4807 Ada courses delivered Online

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 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 Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 5 Days 30 CPD hours This course is intended for Students in this course are interested in Microsoft 365 development platform or in passing the Microsoft 365 Developer Associate certification exam. Students should also have 1-2 years experience as a developer. This course assumes students know how to code and have a basic understanding of REST APIs, JSON, OAuth2, OData, OpenID Connect, Microsoft identities including Azure AD and Microsoft accounts, Azure AD B2C, and permission/consent concepts. Overview Implementing Microsoft Identity Working with Microsoft Graph Determining workload platform targets Integration Points, including Microsoft Teams, Office Add-ins, and SharePoint Framework This course covers five central elements of Microsoft 365 platform ? implementing Microsoft Identity, working with Microsoft Graph, extending and customizing SharePoint, extending Teams, and extending Office. In this course, students will learn how to implement Microsoft Identity and work with Microsoft Graph. Students will also gain the knowledge on UI elements (including Adaptive Cards and UI Fabric), Integration Points (including Microsoft Teams, Office Add-ins, SharePoint Framework, Actionable Messages), and determining workload platform targets. In implementing Microsoft Identity, students will learn to implement Microsoft identity including registering an application, implanting authentication, configuring permissions to consume an API, and creating a service to access Microsoft Graph. In working with Microsoft Graph, students will learn how to access user data, explore query parameters, manage a group lifecycle, access files, and optimize network traffic using Microsoft Graph. In extending and customizing SharePoint, students will learn about SharePoint Framework web parts, extensions, and how to package and deploy a SPFx solution. In extending Teams, students will look at the components of a Teams App, work with webhooks, tabs, and conversational bots. In extending Office, students work with Office Add-ins, task pane add-ins, JavaScript APIs, Office UI Fabric, and actionable messages with adaptive cards. Implement Microsoft Identity Microsoft Identity platform Register an Application Implement Authentication Configure Permissions to consume an API Implement Authorization to consume an API Implement Authorization in an API Create a Service to access Microsoft Graph Work with Microsoft Graph What is Microsoft Graph Access user data from Microsoft Graph Data usage with query parameters Manage a group lifecycle on Microsoft Graph Access files with Microsoft Graph Optimize network traffic Extend and Customize SharePoint SharePoint Framework web parts SharePoint Framework extensions Package and deploy a SPFx solution Consumption of Microsoft Graph Consumption of 3rd party APIs secured with Azure AD from within SPFx Web Parts as Teams Tabs Branding and theming in SharePoint Extend Teams Microsoft Teams App Webhooks in Microsoft Teams Tabs in Microsoft Teams Messaging extensions in Microsoft Teams Conversational bots in Microsoft Teams Extend Office Office Add-ins Office JS APIs Customization of Add-ins Testing, debugging, and deployment options Actionable message Additional course details: Nexus Humans MS-600T00 Building Applications and Solutions with Microsoft 365 Core Services 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 MS-600T00 Building Applications and Solutions with Microsoft 365 Core Services 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 geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 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 Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 5 Days 30 CPD hours This course is intended for Data center administrators Data center engineers Systems engineers Server administrators Network managers Cisco integrators and partners Data center designers Technical solutions architects Network architects Overview After taking this course, you should be able to: Describe the foundations of data center networking Describe Cisco Nexus products and explain the basic Cisco NX-OS functionalities and tools Describe Layer 3 first-hop redundancy Describe Cisco FEX connectivity Describe Ethernet port channels and vPCs Introduce switch virtualization, machine virtualization, and describe network virtualization Compare