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Ready to break free from emotional baggage and embrace inner peace? Our course is designed for those looking for quick, effective ways to release their anger. Join us on a journey of cathartic release and emotional healing.

NodeJS allows you to build complex and powerful applications quickly and easily, writing JavaScript code. It also allows you to use JavaScript for web applications with flexibility for a wide range of different purposes. Learn about MongoDB as a database and how to build it as well as Express as a framework to build web apps on top of Node.js.

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

BGP training course description A study of BGP for non engineers working in the Internet. The course starts with a review of the basics of routers and routing tables and then moves on to a simple overview of how BPG works with a focus on BGP metrics influencing the route traffic takes through the Internet. Hands on with routers follow the major sessions to reinforce the theory. Note these hands on sessions are more demonstrations by the trainer but some can be followed along and done by delegates (e.g. looking at Internet routing tables.) What will you learn Explain how routing tables influence Internet traffic. Describe how BGP works. Explain the methods BGP can use to influence Internet traffic. Use traceroute, peeringdb, route collectors and looking glasses to analyse traffic flows. Explain the difference between bi lateral and multilateral peering using a route server. BGP training course details Who will benefit: Non technical staff wishing to know more about BGP. Prerequisites: None. Duration 1 day BGP training course contents Networks, routers and routing tables What is a network, what is a router, routing tables, static routes, routing protocols. When an ISP uses static routes and when they use BGP. IP addresses, subnet masks, groups of IP addresses. IPv6. Hands on: Showing a full routing table. Seeing traceroute being used. Basic BGP What's BGP? BGP versus other routing protocols, ASs, AS numbers. RIPE database, peeringdb. Hands on: Finding AS numbers. Showing simple BGP configuration and routing tables in an EVENG example. How BGP works Simple walk through of BGP incremental updates and how routes change when links go down. Hands on: Showing packets and route changes when a link goes down/comes up. BGP path selection Transit, peering, routing policy and route filtering. Longest matching rule in routing tables, route selection order, Local preference, AS prepend, MEDs. Hands on: Seeing BGP influencing traffic. Looking at peering policies in RIPE and peeringdb. Route servers What are route servers? LINX route servers, route server policy control and communities, What are route collectors, Looking glasses. Hands on: Seeing the LINX route server details in peeringdb, using a looking glass.

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

Level 2, 3 & 5 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

Immerse yourself in the fascinating world of botanical sciences with our enticing bundle: "Reproduction in Flowering, Hydroponics and Kitchen Gardening." This curated package encompasses two highly sought-after QLS-endorsed courses: "Reproduction in Flowering Plants" and "Hydroponics Gardening Online Course." Following successful completion of these courses, you'll be rewarded with hardcopy certificates to showcase your accomplishments. But the knowledge journey doesn't stop there. Alongside the QLS-endorsed offerings, the bundle includes an additional five CPD QS accredited courses: "The Basics of Reproduction," "Forestry," "Horticulture," "Arboriculture," and "Environmental Law 2021." The fusion of these courses provides a holistic insight into the green sciences, equipping you with theoretical knowledge and an essential understanding of the field. Key Features of the Reproduction in Flowering, Hydroponics and Kitchen Gardening Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Reproduction in Flowering, Hydroponics and Kitchen Gardening bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Reproduction in Flowering Plants QLS Course 02: Hydroponics Gardening Online Course QLS Course 03: Kitchen Gardening 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: The Basics of Reproduction Course 02: Forestry Course 03: Horticulture Course 04: Arboriculture Course 05: Environmental Law 2021 In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Reproduction in Flowering, Hydroponics and Kitchen Gardening courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Understand the reproductive process of flowering plants. Learn the principles and applications of hydroponics. Gain a basic understanding of plant reproduction and its significance in horticulture. Learn about various types of forestry and its effects on the environment. Develop a clear understanding of horticultural practices and their importance. Discover the different facets of arboriculture. Understand the latest developments in environmental law and its implications for plant life. Discover the magic of botany with the "Reproduction in Flowering, Hydroponics and Kitchen Gardening" bundle. Enrich your understanding of plant reproduction, hydroponic practices, and the joys of kitchen gardening. These interactive courses, infused with quality content, offer a well-rounded perspective on various facets of horticultural studies and environmental law. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen to explore the science behind plant reproduction. Aspiring gardeners interested in hydroponics and kitchen gardening. Environmental science students seeking a comprehensive understanding of environmental law. Horticultural enthusiasts wanting to dive deeper into forestry and arboriculture. Career path Plant Scientist - Average salary: £35,000 - £50,000 Hydroponics Specialist - Average salary: £27,000 - £35,000 Horticulturist - Average salary: £20,000 - £30,000 Arborist - Average salary: £20,000 - £35,000 Environmental Lawyer - Average salary: £70,000 - £120,000 Kitchen Gardener - Average salary: £15,000 - £25,000 (Note: Salaries are averages and can vary based on experience and location.) Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

