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Our 2023 online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT. £69.95 including VAT and DVSA upload fees of £8.75 per day.

Our 2023 online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT. £69.95 including VAT and DVSA upload fees of £8.75 per day.

Our 2023 online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT. £69.95 including VAT and DVSA upload fees of £8.75 per day.

Our 2023 online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT. £69.95 including VAT and DVSA upload fees of £8.75 per day.

Legionella awareness is suitable for any persons wanting to gain an understanding of Legionella and how to prevent or control the risk of exposure to Legionella bacteria. The main subject areas of the course are: What Legionella is Obligations under current Health & Safety legislation and ACoP L8 System hygiene Assessing and managing risk Outbreaks Hot and cold water systems Risks in other types of water systems Multiple choice test (if required).

Take a look at this new Mental Health First Aid course at Knight Training. Watching over your mental health is very important, having this knowledge can be of use at any environment, and is suitable for anyone. Come get train with us at https://knight.training/products/mental-health-online-mh-first-aid?variant=43369922199787

Unlocking Success in GCSE Geography! At GLA Tutors, we are dedicated to helping students excel in their GCSE Geography examinations. Our experienced tutors are passionate about the subject and committed to providing comprehensive support tailored to the AQA examination board's specification. Let's dive into the breakdown of the AQA GCSE Geography specification: Paper 1: Living with the Physical Environment This paper focuses on understanding natural landscapes, such as rivers, coasts, and ecosystems. Our tutors will guide students through topics like the water cycle, coastal processes, and the impact of climate change. We offer in-depth explanations, interactive activities, and exam-style practice to build a solid foundation. Paper 2: Challenges in the Human Environment This paper explores the relationship between humans and their environment, including urban areas, development, and global issues. Our tutors will delve into concepts like population dynamics, urbanisation, sustainable development, and global inequalities. Through engaging discussions and real-world examples, we help students grasp the complexities of human geography. Paper 3: Geographical Applications In this paper, students apply their geographical skills to investigate real-world issues and carry out fieldwork. Our tutors will guide students through the process of designing and conducting fieldwork, collecting and analysing data, and presenting their findings. We provide practical guidance, research resources, and feedback to develop strong investigative skills. At GLA Tutors we go beyond the specification to nurture a deep understanding of geography. Our tutors create a supportive and engaging learning environment that encourages critical thinking, analysis, and effective exam techniques. We offer personalised one-on-one sessions, group discussions, and access to a range of learning materials to cater to each student's needs. Whether it's understanding the intricacies of physical processes or analysing the complexities of human interactions, our tutors are here to guide students towards success in their GCSE Geography journey. Join us and unlock your full potential in GCSE Geography! Feel free to explore our website for more information or reach out to us with any questions you may have. Let's embark on this exciting learning adventure together!  https://www.globallearners.academy/services/gcse We can provide assistance for everything you need to prepare students for exams, including: past papers, mark schemes and examiners’ reports specimen papers and mark schemes for new courses exemplar student answers with examiner commentaries high quality revision guides

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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.