2180 Testing courses

This comprehensive course is designed to transform individuals into skilled chefs, equipping them not only with culinary expertise but also management proficiency in the kitchen and restaurant settings. Covering a wide range of topics from fundamental cooking skills and recipe creation to kitchen management, food business basics, and restaurant management, participants will gain a holistic understanding of the culinary world. The course also includes a bonus of 20 diverse recipes to enhance practical cooking skills. Learning Outcomes: Master essential cooking and food preparation skills. Develop a deep understanding of kitchen equipment and tools. Learn about different cooking styles and cuisines. Understand the qualities and traits of successful chefs. Gain proficiency in outdoor cooking, baking, and vegetarian cooking. Acquire knowledge in managing restaurant operations effectively. Learn marketing strategies and quality control in the food business. Enhance culinary creativity through a variety of recipes. Why buy this Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes?  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 Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes you will be able to take the MCQ test that will assess your knowledge. 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 Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes course is ideal for Aspiring chefs looking to establish a strong culinary foundation. Individuals interested in pursuing a career in restaurant management. Cooks and food enthusiasts aiming to refine their skills. Culinary professionals seeking to expand their expertise. Prerequisites This Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes 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 Line Cook - Average Salary: £18,000 - £24,000 per year. Sous Chef - Average Salary: £25,000 - £35,000 per year. Head Chef - Average Salary: £30,000 - £45,000 per year. Executive Chef - Average Salary: £40,000 - £60,000 per year. Restaurant Manager - Average Salary: £25,000 - £40,000 per year. Course Curriculum Becoming a Chef Can TV Chefs Teach You To Cook? 00:30:00 Improving Cooking And Food Preparation Skills 00:15:00 Catering To Unique Tastes 00:30:00 Qualities Of A Successful Chef 00:30:00 Achieve Perfection As A Saucier 00:30:00 Becoming The Perfect Chef 01:00:00 Equipment For Perfect Chefs 00:30:00 How To Become The Perfect Chef: Attending School 00:30:00 The Keys To Getting and Using Feedback 00:30:00 What Can You Do With A Culinary Degree 01:00:00 Knife Skills For The Perfect Chef 00:30:00 Making Meals Easy to Eat Healthy 00:30:00 Plating for the At Home Chef 00:30:00 Perfect Chefs Choose A Speciality 00:30:00 Finding Local Cooking Classes 00:30:00 How Can You Become a Professional Chef 00:30:00 The Physical Qualities of the Perfect Chef 00:15:00 The Importance of Testing Recipes 00:15:00 The Chefs Important Baking Tools 01:00:00 The Learning Curve To Becoming The Perfect Chef 00:15:00 The Job of a Professional Chef 00:30:00 The Mix of Sweet, Spicy and Savory 00:30:00 The Perfect At Home Chef 00:30:00 The Perfect Chef Opens A Restaurant 00:15:00 The Physical Demand of Being a Chef 00:15:00 Kitchen Management Buying Kitchen Equipment: Tips And Tricks To Save Money 01:00:00 The Well Equipped Kitchen 00:15:00 Take Inventory 01:00:00 Be Wary Of The Latest Trends 01:00:00 Inexpensive Vs. Cheap 00:15:00 Needing Vs. Wanting 01:00:00 Comparison Shopping 01:00:00 How To Find The Best Deals 01:00:00 Secrets Of Outdoor Cooking Recipes 01:00:00 Once A Month Cooking Recipes 00:15:00 Mother's Day Cooking Made Easy 01:00:00 Mardi Gras Cooking Cajun Style 00:30:00 Learn To Cook Italian Food On Vacation 01:00:00 Cooking With A Dutch Oven 01:00:00 Recipes Of Italian Vegetarian Cooking 01:00:00 Home Cooking Network: An Array Of Recipes 00:30:00 America's Home Cooking: The Television Program 01:00:00 A Wonderful Experience With Outdoor Cooking Burners 00:30:00 Cooking For Sunday Dinner 01:00:00 Healthy Cooking Oils 01:00:00 Cooking Cajun Food 01:00:00 Paula's Home Cooking Recipes 00:30:00 The Importance Of Eating A Healthful Vegetarian Diet 01:00:00 Italian Food On A Date 00:30:00 The History Of Pasta In Italian Food 01:00:00 Review Of Different Vegetarian Cooking Shows 00:30:00 Italian Cooking Brochutto 01:00:00 Cooking Christmas Cookies 01:00:00 Back To Beginning For President's Day