13105 AI courses delivered On Demand

Learn to build chatbots for various platforms such as Facebook, Slack, Skype, Kik, Telegram and others with the Chatbots for Multiple Platforms - Without Coding course. A chatbot is a computer program or an artificial intelligence which is designed to simulate a conversation with human users, especially over the Internet via auditory or textual methods. In the course, you will learn to create chatbots for various platforms without coding. The course shows you the techniques of developing sophisticated chatbots that use button and Ai to ensure great customer experience. You will learn to build a chatbot in Gupshup.io, Motion.ai, and more. The course helps you to develop the first bot. Upon completion, you will be able to create chatbots that can able to perform various operations. What Will I Learn? By the end of the course you will be able to build an iBeacon enabled mobile app ready to be submitted to the app stores (Apple and Google Play) You will understand what an iBeacon is and what are some of the potential uses. You will understand what programs are needed to build beacon apps and where to download them (for free). You will understand the different types of beacons, what are the costs involved, what services are provided by the various beacon makers. You will know how to build an app for testing and giving to your clients for testing. Requirements You need to have a MAC computer to build the apps - currently PC is not supported. It is also possible to do this on a Windows machine if you install a Virtual machine and run the MAC OS in a window on your PC. Take a look at this for an overview: https://blog.udemy.com/xcode-on-windows/ For testing iBeacon functionality you will need 2 things. 1) a device to act as a beacon, and 2) an i Device or an Andoid Device (details in the course). A desire to learn! This is not difficult, it only takes following instructions and havign a desire to learn. Who is the target audience? Web and Mobile designers, marketing people, and business ownvers who want to learn how to leverage the next level of mobile interactions by incorporating iBeacons. No programming background needed - this is really a course for anyone - you really do not need to have any coding background. Marketing and retial people are also encouraged to take this course to understand the potential for greater customer interactions made possible with iBeacons. Mobile phone app makers who want to learn how to incorporate iBeacons into existing apps the easy and fast way. Introduction to Chatbots 1. Introduction 00:03:00 2. Chatbot Examples 00:06:00 Building a Chatbot in Gupshup.io 2. Introduction to Gupshup 00:02:00 3. Gupshup Travel Bot Part 1 00:11:00 4. Gupshup Improving the User Experience 00:02:00 5. Gupshup Order an Uber 00:02:00 7. Gupshup Helsinki Weather 00:04:00 8. Gupshup Publishing Your Bot 00:02:00 Gobot Easy and Powerful Ready Made Chatbot Services 1. Gobot Introduction 00:01:00 3. GoBot Site Example 00:02:00 4. Gobot Parts of the System 00:01:00 5. Gobot Make a bot Part 1 00:08:00 6. Gobot Make a bot Part 2 00:03:00 7. Gobot Publishing your Bot 00:08:00 A Facebook Messenger Bot 1. Introducing Chatfuel 00:02:00 2. Understanding A Chatfuel Bot - Test Bot 00:05:00 3. Building Our Own Facebook Messenger Bot - A Retail Example part 1 00:02:00 4. Catfuel and Images - Getting them right 00:06:00 5. Chatfuel Product Gallery with More Information 00:09:00 6. Chatfuel - Plugins - Adding an RSS feed with Subscription 00:07:00 7. Chatfuel - Plugins - YouTube Integration 00:07:00 8. Chatfuel - Collecting Uder Input via Email 00:06:00 9. Chatfuel - Advanced Features 00:09:00 10. Chatfuel - Work Around for Button Linking Problem 00:02:00 11. Chatfuel - Add a Site Search - Bing or Google Search 00:07:00 12. Chatfuel - Publish Your Bot - Two Options 00:03:00 UPDATE - MiniApp Chatbot Building System 1. Introduction to MiniApp 00:02:00 2. Connecting a MiniApps Bot to the Microsoft Bot Framework 00:10:00 3. MiniApps Creating the Bot Interactions 00:04:00 4. MiniApps Connecting your bot to Skype 00:02:00 5. MiniApps Simple now but other options are possible 00:01:00 6. MiniApps Conslusion 00:02:00 Building a Chatbot in Motion.ai 2. Looking at the Motion.ai Interface 00:02:00 3. Motion.ai Interface Part 2 00:02:00 Building Our First Bot - A travel bot 1. Part 1 - Setting up the Travel Bot 00:01:00 2. Part 2 - Looking at The Connections 00:02:00 3. Part 3 - Adding Buttons via HTML and Cards 00:07:00 4. Part 4 - Adding Other Content with Widgets - Weather Example 00:03:00 5. Part 5 - Connecting Your Bot to Another Bot - Uber Example 00:03:00 6. Part 6 - Creating Multiple Cards - Travel Sights Bot 00:10:00 7. Part 7 - Clean-up - Global Settings and Help 00:03:00 Entertainment bot Example - The Bender Bot 1. Bender Bot Part 1 - Looking at how the bot works 00:04:00 2. Bender Bot Part 2 - Advanced - Adding a new interaction 00:06:00 3. Bender Bot Part 3 - Final connnections and things to think about with Motion.ai 00:09:00 Thank You 1. Thank you and contacts 00:01:00

