47451 Courses

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Supplementary Resources Supplementary Resources - Certification in Solution-Focused Therapy 00:00:00 Basic of Solution-Focused Brief Therapy (SFBT) Programme Overview 00:02:00 Introduction to Solution-Focused Brief Therapy (SFBT) 00:16:00 Mock Assessment Mock Assessment 00:10:00 Solution-Focused Brief Therapy (SFBT) Techniques and Application Solution-Focused Interviewing 00:08:00 Remembers before Learning the Techniques 00:02:00 Normalizing 00:02:00 Reframing 00:02:00 Exceptions 00:04:00 Scaling 00:04:00 The Miracle Question 00:04:00 Goal Setting 00:03:00 Getting Started 00:01:00 Measuring Progress 00:02:00 Coping Questions 00:03:00 Ending Sessions 00:03:00 Conducting Follow-Up Sessions 00:02:00 Final Assessment Assessment - Solution-Focused Therapy Practices 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This course will provide you with the necessary skills, knowledge and information about anger management whether you wish to manage your own anger issues or someone else's? Are you someone who helps people with their anger issues and concerns? If you want to improve your coaching skills especially with anger management, then this course is meant for you. Description: Anger Management is essential as anger issues can affect anyone's life and career. If you are someone who helps people with their anger issues, then you will need to be learning more about anger management and this advanced course has been designed for you. You will understand the dynamics regarding anger cycle. Learn about the common anger myths and understand the helpful and unhelpful ways of dealing with anger. Through this course, you will know the techniques in controlling anger that will help your clients with their anger issues. You will also learn the best perspective of anger management and practice it in this course. This course will provide you with the necessary skills, knowledge and information about anger management whether you wish to manage your own anger issues or someone else's?  Who is the course for? Professionals like who help people with their anger issues. People who have an open mind to know about anger management. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit 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. You can however 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 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/materials from the industry leading experts; 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 to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Advanced Diploma in Anger Management is a useful qualification to possess, and would be beneficial for the following careers: Consultant Counsellor Life Coach Mental Health Instructor Mentor Therapist. Introduction to Anger Management What is Anger? 00:15:00 Costs and Pay-Offs 00:15:00 The Anger Process 00:30:00 How Does Anger Affect Our Thinking? 00:15:00 Understanding Behavior Types 00:15:00 Managing Anger 00:15:00 Communication Tips and Tricks 00:30:00 Anger Management Module One - Getting Started 01:00:00 Module Two - Understanding Anger 00:30:00 Module Three - Do's and Don'ts 01:00:00 Module Four - Gaining Control 01:00:00 Module Five - Separate the People from the Problem 00:30:00 Module Six - Working on the Problem 01:00:00 Module Seven - Solving the Problem 01:00:00 Module Eight - A Personal Plan 01:00:00 Module Nine - The Triple A Approach 02:00:00 Module Ten - Dealing with Angry People 01:00:00 Module Eleven - Pulling It All Together 01:00:00 Module Twelve - Wrapping Up 01:00:00 Activities Advanced Diploma in Anger Management- Activities 00:00:00 Mock Exam Mock Exam-Advanced Diploma in Anger Management 00:20:00 Final Exam Final Exam-Advanced Diploma in Anger Management 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This course covers all relevant legislation affecting safe working in the building, construction...

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 intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS 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 The Machine Learning Pipeline on AWS 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 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

Overview of Landscape Architecture: Design and Drawing Within the flourishing landscape architecture industry in the UK, opportunities abound for those skilled in transforming outdoor spaces into functional, beautiful, and eco-friendly environments. This comprehensive course offers invaluable insights and practical knowledge to create harmonious, sustainable landscapes. Gain expertise in green-escaping principles, planting and maintaining trees and shrubs, and designing captivating pathways, walls, fences, and water features. Explore the intricate relationship between landscapes and local ecosystems through landscape ecology studies. With a strong emphasis on hands-on learning and real-world applications, you'll develop the confidence to execute projects that enhance outdoor beauty while contributing to the well-being of natural surroundings. Whether you're an aspiring professional, a homeowner seeking to improve your outdoor space, or an enthusiast passionate about sustainable landscaping, the Landscape Architecture Training course provides a solid foundation to succeed in the dynamic landscape architecture field. Enrol today and unlock your potential in this growing industry. This Landscape Architecture: Design and Drawing Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Landscape Architecture: Design and Drawing. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Landscape Architecture: Design and Drawing course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Landscape Architecture: Design and Drawing is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  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 You don't need any educational qualification or experience to enrol in the Landscape Architecture: Design and Drawing 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 course. Career Path The certification and skills you get from this Landscape Architecture: Design and Drawing Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 1: Introduction to Landscape Architecture Introduction to Landscape Architecture 00:17:00 Module 2: Hard Landscape Elements Hard Landscape Elements 00:23:00 Module 3: Soft Landscape Elements Soft Landscape Elements 00:21:00 Module 4: Planning and Legislation Planning and Legislation 00:21:00 Module 5: Establishing the Parameters Establishing the Parameters 00:22:00 Module 6: Representing the Landscape Design Representing the Landscape Design 00:23:00 Module 7: Landscape Management Landscape Management 00:23:00 Module 8: Water Feature Design Water Feature Design 00:22:00 Module 9: Entertainment and Recreation Projects Entertainment and Recreation Projects 00:17:00 Module 10: Mapping, Aerial Photography, Satellite Imagery Mapping, Aerial Photography, Satellite Imagery 00:18:00