storage connectivity options in the data center Describe Fibre Channel communication between the initiator server and the target storage Describe Fibre Channel zone types and their uses Describe NPV and NPIV Describe data center Ethernet enhancements that provide a lossless fabric Describe FCoE Describe data center server connectivity Describe Cisco UCS Manager Describe the purpose and advantages of APIs Describe Cisco ACI Describe the basic concepts of cloud computing The Understanding Cisco Data Center Foundations (DCFNDU) v1.1 course helps you prepare for entry-level data center roles. In this course, you will learn the foundational knowledge and skills you need to configure Cisco© data center technologies including networking, virtualization, storage area networking, and unified computing. You will get an introduction to Cisco Application Centric Infrastructure (Cisco ACI), automation and cloud computing. You will get hands-on experience with configuring features on Cisco Nexus Operating System (Cisco NX-OS) and Cisco Unified Computing System (Cisco UCS). This course does not lead directly to a certification exam, but it does cover foundational knowledge that can help you prepare for several CCNP and other professional-level data center courses and exams. Describing the Data Center Network Architectures Cisco Data Center Architecture Overview Three-Tier Network: Core, Aggregation, and Access Spine-and-Leaf Network Two-Tier Storage Network Describing the Cisco Nexus Family and Cisco NX-OS Software Cisco Nexus Data Center Product Overview Cisco NX-OS Software Architecture Cisco NX-OS Software CLI Tools Cisco NX-OS Virtual Routing and Forwarding Describing Layer 3 First-Hop Redundancy Default Gateway Redundancy Hot Standby Router Protocol Virtual Router Redundancy Protocol Gateway Load Balancing Protocol Describing Cisco FEX Server Deployment Models Cisco FEX Technology Cisco FEX Traffic Forwarding Cisco Adapter FEX Describing Port Channels and vPCs Ethernet Port Channels Virtual Port Channels Supported vPC Topologies Describing Switch Virtualization Cisco Nexus Switch Basic Components Virtual Routing and Forwarding Cisco Nexus 7000 VDCs VDC Types VDC Resource Allocation VDC Management Describing Machine Virtualization Virtual Machines Hypervisor VM Manager Describing Network Virtualization Overlay Network Protocols VXLAN Overlay VXLAN BGP EVPN Control Plane VXLAN Data Plane Cisco Nexus 1000VE Series Virtual Switch VMware vSphere Virtual Switches Introducing Basic Data Center Storage Concepts Storage Connectivity Options in the Data Center Fibre Channel Storage Networking VSAN Configuration and Verification Describing Fibre Channel Communication Between the Initiator Server and the Target Storage Fibre Channel Layered Model FLOGI Process Fibre Channel Flow Control Describing Fibre Channel Zone Types and Their Uses Fibre Channel Zoning Zoning Configuration Zoning Management Describing Cisco NPV Mode and NPIV Cisco NPV Mode NPIV Mode Describing Data Center Ethernet Enhancements IEEE Data Center Bridging Priority Flow Control Enhanced Transmission Selection DCBX Protocol Congestion Notification Describing FCoE Cisco Unified Fabric FCoE Architecture FCoE Initialization Protocol FCoE Adapters Describing Cisco UCS Components Physical Cisco UCS Components Cisco Fabric Interconnect Product Overview Cisco IOM Product Overview Cisco UCS Mini Cisco IMC Supervisor Cisco Intersight Describing Cisco UCS Manager Cisco UCS Manager Overview Identity and Resource Pools for Hardware Abstraction Service Profiles and Service Profile Templates Cisco UCS Central Overview Cisco HyperFlex Overview Using APIs Common Programmability Protocols and Methods How to Choose Models and Processes Describing Cisco ACI Cisco ACI Overview Multitier Applications in Cisco ACI Cisco ACI Features VXLAN in Cisco ACI Unicast Traffic in Cisco ACI Multicast Traffic in Cisco ACI Cisco ACI Programmability Common Programming Tools and Orchestration Options Describing Cloud Computing Cloud Computing Overview Cloud Deployment Models Cloud Computing Services Lab outline Explore the Cisco NX-OS CLI Explore Topology Discovery Configure HSRP Configure vPCs Configure VRF Explore the VDC Elements Install ESXi and vCenter Configure VSANs Validate FLOGI and FCNS Configure Zoning Configure Unified Ports on a Cisco Nexus Switch and Implement FCoE Explore the Cisco UCS Server Environment Configure a Cisco UCS Service Profile Configure Cisco NX-OS with APIs Explore the Cisco UCS Manager XML API Management Information Tree Explore Cisco ACI