About Course Master the fundamental building block of the web and learn to create beautiful and functional websites with HTML5. In this comprehensive course, you will learn: The basics of HTML syntax, including elements, attributes, and tags. How to structure your web pages using HTML5 semantic elements. How to add images, videos, and other multimedia content to your websites. How to create interactive web pages using forms and buttons. How to style your websites using CSS. This course is perfect for beginners with no prior experience in HTML. However, if you have some programming experience, you will be able to learn the material more quickly. You will learn from an experienced web developer who will teach you the concepts and skills you need to succeed. By the end of this course, you will be able to: Create and structure web pages using HTML5. Add multimedia content and interactive elements to your websites. Style your websites using CSS. Build a portfolio of real-world websites Throughout the course, you will work on a variety of hands-on projects to build your skills and create a portfolio of real-world websites. Join a supportive community of learners You will have access to a dedicated student forum where you can ask questions and get help from the instructor and other students. Enroll today and start your journey to becoming a web developer! Bonus: Get access to the instructor's personal collection of HTML5 resources. Why learn HTML5? HTML5 is the latest version of HTML, and it is the most widely used markup language in the world. It is used to create the structure and content of web pages. HTML5 is a powerful tool that can be used to create a variety of websites, from simple static pages to complex dynamic applications. Here are some of the benefits of learning HTML5: HTML5 is easy to learn, even for beginners. HTML5 is a versatile language that can be used to create a variety of websites. HTML5 is in high demand, and there are many job opportunities for HTML5 developers. HTML5 is a valuable skill to have, even if you are not planning to become a web developer. So what are you waiting for? Enroll in this course today and start your journey to becoming a web developer! What Will You Learn? Become a modern and confident HTML developer, no prior knowledge needed! Learn to quickly apply CHatGPT AI skills for your website development Design and build a stunning real-world project for your portfolio from scratch A web design framework with easy-to-use rules and guidelines to design eye-catching websites How to make websites work on every possible mobile device (responsive design) You will learn quickly prompt engineering skills to make real-world websites Learn to Publish your website on production servers using FTP app Course Content Getting Started Introduction to Getting Started Course Curriculum How to Get Pre - Requisites Getting Started on Windows, Linux or Mac How to Ask Great Questions FAQ's HTML Setting Up Local Environment Introduction to HTML Choosing Code Editor Installing Code Editor (Sublime Text) Overview of a Webpage Structure of a Full HTML Webpage First Hello World Webpage Summary HTML Basic Introduction Heading Tags Paragraph Formatting Text List Items Unordered List Items Ordered Classes IDs Comments Summary HTML Intermediate Introduction Images Forms Form Actions Br Tag Marquee Text Area Tables Links Navbar - Menu HTML Entities Div Tag Google Maps Summary HTML Advanced Introduction HTML5 Audio HTML5 Video Progress Bar Drag and Drop Canvas Iframes Input Types Input Attributes YouTube Video Linking Creating Responsive Page Summary HTML Expert Introduction Registration Form Login Form About Us Form Contact Us Form Footer Form Integrate All Together Coding Exercise Solution for Coding Exercise Summary Publish Your Website Live Introduction Installing Free FTP Solution (FileZilla) Setting Up FTP (File Transfer Protocol) Publish Website to Hosting Server Summary HTML Website Project Introduction Challenge - HTML 5 Clock Face with Numbers Project Overview Conclusion on Project Summary A course by Sekhar Metla IT Industry Expert RequirementsNo coding or design experience necessary for this courseAny computer works - Windows, Linux or macOSYou don't need to buy any software - we will use the best free code editor in the world