In this Advanced Diploma in User Experience UI/UX Design course, you will learn everything you need to know to become an expert UI/UX designer. We will start by teaching you the basics of UX and UI design and then move on to more advanced topics like wireframing prototyping, and usability testing. We will also teach you how to use Adobe XD, a powerful design tool professionals use worldwide. UI/UX design is the process of creating products that are user-centred. It is all about understanding user demands and building goods to fulfil those goals. This User Experience Design course will begin with an overview of the web industry, with an emphasis on essential concepts and trends. You will then learn about the fundamentals of graphic design, understanding the principles and techniques that underpin visually appealing designs. You will explore the exciting world of UX design with a solid foundation, concentrating on building user-centred experiences that meet users' requirements and aspirations. The course will also teach you how to integrate your UX design thoughts into aesthetically appealing user interfaces. To bring your ideas to life, you will use Adobe XD, a sophisticated design tool. You will find optimisation tactics along the way to improve the performance and usability of your designs. Furthermore, this course offers useful insights on how to begin a career in UI/UX design, as well as resources and support to help you excel in the sector. Practical assignments will allow you to put your newly learned abilities to use and receive feedback, ensuring that you obtain experience throughout your learning journey. Join us in the User Experience Design from A-Z: Adobe XD UI/UX Design course to realise your full potential as a UI/UX designer. Begin by developing memorable and user-friendly digital experiences that engage users and create a lasting impression. Enrol now and start your path to a successful career in UI/UX design! Learning Outcomes: Upon completion of the User Experience Design course, you will be able to: Understand the main concepts and trends in the web industry. Apply the principles of graphic design to create visually appealing designs. Properly design user-centred experiences that meet users' needs and goals. Translate UX design concepts into visually engaging user interfaces. Utilise Adobe XD to bring your designs to life with interactive prototypes. Optimise designs for improved performance and usability. Gain valuable insights and resources for starting a career in UX/UI design. Who is this course for? This User Experience Design course is ideal for: Beginners interested in entering the UX/UI design field. Graphic designers looking to expand their skill set into UX/UI design. Web designers seeking to enhance their understanding of user experience. Product managers and developers aiming to collaborate effectively with designers. Individuals passionate about creating intuitive and impactful digital experiences. Career Path  Our course will prepare you for a range of careers, including: Junior UX/UI Designer: £25,000 - £40,000 per year. UX/UI Designer: £35,000 - £70,000 per year. Senior UX/UI Designer: £50,000 - £100,000 per year. UX/UI Design Lead: £80,000 - £90,000 per year. UX/UI Design Manager: £95,000 - £120,000 per year. UX/UI Design Director: £120,000+ per year. Certification After studying the course materials of the Advanced Diploma in User Experience UI/UX Design there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Prerequisites This Advanced Diploma in User Experience UI/UX Design does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in User Experience UI/UX Design was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Course Curriculum UX/UI Course Introduction Learn UX/UI Course Overview 00:05:00 Section Overview 00:04:00 UX vs UI 00:04:00 UX/UI Designer Marketplace 00:05:00 Overview of UX Roles 00:06:00 Introduction To The Web Industry Web Industry Section Overview 00:03:00 The Phases of Web Development 00:13:00 Designer Responsibilities (working in a team) 00:09:00 Roles & Descriptions (working in a team) 00:05:00 Agile Approach To Project Management 00:12:00 Scrum - Flexible Framework 00:06:00 Project Management Apps 