105 Courses delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for Experienced VMware administrators, automation and orchestration specialists, system integrators, and private cloud and public cloud administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the features and benefits of integrating vRealize Orchestrator and vRealize Automation Describe the role of vRealize Orchestrator workflows and content elements in automation Use the vRealize Orchestrator client to access and navigate the vRealize Orchestrator platform Use the vRealize Orchestrator client to import and run vRealize Orchestrator library workflows Design, develop, and run custom reusable vRealize Orchestrator workflows Integrate vRealize Automation with vRealize Orchestrator to deliver custom IT services Use the vRealize Automation event broker service to trigger specific vRealize Orchestrator workflows or ABX Actions Leverage the event broker to extend IaaS (Infrastructure-as-a-Service) machine lifecycle processes Use XaaS to extend vRealize Automation into other enterprise systems Use VMware APIs to run vRealize Orchestrator workflows Use the vSphere Client Code Capture feature During this five-day course, you focus on using VMware vRealize© Orchestrator? to extend the functionality of VMware vRealize© Automation?. You learn how to provide XaaS (Anything as a Service) and implement Machine Lifecycle Extensibility using the VMware vRealize© Automation? Event Broker. You also learn how to create vRealize Orchestrator workflows and vRealize Automation ABX actions. You learn about various features, including basic scripting implementation along with logic processing to implement a variety of functions to use in your environment. This course teaches implementing debugging, loops, conditions, and user interactions in vRealize Orchestrator. The course introduces the new vRealize Orchestrator HTML 5 interface, along with API calls and REST functions, to give you the groundwork to implement a variety of plugins and scripts. This course is designed to give you the tools to craft custom solutions in the product. Course Introduction Introductions and course logistics Course objectives Overview of vRealize Automation and vRealize Orchestrator Define the purpose of vRealize Automation Outline the purpose of vRealize Orchestrator Describe the main components of vRealize Automation Describe the main components of vRealize Orchestrator Creating Schema Elements Invoking JavaScript from a vRealize Orchestrator workflow Invoking a vRealize Orchestrator Workflow from a vRealize Orchestrator workflow Invoking an action from a vRealize Orchestrator workflow Using vRealize Orchestrator workflows both synchronously and asynchronously Working with Variables Defining inputs, outputs, and variables in vRealize Orchestrator workflows Binding variables in vRealize Orchestrator workflows Wrapping vRealize Orchestrator workflows Using APIs and the API Explorer Creating actions in vRealize Orchestrator Using vRealize Orchestrator input forms Handling user interactions in vRealize Orchestrator Handling Exceptions, Logging, and Debugging Handling exceptions in vRealize Orchestrator workflows Using logs in vRealize Orchestrator workflows Debugging vRealize Orchestrator workflows Branching and Looping Using branching in vRealize Orchestrator workflows Using loops in vRealize Orchestrator workflows Working with Assets Using configuration elements in vRealize Orchestrator Using resources in vRealize Orchestrator Using packages in vRealize Orchestrator Working with Plug-Ins Downloading and installing Plug-Ins Using the SSH plug-In in vRealize Orchestrator Using the REST plug-in in vRealize Orchestrator Using the vRealize Automation plug-in in vRealize Orchestrator Using the PowerShell plug-in in vRealize Orchestrator Working with Versioning and Git Using versioning in vRealize Orchestrator Using Git in vRealize Orchestrator Scheduling, Sleeping, and Waiting Using scheduling in vRealize Orchestrator Using sleeping in vRealize Orchestrator Using waiting in vRealize Orchestrator Introduction to vRealize Automation Extensibility Introduction to extensibility Using ABX actions Using Python Using Nodejs Using PowerShell Using vRealize Automation Lifecycle Extending vRealize Automation with Event Broker Overview of vRealize Automation Event Broker Creating vRealize Automation subscriptions Data exchange between vRealize Automation and vRealize Orchestrator Using ABX Actions Overview of Action Based Extensibility (ABX) Comparison of vRealize Orchestrator and ABX Creating ABX Actions scripts, REST, and flows Using Day-2 Actions in vRealize Automation Describe the visualization capabilities of NSX Network Detection and Response Working with Services, Custom Resources, and Resource Actions Using vRealize Orchestrator as a content source in vRealize Automation Creating custom resources in vRealize Automation Creating resource actions in vRealize Automation Using Day-2 Actions in vRealize Automation Using vSphere Client Code Capture Enabling vSphere Client code capture Using vSphere Client code capture to capture code in vRO, Javascript, PowerCLI or other languages. Using the captured code in vRealize Orchestrator workflows or actions.

Duration 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

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