1355 Installation courses

Learn how to design your PV system and take steps to become a fully qualified solar panel engineer with the Solar Energy. This course is an in-depth training program designed to provide an insight into the solar industry and solar PV installation. In this course, you will develop practical knowledge and skills to become an expert in the field of energy consumption. You will start by learning how modern technology converts solar energy into electricity, and on completion will have full knowledge of how to design a photovoltaic system. Throughout the course, you will make use of expert solar design software PVSYST and SketchUp, to analyse your data and utilise specialist tools. System pricing, technical reports, and payback period are also discussed in detail. What you'll learn Develop your knowledge of solar energy systems and its main components Learn how to build your own solar energy system at home Fast track your career in engineering and develop the required skills Understand the fundamentals of solar radiation and PV solar energy Learn how to conduct a solar energy site survey and technical report Explore renewable energy consumption and the benefits of solar energy Gain an understanding of how solar energy is measured and its units of power Get step-by-step guidance on how to use specialist design software PVSYST & SketchUp Requirements Passion to learn! Basic computer skills Who this course is for Engineering students Beginner Engineers in this field Beginner Solar energy worker Anyone who wants to enter this sector Unit 1- Basics of Solar Energy System Module 1- Introduction To PV System Construction 00:24:00 Module 2- Solar Heating, Solar Irradiation And Panels 00:38:00 Module 3- Effect of Insolation and Temperature on V-I Curve 00:05:00 Module 4- PV Installation, Short Circuit And Open Circuit Tests Using Avometer 00:15:00 Module 5- Solar Wires And Cables Installation Process 00:22:00 Module 6- Mounting Of PV System 00:04:00 Module 7- Shading and Tilt angle In Solar Energy 00:15:00 Module 8- Half Cut Cell Technology In PV System For Solar Engineering 00:25:00 Module 9- Importance Of Charge Controller In Solar Energy System 00:03:00 Module 10- PWM And MPPT Charge Controllers 00:14:00 Module 11- Understanding More about MPPT Solar Charge Controller For Solar Energy Course 00:24:00 Module 12- Junction Box In Solar Energy System 00:04:00 Module 13- Wiring of Junction Box In Solar Energy System 00:05:00 Module 14- Function, Types And Data Sheet Of Inverter 00:55:00 Module 15- Determining PV Array Maximum System Voltage 00:09:00 Unit 2- Batteries in PV System Module 1- Construction And Types Of Batteries In Solar Energy System 00:09:00 Module 2- Charging Of Lead Acid Batteries And Hydrometer In Solar Energy System 00:07:00 Module 3- Maintenance Of Batteries And Methods Of Charging In Solar Energy System 00:03:00 Module 4- Cycle of Batteries 00:04:00 Unit 3- Components and Design of Off Grid Solar Energy System Module 1- Off-Grid Solar System 00:02:00 Module 2- Advantages of Off-Grid Solar System 00:02:00 Module 3- Equipment of Off-Grid Solar System 00:04:00 Module 4- Selection and Datasheet of the Panel 00:04:00 Module 5- Inverter Selection 00:02:00 Module 6- Example 1 On Designing Off Grid System 00:01:00 Module 7- Determine Power Consumption Demands 00:04:00 Module 8- Size the PV modules 00:05:00 Module 9- Inverter sizing 00:04:00 Module 10- Battery Sizing 00:08:00 Module 11- Solar Charge Controller Sizing 00:05:00 Module 12- MPPT Charge Controller Sizing 00:10:00 Module 13- Example 2 Design of an OFF Grid System 00:20:00 Unit 4- Designing of ON Grid Solar Energy System Module 1- Grid-Tied Solar System 00:03:00 Module 2- Advantages of Grid-Tied Solar System 00:04:00 Module 3- Equipment of Grid-Tied Solar System 00:03:00 Module 4- Example Design of an On Grid System 00:10:00 Module 5- PV Energy According to Area 00:02:00 Unit 5- Design of PV System Using PVSyst Programme Module 1- Design of an Off Grid Solar Energy System Using PVSYST Program 00:28:00 Module 2- Design Of An On Grid Solar Energy System Using PVSyst Program 00:12:00 Module 3- Mega PV System Design Using PVSyst Program For Solar Energy 00:24:00 Unit 6- Solar Water Pumping