870 Industry courses in Addlestone delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Anyone working within leadership, or aspiring to transition into leadership, who would like to professionalize their skills and competencies will benefit from this course. Overview Learn to thrive in a volatile and changing world Build employee engagement in a precarious work environment Leverage fundamental values to build a better workplace Develop a culture of change Plan a path to the future Change is both inevitable and necessary, yet potentially disruptive. Leading change efforts requires building credibility, communicating effectively, developing trust, making decisions, and demonstrating confidence. This course will help you to cultivate the leadership skills that you need to influence others and guide them through times of change. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. 1. Building a Sustainable Organization Seeing the Need for a New Type of Leadership Choosing to Be an Authentic Leader Rebuilding Confidence Decentralizing Power 2. Values and Engagement in a New Reality Engaging in the 21st Century Measuring Employee Engagement Developing Highly Engaged Employees Tapping into Discretionary Energy Embracing Differences Building a Sustainable Organization Integrating Engagement into Your Culture Building a Passion for Excellence Inspiring Trust Reaping the Benefits of Trust 3. Making Change the New Normal Facing Complexities Navigating Fluid Environments Harnessing the Power of Change Applying Intuition Creating Profound and Sustainable Change Understanding the Phases of Change Engaging Stakeholders Leading Through the Transition 4. Planning for the Road Ahead Managing Issues of the 21st Century Working Within the New Cultural Reality Avoiding Traps and Pitfalls Challenging How Teams Are Managed Building a Vision Managing with Purpose

This course is designed for all those who are planning to visit Greece and would like to learn and practice common and useful Greek phrases used when travelling. This mini-course introduces different aspects of Greek for tourism, working on main language points and useful Greek vocabulary through a variety of topics related to the tourist industry. After the completion of the course you will be able to communicate in basic everyday circumstances. The course is designed to be completed in 10 days – 10 lessons of 60 minutes each. The lessons are supported by slides (including readers and exercises), audios, and video files. All you need is a computer and an Internet connection, and you are ready to go!

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.

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 This skills-focused combines 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. 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. 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 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 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.

Party Planner and Event Management Skills Course Overview: This comprehensive course in "Party Planner and Event Management Skills" is designed for individuals seeking to build a career in the event planning industry. It covers all key aspects of event organisation, including the fundamentals of party planning, budgeting, and selecting appropriate themes and venues. By the end of the course, learners will have developed a solid foundation in event management, capable of managing everything from guest demographics to vendor relationships. Practical applications include starting and running a party planning business, while the course equips learners with the necessary tools to stand out in the competitive event planning market. Course Description: In this course, learners will gain an in-depth understanding of the key responsibilities of a party planner and event manager. Topics include types of parties, essential planning skills, business management, and the specifics of guest management, vendor coordination, and food and beverage arrangements. The course also explores how to develop and maintain a client base, build professional networks, and deliver memorable events. Through engaging content, learners will build confidence in their ability to handle various aspects of event planning, ensuring they are well-prepared for the challenges and rewards of working in this dynamic field. Party Planner and Event Management Skills Curriculum: Module 01: Introduction to Party Planner Module 02: Types of Parties - Overview Module 03: Skills You Need to Be a Party Planner Module 04: Starting Your Party Planning Business Module 05: Party Planning Business Functions Module 06: Initial Planning & Budgeting Module 07: Guest Demographics Module 08: Choosing a Theme Module 09: Venue Requirements Module 10: Food and Beverage Module 11: Vendors Every Party Planner Should Know Module 12: Generating a Client Base Module 13: Networking Module 14: Making the Party Memorable (See full curriculum) Who is this course for? Individuals seeking to enter the event planning industry. Professionals aiming to develop their party planning skills. Beginners with an interest in party planning and event management. Aspiring entrepreneurs in the event services sector. Career Path Event Planner Party Planner Wedding Planner Corporate Event Organiser Venue Coordinator Event Marketing Specialist Event Management Entrepreneur

Laser Hair Removal Training Course Overview This Laser Hair Removal Training course offers comprehensive knowledge and skills essential for mastering laser hair removal techniques. It provides a deep dive into the technology, safety protocols, and the various applications of laser treatments. The course covers key areas such as skin types, hair growth cycles, laser settings, and treatment aftercare. Learners will gain the confidence and expertise to apply laser hair removal procedures effectively, ensuring client safety and satisfaction. By the end of the course, participants will be prepared to offer high-quality treatments in a variety of professional settings. Course Description The Laser Hair Removal Training course explores the science behind laser treatments, including the mechanics of laser devices and their role in effective hair removal. Participants will study the different skin and hair types, learning how to adjust the laser settings accordingly. In-depth coverage is provided on client consultation, treatment planning, and aftercare to ensure optimal results and client safety. The course also addresses legal and ethical considerations within the industry. By the end of the course, learners will be equipped with the necessary skills to perform laser hair removal with confidence, understanding the underlying theory and practical considerations that ensure safe and successful treatment outcomes. Laser Hair Removal Training Curriculum Module 01: Introduction to Laser Hair Removal Module 02: The Science of Laser Hair Removal Module 03: Skin Types and Laser Treatment Considerations Module 04: Hair Growth Cycles and Treatment Planning Module 05: Laser Device Technology and Settings Module 06: Client Consultation and Safety Protocols Module 07: Post-Treatment Care and Client Aftercare Module 08: Legal and Ethical Aspects in Laser Hair Removal (See full curriculum) Who is this course for? Individuals seeking to specialise in cosmetic treatments. Professionals aiming to enhance their skill set in beauty and aesthetics. Beginners with an interest in starting a career in laser treatments. Those looking to expand their practice in the wellness and beauty industry. Career Path Laser Hair Removal Technician Beauty Therapist specialising in advanced treatments Aesthetic Practitioner in salons or clinics Cosmetic Consultant Medical Spa Professional

