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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

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

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

Overview This comprehensive course on Computer Vision: C++ and OpenCV with GPU support will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Computer Vision: C++ and OpenCV with GPU support comes with accredited certification, 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 Computer Vision: C++ and OpenCV with GPU support. It is available to all students, of all academic backgrounds. Requirements Our Computer Vision: C++ and OpenCV with GPU support 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 5 sections • 22 lectures • 02:31:00 total length •Module 01: Driver installation: 00:06:00 •Module 02: Cuda toolkit installation: 00:01:00 •Module 03: Compile OpenCV from source with CUDA support part-1: 00:06:00 •Module 04: Compile OpenCV from source with CUDA support part-2: 00:05:00 •Module 05: Python environment for flownet2-pytorch: 00:09:00 •Module 01: Read camera & files in a folder (C++): 00:11:00 •Module 02: Edge detection (C++): 00:08:00 •Module 03: Color transformations (C++): 00:07:00 •Module 04: Using a trackbar (C++): 00:06:00 •Module 05: Image filtering with CUDA (Introduction to using OpenCV GPU methods on C++): 00:13:00 •Module 01: Background segmentation with MOG (C++): 00:04:00 •Module 02: MOG and MOG2 cuda implementation (C++ - CUDA): 00:03:00 •Module 03: Special app: Track class: 00:06:00 •Module 04: Special app: Track bgseg Foreground objects: 00:08:00 •Module 01: A simple application to prepare dataset for object detection (C++): 00:08:00 •Module 02: Train model with openCV ML module (C++ and CUDA): 00:13:00 •Module 03: Object detection with openCV ML module (C++ CUDA): 00:06:00 •Module 01: Optical flow with Farneback (C++): 00:08:00 •Module 02: Optical flow with Farneback (C++ CUDA): 00:06:00 •Module 03: Optical flow with Nvidia optical flow SDK (C++ CUDA): 00:05:00 •Module 04: Optical flow with Nvidia Flownet2 (Python): 00:05:00 •Module 05: Performance Comparison: 00:07:00

