1190 Installation courses delivered Online

Artificial neural networks (ANNs) are the most powerful machine learning algorithms available today. They are capable of learning complex relationships in data, and they have been used to achieve state-of-the-art results in a wide variety of fields, including image recognition, natural language processing, and speech recognition. The Future of Machine Learning is Here! This Project on Deep Learning - Artificial Neural Network course will teach you how to build and train ANNs from scratch. You will learn about the different components of an ANN, such as the input layer, hidden layers, and output layer. You will also learn about the different activation functions that can be used in ANNs, and you will see how to optimise ANNs for different tasks. In addition to the theoretical concepts, you will also get experience with ANNs. You will work on a project where you will build an ANN to classify images. You will use the TensorFlow library to build your ANN, and you will see how to train your ANN on a dataset of images. By the end of this Project on Deep Learning - Artificial Neural Network course, you will have a deep understanding of ANNs and how to use them. You will be able to build your own ANNs to solve a variety of problems. You will also be able to use the TensorFlow library to build and train ANNs. So what are you waiting for? Enrol in this course today and start learning about the future of machine learning!   Learning Outcomes: Through this comprehensive course, you should be able to: Understand the fundamental concepts of deep learning and artificial neural networks. Install and configure an artificial neural network framework. Preprocess and structure data for optimal model performance. Encode data effectively for neural network training and predictions. Build and deploy artificial neural networks for real-world applications. Address data imbalance challenges and optimise model accuracy.   Who is this course for? This Project on Deep Learning - Artificial Neural Network course is ideal for: Data scientists and machine learning practitioners seeking to expand their knowledge. Software engineers interested in leveraging deep learning techniques. Students pursuing a career in artificial intelligence and machine learning. Professionals looking to enhance their skills in neural network development. Individuals with a passion for exploring advanced machine learning techniques.   Career Path  Our course will prepare you for a range of careers, including: Deep Learning Engineer: £40,000 - £100,000 per year. Machine Learning Researcher: £45,000 - £120,000 per year. Data Scientist: £50,000 - £110,000 per year. Artificial Intelligence Specialist: £55,000 - £130,000 per year. Software Engineer (specialising in AI): £45,000 - £100,000 per year. Research Scientist (Machine Learning): £50,000 - £120,000 per year. AI Consultant: £60,000 - £150,000 per year. Certification After studying the course materials of the Project on Deep Learning - Artificial Neural Network (ANNs) 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. Prerequisites This Project on Deep Learning - Artificial Neural Network (ANNs) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Project on Deep Learning - Artificial Neural Network (ANNs) 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.   Course Curriculum Section 01: Introduction Introduction of Project 00:03:00 Section 02: ANN Installation Setup Environment for ANN 00:11:00 ANN Installation 00:09:00 Section 03: Data Preprocessing Import Libraries and Data Preprocessing 00:11:00 Data Preprocessing 00:07:00 Data Preprocessing Continue 00:10:00 Section 04: Data Encoding Data Exploration 00:10:00 Encoding 00:07:00 Encoding Continue 00:06:00 Preparation of Dataset for Training 00:04:00 Section 05: Steps to Build ANN Steps to Build ANN Part 1 00:06:00 Steps to Build ANN Part 2 00:06:00 Steps to Build ANN Part 3 00:06:00 Steps to Build ANN Part 4 00:09:00 Section 06: Predictions and Imbalance-Learn Predictions 00:11:00 Predictions Continue 00:08:00 Resampling Data with Imbalance-Learn 00:09:00 Resampling Data with Imbalance-Learn Continue 00:08:00