Cooking 00:30:00 Microwave Bacon Cooking Equipment 00:30:00 Cheap Italian Food In Milan 01:00:00 Chinese Cooking Wok 01:00:00 7 Useful Cooking Tips And Hints 01:00:00 Down Home Cooking 00:30:00 Italian Cooking School 00:30:00 Cooking Games 00:30:00 Italian Cooking Recipes 00:30:00 French Cooking Holidays 00:30:00 Managing Restaurant Food Business Basics 01:00:00 Put Together Your Business Concept 00:30:00 Identify your Target Market 00:30:00 Identify Your Competition 00:30:00 Write A Mission Statement 00:30:00 Downline Basics 00:30:00 Equipment And Supplies 00:30:00 Marketing And Quality Control 00:30:00 Wrapping Up 00:15:00 Recipes Recipe - I 01:00:00 Recipe - II 01:00:00 Recipe - III 01:00:00 Recipe - IV 01:00:00 Recipe - V 01:00:00 Recipe - VI 00:10:00 Recipe - VII 00:10:00 Recipe - VIII 00:12:00 Recipe - IX 00:10:00 Recipe - X 00:15:00 Recipe - XI 00:30:00 Recipe - XII 00:30:00 Recipe - XIII 00:15:00 Recipe - XIV 00:30:00 Recipe - XV 00:30:00 Recipe - XVI 00:10:00 Recipe -XVII 00:15:00 Recipe -XVIII 00:15:00 Recipe -XIX 00:13:00 Recipe -XX 00:10:00 Recommended Reading Recommended Reading: Professional Cooking, Kitchen and Restaurant Management 00:00:00 Mock Exam Mock Exam- Professional Cooking, Kitchen and Restaurant Management 00:20:00 Final Exam Final Exam- Professional Cooking, Kitchen and Restaurant Management 00:20:00

First Aid at Work - Annual Refresher

Level 3 QLS Endorsed Diploma | 120 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Create a Responsive HTML Email Template Course Overview The "Create a Responsive HTML Email Template" course is designed to equip learners with the essential skills needed to build professional, responsive email templates. Covering the basics of HTML and CSS, this course enables learners to create visually appealing and functional email layouts that adapt seamlessly across various devices and screen sizes. Learners will gain an understanding of email best practices, from structure to styling, ensuring their emails are both engaging and accessible. This course provides invaluable knowledge for those looking to enhance their skills in digital marketing, web development, and email communication, making it an essential addition to any professional's toolkit. Course Description This course dives into the fundamentals of creating a responsive HTML email template, starting with setting up the files and designing the graphics. Learners will explore key topics, including HTML structure, CSS styling, and how to integrate interactive elements like buttons. The course also covers essential techniques for ensuring compatibility across email platforms and testing templates for errors. Participants will leave with the confidence to build fully responsive emails that look great on all devices and meet industry standards. This course offers a well-rounded approach, blending both design and technical knowledge, with a focus on making emails user-friendly and visually appealing. By the end, learners will be equipped to create high-quality email templates for personal or professional use. Create a Responsive HTML Email Template Curriculum Module 01: Introduction And Set-Up Files Module 02: Creating The Graphics Module 03: Creating The HTML Email Module 04: Creating Buttons With HTML And CSS Module 05: Adding CSS To The Email Module 06: Pushing The Envelope Module 07: Validating And Testing Module 08: Where To Go From Here (See full curriculum) Who is this course for? Individuals seeking to improve their email marketing skills. Professionals aiming to expand their web development expertise. Beginners with an interest in creating engaging email content. Digital marketers looking to enhance email communication strategies. Career Path Email Marketing Specialist Web Developer Digital Marketing Coordinator Front-End Developer Marketing Campaign Manager

Description Register on the Deep Learning & Neural Networks Python - Keras today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Deep Learning & Neural Networks Python - Keras course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content 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 - Data Preparation - Standardization 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 Handwritten Digit Recognition Dataset 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

