686 Courses

Course Objectives The delegates are able to demonstrate knowledge of the development and spread of fire. The delegates are able to demonstrate knowledge of the causes of fires in wind turbines and the dangers related to this. The delegates are able to identify any sign of a fire in a wind turbine environment. The delegates are able to demonstrate knowledge of the contingency plans in a wind turbine environment including smoke detection and emergency escape procedures. The delegates are able to demonstrate correct actions on discovering a fire including correct operation and fire extinguishing by means of the firefighting equipment in a WTG.

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

Throughout the phlebotomy refresher course, you will look at the theory behind phlebotomy and be allowed to develop your practical skill using the most up-to-date techniques and equipment. Additional course details Course Contents A background to phlebotomy Health and safety in phlebotomy Infection control Informed consent Anatomy and physiology of the arm Site selection - good and bad veins Complications can arise when taking blood Needlestick Injuries; what they are and what to do How and where to correctly apply a tourniquet What is expected of a phlebotomist The importance of correct patient identification and informed consent Assessment: Learners must complete online theory and multiple choice assessments before sending in a case study of their work. The Learner has 12 weeks to complete and provide a case study. Once the case study has been approved, a certificate will be uploaded to the student's account. This course was designed for learners to reshes their subject knowledge and practical skill; if you have no prior qulification would need to attend our onsite training course. Course Features CPD Accredited CourseVetted accredited trainingFully Online TrainingTrain your way on any deviceFull DemonstrationComplete end to end treatment demonstrationImmediate CertificationDelivered immediately after completion Frequently Asked Questions How long do I have to complete the training course? Once you have logged in and started your training course you will have 3 months to complete your training. Can I train straight away after making payment? Yes. Once you have completed payment our system will automatically enrol you onto the training course. You will then receive an email with instructions and a direct link to login and start your course. Can I get insurance once I have completed this training? Our online training courses are CPD accredited. Acquiring insurance based on completion and accreditation from our online training courses is insurer specific and as with most cases also takes into account your personal background and status. We advise that you contact your insurance to ensure your prerequisites meets their requirements and that this training course meets their specific criteria for insurance. We have a relationship with Insync Insurance which we recommend. Is this course accredited? Yes. This training course is accredited by the CPD group.

This Catastrophic Bleeding (life changing bleeding) first aid course is an ideal refresher course for the general public, schools, construction workers, tree surgeons, young people, youth workers or anyone working in an area when severe bleeding could occur or wishing to empower themselves with the skills and knowledge to help someone who has been a victim of violent street crime. The course covers topics such as CPR and the Recovery position, the dangers of weapon carrying, first aid treatment for serious bleeding, catastrophic bleeding, use of manufactured and improvised tourniquets, packing a wound, treatment for acid attacks and use of bleed kits. The course consists of illustrated step by step directions, flow charts, diagrams, videos and test yourself sections fully compatible with all computers and mobile devices. You will be able to stop and start as often as you like and print your Certificate on completion. You will have continuous access to the course for 12 months. Course contents: Action in an emergency Unresponsive and Breathing Unconscious and not breathing Wounds and bleeding Dressings Embedded objects How much blood can you afford to lose? Shock How to treat a bleeding wound How to pack a wound How to use a tourniquet (including improvised tourniquets) Symptoms of Shock Treatment of Shock Internal Bleeding Amputated parts Eye injuries Types of Wounds Chest Wounds Flail chest Collapsed Lung or a sucking chest wound Burns First aid for a burn Assessing the severity of a burn Size, Cause, Age, Location, Depth Causes of burns Acid burns Treating a burn Dressing a burn Inhalation of fumes Useful advice Final Lesson and Quiz giving certificate valid for 3 years and 6 hours verifiable CPD

Outline: This course is intended to provide an introduction to the different kinds of cladding and glazing systems used on modern buildings, including curtain walling and built-up walls (rainscreen and render systems). It will introduce key performance criteria, specification and verification of façade systems, in addition to discussing the supply chain and construction. It will identify key British, European and CWCT standards and guides relevant to those systems. Target Audience: This course is aimed at those who are new to the design and performance of the building envelope, those who require a refresher course, or those wishing to broaden their knowledge on the type of modern cladding and glazing systems that are commonly used. Learning objectives: Understand the fundamental principles of weathertightness, Recognise key modern cladding and glazing systems, Understand key performance criteria and how walls are specified, Appreciate how performance is verified, Appreciate industry structure and the cladding supply chain. Assessment: Assessment will be via a series of multiple-choice questions following the course, The assessment is timed and must be passed in order to receive a CPD certificate for the course, If the assessment is failed, one re-take will be permitted. Prerequisites: None. Course availability:  02-29 September 2024 Lecture time: 1 day Price:  Member price Non-Member price £180 + VAT £360 + VAT

Please see access to dates for all online Mental Health First Aid, Mental Health Aware and Mental Health Refresher courses https://mywhitedog.as.me/

The IOSH Managing Safely® Course is a three or four day course designed for people in supervisory or management positions in all types of organisations, who need a broad understanding of health and safety at work. The aim is to give these managers the knowledge to help implement good practice for health and safety in the workplace.