Description: CompTIA or the Computing Technology Industry Association is a non-profit organisation that provides professional certificates for the IT industry. A license from CompTIA will increase your opportunity for career build-up. The CompTIA Certification - Complete Video Course course is the best choice for you if you want to obtain a professional degree in It. The course is taught in several sections and sub-sections. The CompTIA A+ 900 Certification series shows you the current knowledge and skills needed by today's IT professionals including configuring BIOS, motherboard, RAM types, PC installation, networking, etc. Then the CompTIA Network+ Certification provides in-depth information related to networking while the CompTIA Security+ section shows you how to secure your confidential data. Next, CompTIA Healthcare IT deals with the application of IT in the medical industry to provide excellent service to the patients while the CompTIA Linux+ course gives you a complete guide for the Linux Operating system. Finally, the CompTIA Advanced Security Practitioner (CASP) course will help you to know about the enterprise security architecture, security technology and resource technology so that you can determine the root of the security problem and solve the issues. CompTIA provides various certifications based on the different sectors of IT. The purpose of the bundled course is to prepare for those exams and at the same time to help you to gain the practical knowledge related to IT Sector. 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 CompTIA Certification - Complete Video Course 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.

About the course “Quantum Computing for Finance” is an emerging multidisciplinary field of quantum physics, finance, mathematics, and computer science, in which quantum computations are applied to solve complex problems. “Introduction to Quantitative and Computational Finance” provides a basis to step into the world of Quantum Computing for Finance. This introductory course will develop fundamental concepts required for an understanding of quantum algorithms and more advanced topics in computational finance. Through this course, you will learn the basics of derivative products, the Black-Scholes-Merton model for pricing vanilla derivatives, and how to compute the price of exotic options with a computer. This course is designed for all those who wish to develop their skills and start a career in quantitative finance. This course is the first part of the specialised training program: “Quantum Computing for Finance”. What Skills you will learn The fundamentals of derivative products, their types – forwards and options, and their pricing. An understanding of the Black-Scholes-Merton model, hedging and volatility modelling. The computational and modelling techniques for pricing options such as Monte-Carlo simulations and the Finite Difference method. A strong foundation in quantitative and computational skills for modelling and solving complex financial problems using Python programming language. The skills for a career in the finance industry, including quantitative asset management and trading, financial engineering, risk management, and applied research. Course Prerequisites All potential learners should have prior knowledge of the following content areas, either through completion of academic studies or relative professional preparation: Basic calculus (partial derivatives) Probability theory (with an exposure to measure theory if possible) Basic linear algebra (matrix operations) Numerical Python (NumPy essentially) The course contains several Python based programming exercises. We recommend that you install Python on your local system to practice and implement the programs explained throughout the course. For instructions and tutorials for beginners, please click on the following link: Python installation instructions and tutorials for beginners Duration The estimated duration to complete this course is approximately 4 weeks (~3hrs/week). Course assessment To complete the course and earn certification, you must pass all the quizzes at the end of each lesson by scoring 80% or more. Instructors QuantFiQuantFi is a French start-up research firm formed in 2019 with the objective of using the science of quantum computing to provide solutions to the financial services industry. With its staff of PhD's and PhD students, QuantFi engages in fundamental and applied research in in the field of quantum finance, collaborating with industrial partners and universities in seeking breakthroughs in such areas as portfolio optimisation, asset pricing, and trend detection.