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00

If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts. Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career. This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field.  The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand.  And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects.  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 This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies 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 Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. 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 of Healthcare Assistant Training Experience on a journey towards a fulfilling career in healthcare, an industry brimming with opportunities and growth. In the UK, the healthcare sector is a vital component of society, offering employment and a chance to make a meaningful difference in people's lives. With a focus on industrial knowledge and understanding, the Healthcare Assistant Training course equips you with the essential skills and insights needed in this dynamic field.  Dive into various aspects of healthcare, from legal and ethical practices to advanced technological solutions. This Healthcare Assistant Training course is a gateway to a world where compassion meets expertise, preparing you for a range of roles in this ever-evolving industry. Join us to become part of a community dedicated to care and excellence. Get a quick look at the course content: This Healthcare Assistant Training Course will help you to learn: Gain proficiency in various healthcare settings and practices. Understand legal ethical standards in healthcare comprehensively. Develop skills in maintaining and handling medical records. Learn the importance of confidentiality in medical environments. Acquire knowledge of health, safety, and hygiene in nursing. Understand patient mobility issues and caregiver roles effectively. This course covers the topics you must know to stand against the tough competition. The future is truly yours to seize. 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, your skills and knowledge will be tested with an MCQ exam or assignment. 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 Healthcare Assistant Training 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. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Aspiring healthcare assistants seeking foundational skills. Nurses and support workers aim for skill enhancement. Current healthcare workers are updating post-Covid-19 skills. Individuals interested in health and social care roles. Tech enthusiasts are exploring AI in healthcare applications. Requirements You don't need any educational qualification or experience to enrol in the Healthcare Assistant Training 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 Healthcare Assistant - £18K to £25K/year. Infection Control Nurse - £25K to £35K/year Nursing Assistant - £17K to £25K/year. Social Care Worker - £16K to £22K/year. Medical Records Clerk - £17K to £24K/year. Course Curriculum Healthcare Assistant Training Module 1: Working in Different Healthcare Settings 00:15:00 Module 2: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1 00:50:00 Module 3: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 2 00:48:00 Module 4: Maintaining Medical Records 00:22:00 Module 5: Confidentiality in a Medical Environment 00:17:00 Module 6: Health and Safety Responsibilities 00:51:00 Module 7: Hygiene in Nursing 00:30:00 Module 8: Infection Control 00:57:00 Module 9: Mobility and Immobility Issues of Patients in Nursing 00:15:00 Module 10: Rights and Responsibilities as a Health and Social Care Worker 00:39:00 Module 11: Role as A Caregiver and Healthcare Professional 00:23:00 Module 12: Providing Care or Treatment to People Who Lack Capacity 00:11:00 Module 13: Managing Service Delivery in Health and Social Care 00:11:00 Module 14: Medical Jargon and Terminology 00:28:00 Module 15: Effects of Covid-19 on Human Life 00:19:00 Module 16: Preventions and Social Measures to Be Taken 00:28:00 Module 17: Information Technology in Health Care 00:16:00 Module 18: Artificial Intelligence, Data Science and Technological Solutions against Covid-19 00:19:00 Assignment Assignment - Healthcare Assistant Training 00:00:00

