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This valuable course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then Professional Diploma in Makeup and Nail Technician is for you. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the full CPD accredited qualification. And, there are no hidden fees or exam charges. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. 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Course Curriculum Cosmetics and Makeup What is a Cosmetic? 00:15:00 Cosmetics - From Tradition to Modernity 00:15:00 Equipment - Makeup Kits 00:15:00 Skin 00:30:00 Face 00:30:00 Lips 00:30:00 Eyes 00:30:00 Ten-Step Guide to Perfect Makeup 00:30:00 Special Makeup Applications 00:30:00 Essential Equipment for the Professional 00:15:00 Advanced Makeup Applications 00:15:00 Acne Treatment Acne Treatment 01:00:00 Myths About Acne 01:00:00 The Acne Diet 01:00:00 Vitamins and Natural Ingested Acne Cures 01:00:00 Aromatherapy For Acne Treatment 01:00:00 Acne Treatments In Your Refrigerator 01:00:00 Acne Cures In Your Medicine Cabinet 01:00:00 Store Bought Topical Solutions 01:00:00 Acne Skin Care Regimen 01:00:00 Make up with Acne 01:00:00 Tetracycline 00:30:00 Light Therapy 01:00:00 Dermabrasion and Laser Therapy 00:30:00 Things Not To Do About Acne 00:30:00 Things To Do About Acne 01:00:00 Nail Designing & Manicure Introduction to Nail Technology 00:30:00 The Nail Salon Basics 00:30:00 The Anatomy of the Skin 00:15:00 The Anatomy of the Nail 00:15:00 Nail Diseases & Disorders 00:15:00 The Manicuring Process 00:30:00 Manicure Tools and Equipment 01:00:00 How to Do Nail Art 01:00:00 Create a Marble Nail Effect Using Water 00:30:00 Galaxy Nail Art 00:15:00 Ombre Nails 00:30:00 The Process of Performing a Pedicure 00:30:00 Scrub Pedicure 00:15:00 Hydration Pedicure 00:15:00 Aromatherapy Pedicure 00:30:00 Gel Manicures and Pedicures 01:00:00 Acrylic Nail/Tip Application Process 00:30:00 Acrylic Powders 00:15:00 Professional Nail Tips 00:15:00 Nail Care Products 00:30:00 Trouble shooting acrylic nails 00:15:00 Your Skills 00:30:00 Client Consultation and Aftercare 00:15:00 Infection Control and Hygiene 00:15:00 Health, Hygiene & Safety 01:00:00 Salon Safety 00:15:00 How to Create a Successful Nail Technician Business 01:00:00 Business Plan 00:30:00 Clients 01:00:00 Marketing 01:00:00 How to Start a Nail Salon Business 00:30:00 Nail Salon Professionalism 00:30:00 Ways to Increase Your Profit 00:30:00 Mock Exam Mock Exam - Professional Diploma in Makeup and Nail Technician 00:30:00 Final Exam Final Exam- Professional Diploma in Makeup and Nail Technician 00:30:00
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This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand. And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite. You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00
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Career path The Property Development and Management Bundle will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Course 01: Property Management Introduction to Property Management 00:13:00 The Role and Responsibilities of a Property Manager 00:12:00 Listing Properties and Marketing 00:25:00 The Letting Process and Tenancy Agreement 00:31:00 The Property Management Process 00:33:00 Keeping Tenants Long Term 00:12:00 Regulations of Property Management 00:13:00 Changes in the UK Property Market: An Opportunity 00:13:00 Course 02: Estate Agent Diploma Module 1 - Estate Agent: An Introduction 00:21:00 Module 2 - Different Types of Estate Agents 00:16:00 Module 3 - Getting Started on the Job 00:16:00 Module 4 - Listing Property: Finding the Sellers 00:24:00 Module 5 - Valuation Process 00:21:00 Module 6 - Negotiating As an Estate Agent 00:13:00 Module 7 - Selling Property: Finding the Buyers 00:23:00 Module 8 - Letting Property 00:31:00 Module 9 - Technology for Estate Agents 00:22:00 Module 10 - Regulation of Estate Agents 00:14:00 Course 03: Real Estate Investment Training Introduction Introduction Super Real Estate Investing 00:11:00 Why Real Estate Continues to Be the Best Investment for Most People 00:13:00 Getting Amazing Deals On Properties How to buy houses for super cheap 00:21:00 How to use direct marketing to reach motivated sellers 00:16:00 How To Finance Real Estate Deals Secrets to financing all kinds of deals 00:17:00 Understanding Hard Money 00:07:00 More Hard Money Examples 00:11:00 How To Execute Effective Exit Strategies The best exit strategies in real estate 00:14:00 Secrets to wholesaling properties to other investors 00:14:00 Secrets to rehabbing the property and maximizing profit 00:07:00 Making Money With Tax Lien Certificates And Deeds Secrets to buying tax lien certificates and tax deeds 00:09:00 Building Wealth And Passive Income Through Rental Properties Buying and renting for maximum passive income 00:16:00 REI Secrets, Tips, and Tricks 00:13:00 More REI Secrets, Tips, and Tricks 00:11:00 Even more REI Secrets, Tips, and Tricks 00:09:00 Conclusion Conclusion Super Real Estate 00:06:00 Course 04: Property Developer Course Property Developer Background 00:30:00 The Basics 00:30:00 Housebuilders 00:30:00 Commercial Developers 00:30:00 The Development Process 00:30:00 Doing the Sums Introduction 00:30:00 Doing the Sums Residual Land Value Analysis 00:30:00 Conclusion 00:15:00 Property Development What is Property Development? 00:05:00 The Players in the Property Market 00:05:00 The Risks of Property Development 00:05:00 The Stages of a Property Development 00:05:00 Site Identification and Acquisition 00:05:00 Property Management 00:05:00 Property Management Selecting The Best Properties 00:05:00 Leasing Instead Of Selling 00:05:00 Buyers Interest 00:05:00 Be Zone Conscious 00:05:00 Home Loans 00:15:00 Knowing When You're Ready To Buy 00:15:00 Is Your Lake Home For Sale? 01:00:00 Living The Waterfront Lifestyle Every Day 00:05:00 How To Locate Waterfront Property Rentals 00:05:00 Real Estate Front 00:05:00 How To Maintain Waterfront Property 00:05:00 All About Real Estate Clients 00:05:00 Real Estate Evaluation 00:05:00 Are You Ready To Buy Your First Property? 00:05:00 Finding The Actual Real Estate For Sale 00:05:00 Home Shopping: The Smart Way 00:05:00 How Much Land Do You Need? 00:05:00 Real Estate Investments 00:05:00 Manufacturing Real Estate Numbers 00:05:00 Waterfront Real Estate 00:05:00 Purchasing A Home Beside A Lake 00:05:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
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Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples Additional course details: Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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.
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