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This beginner's course exclusively delivers Python programming from basic to advanced. You will learn Python concepts in real-life programming examples by building real-world applications. Learn the syntax of Python language and understand the logic behind the programming process to create your Python programs successfully and master Python coding.

If you're willing to take for your IELTS exam for the first time or solely want to learn more about IELTS, then this IELTS Exam Course is perfect for you. The course focuses on four skill components of the IELTS test which are Reading, Listening, Writing, and Speaking. You'll learn some fundamental techniques including improvising reading and writing skills, identifying difficulties and how to overcome those difficulties, structuring sentences, and tips for writing task 1 and task 2. You'll discover plenty of tips to improve your fluency in speaking English. This comprehensive course guides you on how to understand the reading sections, following with the different question types. Furthermore, this course also provides you with a greater understanding of the test format. Join this course today and explore an easy way to get your best IELTS score. What Will I Learn? Improve your overall band score on the IELTS exam. Watch a native English speaker answer every type of question on the IELTS exam! Complete IELTS preparation in Reading, Writing, Listening, and Speaking. Practice strategies for both Writing Task I and Writing Task II. Special strategies for answering questions in the listening section and resources for further practice. Reading strategies for both the general exam and the academic exam. Requirements Basic English skills No previous knowledge about the IELTS exam is required to take this course. Who is the target audience? Students of all levels who want to improve their IELTS scores Students who want to improve in any section: Speaking, Writing, Listening or Reading Those who want to watch a native English speaker answer exam questions Introduction Academic VS General IELTS FREE 00:04:00 How the IELTS Exam is corrected 00:05:00 Listening Listening Introduction 00:06:00 Listening Section 1 00:06:00 Listening Section 2 Maps 00:06:00 Listening Matching 00:06:00 Listening Section 3 Multiple Choice 00:08:00 Listening Section 4 00:05:00 Listening Sentence Completion 00:06:00 Reading Reading Section Introduction 00:07:00 Reading Survey a Passage 00:06:00 Reading Completion 00:14:00 Reading Matching Headings 00:07:00 Reading T/F/NG 00:09:00 Reading Multiple Questions 00:08:00 Writing Writing Marking Criteria 00:12:00 Writing Introduction 00:09:00 Writing Intoducation Paragraph 00:06:00 Writing Body Parargagraph 00:07:00 Writing Conclusion Paragraph 00:03:00 Developing an Argument 00:07:00 Irrelvant Information 00:05:00 Appropriate Style and Tone 00:08:00 Two Questions Essay 00:08:00 Writing Opinion 00:07:00 Writing Discussion 00:09:00 Course Certification

It is quite difficult for many students to get an 8 in IELTS writing. There are multiples reasons behind having a lower mark in writing than in the three other sections. Before you rush into things, it's important to keep in mind that IELTS examiners evaluate your performance on two writing tasks based on task achievement, lexical support, and grammatical correctness, coherence and cohesion. This IELTS Writing Masterclass course lays out for you, point-by-point, each measure you go through on your way to deal with different charts such as Pie Chart, Line Chart, Bar Chart, Table, Diagram, Maps, etc. The course outlines the mistakes one makes in writing task 1 and 2 and teaches how to answer both tasks successfully by catching grammatical structures, subject-verb agreement, tense, articles, preposition, spelling, etc. What you'll learn At the end of this course you will have a deep knowledge of IELTS Examination. At the end of this course you will have more confidence regarding the IELTS Examination. Requirements You should be able to use a PC at a beginner level. Beginner Level of English is required. Videos are in English. Who is the target audience? Anyone who wants to learn for the IELTS Examination fast and easy. This course is designed for students with Beginner Level of English. We strongly recommend taking our 'Complete English Course - English Speaking - English Grammar' before taking this course. Introduction Find out all about this course in less than five minutes FREE 00:04:00 IELTS- Introduction 00:05:00 IELTS- Explaining the banding system 00:07:00 IELTS- What is Task 2 00:09:00 IELTS- Task achievement and task response 00:09:00 IELTS- Vocabulary 00:09:00 IELTS- Grammatical Range and Accuracy 00:06:00 IELTS- Extra tips to prepare for the IELTS writing 00:07:00 IELTS- Task one example 00:07:00 IELTS- Task two example 00:06:00 IELTS- Task two structure 00:10:00 IELTS- Planning 00:06:00 IELTS- Examiners Notes 00:08:00 IELTS- Go through Task 1 00:06:00 IELTS- Go through task 2 00:06:00 IELTS- Tips for the exam 00:04:00 Course Certification

Learn to use DevOps tools from an industrial point of view. This course will help you get a firsthand experience of what it is like to be a DevOps engineer. Create DevOps CI/CD pipelines using Git, Jenkins, Ansible, Docker, SonarQube, and Kubernetes on AWS. Start your DevOps journey today. This course has been created from the perspective of a DevOps engineer who doesn't typically write application code.

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

[vc_row][vc_column][vc_column_text] Description IELTS examiners assess your performance on every writing task based on coherence and cohesion, task response, lexical resource, and grammatical accuracy and range. Learn how to enhance your reading, writing, listening and speaking through our Complete IELTS Writing Course, and gain the practical skills and knowledge you need to pass your IELTS exam with flying colours. The writing module incorporates two tasks. Task one covers working with charts such as pie, line, bar, table. You will also look into diagrams and maps. Task two incorporates general IELTS topics.  Our course aims to teach you the most effective way to brainstorm on a particular issue and write following grammatical structures; subject-verb agreement, tense, articles, preposition, and verb forms. This online course also guides you on how to write succinct and fluid sentences to improve your overall score. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Complete IELTS Writing Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Complete IELTS Writing 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.[/vc_column_text][/vc_column][/vc_row] Introduction Find out all about this course in less than five minutes FREE 00:04:00 IELTS- Introduction 00:05:00 IELTS- Explaining the banding system 00:07:00 IELTS- What is Task 2 00:09:00 IELTS- Task achievement and task response 00:09:00 IELTS- Vocabulary 00:09:00 IELTS- Grammatical Range and Accuracy 00:06:00 IELTS- Extra tips to prepare for the IELTS writing 00:07:00 IELTS- Task one example 00:07:00 IELTS- Task two example 00:06:00 IELTS- Task two structure 00:10:00 IELTS- Planning 00:06:00 IELTS- Examiners Notes 00:08:00 IELTS- Go through Task 1 00:06:00 IELTS- Go through task 2 00:06:00 IELTS- Tips for the exam 00:04:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Join our Quality Assurance course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Quality Assurance course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Quality Assurance course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You will Learn The Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Quality Assurance. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital/PDF Certificate After completing the Quality Assurance course, you can order your CPD-accredited Digital/PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Quality Assurance is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Quality Assurance course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Quality Assurance Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 01: Defining Quality Defining Quality 00:20:00 Module 02: Role Of Monitoring And Controlling Quality Role Of Monitoring And Conrolling Quality 00:19:00 Module 03: Methods Of Controlling Quality Methods Of Controlling Quality 00:14:00 Module 04: Total Quality Management (TQM) Total Quality Management (TQM) 00:16:00 Module 05: Key Performance Indicators Key Performance Indicators 00:15:00 Module 06: Customer Satisfaction Customer Satisfaction 00:15:00 Module 07: Reviewing Quality Reviewing Quality 00:16:00

This course will show you how to build Python-based web applications using Flask. You will cover the basics of the Flask framework and learn how to add functionality to your Flask applications using the popular extensions.

Project Manager's Immersion Program A Deep Dive into Project Management Skills for Serious Practitioners