System Module 1- Introduction To Water Pumping System And Steps Of Design 00:24:00 Module 2- Solved Example On Solar Pumping System Design 00:23:00 Unit 7- Protection of PV System Module 1- Introduction to Protection Of PV System 00:07:00 Module 2- Selection of Fuses and Protection of String 00:13:00 Module 3- Protection of Arrays 00:07:00 Module 4- Protection of Inverter 00:07:00 Module 5- Protection of Transformer 00:07:00 Module 6- Surge Protection Device 00:02:00 Module 7- Grounding of PV System 00:07:00 Module 8- Types of BusBars in PV System and Selection of BusBars 00:12:00 Unit 8- Design Using Excel Sheet Module 1-Design Of Off Grid PV System Using Excel Sheet 00:26:00 Unit 9- Single Line Diagram of PV System Module 1- Single Line Diagram Of PV System And Selection Of Fuses And Breakers 00:45:00 Unit 10- MATLAB and ETAP PV Simulation Module 1- Simulation Of PV Cell In MATLAB And Obtaining V-I Characteristics 00:28:00 Module 2- Get a Complete Grid Connected PV Solar Energy System In MATLAB Simulink 00:25:00 Module 3- PV System Simulation Using ETAP Lesson 00:24:00

The 'Linux Basics' course provides a comprehensive introduction to Linux operating systems and basic administration. It covers essential concepts and commands for beginners and advances to more complex administrative tasks, enabling learners to develop proficiency in working with Linux environments. Learning Outcomes: Understand the fundamentals of Linux operating systems and their importance in the tech industry. Navigate and work with Linux command-line interfaces, files, and directories. Perform basic Linux administration tasks such as user management, file permissions, and process management. Configure network settings and services in Linux environments. Learn advanced Linux administration skills, including system backups, package management, and troubleshooting. Implement security measures to protect Linux systems from unauthorized access. Explore advanced Linux concepts such as shell scripting and kernel management. Gain practical experience in setting up and managing Linux servers. Use Linux efficiently for personal and professional projects. Prepare for more specialized Linux certifications or advanced courses. Why buy this Linux Basics? 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 Basics 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 Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning. Prerequisites This Linux Basics 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 Linux Basics is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 1: Introduction Unit 1: Introduction 00:02:00 Unit 2: Course Overview 00:03:00 Section 2: Basic Linux Administration Unit 1: What is Linux 00:03:00 Unit 2: What is Virtual Box 00:02:00 Unit 3: Oracle Virtual Box Installation 00:04:00 Unit 4: Creating Virtual Machine 00:05:00 Unit 5: Linux Distributions 00:03:00 Unit 6: Linux CentOS7 Installation (Recommended) 00:25:00 Unit 7: Linux CentOS8 Installation (Optional) 00:25:00 Unit 8: Download and Install Putty 00:03:00 Unit 9: Connect Linux VM through Putty 00:05:00 Unit 10: Changing Password 00:05:00 Unit 11: Introduction to File System 00:05:00 Unit 12: File System Navigation Commands 00:10:00 Unit 13: Directory Listing Overview 00:03:00 Unit 14: Creating Files & Directories 00:09:00 Unit 15: Pipes 00:05:00 Unit 16: File & Directory Permissions 00:13:00 Unit 17: File Ownership Commands 00:12:00 Unit 18: Adding Text to Files 00:13:00 Unit 19: Help Commands 00:05:00 Section 3: Advance Linux Administration Unit 1: File Maintenance Commands 00:12:00 Unit 2: File Display Commands 00:08:00 Unit 3: Filters / Text Processing Commands 00:13:00 Unit 4: Finding System Information 00:05:00 Unit 5: Linux File Editor 00:15:00 Unit 6: User Account Management 00:15:00 Unit 7: Switch Users and Sudo Access 00:09:00 Unit 8: System Utility Commands 00:09:00 Unit 9: Processes and Schedules 00:20:00 Unit 10: OS Maintenance Commands 00:05:00 Unit 11: System Monitoring Commands 00:09:00 Unit 12: Shell Scripting 00:03:00 Unit 13: Basic Shell Scripts 00:13:00 Unit 14: History Command 00:05:00 Unit 15: Enabling Internet in Linux VM 00:03:00 Unit 16: Network Files and Commands 00:09:00 Unit 17: System Updates and Repositories 00:12:00 Assignment Assignment - Linux Basics 00:00:00