Overview Embarking on a journey through the intricate pathways of the Linux File Management System offers a thrilling yet essential adventure for those diving into modern computing. This course unfolds the mysteries behind Linux's unique file hierarchy, ensuring that users comprehend its structure and master the art of navigation and manipulation within this environment. From initial introductions to setting up a dedicated lab and diving deep into the Linux FileSystem, learners will be equipped with the prowess to navigate Linux systems effortlessly. Learning Outcomes: Understand the fundamental principles and concepts of the Linux File Management System. Acquire the knowledge to configure and set up a functional Linux lab environment. Demonstrate proficiency in navigating the Linux filesystem hierarchy. Apply various commands and techniques to manage files effectively. Recognise and differentiate between multiple Linux file types and their specific purposes. Implement appropriate security measures to safeguard files and directories. Evaluate and troubleshoot common file management issues within Linux environments. Why buy this Linux File Management System? 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 Linux File Management System 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 Linux File Management System course is ideal for Aspiring system administrators keen on mastering Linux file management. Software developers looking to enhance their Linux-based application development skills. IT enthusiasts aiming to expand their knowledge on Linux operations. Individuals transitioning from other operating systems to Linux platforms. University students studying computer science or related fields with a focus on Linux systems. Prerequisites This Linux File Management System does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Linux File Management System 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 Linux System Administrator: Average salary of £40,000 - £55,000 Per Annum. Software Developer (Linux-focused): Average salary of £45,000 - £60,000 Per Annum. Linux Support Engineer: Average salary of £30,000 - £45,000 Per Annum. IT Consultant (Linux speciality): Average salary of £50,000 - £70,000 Per Annum. Linux Systems Architect: Average salary of £60,000 - £80,000 Per Annum. Linux Training Specialist: Average salary of £35,000 - £50,000 Per Annum. Course Curriculum Section 1: Introduction Introduction 00:01:00 Course Overview 00:04:00 Section 2: Setup a Lab Unit 1: Download and Install VirtualBox 00:06:00 Unit 2: Creating First Virtual Machine 00:06:00 Unit 3: Linux Installation 00:25:00 Unit 4: Linux CentOS8 Installation 00:25:00 Section 3: Linux FileSystem Unit 1: Introduction to Unix and Linux 00:02:00 Unit 2: Accessing Linux System 00:03:00 Unit 3: Download and Install Putty 00:03:00 Unit 4: Connect Linux via Putty 00:05:00 Unit 5: Introduction to Linux FileSystem 00:05:00 Unit 6: FileSystem Structure and Description 00:13:00 Unit 7: FileSystem Navigation Commands 00:10:00 Unit 8: Absolute and Relative Paths 00:05:00 Unit 9: Directory Listing Attributes 00:03:00 Unit 10: Creating Files and Directories 00:09:00 Unit 11: Linux File Type 00:01:00 Unit 12: Difference Between Find and Locate Commands 00:06:00 Unit 13: Hard and Soft Link 00:12:00 Unit 14: i=Important Things to Remember 00:01:00 Unit 15: Understanding Wildcards 00:10:00 Unit 16: Command Prompts and Getting prompts Back 00:04:00 Unit 17: Changing Systems password 00:05:00 Assignment Assignment - Linux File Management System 00:00:00

Free Level 7 QLS Endorsed Certificate | CPD & CiQ Accredited | Audio Visual Training | 180 CPD Points | Lifetime Access

Duration 3 Days 18 CPD hours This course is intended for Security analyst, threat hunters, or incident responders Security professionals who work with enterprise and endpoint security tools Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture of a Carbon Black EDR implementation Perform the installation, upgrade, and configuration of the Carbon Black EDR server Describe the purpose and use of multiple datastores in the server Perform live queries across endpoints to gather additional data Perform effective searches across the dataset to find security artifacts related to the endpoints Manage Threat Intelligence Feeds and Watchlists Describe connectors in Carbon Black EDR Troubleshoot server and sensor problems Analyze data found in the Heads-Up Display Manage investigations to group and summarize security incidents and artifacts Perform the different response capabilities available to users in Carbon Black EDR Use the Carbon Black EDR API to automate tasks This three-day, hands-on training course provides you with the knowledge, skills, and tools to achieve competency in installing, configuring, and managing the VMware Carbon Black© EDR? environment. This course introduces you to product features, capabilities, and workflows for managing endpoint security. Hands-on labs enable learners to reinforce topics by performing operations and tasks within the product in a training environment. Course Introduction Introductions and course logistics Course objectives Planning and Architecture Describe the architecture and components of Carbon Black EDR Identify the communication requirements for Carbon Black EDR Server Installation, Upgrade, and Administration Install the Carbon Black EDR server Describe the options during the installation process Install a Carbon Black EDR sensor Confirm data ingestion in the Carbon Black EDR server Identify built-in administration tools Manage sensor groups Manage users and teams Server Datastores Describe the datastores used in Carbon Black EDR Interact with the available datastores Live Query Describe live query capabilities Perform queries across endpoints Searching and Best Practices Describe the capabilities and data available in the process search Perform process searches to find specific endpoint activity Describe the capabilities and data available in the binary search Perform binary searches to find application data Describe the query syntax and advanced use cases Perform advanced queries across the dataset Threat Intelligence Feeds and Watchlists Define Threat Intelligence Feeds Manage the available Threat Intelligence Feeds Describe the use of Watchlists Manage Watchlists in the environment Connectors in Carbon Black EDR Configure connectors in Carbon Black EDR Troubleshoot connectors Troubleshooting Identify the available troubleshooting scripts in the Carbon Black EDR server Run troubleshooting scripts to identify problems Generate a sensor log bundle Identify the location of sensor registry keys Head-Up Display Identify panels relating to endpoint data Analyze endpoint data provided by the panels Identify panels relating to operations data Analyze operations data provided by the panels Identify panels relating to server data Analyze server data provided by the panels Define alert generation in Carbon Black EDR Manage alerts Investigations Describe investigations Explore data used in an investigation Manage investigations Manage investigation events Responding to Endpoint Incidents Describe isolation in Carbon Black EDR Manage isolating endpoints Describe live response capabilities Manage live response sessions Describe hash banning Manage banned hashes Overview of Postman and the Carbon Black EDR API Explain the use of the API Differentiate the APIs available for Carbon Black EDR Explain the purpose of API tokens Create an API token Explain the API URL Create a valid API request Import a collection to Postman Initiate an API request from Postman Perform operations manually using Postman Analyze the use cases for Postman Show basic automation tasks using the API and curl Compare the usage of curl with Postman Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Carbon Black EDR: Install, Configure, Manage [V7.x] 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 VMware Carbon Black EDR: Install, Configure, Manage [V7.x] 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.

