2025 Testing courses in Liverpool delivered Online

Duration 5 Days 30 CPD hours This course is intended for The audience for this course includes enterprise-level messaging administrators on Exchange Server. IT generalists and helpdesk professionals who want to learn about Exchange Server may also take this course. Students taking this course are expected to have at least two years of experience working in the IT field-typically in the areas of Windows Server administration, network administration, helpdesk, or system administration. They are also expected to have some experience with Exchange Server concepts but previous experience managing Exchange Server is not a requirement. Overview After completing this course, students will be able to: Deploy Exchange Server. Plan and configure storage for Exchange Server. Create and manage various recipient objects in Exchange Server. Perform recipient management and Exchange server management tasks by using Exchange Server cmdlets. Deploy Client Access services in Exchange Server. Manage high availability in Exchange Server. Implement disaster recovery for Exchange Server. Configure and manage message transport in Exchange Server. Configure message security in Exchange Server. Monitor and troubleshoot Exchange Server. Configure Exchange Server role-based access control permissions and configure audit logging for both administrators and users. Implement and manage integration with Exchange Online. This course teaches IT professionals how to administer and support Exchange Server. The course covers how install and configure Exchange Server. It also covers how to manage mail recipients and public folders, including how to perform bulk operations by using Exchange Management Shell. In addition, the course covers how to manage client connectivity, message transport and hygiene, and highly available Exchange Server deployments. It also covers how to implement disaster recovery solutions. Finally, the course covers how to maintain and monitor an Exchange Server deployment and how to administer Exchange Online in a Office 365 deployment. Deploying Microsoft Exchange Server 2016 Overview of Exchange Server Exchange Server architecture Requirements for Exchange Server Deploying Exchange Server Exchange Server Exchange Server Management Tools Lab : Deploying Exchange Server Managing Exchange Server 2016 storage Exchange Server mailbox databases Exchange Server storage Configuring Exchange Server mailbox databases and storage Lab : Configuring Exchange Server storage Managing recipient objects Managing user mailboxes Managing other types of mailboxes Managing other recipients objects Configuring policies and address lists Lab : Managing recipient objects Lab : Configuring address lists and policies Managing recipients and Exchange servers by using Exchange Server cmdlets Overview of the Exchange Management Shell Managing Exchange Servers by using Exchange Management Shell cmdlets Managing Exchange servers by using scripts Lab : Managing Exchange Server and recipient objects by using Exchange Management Shell Implementing client connectivity Configuring client access services Managing client access services Client connectivity in Exchange Server Configuring Outlook on the web Configuring mobile messaging Lab : Configuring client access services Lab : Deploying and configuring client access services on Exchange Server Managing high availability in Exchange Server High availability on Exchange Server Configuring highly available mailbox databases Configuring high availability of Client Access services Lab : Implementing DAGs Lab : Implementing and testing high availability Implementing disaster recovery for Exchange Server Implementing Exchange Server backup Implementing Exchange Server recovery Lab : Backing up Exchange Server data Lab : Restoring Exchange Server data Configuring and managing message transport Overview of message transport Configuring message transport Managing transport rules Lab : Configuring and managing message transport Configuring message security Deploying and managing an Edge Transport server for message security Implementing an antivirus solution for Exchange Server Implementing an antispam solution for Exchange Server Lab : Configuring message security in Exchange Server Monitoring and troubleshooting Exchange Server Monitoring Exchange Server Troubleshooting Exchange Server Lab : Monitoring and troubleshooting Exchange Server Securing and maintaining Exchange Server Securing Exchange Server by using RBAC Configuring audit logging in Exchange Server Maintaining Exchange Server Lab : Securing and maintaining Exchange Server Implementing and managing Exchange Online deployments Overview of Exchange Online and Office 365 Managing Exchange Online Implementing the migration to Exchange Online Managing a hybrid environment Lab : Managing Exchange Online Additional course details: Nexus Humans 20345-1 Administering Microsoft Exchange Server 2016/2019 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 20345-1 Administering Microsoft Exchange Server 2016/2019 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.