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Duration 3 Days 18 CPD hours This course is intended for This course is recommended for technical professionals who perform advanced deployment configurations of Check Point products. Overview Provide an overview of the upgrade service and options available. Explain how to perform management upgrade and migration. Articulate the process using CPUSE features. Articulate the purpose and function of Management High Availability. Explain Primary vs Secondary, Active vs Standby and Synchronization. Explain disaster recovery steps in case the primary management server becomes unavailable. Provide overview of Central Deployment in SmartConsole. Articulate an understanding of Security Gateway cluster upgrade methods. Explain about Multi Version Cluster (MVC) upgrades. Discuss Gaia Commands and how they are used. Explain the main processes on s and s. Describe how to work with scripts and SmartTasks to configure automatic actions. Explain the Management Data Plane Separation (MDPS) Explain kernel operations and traffic flow Articulate Dynamic and Updatable Objects in Security Gateways Explain the policy installation flow and files used. Describe the use of policy installation history. Explain concurrent and accelerated install policy. Describe an overview of APIs and ways to use and authenticate. Explain how to make changes in GAIA and management configuration. Explain how to install policy using API. Explain how the SecureXL acceleration technology enhances and optimizes Security Gateway performance. Describe how the CoreXL acceleration technology enhances and improves Security Gateway performance. Articulate how utilizing multiple traffic queues can make traffic handling more efficient. Discuss Site-to-Site VPN basics, deployment and communities. Describe how to analyze and interpret VPN tunnel traffic. Explain Link Selection and ISP Redundancy options. Explain tunnel management features. Discuss Check Point Remote Access solutions and how they differ from each other. Describe how client security can be provided by Remote Access . Explain authentication methods including machine authentication. Explain Multiple Entry Point (MEP). Discuss the Mobile Access Software Blade and how it secures communication and data exchange during remote connections. Learn basic concepts and develop skills necessary to administer IT security fundamental tasks. Course Outline Prepare for a Security Management Server Upgrade Upgrade the Security Management Server Deploy a Secondary Security Management Server Configure a Distributed Log Server Upgrade a Security Gateway from SmartConsole Work with the Command Line Use Scripts and SmartTasks Configure Dynamic Objects Monitor Traffic Verify Policy Installation and Status Work with Gaia and Management APIs Work with Acceleration Features Configure a Locally Managed Site to Site VPN Configure a Site to Site VPN with an Interoperable Device Configure Remote Access VPN Configure Mobile Access VPN Configure a High Availability Cluster Work with ClusterXL Configure Policy Compliance Deploy SmartEvent

Duration 5 Days 30 CPD hours This course is intended for Candidates for this exam are IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services. The Modern Desktop Administrator deploys, configures, secures, manages, and monitors devices and client applications in an enterprise environment. Overview After completing this course, learners should be able to: Prepare to install Windows 10. Install Windows 10. Configure Updates for Windows. Perform post-installation configuration tasks. Configure devices and drivers for Windows. Configure storage for Windows. Configure network settings in Windows. Configure remote management of Windows. Configure and manage applications in Windows. Configure Internet Explorer. Describe the methods for securing Windows 10. Configure account access and authentication. Configure file and folder permissions. Create security policies. Describe common threats and methods for mitigating against them. Use Windows troubleshooting and monitoring tools. Troubleshoot Windows installations. Troubleshoot application installation