Duration 1 Days 6 CPD hours This course is intended for This course is designed for a non-technical audience and doesn't require any prior coding or technical experience. The handson exercises will be done using pre-built OpenAI tools and interfaces that are user-friendly and easy to use. Overview Working in an interactive learning environment, led by our engaging expert, you will: Get comfortable with the basics of prompt engineering and discover how it can make a difference in various business tasks, such as enhancing customer support, creating content, and fine-tuning sales pitches. Develop the knack for crafting, refining, and perfecting prompts suited to specific business situations by understanding context, user intent, and what makes a prompt great. Learn how to smoothly incorporate prompt engineering solutions into your existing business workflows, including pinpointing the right processes, integrating with your current software, and keeping data privacy and security in check. Become proficient in advanced techniques and best practices in prompt engineering, like making use of APIs, customizing language models, and collaborating with your teammates across different departments. Keep up with the latest developments in prompt engineering and be ready to adapt to changing business needs and trends, ensuring that you stay relevant and continue to grow in the dynamic business world. Prompt engineering is the process of designing and refining input prompts to get desired output from advanced language models, such as OpenAI Codex or GPT-4. It involves creating effective questions or statements that guide the AI model to generate useful responses for a specific task or purpose, like enhancing customer support, generating content, and fine-tuning sales pitches, making it an essential skill set for a wide range of business applications. Quick Start to Prompt Engineering for Everyday Business Users is a one-day, workshop style hands-on course that where you'll learn how to create effective prompts, integrate prompt engineering solutions into existing workflows, and uncover advanced techniques and best practices. Guided by our engaging, expert instructor, you?ll experiment with innovative tools and develop practical skills that can be immediately applied to a variety of projects. Whether you're aiming to enhance customer interactions, simplify content creation, or refine internal communication, this immersive learning experience will equip you with the knowledge to make a meaningful impact on your organization. Introduction to Prompt Engineering Understand the fundamentals of prompt engineering and its applications in the business world. What is prompt engineering? Importance of prompt engineering in business Key concepts and terminology Examples of prompt engineering in business scenarios Overview of popular prompt engineering tools (e.g., OpenAI Codex, GPT-4) Activity: Hands-on exploration of prompt engineering tools: Participants will engage in a fun scavenger hunt activity, where they will experiment with different prompt engineering tools to answer a set of questions. Developing Effective Prompts Learn how to create and refine prompts for a variety of business applications. Anatomy of a good prompt Understanding context and user intent Techniques for prompt iteration and optimization Generating specific and creative responses Handling sensitive information and biases Activity: Prompt development workshop: Participants will practice developing and refining prompts in a collaborative, game-like environment, where they will compete to create the most effective prompts for given business scenarios. Integrating Prompt Engineering into Business Processes Discover how to incorporate prompt engineering solutions into existing workflows. Identifying business processes that can benefit from prompt engineering Integrating prompt engineering with existing software and tools Evaluating the success and impact of prompt engineering solutions Ensuring data privacy and security Scaling prompt engineering solutions across an organization Activity: Business process integration simulation: Participants will work in teams to create a plan for integrating a prompt engineering solution into a simulated business process, with a focus on creativity and practicality. Advanced Techniques and Best Practices Gain insights into advanced techniques and best practices for prompt engineering in a business context. Leveraging APIs for prompt engineering Customizing and