Course Overview Find the ultimate guide for learning Django framework by taking this Django REST Framework - Full Stack Python APIs using Python course. In this course, you will learn the techniques to build Python Rest APIs using the Django framework. This Django REST Framework - Full Stack Python APIs using Python course breaks tools and techniques to enhance your understanding of the Django framework and its features. The project-based course provides step-by-step instructions on how to create a Rest API from scratch. You will start the course by learning how to set up a Django development environment and proceed towards the fundamental steps in creating a Rest API project. You will gain the knowledge to develop Rest APIs using function-based views and class-based views. You will also learn the best practices to secure your Rest APIs. Learning Outcomes Gain in-depth knowledge Rest API Learn hope to configure the Rest API Identify the importance of Django Framework Deepen your understanding of mixins and generic views Know how to create Rest APIs using function based views Learn how to create viewset Be able to create Rest APIs with class based views Who Is This Course For? The Django REST Framework - Full Stack Python APIs using Python course is incredibly beneficial for professionals interested in learning how to create Python Rest APIs in Django Framework.  Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of English language, numeracy and ICT skills are required to take this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognized accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Career Path Django REST Framework - Full Stack Python APIs using Python provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as Full Stack- Lead Software Developer Python/Django Developer Backend Developer Software Engineer-Python Unit 01: Start Here Module 01: Course and Instructor Introduction 00:03:00 Module 02: How to make the best of this course 00:02:00 Unit 02: Introduction Module 01: What is REST? 00:06:00 Module 02: Why REST 00:08:00 Module 03: What and Why DJango REST Framework 00:06:00 Unit 03: Software Setup Module 01: Install DJango 00:03:00 Module 02: Install DJango REST Framework 00:01:00 Module 03: Install MySql and MySql workbench 00:03:00 Module 04: Launch MySql workbench 00:02:00 Module 05: Install python mysqlclient 00:01:00 Module 06: Install ATOM 00:03:00 Module 07: Install Postman 00:01:00 Unit 04: REST in Action Module 01: Create the Project 00:03:00 Module 02: Create a view 00:02:00 Module 03: Configure the URL and TEST 00:03:00 Module 04: Create app level urls 00:02:00 Module 05: Create a model class 00:03:00 Module 06: Configure the database and run migrations 00:03:00 Module 07: Use the model in the view and test 00:03:00 Unit 05: Function Based Views and Serializers Module 01: DRF Components 00:06:00 Module 02: Function Based Views 00:05:00 Module 03: Serializers 00:04:00 Module 04: Create the Project 00:02:00 Module 05: Create the Model 00:02:00 Module 06: Create the Serializer 00:02:00 Module 07: GET single student 00:04:00 Module 08: Create Student 00:04:00 Module 09: Implement Non Primary Key Based Operations 00:07:00 Module 10: Use @api_view 00:01:00 Module 11: Configure the URLs 00:02:00 Module 12: Test 00:07:00 Module 13: Test Using Postman 00:04:00 Unit 06: Class Based Views Module 01: Introduction 00:03:00 Module 02: Create the Project 00:03:00 Module 03: Implement Non Primary Key Based Operations 00:06:00 Module 04: Implement Primary Key Based Operations 00:07:00 Module 05: Configure the URLs and TEST 00:04:00 Unit 07: Mixins Module 01: Introduction 00:05:00 Module 02: Non Primary Key based operations 00:04:00 Module 03: Primary Key based operations 00:02:00 Module 04: Configure the URLs and TEST 00:02:00 Unit 08: Generic Views Module 01: Generics 00:03:00 Module 02: Generics in action 00:03:00 Unit 09: ViewSets Module 01: Introduction 00:03:00 Module 02: Create ViewSet 00:02:00 Module 03: Configure URLs and Test 00:04:00 Unit 10: Nested Serializers Module 01: Create the project 00:02:00 Module 02: Create model 00:03:00 Module 03: Create Serializers 00:04:00 Module 04: Create REST endpoints 00:03:00 Module 05: Configure URLs 00:02:00 Module 06: Test 00:03:00 Unit 11: Pagination Module 01: Introduction 00:06:00 Module 02: Pagination in action 00:05:00 Module 03: Pagination at class level 00:03:00 Module 04: Using LimitOffsetPagination 00:01:00 Unit 12: Security Module 01: Introduction 00:04:00 Module 02: Authentication in action 00:03:00 Module 03: Authorization in action 00:06:00 Module 04: Global Security 00:04:00 Unit 13: Flight Reservation API Module 01: Usecase 00:01:00 Module 02: Create the Project 00:01:00 Module 03: Create Model Classes 00:03:00 Module 04: Create Reservation Model 00:01:00 Module 05: Create Serializers 00:01:00 Module 06: Create ViewSets 00:02:00 Module 07: Configure the Router 00:02:00 Module 08: Run Migrations 00:01:00 Module 09: Initial round of testing 00:04:00 Module 10: Implement findFlights endpoint 00:03:00 Module 11: Test findFlights 00:05:00 Module 12: Implement Save Reservation 00:06:00 Module 13: Test Save Reservation 00:04:00 Unit 14: Validations Module 01: In-Built Validations 00:04:00 Module 02: Allowing Blank and Null Values 00:02:00 Module 03: Create Custom Validator 00:05:00 Module 04: Two more ways 00:07:00 Unit 15: Token Auth Module 01: Introduction 00:03:00 Module 02: Configure Token Auth 00:05:00 Module 03: Create Users and Token 00:04:00 Module 04: Token Auth in action 00:03:00 Module 05: Automate Token Creation 00:09:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description The Professional Chef Training training course is delivered through Janets' online learning platform. Access the Professional Chef Training content from any internet-enabled device whenever or wherever you want to. The Professional Chef Training course has no formal teaching deadlines, meaning you are free to complete the course at your own pace. Follow your dreams by enrolling on the Professional Chef Training course today and develop the experience, skills and knowledge you need to enhance your professional development. Professional Chef Training will help you arm yourself with the qualities you need to work towards your dream job. Study the Professional Chef Training training course online with Janets through our online learning platform and take the first steps towards a successful long-term career. The Professional Chef Training course will allow you to enhance your CV, impress potential employers, and stand out from the crowd.  This Professional Chef Training course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Study the Professional Chef Training course through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the Professional Chef Training course, to ensure you are supported every step of the way. Get a digital certificate as proof of your Professional Chef Training course completion. Janets is one of the top online training course providers in the UK, and we want to make education accessible to everyone! Learn the essential skills you need to succeed and build a better future for yourself with the Professional Chef Training course. The Professional Chef Training course is designed by industry experts and is tailored to help you learn new skills with ease.  The Professional Chef Training is incredibly great value and allows you to study at your own pace. With full course access for one year, you can complete the Professional Chef Training when it suits you. Access the Professional Chef Training course modules from any internet-enabled device, including computers, tablets, and smartphones. The Professional Chef Training course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the Professional Chef Training now and start learning instantly! What You Get Out Of Studying Retail Management & Merchandising With Janets: Receive a digital Certificate upon successful completion of the Professional Chef Training course Get taught by experienced, expert instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who Is This Course For: The Professional Chef Training is ideal for those who already work in this sector or are an aspiring expert. This Professional Chef Training course is designed to enhance your expertise and boost your CV. Learn key skills and gain an expert lesson to prove your newly-acquired knowledge. Requirements: The Professional Chef Training is open to all students and has no formal entry requirements. To study the Professional Chef Training course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career Path: The Professional Chef Training is ideal for anyone who wants to pursue their dream career in a relevant industry. Learn the skills you need to boost your CV and go after the job you want. Complete the Professional Chef Training and gain an industry-acknowledged lesson that will help you excel in