issues. Troubleshoot web browser settings. Troubleshoot Windows authentication. Troubleshoot hardware issues related to Windows machines. Develop an Operating System deployment and upgrade strategy. Understand the different methods of deployment. Understand on-premise and cloud-based solutions. Deploy and migrate desktops to Windows 10. Plan and configure Windows Update policies. Describe the benefits and capabilities of Azure AD. Manage users using Azure AD with Active Directory DS. Implement Windows Hello for Business. Configure conditional access rules based on compliance policies. Describe the various tools used to secure devices and data. Implement Windows Defender Advanced Threat Protection. This five day accelerated course will cover topics necessary to prepare attendees with the baseline knowledge to take the MD-100 and MD-101 exams for the Modern Desktop Administrator Associate certification. Installing Windows Introducing Windows 10 Installation Options Requirements for Windows Features Installation Process and Media Upgrading to Windows 10 Updating Windows Windows Servicing Model Updating Windows Applying Applications and Windows Updates Post-Instalation Configuration and Personalization Customize the Windows 10 UI Configure device specific settings such as power plans and mobile device options Use the Windows control panel and setting app to configure settings Describe using Windows PowerShell Configuring Peripherals and Drivers Managing Devices and Drivers Managing Printers Configuring Networking Configure IP Network Connectivity Implement Name Resolution Implement Wireless Network Connectivity Remote Access Overview Remote Management Configuring Storage Overview of storage options Using OneDrive Managing Disks, Partitions, and Volumes Maintaining Disks and Volumes Managing Storage Spaces Managing Apps in Windows 10 Providing Apps to Users Managing Universal Windows Apps The Windows Store Web browsers in Windows 10 Configuring Authorization and Authentication Using Security Settings to Mitigate Threats Configuring User Account Control Implementing Device Registration Authentication Configuring Data Access and Usage Overview of File Systems Configuring and Managing File Access Configuring and Managing Shared Folders Managing Security with Policies Configuring Advanced Management Tools Configuring Tenant Roles Managing Tenant Health and Services Supporting the Windows 10 Environment Troubleshooting Windows Troubleshooting Tools Troubleshooting the Windows OS Troubleshooting Windows Startup Troubleshooting Operating System Service Issues Troubleshooting Sign-In Issues Troubleshooting Files and Applications File Recovery in Windows 10 Application Troubleshooting Troubleshooting Hardware and Drivers Troubleshooting Device Driver Failures Overview of Hardware Troubleshooting Troubleshooting Physical Failures Planning an Operating System Deployment Strategy Overview of Windows as a service Windows 10 Deployment options Considerations for Windows 10 deployment Implementing Windows 10 Implementing Windows 10 by using dynamic deployment Implementing Windows 10 by using Windows Autopilot Upgrading devices to Windows 10 Managing Updates for Windows 10 Implementing Windows 10 by using dynamic deployment Implementing Windows 10 by using Windows Autopilot Upgrading devices to Windows 10 Device Enrollment Device management options Manage Intune device enrollment and inventory Configuring Profiles Configuring device profiles Managing user profiles Monitoring devices Application Management Implement Mobile Application Management (MAM) Deploying and updating applications Administering applications Managing Authentication in Azure Ad MANAGING AUTHENTICATION IN AZURE AD Managing Devices and Device Policies Microsoft Intune Overview Managing devices with Intune Implement device compliance policies Managing Security Implement device data protection Managing Windows Defender ATP Managing Windows Defender in Windows 10 Additional course details: Nexus Humans Windows 10 Modern Desktop Administrator Associate Bootcamp 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 Windows 10 Modern Desktop Administrator Associate Bootcamp 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.