fine-tuning language models Adapting to changing business requirements and trends Collaborating with cross-functional teams Staying up-to-date with prompt engineering advancements Activity: Advanced prompt engineering challenge: Participants will take part in a friendly competition, using advanced techniques to solve complex business-related prompt engineering challenges. Additional course details: Nexus Humans QuickStart to Prompt Engineering for Everyday Business Users (TTAI2009) 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 QuickStart to Prompt Engineering for Everyday Business Users (TTAI2009) 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 5 Days 30 CPD hours This course is intended for This course will help you: Prepare for entry-level job roles in the high-demand area of data center environments Prepare for courses that support the Cisco Certified Network Professional Data Center certification exams Gain knowledge and hands-on skills through Cisco's unique combination of lessons and hands-on practice using enterprise-grade Cisco learning technologies, data center equipment, and software Overview After taking this course, you should be able to: Describe the foundations of data center networking Describe Cisco Nexus products and explain the basic Cisco NX-OS functionalities and tools Describe Layer 3 first-hop redundancy Describe Cisco Fabric Extender (FEX) connectivity Describe Ethernet port channels and virtual port channel (VPCs) Introduce switch virtualization, machine virtualization, and network virtualization Compare storage connectivity options in the data center Describe Fibre Channel communication between the initiator server and the target storage Describe Fibre Channel zone types and their uses Describe N-Port Virtualization (NPV) and N-Port Identifier Virtualization (NPIV) Describe data center Ethernet enhancements that provide a lossless fabric Describe Fibre Channel over Ethernet FCoE Describe data center server connectivity Describe Cisco UCS Manager Describe the purpose and advantages of APIs Describe Cisco ACI Describe the basic concepts of cloud computing The Understanding Cisco Data Center Foundations (DCFNDU) v1.0 course helps you prepare for entry-level data center roles. In this course, you will learn the foundational knowledge and skills you need to configure Cisco© data center technologies including: networking, virtualization, storage area networking, and unified computing. You will get an introduction to Cisco Application Centric Infrastructure (Cisco ACI), automation and cloud computing. You will get hands-on experience with configuring features on Cisco Nexus Operating System (Cisco NX-OS) and Cisco Unified Computing System (Cisco UCS). This course also earns you 30 Continuing Education (CE) credits towards recertification. Describing the Data Center Network Architectures Cisco Data Center Architecture Overview Three-Tier Network: Core, Aggregation, and Access Spine-and-Leaf Network Two-Tier Storage Network Describing the Cisco Nexus Family and Cisco NX-OS Software Cisco Nexus Data Center Product Overview Cisco NX-OS Software Architecture Cisco NX-OS Software CLI Tools Cisco NX-OS Virtual Routing and Forwarding Describing Layer 3 First-Hop Redundancy Default Gateway Redundancy Hot Standby Router Protocol Virtual Router Redundancy Protocol Gateway Load Balancing Protocol Describing Cisco FEX Server Deployment Models Cisco FEX Technology Cisco FEX Traffic Forwarding Cisco Adapter FEX Describing Port Channels and VPCs Ethernet Port Channels Virtual Port Channels Supported VPC Topologies Describing Switch Virtualization Cisco Nexus Switch Basic Components Virtual Routing and Forwarding Cisco Nexus 7000 Virtual Device Contexts (VDCs) VDC Types VDC Resource Allocation VDC Management Describing Machine Virtualization Virtual Machines Hypervisor VM Manager Describing Network Virtualization Overlay Network Protocols Virtual Extensible LAN (VXLAN) Overlay VXLAN Border Gateway Protocol (BGP) Ethernet VPN (EVPN) Control Plane VXLAN Data Plane Cisco Nexus 1000VE Series Virtual Switch VMware vSphere Virtual Switches Introducing Basic Data Center Storage Concepts Storage Connectivity Options in the Data Center Fibre Channel Storage Networking Virtual Storage Area Network (VSAN) Configuration and Verification Describing Fibre Channel Communication Between the Initiator Server and the Target Storage Fibre Channel Layered Model Fabric Login (FLOGI) Process Fibre Channel Flow Control Describing Fibre Channel Zone Types and Their Uses