finding your ideal job. Course Content Cooking (Chef) Course Can TV Chefs Teach You To Cook? 00:05:00 Improving Cooking And Food Preparation Skills 00:05:00 Catering To Unique Tastes 00:30:00 Qualities Of A Successful Chef 00:30:00 Achieve Perfection As A Saucier 00:05:00 Becoming The Perfect Chef 00:25:00 Equipment For Perfect Chefs 00:15:00 How To Become The Perfect Chef: Attending School 00:05:00 The Keys To Getting and Using Feedback 00:05:00 What Can You Do With A Culinary Degree 00:20:00 Knife Skills For The Perfect Chef 00:10:00 Making Meals Easy to Eat Healthy 00:05:00 Plating for the At Home Chef 00:10:00 Perfect Chefs Choose A Speciality 00:05:00 Finding Local Cooking Classes 00:05:00 How Can You Become a Professional Chef 00:10:00 The Physical Qualities of the Perfect Chef 00:05:00 The Importance of Testing Recipes 00:05:00 The Chefs Important Baking Tools 00:25:00 The Learning Curve To Becoming The Perfect Chef 00:05:00 The Job of a Professional Chef 00:05:00 The Mix of Sweet, Spicy and Savory 00:05:00 The Perfect At Home Chef 00:10:00 The Perfect Chef Opens A Restaurant 00:05:00 The Physical Demand of Being a Chef 00:05:00 Recipes Recipe - I 00:10:00 Recipe - II 00:10:00 Recipe - III 00:10:00 Recipe - IV 00:10:00 Recipe - V 00:10:00 Recipe - VI 00:10:00 Recipe - VII 00:10:00 Recipe - VIII 00:10:00 Recipe - IX 00:10:00 Recipe - X 00:10:00 Recipe - XI 00:10:00 Recipe - XII 00:15:00 Recipe - XIII 00:10:00 Recipe - XIV 00:10:00 Recipe - XV 00:10:00 Recipe - XVI 00:10:00 Recipe -XVII 00:15:00 Recipe -XVIII 00:10:00 Recipe -XIX 00:10:00 Recipe -XX 00:10:00 Recipe-XXI 01:00:00 Recipe-XXII 01:00:00 Recipe-XXIII 01:00:00 Recipe-XXIV 01:00:00 Recipe-XXV 01:00:00 Recipe-XXVI 01:00:00 Recipe-XXVII 01:00:00 Recipe-XXVIII 01:00:00 Recipe-XXIX 01:00:00 Recipe-XXX 01:00:00 Recipe-XXXI 01:00:00 Recipe-XXXII 01:00:00 Recipe-XXXIII 01:00:00 Recipe-XXXIV 01:00:00 Recipe-XXXV 01:00:00 Recipe-XXXVI 01:00:00 Recommended Reading Recommended Reading : Chef Essential Training 00:00:00 Mock Exam Mock Exam - Chef Essential Training 00:20:00 Final Exam Final Exam - Chef Essential Training 00:20:00 Assignment Assignment - Professional Chef Training 3 weeks, 3 days Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Course Overview Be fully prepared for the IELTS writing test and develop your English grammar skills, with the IELTS Writing Task 1 Complete Guide. This course is ideal for anyone looking to enhance their English writing skills, as well as IELTS Teachers who wish to improve their teaching methods.  In this instructor-led training course, you will be taken through the format of the IELTS assessment, as well as the kinds of questions you will need to answer. It will teach what to expect from the exam, and help you to develop learning strategies for approaching different test questions. By the end of this course, you will feel much more confident in writing English, and will have a much more developed vocabulary. You will be able to apply the techniques and best practices learned in this course to write using complex sentences, complying with grammar and punctuation rules. This best selling IELTS Writing Task 1 Complete Guide has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth IELTS Writing Task 1 Complete Guide is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The IELTS Writing Task 1 Complete Guide is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The IELTS Writing Task 1 Complete Guide is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the IELTS Writing Task 1 Complete Guide, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the IELTS Writing Task 1 Complete Guide will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the IELTS Writing Task 1 Complete Guide to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for Students in this course are interested in implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. Overview After completing this course, students will be able to: Plan for the transformation with shared goals and timelines Select a project and identify project metrics and Key Performance Indicators (KPI's) Create a team and agile organizational structure Design a tool integration strategy Design a license management strategy (e.g., Azure DevOps and GitHub users) Design a strategy for end-to-end traceability from work items to working software Design an authentication and access strategy Design a strategy for integrating