The course is designed for Google Ads (Google AdWords) practitioners that already have basic knowledge in setting up and running AdWords accounts. The course explores advanced techniques and ideas that I have picked up and developed over 10 years running AdWords campaigns for small to large scale clients. I explain the idea behind each technique and I give you ideas and example cases on how I have used it. I then show you how to set it up step by step inside Google Ads. We also look at how to interpret results and how to apply it to your own campaigns, we look at real data and actual results. What you'll learn Google Ads Campaign Experiments: Best Use Cases, Step-by-Step Setup, Analysis, Implementation Access Google Ads tools for forecasting performance Budget Optimisation techniques using regression formula Advanced Concept Testing: moving beyond A/B ad testing to testing concepts Improving Geotargeting for Local Businesses With A Double Campaign Structure How To Setup, Run, Pivot & Interpret the Paid & Organic Report Make A Strong Argument For Running Branded Ads Using the Paid & Organic Report Identify Opportunities Between Organic & Paid Listings Learn to use a free Google Sheets template for automating and tracking budgets in multiple ad accounts How to find the key pitfalls in any Google Ads account How to Audit a new or existing Google Ads account and find issues to improve upon quickly Utilise Dynamic Ad Customisers for more personalised ads Understand the power of using Google Analytics with Google Ads and be familiar with Audience setup and relevant Google Ads reports in GA Understand attribution models and why the default last click is not always ideal Implement Machine Learning features within Google Ads to benefit your account in ways that human optimisation could never reach Develop a multi-funnel remarketing strategy for GDN and search campaign Requirements Able to set up your own Google Ads account Be confident navigating Google Ads accounts Basic exposure to excel filtering & pivot tables Introduction 1. Introduction 00:02:00 Testing to Ad Concepts 2. Introduction to Ad Concepts 00:02:00 3.Example Ad Concepts 00:04:00 4. Label Setup 00:04:00 5. Reporting on Ad Concepts 00:08:00 Google Ads Paid % Organic Interaction Report 6. Understanding the usefulness of this report 00:03:00 7.Linking Google Ads with Search Console 00:04:00 8.Excel Report Setup & Pivot 00:04:00 9.Identifying Google Ads & SEO Search Term Opportunities 00:02:00 10.CTR Interaction between SEO & SEM 00:06:00 Geolocal Campaigns - Double Campaign Structure 11.The theory behind the double campaign 00:04:00 12.A practical example inside Google Ads 00:03:00 Google Ads Campaign - Experiments (Drafts & Experiments) 13.Introduction to Drafts & Experiments 00:05:00 14.Example experiment Ideas for use 00:06:00 15.Draft & Experiment Setup 00:10:00 16.Report Analysis & explanation of symbols 00:05:00 Automate Budgeting for Multiple Ad Accounts 17. Introduction to the Google Spreedsheet template 00:02:00 18. Data Inputs 00:04:00 19. Reading the sheet output 00:06:00 AdWords Audit 20. Audit Overview 00:02:00 21. Auditing the Account Structure 00:08:00 22. Campaign Settings 00:04:00 23. Auditing on the AdGroup Level 00:10:00 24. Other Things to look for in an Audit 00:08:00 Remarketing Strategy & Implementation 25. Why Remarketing Works 00:03:00 26.GDN Remarketing 00:06:00 27.Remarketing Lists for Search Ads (RLSA) & IF Statements 00:04:00 28. Customer Match (Email Retargeting) 00:01:00 29. Dynamic Remarketing 00:04:00 30. Lookalike Audiences 00:02:00 31. GDN Banner Sizes & Other Things to Consider 00:03:00 32. Audience List Sharing 00:14:00 33. Remarketing with Events 00:06:00 Artificial Intelligence & Machine Learning 34.What is AI & ML 00:06:00 35. Auto Rotate for Budgets & Ads 00:03:00 36.Dynamic Search Ads 00:03:00 37.Smart Bidding Strategies 00:07:00 38.Lookalike Audiences 00:02:00 39.Data Driven Attribution Models 00:03:00 Dynamic Ad Customisers 40.Introduction to Ad Customisers 00:04:00 41. Advantages & Example Uses 00:05:00 42.Setting up the Business Data Feed 00:06:00 43.Best Practice for Ads 00:03:00 Google Analytics for Google Ads 44. The Advantages of linking AdWords with GA 00:04:00 45. Linking GA & AdWords 00:02:00 46. AdWords Reports in GA 00:01:00 47. GA Conversion Tracking & Goal Setup 00:07:00 48. Remarketing Segments in GA 00:13:00 49. Attribution Models in Google Analytics 00:07:00 Using Scripts 50. Introduction to AdWords Scripts 00:04:00 51. 