography in SAN Describing SAN Management and Orchestration Cisco DCNM for SAN Cisco DCNM Analytics and Streaming Telemetry Cisco UCS Director in the SAN Cisco UCS Director Workflows Describing Cisco UCS Servers and Use Cases Cisco UCS C-Series Servers Fabric Interconnects and Blade Chassis Cisco UCS B-Series Server Adapter Cards Stateless Computing Cisco UCS Mini Describing Fabric Interconnect Connectivity Use of Fabric Interconnect Interfaces VLANs and VSANs in a Cisco UCS Domain Southbound Connections Northbound Connections Disjoint Layer 2 Networks Fabric Interconnect High Availability and Redundancy Describing Hyperconverged and Integrated Systems Hyperconverged and Integrated Systems Overview Cisco HyperFlex? Solution Cisco HyperFlex Scalability and Robustness Cisco HyperFlex Clusters Cluster Capacity and Multiple Clusters on One Cisco UCS Domain External Storage and Graphical Processing Units on Cisco HyperFlex Cisco HyperFlex Positioning Describing Cisco UCS Manager Systemwide Parameters Cisco UCS Setup and Management Cisco UCS Traffic Management Describing Cisco UCS RBAC Roles and Privileges Organizations in Cisco UCS Manager Locales and Effective Rights Authentication, Authorization, and Accounting Two-Factor Authentication Describing Pools for Service Profiles Global and Local Pools Universally Unique Identifier (UUID) Suffix and Media Access Control (MAC) Address Pools World Wide Name (WWN) Pools Server and iSCSI Initiator IP Pools Describing Policies for Service Profiles Global vs. Local Policies Storage and Basic Input/Output System (BIOS) Policies Boot and Scrub Policies Intelligent Platform Management Interface (IPMI) and Maintenance Policies Describing Network-Specific Adapters and Policies LAN Connectivity Controls SAN Connectivity Controls Virtual Access Layer Connectivity Enhancements Describing Templates in Cisco UCS Manager Cisco UCS Templates Service Profile Templates Network Templates Designing Data Center Automation Model-Driven Programmability Cisco NX-API Overview Programmability Using Python Cisco Ansible Module Use the Puppet Agent Additional course details: Nexus Humans Cisco Designing Cisco Data Center Infrastructure v7.0 (DCID) 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 Designing Cisco Data Center Infrastructure v7.0 (DCID) 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 Before taking this course delegates should already be familiar with basic analytics techniques, comfortable with basic data manipulation tools such as spreadsheets and databases and already familiar with at least one programming language Overview This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively use the programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. Outcomes: After completing the course, delegates will be capable of writing production-ready R code to perform advanced analytics tasks enabling their organisations make better, data-driven decisions. Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. Topic 1 Intro to our chosen language Topic 2 Basic programming conventions Topic 3 Data structures Topic 4 Accessing data Topic 5 Descriptive statistics Topic 6 Data visualisation Topic 7 Statistical analysis Topic 8 Advanced data manipulation Topic 9 Advanced analytics ? predictive modelling Topic 10 Advanced analytics ? segmentation