00:13:00 XD Lesson - Introduction 00:13:00 Foundations of Graphic Design Graphic Design Section Overview 00:02:00 The Psychology of Color 00:13:00 Color Wheel & Color Schemes 00:06:00 Working with Fonts 00:10:00 Working With Icons 00:04:00 XD Lesson - Tools, Object Manipulation and Components 00:13:00 XD Lesson - Font Styles and Artboard Settings 00:07:00 Graphic Design Software Tools 00:03:00 Adobe XD lesson 4 - Icons & Vector Graphics 00:14:00 UX Design (User Experience Design) UX Design Section Overview 00:04:00 What is User Experience Design? (UX) 00:09:00 UX Design Process 00:03:00 The UX Analysis Process 00:08:00 Working with User Profiles 00:03:00 Understanding User Pain Points 00:03:00 XD Lesson 5 Class Project: Сompetitive Analysis 00:10:00 Developing a Persona Part 1 00:05:00 Developing a Persona Part 2 00:05:00 Customer Journey 00:04:00 Customer Journey vs Sales Funnel 00:04:00 3 Phases of a Sales Funnel 00:07:00 4 Stages of a Sales Funnel 00:06:00 Macro/Micro Conversions 00:05:00 Stages of Market Sophistication 00:06:00 Lead Generation Funnel 00:06:00 Digital Product Sales Funnel 00:05:00 7 Principles of Influence 00:12:00 Age Based Influence Triggers 00:06:00 Gender Influence Triggers 00:06:00 Interest Based Marketing 00:04:00 Understanding User Flow 00:08:00 XD Lesson 6 Class Project: Userflow - Your first UX deliverable 00:07:00 Working with Story Boards 00:05:00 XD Lesson 7 Class Project: Crafting a Story board 00:09:00 Working with Moodboards 00:04:00 XD Lesson 8 Class Project: Creating Moodboard 00:11:00 Sitemap & Information Architecture 00:07:00 XD Lesson - Class Project: App Architecture 00:09:00 Low and Hi Fidelity Wireframes 00:03:00 XD Lesson - Class Project: Login Screen Wireframe Using Material Design 00:08:00 Working with Prototypes 00:04:00 XD Lesson - Class Project: Home Screen Wireframe and Linking 00:07:00 XD Lesson - Class Project: Adding Interaction to Wireframes 00:10:00 Testing and Evaluating 00:11:00 UX Deliverables 00:03:00 UX Design Conclusion 00:01:00 UI Design (User Interface Design) UI Design Section Overview 00:03:00 UI Design Overview 00:03:00 Types of Interfaces 00:10:00 Landing Pages Overview 00:10:00 XD Lesson - Using Grids in XD 00:08:00 XD Lesson - Single Card design 00:13:00 UI Controls 00:07:00 UI Navigational Components 00:12:00 Header Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Header Design 00:10:00 XD Lesson - Mobile & Desktop: Dropdown Design 00:06:00 Common Layouts Overview 00:08:00 XD Lesson - Common Layouts 00:07:00 Mobile & Desktop Footer Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Footer Design 00:06:00 Mobile & Desktop Button Design Overview 00:05:00 XD Lesson - Mobile & Desktop: Button Design 00:10:00 XD Lesson - Mobile & Desktop: Input Design 00:07:00 Mobile & Desktop Filter Search Bar Design Overview 00:06:00 Adobe XD Lesson - Mobile & Desktop: Filter Design 00:07:00 Adobe XD Lesson - Mobile & Desktop: Search Design 00:03:00 UI Kit Overview 00:05:00 Adobe XD Lesson - Desktop and Mobile: UI Kit 00:06:00 Microinteractions Overview 00:05:00 Adobe XD lesson - Microinteractions 00:07:00 Optimization Optimization Section Overview 00:02:00 Feedback Review & Getting Referrals 00:04:00 'Above the Fold' Rule 00:04:00 Adobe XD lesson - Designing a Powerful Above the Fold 00:08:00 Using Analytics For Optimization 00:05:00 Heat Maps & Element Placements 00:04:00 Crafting A Usability Report Overview 00:08:00 Adobe XD lesson - Crafting Reports in XD 00:20:00 Starting a Career in UX/UI Design Careers in UX/UI Section Overview 00:06:00 Your Daily Productivity Hub 00:14:00 How To Start Freelancing 00:08:00 Client Consulting 00:04:00 Building a Brand 00:10:00 Personal Branding 00:06:00 The Importance of Having a Website 00:08:00 Creating a Logo 00:05:00 Step by Step Website Setup 00:17:00 UI Templates 00:06:00 Logo Templates 00:04:00 Creating a Business Email 00:06:00 Networking Do's and Don'ts 00:04:00 Top Freelance Websites 00:10:00 UX/UI Project Scope Questions 00:10:00 Laser Focus & Productivity Tools 00:06:00 The Places to Find UX Jobs 00:05:00 Resources Resources - Advanced Diploma in User Experience UI/UX Design 00:00:00 Assignment Assignment - Advanced Diploma in User Experience UI/UX Design 00:00:00