on-premises and cloud resources Describe the benefits of using Source Control Describe Azure Repos and GitHub Migrate from TFVC to Git Manage code quality including technical debt SonarCloud, and other tooling solutions Build organizational knowledge on code quality Explain how to structure Git repos Describe Git branching workflows Leverage pull requests for collaboration and code reviews Leverage Git hooks for automation Use Git to foster inner source across the organization Explain the role of Azure Pipelines and its components Configure Agents for use in Azure Pipelines Explain why continuous integration matters Implement continuous integration using Azure Pipelines Define Site Reliability Engineering Design processes to measure end-user satisfaction and analyze user feedback Design processes to automate application analytics Manage alerts and reduce meaningless and non-actionable alerts Carry out blameless retrospectives and create a just culture Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure Implement compliance and security in your application infrastructure Describe the potential challenges with integrating open-source software Inspect open-source software packages for security and license compliance Manage organizational security and compliance policies Integrate license and vulnerability scans into build and deployment pipelines Configure build pipelines to access package security and license ratings This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms. Module 1: Get started on a DevOps transformation journey Introduction to DevOps Choose the right project Describe team structures Choose the DevOps tools Plan Agile with GitHub Projects and Azure Boards Introduction to source control Describe types of source control systems Work with Azure Repos and GitHub Module 2: Development for enterprise DevOps Structure your Git Repo Manage Git branches and workflows Collaborate with pull requests in Azure Repos Explore Git hooks Plan foster inner source Manage Git repositories Identify technical debt Module 3: Implement CI with Azure Pipelines and GitHub Actions Explore Azure Pipelines Manage Azure Pipeline agents and pools Describe pipelines and concurrency Explore Continuous integration Implement a pipeline strategy Integrate with Azure Pipelines Introduction to GitHub Actions Learn continuous integration with GitHub Actions Design a container build strategy Module 4: Design and implement a release strategy Introduction to continuous delivery Explore release strategy recommendations Build a high-quality release pipeline Introduction to deployment patterns Implement blue-green deployment and feature toggles Implement canary releases and dark launching Implement A/B testing and progressive exposure deployment Module 5: Implement a secure continuous deployment using Azure Pipelines Create a release pipeline Provision and test environments Manage and modularize tasks and templates Automate inspection of health Manage application configuration data Integrate with identity management systems Implement application configuration Module 6: Manage infrastructure as code using Azure and DSC Explore infrastructure as code and configuration management Create Azure resources using Azure Resource Manager templates Create Azure resources by using Azure CLI Explore Azure Automation with DevOps Implement Desired State Configuration (DSC) Implement Bicep Module 7: Implement security and validate code bases for compliance Introduction to Secure DevOps Implement open-source software Software Composition Analysis Static analyzers OWASP and Dynamic Analyzers Security Monitoring and Governance Module 8: Design and implement a dependency management strategy Explore package dependencies Understand package management Migrate, consolidate, and secure artifacts Implement a versioning strategy Introduction to GitHub Packages Module 9: Implement continuous feedback Implement tools to track usage and flow Develop monitor and status dashboards Share knowledge within teams Design processes to automate application analytics Manage alerts, Blameless retrospectives and a just culture Additional course details: Nexus Humans AZ-400 Designing and Implementing Microsoft DevOps Solutions training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AZ-400 Designing and Implementing Microsoft DevOps Solutions course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.