Who is this course for? Enscape Rendering Training Course. The Enscape Rendering Training Course is tailored for architects, interior designers, and design students aiming to learn realistic visualizations using Enscape. Whether you prefer 1-on-1 in-person or online courses, this training is best for you. Click here for more info: Website Training duration: 5 hrs Method: 1-on-1 and Tailored content Schedule: Customize your training. Choose any hour from Mon to Sat, 9 am to 7 pm Call 02077202581 or WhatsApp at 07970325184 to book. Course Outline: Enscape Rendering Software Training (5 hours) Course 1: Enscape for Revit Hour 1: 1. Introduction to Enscape: Overview of Enscape rendering software, its features, and benefits. 2. Installing and Setting up Enscape: Step-by-step guidance on installing and configuring Enscape for Revit. 3. Enscape Interface: Familiarizing with the Enscape user interface and navigation controls within Revit. Hour 2: 4. Enscape Materials: Exploring material creation, application, and customization within Enscape for Revit. 5. Lighting in Enscape: Understanding different lighting options, adjusting light settings, and creating realistic lighting effects. Hour 3: 6. Enscape Camera Settings: Manipulating camera angles, perspectives, and settings for optimal visualization. 7. Enscape Rendering Settings: Exploring various rendering settings and techniques to enhance the quality of the final output. Hour 4: 8. Enscape Rendering Workflow: Demonstrating a step-by-step workflow for generating renderings and walkthroughs using Enscape in Revit. 9. Advanced Features: Introduction to advanced features such as creating panoramas, virtual reality (VR) walkthroughs, and creating animations in Enscape. Hour 5: 10. Tips and Tricks: Sharing tips and techniques for maximizing efficiency and achieving high-quality results in Enscape for Revit. 11. Q&A and Troubleshooting: Addressing participant questions, providing troubleshooting guidance, and discussing common challenges and solutions. OR Course Outline: Enscape Rendering Software Training (5 hours) Course 1: Enscape for Sketchup Hour 1: 1. Introduction to Enscape: Overview of Enscape rendering software, its features, and benefits for SketchUp users. 2. Installing and Setting up Enscape: Step-by-step guidance on installing and configuring Enscape for SketchUp. 3. Enscape Interface: Familiarizing with the Enscape user interface and navigation controls within SketchUp. Hour 2: 4. Enscape Materials: Exploring material creation, application, and customization within Enscape for SketchUp. 5. Lighting in Enscape: Understanding different lighting options, adjusting light settings, and creating realistic lighting effects. Hour 3: 6. Enscape Camera Settings: Manipulating camera angles, perspectives, and settings for optimal visualization in SketchUp. 7. Enscape Rendering Settings: Exploring various rendering settings and techniques to enhance the quality of the final output. Hour 4: 8. Enscape Rendering Workflow: Demonstrating a step-by-step workflow for generating renderings and walkthroughs using Enscape in SketchUp. 9. Advanced Features: Introduction to advanced features such as creating panoramas, virtual reality (VR) walkthroughs, and creating animations in Enscape. Hour 5: 10. Tips and Tricks: Sharing tips and techniques for maximizing efficiency and achieving high-quality results in Enscape for SketchUp. 11. Q&A and Troubleshooting: Addressing participant questions, providing troubleshooting guidance, and discussing common challenges and solutions. Learning Outcome: After completing the Enscape (VR) Training and Interactive Workshop, participants will master real-time walkthroughs, set up VR applications, efficiently migrate models, navigate designs dynamically, update objects in real-time, control visual styles, adjust day-time settings, export and share designs, utilize the asset library, and gain a comprehensive overview of Enscape. These skills will enable them to confidently visualize and display 3D designs without cloud uploads or external software, enhancing communication and collaboration in architectural projects. What does the Enscape Training & Interactive Workshop offer? The Enscape Training & Interactive Workshop is designed to help you get up and running with Virtual Reality (VR) in a cost-effective manner. It covers hardware and software setup, navigation techniques, real-time updates, material settings, and more. The workshop also allows participants to experience VR firsthand. What are the benefits of attending the Enscape (VR) Training and Interactive Workshop? By attending this workshop, you will gain the ability to perform real-time walkthroughs of your designs in 3D. You can view your projects in VR without the need for cloud uploads or exporting to other 3D software. The workshop offers extensive asset libraries, collaboration, and annotation sharing, enhancing your design visualization capabilities. What are the prerequisites for attending the Enscape (VR) Training and Interactive Workshop? No prior knowledge of Enscape is required. However, assistance from IT management may be necessary for hardware and software installation. Logistics, such as room suitability and technical requirements, will be discussed before the workshop. What will I learn in the Enscape (VR) Training and Interactive Workshop? The workshop covers hardware setup, software installation, and configuration. You will learn how to migrate models from Revit and SketchUp into VR, navigate through designs, update objects and materials in real-time, and utilize various visual styles and settings. The course also includes interactive workshops with support from our expert tutors. Enscape rendering courses offer valuable benefits: Real-time Visualization: Instantly visualize designs for quick iterations and informed decisions. Seamless Integration: Streamline rendering by integrating with popular design software. High-Quality Visuals: Create photorealistic presentations and walkthroughs. Efficient Design Communication: Enhance collaboration and communication during presentations. Enhanced Design Iteration: Explore options and make informed decisions in real-time. Time and Cost Savings: Reduce rendering time and deliver projects more efficiently. Portfolio Enhancement: Elevate your portfolio with visually striking renderings, opening new opportunities.