Dermatology & Skincare Level 5 Course Overview The Dermatology & Skincare Level 5 course offers an in-depth exploration of skin health, from basic dermatological principles to the advanced understanding of skin disorders and treatments. Learners will gain valuable insights into skin anatomy, nutrition, and the science behind common skin conditions such as acne and eczema. By completing this course, learners will acquire essential skills in diagnosing skin diseases, understanding the effects of ageing on the skin, and tailoring care to different skin types and ethnicities. With this knowledge, learners will be prepared to make informed decisions about skin care and address common skin concerns effectively. Course Description This comprehensive course delves into the fundamentals of dermatology, focusing on the anatomical structure of the skin, the vital nutrients it requires, and how different conditions impact its health. Topics include the diagnosis and treatment of various skin diseases, such as eczema and acne, and the importance of skincare across different skin types and ethnic backgrounds. Learners will explore methods for reducing the effects of ageing and learn about seasonal skincare and sunburn prevention. The course aims to equip learners with the knowledge to promote healthy skin and manage a range of dermatological issues, providing a well-rounded foundation for both personal care and professional development in the skincare industry. Dermatology & Skincare Level 5 Curriculum Module 01: Basics of Dermatology Module 02: Skin Anatomy Module 03: Skin Nutrients Module 04: Diagnosis of Skin Disease Module 05: Skin Infections Module 06: Atopic Eczema Module 07: Care of Different Skin Types Module 08: Different Ethnicities Skin Care Module 09: Reducing Ageing Effects Module 10: Acne and Its Remedies Module 11: Seasonal Skin Care Module 12: Effect of the Sunburn and Its Remedies (See full curriculum) Who is this course for? Individuals seeking to enhance their skincare knowledge and expertise. Professionals aiming to advance their career in the dermatology or skincare industry. Beginners with an interest in dermatology, skincare, or beauty therapy. Anyone wishing to improve their understanding of skin health and skincare routines. Career Path Dermatology Specialist Skincare Consultant Beauty Therapist Cosmetic Sales and Marketing Clinical Aesthetician Health and Wellness Advisor

Duration 3 Days 18 CPD hours This course is intended for CliniciansUniversitiesHospitalsHealthcare ExecutivesEntrepreneursInvestors Overview Intro to blockchainMajor healthcare use cases of blockchainUnderstand different use cases of PEB that have already been implemented and encourage thought of new potential use cases. This course covers the intersection of healthcare and Blockchain. Training will include an overview of Blockchain, and uses for Blockchain in the healthcare industry, from medical records, to medical devices, insurance and more. Day 1 History of blockchain Blockchain 101 Decentralization/centralization Distributed ledger-private vs public Mining and consensus mechanisms Intro to healthcare on blockchain including Medical records FHIR, HL7 Day 2 Patient identity Value-based care and concepts (discuss outcome-based smart contracts) Medical devices, Wearables, IoT Patient adherence monitoring (with tokenized incentives-could also discuss with pt. empowerment), incentives, etc. Interoperability and other obstacles of implementation (industry inertia, large data sets, inherent resistance to change) Day 3 Supply chain (substandard and falsified medicines, divergence, compliance with DSCSA) Logistics Insurance (eligibility, reduced overhead, claims processing) Data sets AI technology (theoretical use cases) PT empowerment 1 & 2 (digital health wallet with access driven by smart contracts, monetizing data for sharing) Additional course details: Nexus Humans Blockchain for Healthcare Professionals 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 Blockchain for Healthcare Professionals 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.

Construction Safety Level 3 Course Overview: The Construction Safety Level 3 course is designed to equip learners with the knowledge and skills required to manage health and safety on construction sites effectively. It provides an in-depth understanding of safety protocols, risk assessment, and relevant legislation. This course covers essential topics such as working at height, managing hazardous materials, and understanding the legal responsibilities of employers and employees. Upon completion, learners will have a comprehensive understanding of the measures needed to ensure a safe working environment, reducing the risk of accidents and injuries on construction sites. This qualification is ideal for those looking to enhance their career in construction safety management or health and safety roles. Course Description: This course delves into a wide range of topics crucial for maintaining safety in the construction industry. Learners will gain expertise in risk assessment, identifying common risks on construction sites, and understanding the legal framework surrounding health and safety at work. The course will cover site-specific issues such as excavation, working at height, and the proper use of work equipment. Learners will also study how to handle chemical and biological health hazards, electrical hazards, and fire risks. By completing this course, learners will be able to implement effective safety measures, manage health and safety risks, and ensure compliance with health and safety laws, creating a safer work environment for all site workers. Construction Safety Level 3 Curriculum Module 01: Managing Health and Safety Module 02: Risk Assessment and Common Risks Module 03: Health and Safety at Work and the Laws Module 04: Reporting Accidents at Work Module 05: General Site Issues Module 06: Working at Height Module 07: Excavation Work and Confined Spaces Module 08: Work Equipment Module 09: Manual and Mechanical Handling Module 10: Chemical and Biological Health Hazards and Control Module 11: Electrical Hazards and Control Module 12: Fire Hazards and Control (See full curriculum) Who is this course for? Individuals seeking to enhance their understanding of construction site safety. Professionals aiming to progress into health and safety management roles. Beginners with an interest in health and safety within the construction industry. Managers or supervisors responsible for site safety. Career Path: Construction Safety Officer Health and Safety Manager Risk Assessment Specialist Construction Site Supervisor Environmental Health and Safety Officer

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