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

HTML is one of the primary and vital languages you need to get your hands on if you want to pursue a career in the IT industry. The HTML Crash Course is here to provide you with the essential knowledge and ability to work with this programming language. In this comprehensive HTML Crash Course, you will learn about the fundamentals of the HTML programming language. The interactive modules will show you the steps of installing HTML. You will receive detailed lessons on HTML tags, lists, forms etc. In addition, the course will also enrich your knowledge and understanding of HTML entities. From this HTML Crash Course, you will get both a theoretical and practical understanding of HTML. This course is the perfect place to establish a solid foundation in this highly beneficial programming language. You will also receive a valuable certificate after completing the course. Join now and increase your employability in the IT sector. Learning Objectives Familiarise yourself with the core concept of HTML Understand the process of HTML installation Enrich your knowledge of HTML tags, lists, forms etc Learn about HTML entities Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited HTML Crash Course is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this HTML Crash Course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successfully completing the HTML Crash Course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Computer programmer Web developers Web designers Graphic designer Course Curriculum Module 01: Setup and Installation Installation And Setup 00:06:00 Module 02: Learning HTML5 HTML Tags 00:17:00 Lists 00:12:00 Forms 00:12:00 Tables 00:05:00 Html Entities 00:07:00 Module 03: MEGA PROJECT MEGA PROJECT 00:02:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime With 1 year access to the course materials Online Learning Learn from anywhere, whenever you want This Python Hacking Complete Course will help you learn about configuring IP addresses and installing Metasploitable, adding raw input to the port scanner, returning banners from the open port, finishing and testing the scanner and many more. This course at a glance Accredited by CPD UK Endorsed by Quality Licence Scheme The key elements of Python hacking. The introduction of Python and the process of installing its step-up program. What are SSH and FTP attacks and how to deal with them. How to crack the password using Python hacking What are sniffers, flooders and spoofers. What is coding DNS spoofer and learn the steps involved in the process. What is network analysis and how it is beneficial for Python hacking. Understand what is multi-functioning Reverse and gain in-depth knowledge of the same. The website penetration testing and how to use it for effective Python hacking. Why Python Hacking Complete Course right for you? This Python Hacking Complete Course is the perfect way to kickstart your career in the field of Python programming. This online course will provide you with a comprehensive understanding of the VirtualBox and Kali Linux installation. You will also get to understand the port and vulnerability scanning so as to gain proficiency in Python hacking. By the end of the course, you will have theoretical knowledge of Python hacking and understand the tools and strategies required to master hacking using Python programming. Python Hacking Complete Course Details Accredited by CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Introduction and Setup Welcome to Python for Ethical Hacking! VirtualBox installation Kali Linux Installation Adding Guest Additions Port and Vulnerability Scanning Coding a Simple Port Scanner Adding Raw_Input to Our Port Scanner Scanning the First 1,000 Ports Coding an Advanced Port Scanner Part 1 Coding an Advanced Port Scanner Part 2 Finishing and Testing our Scanner Configuring IP Address and Installing Metasploitable Returning Banner from Open Port Coding a Vulnerability Scanner Part 1 Coding a Vulnerability Scanner Part 2 SSH and FTP Attacks Automating SSH Login Part 1 Automating SSH Login Part 2 Testing Our SSH Login Program Coding a SSH Brute-Forcer Executing Commands on Target After Brute-Forcing SSH Anonymous FTP Login Attack Username & Password List Attack on FTP Password Cracking SHA256, SHA512, MD5 Cracking SHA1 Hash with Online Dictionary Getting Password from MD5 Hash Cracking crypt passwords with salt Sniffers, Flooders and Spoofers Changing MAC Address Manually Coding MAC Address Changer Theory Behind ARP Spoofing Crafting Malicious ARP Packet Coding ARP Spoofer Forwarding Packets and Restoring ARP Tables Spoofing Our IP Address and Sending Message with TCP Payload Running SynFlooder with Changed Source IP Address Getting Source and Destination MAC Address from Received Packets Sniffing FTP Username and Password Part 1 Sniffing FTP Username and Password Part 2 Getting Passwords from HTTP Websites Cloning Any Webpage Printing DNS Queries Coding DNS Spoofer Redirecting Response to Cloned Page Setting IP Table Rules and Running DNS Spoofer Network Analysis Analyzing Ethernet Header Analyzing IP Header Part 1 Analyzing IP Header Part 2 Analyzing TCP Header Multi-Functioning Reverse Theory Behind Socket Programming Wine and Pyinstaller Installation Setting Up Listener Establishing Connection Between Target and Server Implementing Send & Receive Functions Executing Commands on Target System Importing JSON Library to Parse Data Converting Python backdoor to .exe Using OS library to Change Directory Downloading & Uploading Files to Target PC Hiding our Backdoor and Creating Persistence Trying to Connect to Server Every 20 Seconds Downloading Files to Target PC Capturing Screenshot on Target PC Administrator Privilege Check Starting Other Programs with Our Shell Running Our Shell As an Image, Audio, PDF Coding a Keylogger Installing Pynput Printing Space Character Calling Timer on Our Keylogger Adding Keylogger to Our Backdoor Command and Control Center What is a Threaded Server? Accepting Connections with a Thread Managing Multiple Sessions Testing Threaded Server with Windows 10 target Fixing Q Command Coding Exit Function Attacking Multiple Targets and Gathering Botnet Website Penetration Testing Stealing Saved Wireless Passwords Saving Passwords to a File Bruteforcing Gmail Bruteforcing Any Login Page Part 1 Bruteforcing Any Login Page Part 2 Finding Hidden Directories Part 1 Finding Hidden Directories Part 2 Discovering Subdomains Changing HTTP Headers Starting Basic and Digest Authentication Bruteforcer Controlling Threads Coding Run Function Printing Usage and Testing Our Program Taking a Look at Ransomware Who should take this course? This comprehensive Python Hacking Complete Course is specially designed for Python developers interested in network security and ethical hacking. Those aspiring to accelerate their career in Python programming or want to improve their job prospects can also take this career-advancement Python hacking course. Entry Requirements There are no academic entry requirements for this Python Hacking Complete course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Python Hacking Complete Course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org