Overview This comprehensive course on Building Big Data Pipelines with PySpark MongoDB and Bokeh will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Building Big Data Pipelines with PySpark MongoDB and Bokeh comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Building Big Data Pipelines with PySpark MongoDB and Bokeh. It is available to all students, of all academic backgrounds. Requirements Our Building Big Data Pipelines with PySpark MongoDB and Bokeh is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 7 sections • 25 lectures • 05:04:00 total length •Introduction: 00:10:00 •Python Installation: 00:03:00 •Installing Third Party Libraries: 00:03:00 •Installing Apache Spark: 00:12:00 •Installing Java (Optional): 00:05:00 •Testing Apache Spark Installation: 00:06:00 •Installing MongoDB: 00:04:00 •Installing NoSQL Booster for MongoDB: 00:07:00 •Integrating PySpark with Jupyter Notebook: 00:05:00 •Data Extraction: 00:19:00 •Data Transformation: 00:15:00 •Loading Data into MongoDB: 00:13:00 •Data Pre-processing: 00:19:00 •Building the Predictive Model: 00:12:00 •Creating the Prediction Dataset: 00:08:00 •Loading the Data Sources from MongoDB: 00:17:00 •Creating a Map Plot: 00:33:00 •Creating a Bar Chart: 00:09:00 •Creating a Magnitude Plot: 00:15:00 •Creating a Grid Plot: 00:09:00 •Installing Visual Studio Code: 00:05:00 •Creating the PySpark ETL Script: 00:24:00 •Creating the Machine Learning Script: 00:30:00 •Creating the Dashboard Server: 00:21:00 •Source Code and Notebook: 00:00:00

This is a gateway course for all further learning in FD&FA systems.

Are you looking to enhance your Python- Beginner to Advance skills? If yes, then you have come to the right place. Our comprehensive course on Python- Beginner to Advance will assist you in producing the best possible outcome by mastering the Python- Beginner to Advance skills. The Python- Beginner to Advance course is for those who want to be successful. In the Python- Beginner to Advance course, you will learn the essential knowledge needed to become well versed in Python- Beginner to Advance. Our course starts with the basics of Python- Beginner to Advance and gradually progresses towards advanced topics. Therefore, each lesson of this Python- Beginner to Advance course is intuitive and easy to understand. Why would you choose the Python- Beginner to Advance course from Compliance Central: Lifetime access to Python- Beginner to Advance course materials Full tutor support is available from Monday to Friday with the Python- Beginner to Advance course Learn Python- Beginner to Advance skills at your own pace from the comfort of your home Gain a complete understanding of Python- Beginner to Advance course Accessible, informative Python- Beginner to Advance learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Python- Beginner to Advance course Study Python- Beginner to Advance in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Python- Beginner to Advance course Curriculum Breakdown of the Python- Beginner to Advance Course Introduction Curriculum Overview What's New command line basics python installation Pycham-ce ide installation Setting up environment Running python code git and github overview Python Data Types Python Arithmetic Operators Numbers Variable Assignments Strings Introduction Indexing and Slicing with Strings String Properties and Methods CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Python- Beginner to Advance course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Python- Beginner to Advance. It is also great for professionals who are already working in Python- Beginner to Advance and want to get promoted at work. Requirements To enrol in this Python- Beginner to Advance course, all you need is a basic understanding of the English Language and an internet connection. Career path The Python- Beginner to Advance course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors. Python Developer: £35,000 to £70,000 per year Data Analyst: £25,000 to £55,000 per year Machine Learning Engineer: £45,000 to £85,000 per year Software Engineer: £40,000 to £75,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? 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 Deep Learning & Neural Networks Python - Keras 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 Deep Learning & Neural Networks Python - Keras 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 Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras 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 Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00