404 Link Checker Script 00:07:00 52. Experiment Results Script 00:07:00 53. Google Ads Audit Script 00:06:00 AdWords Editor 54. Introduction and advantages of AdWords Editor over the online interface 00:04:00 55. Example Uses for AdWords Editor 00:04:00 56.AdWords Editor - what you can't do 00:02:00 Competitor Research Tools 57.Auction Insights displayed graphically 00:17:00 58.3rd Party Competitor Research Tools -SEMrush 00:16:00 Landing Page Software 59.Why Use Landing Page Software 00:06:00 60.Unbounce Walk-through 00:08:00 61. Tracking integration for landing pages 00:09:00 New Features in 2018/19 62.Ad Variations 00:06:00 63.Search Responsive Ads 00:05:00 64. Life Events Audiences 00:04:00 65. Custom Intent Audiences 00:04:00

Highlights of the Course Course Type: Online Learning Duration: 2 Hours 31 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about automation in industry Understand the core competencies and principles of automation in industry Explore the various areas of automation in industry Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert industrial or manufacturing engineer Industry 4.0 - Automation & Applications Course Master the skills you need to propel your career forward in automation in industry. This course will equip you with the essential knowledge and skillset that will make you a confident industrial or manufacturing engineer and take your career to the next level. This comprehensive industry 4.0 - automation & applications course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this industry 4.0 - automation & applications course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective automation in industry practice and equip you with the essential skills, confidence and competence to assist you in the automation in industry industry. You'll gain a solid understanding of the core competencies required to drive a successful career in automation in industry. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for industrial or manufacturing engineer or for people who are aspiring to specialise in automation in industry. Enrol in this industry 4.0 - automation & applications course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive industry 4.0 - automation & applications course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this automation in industry can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This industry 4.0 - automation & applications course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This industry 4.0 - automation & applications 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 could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This industry 4.0 - automation & applications course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. 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. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. 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. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Industry 4.0 - The Fourth Industrial Revolution 00:03:00 Classification Of Automation 00:04:00 Types Of Control System 00:05:00 Ethical Dilemma Of Automation 00:04:00 Robotics Robotics & AI - A Debatable Topic 00:06:00 Definition of a ROBOT 00:09:00 Laws of Robotics 00:02:00 Components of a Robot 00:07:00 Robot Classification 00:02:00 DOF - Degree Of Freedom 00:08:00 Robot Configurations 00:05:00 White Collar Robots 00:04:00 Numerical Control of Machine Tools NC Machines 00:04:00 CNC - Computer Numerical Control System 00:02:00 Components of CNCs 00:04:00 Incremental & Absolute CNC Machines 00:03:00 Open & Close Control Loop CNC Machines 00:02:00 2 & 3 Axes CNC Machines 00:02:00 Importance Of Higher Axes Machining 00:02:00 Programming Format 00:06:00 A Simple Coding Exercise 00:17:00 Applications Of CNC Machines 00:07:00 Additive Manufacturing (3D Printing) General Explanation Of 3D Printing 00:06:00 3D Printing Procedure 00:02:00 SLA - Stereolithography (SL) 00:03:00 DLP - Digital Light Processing 00:02:00 Laser Sintering 00:02:00 Extrusion / FDM / FFF 00:02:00 Inkjet - Binder Jetting 00:02:00 Inkjet - Material Jetting 00:01:00 Selective Deposition Lamination (SDL) 00:01:00 EBM - Electron Beam Melting 00:01:00 3D Printing Materials 00:06:00 3D Printing Applications 00:12:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This course will help you explore the world of Big Data technologies and frameworks. You will develop skills that will help you to pick the right Big Data technology and framework for your job and build the confidence to design robust Big Data pipelines.