The IOSH Managing Safely® E-Learning course contains learning materials for the whole IOSH Managing Safely® course

Our 1 day foraging courses are for anyone who’d like to gain an insight into the edible delights of the British hedgerow and woodlands. So if you’re curious about the plants, berries and fruits that grow around you and wonder which you can eat and which you need to avoid, come and join us! On our foraging courses the focus is on edible plants, nuts, berries and fruits commonly found in the hedgerow and woodland. Note that what we find and forage will depend on the time of year you come along. From the meeting point we’ll take an amble along the tranquil lanes of the stunning North Downs Way and look at common plants, hedgerow fruits, berries and nuts that can be eaten; we’ll collect some as we go. We’ll also point out any plants and berries that are poisonous so you know what to avoid. From the hedgerow we’ll move into ancient woodland and look at different plants, again collecting as we go. When we arrive at our ancient woodland camp, we’ll have a refresher on the plants we’ve collected before settling in for the afternoon and cooking them. Everyone gets their own dish to cook and contribute to the banquet. About us and the venue Jack Raven Bushcraft was founded in 2011 and we've been delivering bushcraft, craft and foraging courses since then from our 30 acre private ancient woodland on the Kent Downs in an area of outstanding natural beauty. Courses in the summer are held outdoors in our woodland camp complete with covered work areas, an outdoor kitchen and a composting loo. Courses in the winter are held in our workshop in a converted barn. Whilst we don't have many reviews on Craft Courses, we have hundreds on our website, Facebook page and Google Business page, take a look for yourself! What's included in the price? Tea and coffee You'll need to bring a packed lunch Cancellation policy Strict - Cancellation and a full refund can be obtained up to 8 weeks before the course starts

Love to take photos? Want to take photos of the world around you? Enroll the Diploma in Landscape Photography course and learn advanced tips and techniques if Landscape Photography and take your landscape photography to the next level so that you can create the stunning photos. Landscape photography portrays spaces within the world covering the photos of the wilderness with no human influence or simple nature photo. Imagine a situation and environment, where you are in the middle of nowhere, surrounded by nature without the presence of humankind - how does it feel? This is landscape photography. It refers to capturing the images that epitomise the spirit of the outdoors. You can take Landscape photography at sunrise or sunset. The course teaches you the techniques of capturing perfect Landscape photography. You will learn how to set up the camera, how to use a polarised filter, wild vs telephoto photograph, editing basics, removing unwanted objects, and more. After finishing the course, you will be able to take Landscape photographs like a professional Landscape photographer. What Will I Learn? You will learn how to take beautiful landscape photographs - like the pros! You will be happier with the photos you shoot than ever before! You will know what equipment you need to shoot great landscape photos You will understand how to set your camera's ISO, shutter speed, and aperture (f-stop) while shooting landscape photographs You will know how to use a polarizing filter to make your landscape photography even better You will know how to choose the right lens for your landscape photography You will know how to edit your landscape photos to make them look better Requirements While this course was created for beginner photographers, it would be beneficial for you to understand basic photography concepts such as aperture, shutter speed, and ISO. We have included a refresher lesson that will get you up to speed if you need it. This is a great follow up to our Photography Masterclass, which will get you up to speed to dive right into this course. You can use any camera to take great landscape photos. We'll be using Canon, Nikon, Leica, and Fujifilm DSLR and Mirrorless cameras + smartphones like the iPhone Module: 01 Introduction FREE 00:01:00 Gear for Landscape Photography FREE 00:04:00 Module: 02 Planning Your Trip with Will 00:02:00 Our Gear - What's in Our Bag 00:05:00 Shooting at Sunrise 00:10:00 Landscape Basics & Composition 00:06:00 Camera Setting Refresher with Phil 00:08:00 Phil & Sam Go Over the Basics 00:09:00 Module: 03 How to shoot Panoramas 00:05:00 Wide vs. Telephoto Photographs 00:04:00 Using a Polarizer Filter 00:03:00 Sunset Photography 00:05:00 Module: 04 Intro to Editing 00:02:00 Adobe Lightroom Crash Course 00:14:00 Our Basic Landscape Editing Process 00:11:00 Quickly Straighten Horizons 00:01:00 Remove Unwanted Objects in Lightroom 00:02:00 Module: 05 Using Graduated Filters 00:06:00 Phil Edits a Landscape Photo 00:17:00 Sam's Editing Workflow 00:11:00 WiIII's Editing Process 00:19:00 All Three Edit the Same Photo 00:23:00 Sam Edits a Sunrise Photo 00:09:00 How to Create an HDR Photo in Lightroom 00:02:00 Stitch Together a Panorama in Lightroom 00:06:00 Stitch Together a Panorama in Photoshop 00:03:00 Exporting a Photo for Web or Print 00:10:00 Conclusion 00:01:00 Resource Files Resource Files - Diploma in Landscape Photography 00:00:00