5814 Computing courses delivered Online

Description: VMware vSphere 5.5 is a vital component of the VMware vCloud 5.5 Suite. Currently, it is the industry-leading virtualization technology platform accelerating the shift to cloud computing. The Ultimate Bootcamp has become known to be the most comprehensive VMware training and certification course in the industry. This VMware Ultimate Bootcamp vSphere 5.5 covers everything you need to know about the VMware vSphere 5.5 Ultimate Bootcamp. You will learn about virtualization, planning and installing ESXi, using tools to administer a VMware environment, vCenter Server 5.5 and licensing, configuring networking, configuring storage, VM creation, configuration, and snapshots, security and permissions, server and VM monitoring, advanced ESXi and vCenter server management, patching and upgrading ESXi, and disaster recovery and backup.  You can join this course to Experience the comprehensive content included in multiple VMware vSphere. Assessment & Certification: To achieve a formal qualification, you are required to book an official exam separately with the relevant awarding bodies. However, you will be able to order a course completion CPD Certificate by paying an additional fee. Hardcopy Certificate by post - £19 Soft copy PDF via email - £10 Requirements Our VMware Ultimate Bootcamp vSphere 5.5 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Series Introduction and Methodology Series Introduction and Methodology FREE 00:08:00 Virtualization Overview VMware Virtualization 00:14:00 Other VMware & 3rd Party Virtualization Technologies 00:09:00 Planning and Installing ESXi Planning the ESXi Deployment 00:12:00 vSphere 5.x Deployment Guidelines 00:08:00 vSphere Hypervisor (ESXi) Installation 00:13:00 Configuring Hostname Resolution and NTP999 00:01:00 Troubleshooting ESXi 00:07:00 Troubleshooting ESXi Overview of 3rd Party Tools 00:08:00 ESXi Management 00:27:00 Linux Command Review 00:04:00 Troubleshooting the vSphere Client (VIC) 00:13:00 vCenter Server 5.5 and Licensing Licensing 00:09:00 vCenter Server Installation 00:37:00 vSphere Web Client 00:05:00 vCenter Server Inventory 00:25:00 Managing vCenter Server 00:14:00 Planning vCenter Server Deployment 00:05:00 Troubleshooting vCenter Server and Database 00:10:00 Configuring Networking Creating & Modifying Virtual Networks 00:52:00 vSphere Distributed Switches 00:39:00 Creating & Modifying Virtual Networks Using CLI 00:20:00 Configuring Storage Storage Concepts 00:28:00 iSCSI Storage (GUI & Command Line) 00:30:00 Fibre Channel Storage 00:09:00 VMFS Datastores (GUI & Command Line) 00:37:00 NAS Storage and NFS Datastores (GUI & Command Line) 00:18:00 Raw Device Mapping (RDM) 00:06:00 Solid State Disks (SSD) 00:07:00 Storage & Management Solutions 00:02:00 VM Creation, Configuration, and Snapshots Create a VM 00:48:00 Create Multiple VMs, Templates & Clones 00:13:00 Virtual Appliances 00:28:00 Configuration and Use of vApps 00:03:00 VMware Converter (P2V - V2V) 00:26:00 Manage VMs 00:51:00 Virtual Machine Startup/Shutdown 00:07:00 Virtual Machine Snapshots 00:14:00 Virtual Machine Troubleshooting & Best Practices 00:24:00 Security and Permissions Controlling User Access and Passwords 00:27:00 ESXi Active Directory (AD) Integration 00:11:00 Managing Firewalls & Certificates 00:09:00 vCloud VMsafe and vShield 00:05:00 Server and VM Monitoring Optimizing Resources 00:32:00 Resource Pools 00:12:00 Latency Sensitive Applications 00:03:00 Performance Monitoring 00:55:00 Configuring Alarms 00:20:00 ESXi & vCenter Logs 00:22:00 Advanced ESXi and vCenter Server Management Storage Views & Topology Maps 00:11:00 Storage vMotion 00:19:00 Configuring vMotion 00:13:00 Enhanced vMotion 00:12:00 Distributed Resource Scheduler (DRS) Cluster 00:29:00 Profile Driven Storage, Datastore Clusters & Storage DRS (SDRS) 00:27:00 DRS Cluster Monitoring 00:23:00 Host Profiles 00:15:00 Linked Mode Group of vCenter Servers 00:04:00 vSphere Storage Appliance (VSA) 00:04:00 VMware Virtual SAN (VSAN) 00:03:00 Patching and Upgrading ESXi Patching ESXi Standalone Hosts 00:02:00 Patching the vCenter Environment 00:30:00 Upgrades and Migrations 00:24:00 Disaster Recovery and Backup vSphere Replication 5.5 00:07:00 Site Recovery Manager (SRM) 00:07:00 High Availability (HA) 00:40:00 VM Fault Tolerance 00:06:00 Microsoft Clustering 00:03:00 Backup Strategies 00:02:00 VMware Data Protection 00:28:00 Third Party Backups 00:10:00 Mock Exam Mock Exam- VMware Ultimate Bootcamp vSphere 5.5 00:20:00 Final Exam Final Exam- VMware Ultimate Bootcamp vSphere 5.5 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 5 Days 30 CPD hours The iPhone combines technologies of smartphones and personal computing. With a