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Duration 5 Days 30 CPD hours This course is intended for Linux Professional Institute Certification (LPIC-2) 201 training is suitable for individuals with roles of: System administrator Network administrator Technician DevOps Overview Upon successful completion of this course, students will be able to: measure hardware resource and network bandwidth, identify and troubleshoot resource problems monitor resource usage to predict future resource needs utilise kernel components that are necessary to specific hardware, hardware drivers, system resources and requirements properly configure a kernel to include or disable specific features of the Linux kernel as necessary manage and/or query a 2.6.x, 3.x or 4.x kernel and its loadable modules query and modify the behaviour of system services at various targets / run levels properly manipulate a Linux system during both the boot process and during recovery mode properly configure and navigate the standard Linux filesystem configure automount filesystems using AutoFS configure and implement software RAID configure kernel options to support various drives create and remove logical volumes, volume groups, and physical volumes use system tools to back up important system data. This course prepares students to take the 201 exam of the LPI level 2 certification. To gain LPIC-2 certification, an individual should have an active LPIC-1 certification. Capacity Planning Measure and Troubleshoot Resource Usage Predict Future Resource Needs Linux Kernel Kernel components Compiling a Linux kernel Kernel runtime management and troubleshooting System Startup Customising system startup System recovery Alternate Bootloaders Filesystem and Devices Filesystem and Devices Maintaining a Linux filesystem Creating and configuring filesystem options Advanced Storage Device Administration Configuring RAID Adjusting Storage Device Access Logical Volume Manager Networking Configuration Basic networking configuration Advanced Network Configuration Troubleshooting network issue System Maintenance Make and install programs from source Backup operations Notify users on system-related issues
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Our Bundle Contains 4 of Our Premium Courses for One Discounted Price: Course 01: Domestic Electrical Installer Course 02: Smart Meter Installer Course Course 03: Electrical Safety Course 04: Heating, Ventilation & Air Conditioning (HVAC) Technician Students can expect to complete this Domestic Electrical Installer Bundle Program in around 34 hours. Get dedicated student support from our expert instructors if you need assistance or have any questions about the Domestic Electrical Installer Bundle Package. Learning Outcomes of Domestic Electrical Installer Package: Understand the fundamental aspects of smart meters. Design and implement smart metering systems. Analyze the cost, benefits, and UK's smart meter policies. Adopt essential safety precautions in electrical works. Grasp the basic concepts of direct and alternating current. Understand voltage, resistance, and the role of capacitors. Comprehend the basic principles of HVAC systems. Gain insights into heating fundamentals and ventilation techniques. Familiarize with AC systems, compressors, and related equipment. Understand the role and responsibilities of a handyperson. Master the use of basic tools for diverse tasks. Understand and practice key electrical safety measures. All the courses under this Domestic Electrical Installer Bundle are split into a number of expertly created modules to provide you with an in-depth and comprehensive learning experience. Upon successful completion of the Domestic Electrical Installer Bundle, an instant e-certificate will be exhibited in your profile that you can order as proof of your new skills and knowledge. Why Take Domestic Electrical Installer from Academy for Health & Fitness? Free PDF certificate accredited by CPD after completing this Bundle Course Interactive Domestic Electrical Installer Bundle Courses material The Domestic Electrical Installer course assessment included testing your knowledge Get a free student ID card with Domestic Electrical Installer Bundle Lifetime access to the Domestic Electrical Installer course materials Domestic Electrical Installer comes with 24/7 tutor support Complete the Domestic Electrical Installer Bundle in your own time, at your own pace Domestic Electrical Installer Experts created the Bundle to provide a rich and in-depth training experience for all students who enrol in it. Enrol right now and you'll have immediate access to all of the Domestic Electrical Installer Bundle materials. Then, from any internet-enabled device, access the materials and learn when it's convenient for you. *** Course Curriculum of Domestic Electrical Installer*** Our Bundle Courses consist of the following learning modules: Course 01: Domestic Electrical Installer Training Safety Precautions Direct Current Alternating Current Voltage and Resistance Capacitance and Capacitors Course 02: Smart Meter Installer Course Introduction To Smart Meter Designing Of Smart Metering System Install A Smart Meter Meter Installation Guidelines Smart Meter Cost And Benefit Analysis Smart Metering Policy Guidelines Smart Meters Act In The UK Course 03: Heating, Ventilation & Air Conditioning (HVAC) Technician Introduction to Heating, Ventilation & Air Conditioning (HVAC) Heating Fundamentals and Psychometrics HVAC Systems Heating and Ventilation Air Conditioning Systems for HVAC Technicians Compressors, Water Chillers, and Fans Course 04: Electrical Safety Safety Precautions Direct Current Alternating Current Voltage and Resistance Assessment Process of Domestic Electrical Installer Once you have completed all the modules in the Domestic Electrical Installer Bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Domestic Electrical Installer This Domestic Electrical Installer Bundle is ideal for anyone interested in this topic and who wants to learn more about it. This Bundle will help you gain a strong understanding of the core concepts and will allow you to gain in-depth knowledge of the subject matter. This Domestic Electrical Installer Bundle is suitable for everyone. There are no specific entry requirements, and you can access the course materials from anywhere in the world. Requirements Domestic Electrical Installer The Domestic Electrical Installer Bundle does not require any prior knowledge; everyone may participate! This Domestic Electrical Installer is open to anyone who is interested in learning from anywhere in the world. Career path Domestic Electrical Installer This Domestic Electrical Installer Bundle will allow you to kickstart or take your career in the related sector to the next stage. Our whole Domestic Electrical Installer Bundle will assist you in achieving a position of respect and dignity, as well as allowing you to gain an advantage over your competitors. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited Hard copy Certificate Hard copy certificate - £29
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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
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