Fibre Channel Zoning Zoning Configuration Zoning Management Describing Cisco NPV Mode and NPIV Cisco NPV Mode NPIV Mode Describing Data Center Ethernet Enhancements Institute of Electrical and Electronic Engineers (IEEE) Data Center Bridging Priority Flow Control Enhanced Transmission Selection Data Center Bridging Exchange (DCBX) Protocol Congestion Notification Describing FCoE Cisco Unified Fabric FCoE Architecture FCoE Initialization Protocol FCoE Adapters Describing Cisco UCS Components Physical Cisco UCS Components Cisco Fabric Interconnect Product Overview Cisco I/O Module (IOM) Product Overview Cisco UCS Mini Cisco Integrated Management Controller (IMC) Supervisor Cisco Intersight? Describing Cisco UCS Manager Cisco UCS Manager Overview Identity and Resource Pools for Hardware Abstraction Service Profiles and Service Profile Templates Cisco UCS Central Overview Cisco HyperFlex? Overview Using APIs Common Programmability Protocols and Methods How to Choose Models and Processes Describing Cisco ACI Cisco ACI Overview Multitier Applications in Cisco ACI Cisco ACI Features VXLAN in Cisco ACI Unicast Traffic in Cisco ACI Multicast Traffic in Cisco ACI Cisco ACI Programmability Common Programming Tools and Orchestration Options Describing Cloud Computing Cloud Computing Overview Cloud Deployment Models Cloud Computing Services Additional course details: Nexus Humans Cisco Understanding Cisco Data Center Foundations v1.1 (DCFNDU) 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 Understanding Cisco Data Center Foundations v1.1 (DCFNDU) 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 5 Days 30 CPD hours This course is intended for This course is recommended for application or system support personnel or anyone who needs an overview of the capabilities of HP UD 10.1x. Overview Upon successful completion of this course, you should be able to: Identify the evolution of the Configuration Management System (CMS) from the Configuration Management Database (CMDB), the need for CMS, and working of CMS Define the concept of Universal Discovery (UD) and be able to identify its applications and types Identify the architecture and deployment process of UD, and the installation and setup of the data flow probe and its log files Define the concepts of discovery adapters, discovery jobs, discovery scripts, and other discovery resources Use the Universal Discovery module to perform application dependency mapping discovery and inventory discovery Use zone-based discover method and discovery activities Design and build agentless and agent-based discoveries, and use inventory scanners Work with the Software Library Viewer and various inventory tools Use the application recognition process, and discovery rules HP This course is designed to provide an understanding of the fundamental concepts and applications of the HP Universal Discovery (UD) solution. This course is designed to provide an understanding of the fundamental concepts and applications of the HP Universal Discovery (UD) solution.

Duration 1 Days 6 CPD hours Overview The purpose of this document is to provide the learning outcomes for the course and the assessment criteria. It also provides an overview of the examination design in terms of the types of questions asked.Starting with Chapter 2, Digital Transformation, the BL 1 & 2 (for Bloom's Taxonomy 1 & 2) provides the number of questions that will appear on the exam. This course is targeted at IT and Cybersecurity professionals looking to become certified on how to operationalize the NIST Cybersecurity Framework (NCSP) across an enterprise and its supply chain. Digital Transformation Explain what it means to ?become digital.? Discuss the difference between industrial and digital era enterprises. Explain how cybersecurity supports an organization?s digital transformation. Understanding cyber Risks Explain the cyber risk equation. Identify and explain each component of the cyber risk equation. Describe the basics of a risk assessment. NIST Cybersecurity Framework Fundamentals9 Explain the genesis of the NIST-CSF. List and describe the components of the NIST-CSF. Describe each of the NIST-CSF?s objectives. Core Functions, Categories & Subcategories Understand and explain the a.Core Functions b.Framework Categories c.Informative References. Implementation Tiers & Profiles Understand and explain Implementation Tier terms and their use. Understand and explain each Implementation Tier. Understand and describe the three risk categories Understand and explain Profiles and their use a.Current b.Target Understand and describe the use of Profiles when a.Determining gaps b.Identify & prioritize focus areas Cybersecurity Improvement Understand and explain how an organization can approach the adoption and adaptation of the NIST-CSF Understand and describe how to implement cybersecurity controls using an incremental improvement approach. Understand and describe CIIS as a practice within an organization.