Course Overview Amp up your project management skills to meet your project requirements and shape your organisation's success. Project managers are responsible for the successful planning and execution of projects. This Academic IELTS Test Preparation Course is designed to help you learn the proven project management skills and techniques to manage projects from beginning to end. The course will give you clear ideas on project management basics, different project types, and the techniques applied to project activities for successful project completion. During the course, you'll gain insights into project management steps, such as project initiation, execution, monitoring, and closing. On top of that, you'll explore the steps involved in project team building and acquire knowledge of earned value management to measure project performance. Learning Outcomes Discover the crucial steps to project success Familiarise yourself with different types of projects Identify the steps involved in project initiation, execution, monitoring and closing Understand what makes a successful project management team Learn about Earned Value Management (EVM) for project performance measurement Determine what is a change control process in project management Who is the Academic IELTS Test Preparation Course for? This Academic IELTS Test Preparation Course is perfect for aspiring professionals in the relevant industry, such as people with careers in: Project Manager Project Executive Project Administrator Project Co-ordinator Project Lead It will deepen their knowledge and help them establish the fundamental skills for project management. Why Choose this Diploma in Academic IELTS Test Preparation Course ? Affordable, well-structured and high-quality e-learning study materials Engaging tutorial videos, materials from the industry-leading experts Opportunity to study in a user-friendly, advanced online learning platform Efficient exam systems for the assessment and instant result The UK & internationally recognised accredited qualification Access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities 24/7 student support via email. Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. A good understanding of the English language, numeracy, and ICT are required to attend this course. Assessment At the end of the course, you will be required to sit for an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. However, you can also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Section 01: Introduction Welcome Aboard 00:09:00 Fundamentals 00:33:00 Types of Questions 00:24:00 Section 02: How to Answer 'Always In Order' Question How to Answer Fill-in-the Blank Questions 00:30:00 Fill-in-the-Blank: Practice Set 1 00:24:00 Fill-in-the-Blank: Practice Set 2 00:22:00 How to Answer Short Answer Questions 00:24:00 Short Answer: Practice Set 1 00:29:00 Short Answer: Practice Set 2 00:24:00 How to Answer Yes/No/Not Given Questions 00:27:00 Yes/No/Not Given: Practice Set 1 00:34:00 Yes/No/Not Given: Practice Set 2 00:31:00 How to Answer Multiple Choice Questions 00:18:00 Multiple Choice: Practice Set 1 00:19:00 Multiple Choice: Practice Set 2 00:21:00 Section 03: How to Answer 'Mostly in Order' Questions How to Answer Sentence Completion Questions 00:18:00 Sentence Completion: Practice Set 1 00:14:00 Sentence Completion: Practice Set 2 00:17:00 How to Answer Table Questions 00:25:00 Table: Practice Set 1 00:16:00 Table: Practice Set 2 00:30:00 How to Answer Diagram Questions 00:22:00 Diagram: Practice Set 1 00:17:00 Diagram: Practice Set 2 00:12:00 How to Answer Flowchart Questions 00:16:00 Flowchart: Practice Set 1 00:20:00 Flowchart: Practice Set 2 00:29:00 How to Answer Summary Questions 00:26:00 Summary: Practice Set 1 00:27:00 Summary: Practice Set 2 00:27:00 Section 04: How to Answer 'Not in Order' Questions How to Answer Matching Questions 00:21:00 Matching: Practice Set 1 00:17:00 Matching: Practice Set 2 00:24:00 How to Answer Paragraph Location Questions 00:18:00 Paragraph Location: Practice Set 1 00:29:00 Paragraph Location: Practice Set 2 00:21:00 How to Answer Headings Questions 00:23:00 Headings: Practice Set 1 00:22:00 Headings: Practice Set 2 00:18:00 How to Answer Pick from List Questions 00:29:00 Pick From List: Practice Set 1 00:16:00 Pick From List: Practice Set 2 00:27:00 Section 05: How to Answer Reading Passages from Start to Finish Full Reading Test - Passage 1 00:36:00 Full Reading Test - Passage 2 00:36:00 Full Reading Test - Passage 3 00:02:00 Final Tips 00:11:00 Assignment Assignment - Academic IELTS Test Preparation Course 00:00:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Register on the SQL NoSQL Big Data and Hadoop 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 digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, 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 The SQL NoSQL Big Data and Hadoop Receive a e-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) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification 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. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. 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. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, 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. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

Duration 3 Days 18 CPD hours Discover and explore how to use the fundamental building blocks of the Swift programming language. class will teach you the basic concepts of Swift programming, including syntax, logic, structures, functions, and patterns. It also includes detailed explanations of language syntax and coding exercises. Introduction to Swift Constants, Variables, and Data TypesOperatorsControl FlowStrings & FunctionsStructures & ClassesOptionalsCollectionsLoopsType CastingGuard StatementsScope & EnumerationsProtocolsClosuresExtensions

jQuery is a very powerful framework used by all the big companies like Microsoft, Apple, Google etc. It is cross-platform.

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

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