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To provide the knowledge and skills required to perform an internal audit of part of a Information security management system based on ISO 27001 and report on the effective implementation and maintenance of the management system in accordance with ISO 19011.

To provide the knowledge and skills required to perform an internal audit of part of a Food safety management system based on ISO 22000 and report on the effective implementation and maintenance of the management system in accordance with ISO 19011.

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

FREE 5 QLS Endorsed Certificate | 5-in-1 Exclusive Bundle | CPD Accredited | Career Guided Program | Lifetime Access

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

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Anyone passionate about Systems Engineering - CPD Accredited Requirements This Systems Engineering & Agile Project Management doesn't require prior experience and is suitable for diverse learners. Career path This Systems Engineering & Agile Project Management bundle will allow you to kickstart or take your career in the related sector to the next stage. Project manager Agile coach Scrum master Project coordinator Business analyst Certificates CPD Accredited Digital certificate Digital certificate - Included Diploma in Agile Scrum Master Training at QLS Level 5 Hard copy certificate - Included

The Effective Sports Coaching Strategies Course is a tailored programme designed for anyone who aspires to excel in the field of sports coaching. Whether you're looking to develop your leadership style, understand athlete motivation, or hone your strategic planning skills, this course is a perfect fit. With a focus on proven methods and innovative techniques, it ensures that you’re well-equipped to engage and inspire athletes, leading them towards success in their respective sports. This course covers a wide range of key topics, such as communication tactics, athlete development, team dynamics, and goal setting, all of which play a crucial role in creating a winning environment. While this course is entirely online, it offers the flexibility to absorb knowledge at your own pace, wherever you are. By understanding the foundations of effective coaching and the importance of creating a supportive, structured environment, you’ll be able to apply these insights to any coaching role. It’s an ideal way to gain a deep understanding of how successful coaching impacts performance, no matter the level. Designed for coaches and sports enthusiasts alike, this course provides all the necessary tools to make thoughtful and informed coaching decisions. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01 : What is Sports Coaching Module 02 : Foundations of Effective Sports Coaching Module 03 : Coaching Fundamentals for Different Sports Module 04 : Optimising Athlete Performance With Training Module 05 : Psychologically Preparing the Athletes Module 06 : Management Skills for a Sports Coach Learning Outcomes: Analyse coaching principles for effective athlete development. Apply coaching fundamentals across diverse sports disciplines. Implement training strategies to optimise athlete performance. Integrate psychological techniques for athlete mental preparation. Demonstrate proficient management skills in sports coaching. Adapt coaching approaches to various sports for optimal results. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring sports coaches Sports enthusiasts seeking coaching expertise Athletes interested in coaching roles Individuals pursuing a career in sports management Those looking to enhance coaching skills in diverse sports Anyone passionate about the psychology of athlete performance Those seeking a comprehensive understanding of sports coaching principles Individuals aiming to advance their coaching career in a competitive field Career path Sports Coach Assistant Coach Sports Development Officer Team Manager Sports Programme Coordinator Athletic Performance Analyst Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

With Acting Coach Mel Churcher Introduction This Zoom course will offer ways to tap into your confident, powerful self; preparation for filming challenging self-tapes; new thoughts on screen work. Resist the idea of typecasting! You can play the roles you find difficult, or have never had the chance to work on. You can surprise yourself; find the joy of stepping into an unfamiliar self. Let’s open the gates and explore the deep or wild unknown – in a positive way. This course offers guidance, tips and exercises to enable your unique charisma to shine through in any role you play. Suitable both emerging talent and working professionals looking to improve. Meet Your Tutor Mel Churcher A-Lister Coach Mel Churcher is an international acting, dialogue and voice coach who has worked with companies including the Royal National Theatre, Royal Shakespeare Company and coaches a wide range of professionals from budding newcomers to top film stars like Daniel Craig, Angelina Jolie, Keira Knightley and Jet Li; from presenters like Raymond Blanc and Goldie to singers like Tricky and Joss Stone. Mel's Work Course Outline This course will increase your confidence with all aspects of screen work and with self-taping scenes for auditions. We’ll also work on a monologue that you film yourself during the course.  This course will offer guidance, tips and exercises to enable your charisma to shine through in any role you play. All sessions are recorded and students expected to watch any filming done of themselves each evening. Also, during the course, to self-film a monologue, and work on a scene to self tape and submit to Mel at conclusion of the course. Day 1 -Monday | Time (UK) 10:30am – 1.00pm & 2:30pm – 5.15pm You will be introduced to the course, discuss screen acting, self-taping and talk about the actors’ toolbox. Mel will then invite you to each share a real-life story and do your given monologue. Here you will observe how specific you are, and how much muscle memory you still have in your body from your real experiences. You will explore games and techniques that allow you to find the same life and truth when you are using learned lines. Homework: Students to watch their work on playback. Day 2 -Tuesday | Time (UK) 10:30am – 1.00pm & 2:30pm – 5.15pm On day two you will continue on your real life stories and monologues. Continuing work on real stories/ monologues. Each actor will get individual time within the group. (all present can see but participant is filmed as solo performance to watch later.) Homework: Students to watch their work on playback. Scenes sent after class; partners chosen – these to be learned and self-taped after the course. Day 3 -Wednesday | Time (UK) 10:30am – 1.00pm & 2:30pm – 5.30pm On day three you will complete your individual monologue. Mel will also give you self-tape technical tips, elements toolbox and scenes read with partners. Homework: Studio watch their work on playback. Day 4 – Thursday | SELF WORK DAY – MEL NOT PRESENT Actors to film their monologues and send to Mel by 2pm latest! Scenes to be worked on in pairs (if possible) or explored alone. Day 5 – Friday | Time (UK) 10.30am – 1:00pm & 2.30pm – 5.15pm Watching filmed monologues together, with feedback. Toolbox, any remaining thoughts and games, feedbacks. roundup of the course. Homework: Students to film their scenes and send self-tapes within the next fortnight. (If no reader, course partner (or someone else) can read in remotely.) Every participant will have individual feedback on these self-tapes via a personal recording. Additional Information Features Intensive Short Course Small Class Size Held online via Zoom Suitable for all levels of ability Suitable if you are (17 yrs+) and committed to improving your screen acting skills Attracts a varied age range from 17 yrs+. International Students Welcome The course is taught in English, so it is important that you have proficient English language skills Learning Outcomes Increase your chances of getting work Add real life experiences to your acting performance Experience of working with an A-Lister Acting Coach Course Location Live Online Course Via Zoom Stable Internet Connection Required Webcam and Microphone Required Please log in at least 10 minutes before each session begins. A strong internet connection is required to join our live online courses and workshops. Please test your internet connection before booking as we cannot refund due to technical issues. Please familiarise yourself with Zoom before attending your workshop. Your camera will be required to be switched on during the workshop.Students will receive a Zoom link via email to join the workshop. Please log on at least 10 mins before the workshop begins.