multitouch screen, built-in accelerometer and virtual keyboard, the iPhone also requires the mobile application developer to adopt a vastly different software design philosophy. With over a billion mobile apps sold, iPhone Programming is a critical part of the future of mobile technology. This five day course teaches the attendee all aspects of iOS mobile app development Introduction and Setup Joining the Apple iOS Developer Program Installing Xcode and the iOS SDK A Guided Tour of Xcode An Introduction to Xcode Playgrounds Swift Programming Language Swift Data Types, Constants, and Variables Swift Operators and Expressions Swift Flow Control The Swift Switch Statement Overview of Swift Functions The Basics of Object Oriented Programming in Swift Swift Subclassing and Extensions Arrays and Dictionary Collections in Swift Understanding Error Handling in Swift Views, Layouts, and Storyboards Creating an Interactive iOS App Auto Layout in iOS Working with iOS Auto Layout Constraints in Interface Builder Implementing iOS Auto Layout Constraints in Code Implementing Cross-Hierarchy Auto Layout Constraints in iOS Understanding the iOS Auto Layout Visual Format Language Using Size Classes to Design Adaptable Universal iOS User Interfaces Using Storyboards in Xcode Organizing Scenes over Multiple Xcode Storyboard Files Using Xcode Storyboards to Create an iOS Tab Bar Application Working with the iOS Stack View Class iOS Stack View Tutorial iOS Split View Master-Detail Example Multitasking in iOS Implementing a Page based iOS Application using UIPageViewController iOS UIPageViewController Application Data Storage with Files, iCloud, and Databases Working with Directories in Swift on iOS Working with Files in Swift on iOS iOS Directory Handling and File I/O in Swift Preparing an iOS App to use iCloud Storage Managing Files using the iOS UIDocument Class Using iCloud Storage in an iOS Application Synchronizing iOS Key-Value Data using iCloud iOS Database Implementation using SQLite SQLite based iOS Application using Swift and FMDB Working with iOS Databases using Core Data iOS Core Data Introduction to CloudKit Data Storage on iOS iOS CloudKit Example iOS CloudKit Subscription Example Touch, Taps, and Gestures An Overview of iOS Multitouch, Taps and Gestures iOS Touch, Multitouch and Tap Application Detecting iOS Touch Screen Gesture Motions Identifying Gestures using iOS Gesture Recognizers iOS Gesture Recognition iOS 3D Touch Force Handling iOS 3D Touch Quick Actions iOS 3D Touch Peek and Pop Advanced View Options Basic iOS Animation using Core Animation iOS UIKit Dynamics ? An Overview Introduction to iOS Sprite Kit Programming iOS Sprite Kit Level Editor Game iOS Sprite Kit Collision Handling Extensions Introduction to Extensions in iOS iOS Today Extension Widget Creating an iOS Photo Editing Extension Creating an iOS Action Extension Receiving Data from an iOS Action Extension Multimedia, Facebook, and Twitter Accessing the iOS Camera and Photo Library iOS Camera Application iOS Video Playback using AVPlayer and AVPlayerViewController iOS Multitasking Picture in Picture Tutorial Playing Audio on iOS using AVAudioPlayer Recording Audio on iOS with AVAudioRecorder The App Store Preparing and Submitting an iOS Application to the App Store Additional course details: Nexus Humans iPhone Mobile App Development 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 iPhone Mobile App Development 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 1 Days 6 CPD hours This course is intended for This course benefits cloud consumers and administrators of public cloud, private cloud, and hybrid cloud infrastructures: Security architects Cloud architects Network engineers and administrators System engineers and adminstrators Cloud security consumers Cloud application administrators IT managers Line of business managers Cisco integrators and partners Overview After taking this course, you should be able to: Describe public, private, and hybrid cloud models, concepts, and design Explain the concepts and components for securing cloud environments Describe Cisco security offerings for Amazon Web Services (AWS) Define methods to secure SaaS application usage The Introducing Cisco Cloud Consumer Security (SECICC) v1.0 course gives you a technical overview of basic concepts and components of the cloud, and the Cisco© solutions used to provide comprehensive security of your cloud-based environment. In this primarily lecture-based course, you?ll learn the basics from a cloud consumer perspective including securing cloud and Software as a Service (SaaS) application environments. This introductory course provides insights on using Cisco Stealthwatch? Cloud, Cisco CloudLock, Cisco Umbrella? and more