Level 3 | Two Endorsed Training | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Blooming Spring Deal of The Year is Live Now **Offer Ends Soon; Hurry Up!! ** 4 in 1 Bundle Learn from relevant industry professionals and quickly equip yourself with the specific knowledge and skills needed to excel in your chosen career through this bundle training. Study the Bundle and get an expertly designed training experience. Improve your knowledge and enhance the skills you need to succeed as a professional in any workplace with this Bundle. Designed to build your competent skill set and enable you to do the best job possible, the Bundle is ideal for those who aim to be the best in their fields. Our Bundle Contains 4 of Our Premium Courses for One Discounted Price: Course 01: Domestic Electrician Course Course 02: Basic Electricity Course Course 03: Smart Meter Installer Course Course 04: Portable Appliance Testing (PAT) - CPD Accredited Students can expect to complete this Bundle Program in around 24 hours. 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Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course is as follows: System engineers Technical support personnel Channel partners and resellers Overview Upon completion of this course, the learner should be able to meet the following objectives: Installing a Cisco Meeting Server in a single combined deployment Installing a Cisco Meeting Server in a single split deployment Troubleshooting tools Integrating Cisco Meeting Server with Cisco TelePresence Video Communication Server (VCS), Cisco Unified Communications Manager and Microsoft Skype for Business In this course, you will learn how to install, troubleshoot, and maintain a single server and single server split deployment of Cisco Meeting Servers This course is designed to establish a minimum level of knowledge and competency among Cisco Meeting Server resale and installation partners. The recently purchased Acano collaboration hardware and software includes video and audio-bridging technology that allows customers to connect video systems from multiple vendors across both cloud and hybrid environments. Cisco has incorporated Acano collaboration technologies into the new Meeting Server tool. Module 1: Cisco Meeting Server Single Server Solution Cisco Meeting Server Solution Reviewing Authentication and Encryption Single Server Solution Preparing for Cisco Meeting Server Installation Installing Cisco Meeting Servers Configuring the Web Admin Configuring the Call Bridge Configuring the Web Bridge Module 2: Troubleshooting Tools Seven call detail record (CDR) record types and the information contained in each Capture server configuration files (.json), crash log files, media and application .dmp files. Cisco Meeting App crash files, and Cisco Meeting App diagnostic logs Employ the built-in commands to identify Cisco Meeting Server solution issues including PKI, DNS Lookup, Ping, and Service Status Common issues for end users using the Cisco Meeting Server solution Module 3: Firewall Traversal and Unified Communications Application Integration Deploying a TURN Server Deploying Firewall and NAT Traversal Integrating with UC Platforms Additional course details: Nexus Humans Cisco Meeting Server Intermediate (COLLAB250) 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 Meeting Server Intermediate (COLLAB250) 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.