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for professionals in the following job roles: Network security engineer CCNP Security candidate Channel Partner Overview After taking this course, you should be able to: Introduce site-to-site VPN options available on Cisco router and firewalls Introduce remote access VPN options available on Cisco router and firewalls Review site-to-site and remote access VPN design options Review troubleshooting processes for various VPN options available on Cisco router and firewalls The Implementing Secure Solutions with Virtual Private Networks (SVPN) v1.0 course teaches you how to implement, configure, monitor, and support enterprise Virtual Private Network (VPN) solutions. Through a combination of lessons and hands-on experiences you will acquire the knowledge and skills to deploy and troubleshoot traditional Internet Protocol Security (IPsec), Dynamic Multipoint Virtual Private Network (DMVPN), FlexVPN, and remote access VPN to create secure and encrypted data, remote accessibility, and increased privacy. Course Outline Introducing VPN Technology Fundamentals Implementing Site-to-Site VPN Solutions Implementing Cisco Internetwork Operating System (Cisco IOS©) Site-to-Site FlexVPN Solutions Implement Cisco IOS Group Encrypted Transport (GET) VPN Solutions Implementing Cisco AnyConnect VPNs Implementing Clientless VPNs Lab Outline Explore IPsec Technologies Implement and Verify Cisco IOS Point-to-Point VPN Implement and Verify Cisco Adaptive Security Appliance (ASA) Point-to-Point VPN Implement and Verify Cisco IOS Virtual Tunnel Interface (VTI) VPN Implement and Verify Dynamic Multipoint VPN (DMVPN) Troubleshoot DMVPN Implement and Verify FlexVPN with Smart Defaults Implement and Verify Point-to-Point FlexVPN Implement and Verify Hub and Spoke FlexVPN Implement and Verify Spoke-to-Spoke FlexVPN Troubleshoot Cisco IOS FlexVPN Implement and Verify AnyConnect Transport Layer Security (TLS) VPN on ASA Implement and Verify Advanced Authentication, Authorization, and Accounting (AAA) on Cisco AnyConnect VPN Implement and Verify Clientless VPN on ASA

Duration 3 Days 18 CPD hours This course is intended for This intermediate course is for technical specialists, support/services individuals, individuals implementing LPARs for Power Systems with IBM i. This course is also appropriate for IBM Business Partners who sell and plan for consolidated systems. Overview Describe the PowerVM features Identify, describe, and locate hardware components in the Power Systems, Flex System and Power Blade models Identify virtualization options available, reliability features and single points of failure for Power Systems Implement System Planning Tool in design or update your own system Explain Simultaneous Multithreading (SMT) Describe memory allocation and affinity concepts Describe and configure a partition profile, including shared processors: Capped Uncapped Virtual processors Weighting factor Shared Processor Pools Explain virtual I/O: Serial, Ethernet and SCSI Understand and implement: IBM i installation through NFS, image virtual repository in VIOS, and assigning VSCSI disks to partitions in VIOS Understand base characteristics of IVM and how to implement IBM i on Power Blades Describe the NPIV PowerVM feature, how to configure virtual Fiber Channel adapters on the Virtual I/O Server and client partitions Discuss how to use the HMC GUI and commands to work with the World Wide Port Name (WWPN) pairs Identify commands used to examine the NPIV configuration In this course you begin with an overview of LPAR on Power Systems, followed with more detailed information on configuration planning and implementation using hands-on exercises to create and implement logical partitions. PowerVM for IBM i - Overview . Power Systems for IBM i . Introduction to System Planning Tool . Virtualization of IBM i - Processor, Memory, Processor Pools . Virtualization of IBM i - Virtual I/O . Virtualization of IBM i - Installation from NFS or VIOS repository . Implementation of IBM i on Power Blades . PowerVM for IBM i - NPIV .