to protect the user when using cloud-based applications. Introducing the Cloud Describe the Evolution of Cloud Computing Explain Cloud Service Models Explore Cloud Deployment Models Introducing Securing the Cloud Describe the Cisco Threat-Centric Approach to Network Security Describe Cloud Physical Environment Security Describe Cloud Network Infrastructure Security Explain Application Security Explore Cloud Management and API Security Describe Cisco Cloud-Based Security Solutions Describe Network Functions Virtualization (NFV), Virtual Network Function (VNF), and Secure Agile Exchange (SAE) Describe Cisco CloudCenter for MultiCloud Management Describe Cisco Stealthwatch Describing Cloud Security Solutions Using AWS Identify AWS Security Offerings Identify Cisco Security Solutions in AWS Introducing Security in an SaaS Environment Describe SaaS Applications Describe SaaS Security Challenges Explain Cloud Access Security Broker Describe Cisco CloudLock Describe OAuth and OAuth Attacks Describe Cisco Advanced Malware Protection for Endpoints Describe Cisco Cloud Email Security Describe Cisco Umbrella Lab outline Explore Cisco Stealthwatch Cloud Explore Stealthwatch Cloud Alerts Settings, Watchlists, and Sensors Explore Cisco Security Solutions in AWS Marketplace Explore the Cisco CloudLock Dashboard and User Security Explore Cisco CloudLock Application and Data Security Explore Cisco Advanced Malware Protection (AMP) Endpoints Explore the Cisco Umbrella Roaming Client Additional course details: Nexus Humans Cisco Introducing Cisco Cloud Consumer Security v1.0 (SECICC) 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 Introducing Cisco Cloud Consumer Security v1.0 (SECICC) 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.

Get ready for an exceptional online learning experience with the Coding (C++, Python, JavaScript & IT) bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. This Coding (C++, Python, JavaScript & IT) is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Coding package has something for everyone. As part of the Coding (C++, Python, JavaScript & IT) package, you will receive complimentary PDF certificates for all courses in Coding bundle at no extra cost. Equip yourself with the Coding bundle to confidently navigate your career path or personal development journey. Enroll in our Coding bundle today and start growing your career! This Coding Bundle Comprises the Following CPD Accredited Courses: Course 01: Introduction to Coding With HTML, CSS, & Javascript Course 02: C++ Development: The Complete Coding Guide Course 03: Python Programming: Beginner To Expert Course 04: Learn Ethical Hacking From A-Z: Beginner To Expert Course 05: Bash Scripting, Linux and Shell Programming Course 06: JavaScript Project - Game Development with JS Course 07: R Programming for Data Science Course 08: Secure Programming of Web Applications Course 09: Advanced Diploma in PHP Web Development with MySQL, GitHub & Heroku Course 10: The Complete Front-End Web Development Course! Course 11: The Complete MySQL Server from Scratch: Bootcamp Course 12: Cyber Security Awareness Training Course 13: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 14: CompTIA A+ (220-1001) Course 15: Building Your Own Computer Course 16: Computer Networks Security from Scratch to Advanced Course 17: IT Administration and Networking Course 18: Encryption Course 19: Advance Windows 10 Troubleshooting for IT HelpDesk Course 20: Microsoft Excel Complete Course Learning Outcome: By completing the Coding (C++, Python, JavaScript & IT) course, you will: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the Coding Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with the Coding Bundle. Build a strong knowledge base in your chosen course via the Coding Bundle. Benefit from the flexibility and convenience of online learning. With the Coding package, validate your learning with a CPD certificate. Each course in the Coding (C++, Python, JavaScript & IT) bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with Coding (C++, Python, JavaScript & IT), a rich anthology of 15 diverse courses. Each course in the Coding bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisCoding (C++, Python, JavaScript & IT) bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Coding (C++, Python, JavaScript & IT) bundle offers you the flexibility and convenience to learn at your own pace. Make the Coding package your trusted companion in your lifelong learning journey. CPD 215 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Coding (C++, Python, JavaScript & IT) bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Requirements Without any formal requirements, you can delightfully enrol this Coding (C++, Python, JavaScript & IT) course. Career path Our Coding (C++, Python, JavaScript & IT) bundle will prepare you for a range of careers, including: Software Developer Full-Stack Web Developer IT Solutions Architect Data Analyst Systems Programmer Application Developer Software Engineer Game Developer Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Thinking about learning more about how Artificial Intelligence can help in a business? The BCS Foundation Award - How AI Can Support Your Organisation explores the evolution of AI from its inception to present day, and identify potential future AI opportunities which exist to drive organisational strategy at all levels. It considers how AI can make improvements to processes, products and services, enabling an organisation to gain a competitive edge within the market, and the benefits and potential implications it has for the human workforce. You will learn the evolution of AI, an understanding of the shape and structure of organisations, an understanding of the role of AI in an organisation and an understanding of the art of the possible.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for technology leaders, solution developers, project managers, organizational decision makers, and other individuals seeking to demonstrate a vendor-neutral, cross-industry understanding of ethics in emerging data-driven technologies, such as AI, robotics, IoT, and data science. This course is also designed for professionals who want to pursue the CertNexus Certification Exam CET-110: Certified Ethical Emerging Technologies. Overview In this course, you will incorporate ethics into data-driven technologies such as AI, IoT, and data science. You will: Describe general concepts, theories, and challenges related to ethics and emerging technologies. Identify ethical risks. Practice ethical reasoning. Identify and mitigate safety and security risks. Identify and mitigate privacy risks. Identify and mitigate fairness and bias risks. Identify and mitigate transparency and explainability risks. Identify and mitigate accountability risks. Build an ethical organization. Develop ethical systems in technology-focused organizations. Mutually reinforcing innovations in computing and engineering are catapulting advances in technological production. From blockchain and artificial intelligence (AI) to gene editing and the Internet of Things (IoT), these advances come with tremendous opportunities for improvement in productivity, efficiency, and human well-being. But as scandals increasingly demonstrate, these advances also introduce new and serious risks of conflict and harm.Technology professionals now face growing demands to identify and mitigate ethical risks to human rights and the environment, as well as to navigate ethical tradeoffs between qualities such as privacy and accuracy, fairness and utility, and safety and accountability. This course provides the tools to identify and manage common ethical risks in the development of emerging data-driven technologies. It distills ethical theory, public regulations, and industry best practices into concrete skills and guidelines needed for the responsible development of digital products and services. By following the course's practical, problems-based approach, learners will become adept at applying theories, principles, frameworks, and techniques in their own roles and organizations. Introduction to Ethics of Emerging Technologies Topic A: What?s at Stake Topic B: Ethics and Why It Matters Topic C: Ethical Decision-Making in Practice Topic D: Causes of Ethical Failures Identifying Ethical Risks Topic A: Ethical Reasons Topic B: Stumbling Blocks for Ethical Reasoning Topic C: Identify Ethical Risks in Product Development Topic D: Tools for Identifying Ethical Risks Topic E: Use Regulations, Standards, and Human Rights to Identify Ethical Risks Ethical Reasoning in Practice Topic A: Ethical Theories Topic B: Use Ethical Decision-Making Frameworks Topic C: Select Options for Action Topic D: Avoid Problems in Ethical Decision-Making Identifying and Mitigating Security Risks Topic A: What Is Security? Topic B: Identify Security Risks Topic C: Security Tradeoffs Topic D: Mitigate Security Risks Identifying and Mitigating Privacy Risks Topic A: What Is Privacy? Topic B: Identify Privacy Risks Topic C: Privacy Tradeoffs Topic D: Mitigate Privacy Risks Identifying and Mitigating Fairness and Bias Risks Topic A: What Are Fairness and Bias? Topic B: Identify Bias Risks Topic C: Fairness Tradeoffs Topic D: Mitigate Bias Risks Identifying and Mitigating Transparency and Explainability Risks Topic A: What Are Transparency and Explainability? Topic B: Identify Transparency and Explainability Risks Topic C: Transparency and Explainability Tradeoffs Topic D: Mitigate Transparency and Explainability Risks Identifying and Mitigating Accountability Risks Topic A: What Is Accountability? Topic B: Identify Accountability Risks Topic C: Accountability Tradeoffs Topic D: Mitigate Accountability Risks Building an Ethical Organization Topic A: What Are Ethical Organizations? Topic B: Organizational Purpose Topic C: Ethics Awareness Topic D: Develop Professional Ethics within Organizations Developing Ethical Systems in Technology-Focused Organizations Topic A: Policy and Compliance Topic B: Metrics and Monitoring Topic C: Communication and Stakeholder Engagement Topic D: Ethical Leadership