21 day access to the recording of How to Be a Happier Therapist.

Overview When it comes to food services, delivering delicious food is not enough. Along with tasty food, you are also responsible for providing safe and hygienic food to your clients. Learn how to secure food safety in the catering business with our exclusive Level 2 Certificate in Food Hygiene and Safety for Catering course.  This course is divided into informative and engaging video modules. These modules will educate you on the law and regulations regarding food safety. You will also learn about different types of food hazards, such as chemical hazards, bacterial hazards, allergen hazards etc. The course will also provide detailed lessons on food poisoning, spoilage, and more. Further, in the study, you will learn the HACCP principles. This course is the ideal place to develop your knowledge and skills. So, enrol today and get a step closer to providing quality food to your customers.  Learning Outcomes Enhance your understanding of food safety law Familiarise yourself with different kinds of food hazards Develop the skills to control food poisoning Understand the principles of storing food and avoiding spoilage Learn about the rules of HACCP Develop the skills to maintain hygiene in the kitchen Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Engaging tutorial videos and 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 Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email Who Should Take this Level 2 Certificate in Food Hygiene and Safety for Catering Course? Whether you're an existing practitioner or an aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge. Are There Any Entry Requirements? This Level 2 Certificate in Food Hygiene and Safety for Catering course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Level 2 Certificate in Food Hygiene and Safety for Catering Certification After completing and passing the Level 2 Certificate in Food Hygiene and Safety for Catering successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at £39 or in PDF format at £24. Career Path​ This exclusive Level 2 Certificate in Food Hygiene and Safety for Catering course will equip you with effective skills and abilities and help you explore career paths such as Caterer Chef Restaurant Staff Restaurant Manager Level 2 Food Hygiene and Safety for Catering Introduction to Food Safety and the Law 00:29:00 Bacteria and Microbiological Hazards 00:27:00 Physical, Chemical and Allergenic Hazards 00:25:00 Food Poisoning and Control Measures 00:23:00 Food Spoilage and Food Storage 00:25:00 Personal Hygiene 00:24:00 HACCP and Food Premises 00:27:00 Cleaning 00:21:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 48.125 Days 288.75 CPD hours Cisco Learning Library: Collaboration provides on-demand training to help your IT staff design, implement, manage, and troubleshoot your organization?s collaboration and video infrastructure based on Cisco collaboration and unified communications solutions.This comprehensive technical training library includes full-length interactive certification courses, product and technology courses with labs, and thousands of reference materials. Collaboration Library Certification Courses CCNP Collaboration Implementing Cisco Collaboration Core Technologies (CLCOR) v1.0 Implementing Cisco Collaboration Applications (CLICA) v1.0 Implementing Cisco Advanced Call Control and Mobility Services (CLACCM) v1.0 Implementing Cisco Collaboration Cloud and Edge Solutions (CLCEI) v1.0 Implementing Automation for Cisco Collaboration Solutions (CLAUI) v1.0 CCIE Collaboration Implementing Cisco Collaboration Core Technologies (CLCOR) v1.0 Product and technology training Cisco Video Infrastructure Design (VID) v1.0 Developing Applications for Cisco Webex and Webex Devices (DEVWBX) v1.0 Implementing Automation for Cisco Collaboration Solutions (CLAUI) v1.0 Implementing Cisco Advanced Call Control and Mobility Services (CLACCM) v1.0 Implementing Cisco Collaboration Applications (CLICA) v1.0 Implementing Cisco Collaboration Cloud and Edge Solutions (CLCEI) v1.0 Implementing Cisco Collaboration Core Technologies (CLCOR) v1.0 Understanding Cisco Collaboration Foundations (CLFNDU) v1.0