1390 Scratch courses in Belfast delivered Online

Indulge your passion for chocolate and transform it into a skill with our comprehensive Chocolate Making Training. Whether you're a budding chocolatier, a baking enthusiast, or simply a chocolate lover, this course is designed to take your appreciation of chocolate to the next level. Join us on this delectable journey and master the art of chocolate making from scratch. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access This Chocolate Making Training course offers a comprehensive guide to becoming a skilled chocolatier. You will start with the basics, learning about the history and types of chocolate. You'll then dive into the chocolate-making process, understanding how to transform cocoa beans into delicious bars. The course also covers a variety of chocolate cake recipes, teaching you how to bake rich, moist cakes with different techniques and flavors. Additionally, you'll explore more advanced recipes, creating a range of chocolate treats and desserts. By the end of the course, you'll have the knowledge and skills to make high-quality chocolate products, from bars to cakes and other delightful confections. Whether you're a beginner or looking to enhance your chocolate-making abilities, this training will provide you with all the essential tools and techniques. Course Curriculum Module 01: Introduction to Chocolate Module 02: Making Chocolate: From Bean to Bar Module 03: Chocolate Cake Recipes Module 04: More Recipes of Chocolate Learning Outcomes Understand the history and varieties of chocolate. Learn the process of making chocolate from bean to bar. Master essential techniques for crafting chocolate cakes. Explore a variety of advanced chocolate recipes. Gain knowledge of chocolate production from raw ingredients. Develop skills in creating diverse chocolate-based confections. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring chocolatiers seeking foundational knowledge. Baking enthusiasts interested in chocolate creations. Culinary students expanding their dessert repertoire. Hobbyists passionate about chocolate making. Entrepreneurs starting a chocolate-based business. Career path Chocolatier Pastry Chef Bakery Owner Dessert Specialist Culinary Instructor Food Product Developer Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

2 QLS Endorsed Courses | CPD Certified | Free PDF & Hardcopy Certificates | 180 CPD Points | Lifetime Access

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Feeling Stuck in Your Career? The Data Science with Python (30 in 1) CPD Accredited Courses! Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Data Science with Python bundle provides an engaging learning experience, helping you learn skills across various disciplines. With Data Science with Python (30 in 1) CPD Accredited Courses! Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Data Science with Python bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set. By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Data Science with Python (30 in 1) CPD Accredited Courses! bundle on your job life and career growth! This Data Science with Python (30 in 1) CPD Accredited Courses! Bundle Comprises the Following CPD Accredited Courses:3 Course 01: Python Data Science Course 02: R Programming for Data Science Course 03: Quick Data Science Approach from Scratch Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Programming AutoCAD with SQL Server Database Using C# Course 06: Big Data Analytics with PySpark Power BI and MongoDB Course 07: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 08: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 09: Data Center Training Essentials: Power & Electrical Course 10: Building Big Data Pipelines with PySpark MongoDB and Bokeh Course 11: Clinical Data Management with SAS Programming Course 12: Certificate in Data Entry and Management Course 13: Business Intelligence and Data Mining Course 14: Set Menu Prices for your restaurant using data Course 15: Data Analysis In Excel Course 16: Data Protection Course 17: Learn Python, JavaScript, and Microsoft SQL for Data science Course 18: Spatial Data Visualisation and Machine Learning in Python Course 19: Python Intermediate Training Course 20: Complete Python Machine Learning & Data Science Fundamentals Course 21: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 22: Deep Learning & Neural Networks Python - Keras Course 23: The Complete Python 3 Course: Beginner to Advanced! Course 24: Career Development Plan Fundamentals Course 25: CV Writing and Job Searching Course 26: Learn to Level Up Your Leadership Course 27: Networking Skills for Personal Success Course 28: Ace Your Presentations: Public Speaking Masterclass Course 29: Learn to Make a Fresh Start in Your Life Course 30: Motivation - Motivating Yourself & Others What will make you stand out? Upon completion of this online Data Science with Python (30 in 1) CPD Accredited Courses! Bundle, you will gain the following: CPD QS Accredited Proficiency with this Data Science with Python Bundle After successfully completing the Data Science with Python bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Data Science with Python Bundle The online test with immediate results You can study and complete the Data Science with Python bundle at your own pace. Study for the Data Science with Python bundle using any internet-connected device, such as a computer, tablet, or mobile device. The Data Science with Python (30 in 1) CPD Accredited Courses! bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Data Science with Python bundle, a comprehensive, complete collection of 30 courses. Each course in the Data Science with Python bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Data Science with Python bundle offers the flexibility and convenience to learn at your own pace. Make the Data Science with Python package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Science with Python (30 in 1) CPD Accredited Courses! is perfect for: Expand your knowledge and skillset for a fulfilling career with the Data Science with Python bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Data Science with Python bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Data Science with Python bundle. Learn on your schedule, in the comfort of your home - the Data Science with Python bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Data Science with Python bundle. Certificates CPD Certificates Digital certificate - Included