This course on Information and Communication Technology (ICT) provides a comprehensive understanding of emerging technologies, input and output devices, storage media, networks, databases, and expert systems. It covers various ICT applications and their impact on society and businesses. Learning Outcomes: Understand the impact of emerging technologies on the field of ICT. Identify and describe different types of input and output devices used in computing. Familiarize with various storage devices and media and their applications. Gain knowledge about computer networks and their configurations. Explore the fundamentals of database systems and their importance in data management. Learn about expert systems and their role in decision-making processes. Discover practical ICT applications and their relevance in various domains. Why buy this ICT: Information and Communication Technology? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the ICT: Information and Communication Technology there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This ICT: Information and Communication Technology course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This ICT: Information and Communication Technology does not require you to have any prior qualifications or experience. You can just enrol and start learning.This ICT: Information and Communication Technology was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This ICT: Information and Communication Technology is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:06:00 What is ICT? 00:05:00 Hardware and Software 00:08:00 Information Processing Cycle 00:05:00 Software Explained 00:06:00 Human-Computer -Interface 00:07:00 Section 02: Impact of Emerging Technologies Introduction-Impact of Emerging Technology 00:01:00 Artificial intelligence 00:03:00 Biometrics 00:03:00 Vision enhancement 00:02:00 Robotics 00:03:00 Quantum cryptography 00:03:00 Computer-assisted translation 00:02:00 3D and holographic imaging 00:03:00 Virtual reality 00:06:00 Section 03: Types of Input Devices Types of Input Devices - Introduction 00:02:00 Manual input 00:07:00 Pointing devices 00:02:00 Inputting Images Devices 00:08:00 Inputting Sound & Music Devices 00:05:00 Direct input systems 00:07:00 Direct Input systems Part-2 00:05:00 Direct Input Systems Part-3 00:06:00 Direct Input Systems devices. Part-4 00:04:00 Sensors 00:05:00 Section 04: Types of Output Devices Types of Input Devices - Introduction 00:02:00 Monitors 00:06:00 Printers 00:08:00 Plotters 00:03:00 3D Printers 00:04:00 Speakers 00:02:00 Control Devices 00:06:00 Section 05: Storage Devices and Media Types of Storage Devices and Media 00:06:00 Magnetic Media 00:06:00 Optical media 00:10:00 Solid-State media 00:04:00 Backups 00:02:00 Section 06: Networks WHAT IS COMPUTER COMMUNICATION? 00:02:00 What is a computer network? 00:07:00 Types of NETWORK- Local Area Network 00:07:00 Wide Area Network 00:07:00 Bluetooth and WI-FI in Networks 00:07:00 Network Hardware 00:03:00 Network Switch 00:05:00 Network Bridge 00:02:00 Networking Hardware Router 00:05:00 Modem 00:04:00 Network Cables 00:03:00 How to set up a small network? 00:07:00 Section 07: Database What is a Database? 00:03:00 Database File 00:04:00 Database Types 00:09:00 Using Database 00:06:00 Data validation and verification 00:10:00 Section 08: Expert Systems What is an expert system? 00:10:00 Section 09: ICT Applications Applications in Banking: ATM, Electronic Fund Transfer 00:04:00 Applications in Banking: Internet Banking Telephone Banking 00:04:00 Applications in Banking: Cheque Clearing 00:05:00 RETAIL INDUSTRY Applications: POS 00:05:00 Retail: Stock Control 00:04:00 Retail: Automatic Reordering of Stock 00:03:00 Assignment Assignment - ICT: Information and Communication Technology 00:00:00

This comprehensive course is designed to prepare you to take and pass the CompTIA A+ Certification Core (220-1102) certification exam. This is the second of a two-course series. To become fully A+ certified, you will need to pass both the 220-1101 and 220-1102 exams.