Ever fancied ordering a pastel de nata in perfect Portuguese or understanding a Brazilian song without hitting “translate”? This Portuguese Language Course for Beginners introduces you to one of the world’s most melodic and widely spoken languages in a light yet structured format. Whether you're drawn to Portugal’s poetic charm or Brazil’s vibrant expressions, this course welcomes learners with no prior experience and guides them through the essentials with clarity and flair. With engaging lessons that focus on vocabulary, grammar, pronunciation, and cultural tidbits, you’ll build a solid foundation in conversational Portuguese—all from the comfort of your own space. No need for long-winded lectures or confusing explanations; this course keeps it smart, digestible, and, dare we say, enjoyable. Say hello in Portuguese, greet friends, talk about daily routines, and even survive a café chat—all without feeling like you’re cramming for an exam. Ready to give your language learning journey a proper Portuguese twist? Let’s begin. Learning Outcomes: Able to understand and use basic Portuguese grammar structures. Able to understand and use essential Portuguese vocabulary related to daily life and routine activities. Able to hold simple conversations in Portuguese. Able to read and comprehend basic Portuguese texts. Able to write simple sentences and paragraphs in Portuguese. This beginner's course on Portuguese language is designed to introduce learners to the fundamentals of the language. Through a variety of lessons, learners will acquire a basic understanding of Portuguese grammar, vocabulary, and essential phrases to be able to communicate in everyday situations. The course includes interactive exercises, audio and video lessons, and quizzes to help learners develop their listening, speaking, reading, and writing skills in Portuguese. Portuguese Language Course for Beginners Course Curriculum Section 01: Lesson 1 Lesson 1a Lesson 1b Lesson 1c Section 02: Lesson 2 Lesson 2a Lesson 2b Lesson 2c Lesson 2d Lesson 2e Section 03: Lesson 3 Lesson 3a Lesson 3b Lesson 3c Lesson 3d Lesson 3e Lesson 3f Section 04: Lesson 4 Lesson 4a Lesson 4b Lesson 4c Lesson 4d Lesson 4e How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone who wants to learn Portuguese from scratch. Individuals planning to visit or work in Portuguese-speaking countries. Students looking to study in Portugal or other Portuguese-speaking countries. Language enthusiasts interested in learning a new language. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Portuguese Language Translator: £18,000 - £35,000 per year Portuguese Language Teacher: £20,000 - £40,000 per year International Business Jobs: £20,000 - £100,000 per year (depending on the position and experience) Tourism and Hospitality Jobs: £15,000 - £40,000 per year (depending on the position and experience) Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 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. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 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. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

In this course, you will learn the process followed by big companies to automatically build and deploy their frontend ReactJS and backend Spring Boot application on Azure cloud using AzureDevOps.

3 QLS Endorsed Diploma | QLS Hard Copy Certificates Included | 200 CPD Courses | Lifetime Access | Tutor Support