870 Industry courses in Cardiff delivered Live Online

Event Planning Course Overview This comprehensive Event Planning course offers learners an in-depth understanding of the key principles and techniques involved in planning successful events. Covering all aspects from event management and classification to marketing, catering, and security, the course provides the necessary skills for effective event coordination. Whether you're interested in organising corporate events, weddings, or large public gatherings, this course equips you with the knowledge and expertise to plan, execute, and manage events with confidence. Learners will also explore how to build an event planning business, ensuring long-term success in the industry. Course Description This course delves into the various stages of event planning, from conceptualising an event to its final execution. Key topics include understanding the role of an event planner, classifying different types of events, developing client relationships, marketing events, and overseeing logistics such as catering, decorations, and waste disposal. You will gain insights into event security, legal requirements, and effective communication with clients and vendors. Through this learning journey, you will develop the critical skills needed to plan a range of events and potentially start your own event planning business. Event Planning Curriculum Module 1: Introduction to Event Management Module 2: Role of an Event Planner Module 3: Event Classification Module 4: Events and Clients Module 5: Steps to Plan an Event Module 6: Invitation to the Event Module 7: Event Marketing Module 8: Catering at Events Module 9: Event Decorations Module 10: Cleaning and Waste Disposal Module 11: Event Security Module 12: Developing an Event Planning Business (See full curriculum) Who is this course for? Individuals seeking to become professional event planners Professionals aiming to expand their event management skills Beginners with an interest in event organisation Entrepreneurs looking to enter the event planning industry Career Path Event Planner Corporate Event Coordinator Wedding Planner Conference Organiser Event Marketing Specialist Event Operations Manager

How to Analyse & Maximize Restaurant Profits Course Overview This course on "How to Analyse & Maximize Restaurant Profits" offers comprehensive insights into understanding the financial dynamics of a restaurant business. It covers key concepts such as revenue analysis, menu optimisation, and cost control strategies to help learners identify areas of improvement for enhanced profitability. By the end of the course, learners will have a thorough understanding of the various factors influencing restaurant performance, from pricing strategies to inventory management. This course provides valuable skills that enable learners to make informed decisions that directly impact the bottom line of any restaurant business. Course Description In this course, learners will explore essential topics such as restaurant revenue analysis, menu engineering, and cost management. The course delves into the principles of profit maximisation, offering strategies to analyse sales data, optimise menu offerings, and manage food and labour costs efficiently. Learners will acquire skills in identifying profitable menu items, reducing waste, and increasing operational efficiency. This in-depth course is designed to equip participants with the knowledge and strategies needed to improve the profitability of a restaurant, ensuring they can make data-driven decisions to drive growth and sustainability. How to Analyse & Maximize Restaurant Profits Curriculum Module 01: Introduction Module 02: Restaurant Revenue Analysis Module 03: Menu Engineering Report Module 04: Cost Analysis & Management (See full curriculum) Who is this course for? Individuals seeking to understand restaurant profitability. Professionals aiming to enhance their skills in restaurant management. Beginners with an interest in the food and hospitality industry. Entrepreneurs looking to improve restaurant financial performance. Career Path Restaurant Manager F&B (Food and Beverage) Operations Manager Menu Analyst Financial Analyst in the hospitality industry Restaurant Owner/Entrepreneur

Complete Fitness Trainer Certification: Beginner To Advanced Course Overview: The "Complete Fitness Trainer Certification: Beginner To Advanced" is a comprehensive course designed to equip learners with the knowledge and skills needed to excel in the fitness industry. Covering a broad range of topics from basic anatomy to advanced training techniques, this course prepares you for a successful career in fitness training. By completing the course, you will gain expertise in assessing clients, designing personalised fitness plans, and delivering effective exercise programmes. Whether you're a beginner or looking to enhance your skills, this certification is a valuable asset for anyone pursuing a career in fitness. Course Description: This course covers a wide array of topics to ensure learners gain a complete understanding of fitness training. Modules include in-depth lessons on human anatomy, client assessment, resistance training, cardio and endurance techniques, flexibility, and more. Learners will also access detailed exercise instruction videos, which reinforce the concepts taught throughout the course. By the end of the programme, learners will be confident in designing and delivering fitness plans tailored to individual needs, enabling them to support clients in achieving their fitness goals. This certification also highlights the importance of understanding the body’s mechanics to ensure safe and effective exercise. Complete Fitness Trainer Certification: Beginner To Advanced Curriculum: Module 01: Introduction Module 02: Anatomy Module 03: Client Assessment Module 04: Resistance Training Module 05: Exercise Instruction Videos Module 06: Cardio & Endurance Training Module 07: Flexibility (See full curriculum) Who is this course for? Individuals seeking to become certified fitness trainers. Professionals aiming to enhance their skills in fitness and wellness. Beginners with an interest in the fitness industry. Anyone passionate about pursuing a career in health and fitness. Career Path Personal Trainer Fitness Coach Health and Wellness Consultant Group Fitness Instructor Sports Trainer

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.

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!

Airport Customer Service and Operations Course Overview This course provides a comprehensive introduction to airport customer service and operational functions essential for smooth airport management. Learners will explore key areas such as passenger service, airport facilities, security protocols, emergency procedures, and weather-related operations. Designed to enhance understanding of both customer-facing roles and behind-the-scenes airport activities, the course equips participants with the knowledge to contribute effectively in a dynamic aviation environment. Upon completion, learners will be confident in identifying airport components, handling security operations, managing emergency situations, and appreciating sustainability initiatives, preparing them for diverse roles within the airport industry. Course Description Delving deeper into the multifaceted operations of airports, this course covers vital topics from the fundamentals of customer service to the complexities of airport infrastructure and security management. Learners will gain insight into the coordination required for effective security operations and the protocols followed during aircraft and airport emergencies. The course also addresses the impact of weather control and the growing importance of sustainable practices in airport operations. Through a structured and detailed learning experience, participants will develop the skills to support operational efficiency and deliver exceptional service within the fast-paced aviation sector, enhancing both personal competence and career potential. Airport Customer Service and Operations Curriculum Module 01: Airport Customer Service Module 02: Airport Components Module 03: Security Operations Module 04: Airport and Aircraft Emergency Situations Module 05: Weather Control Operations Module 06: Sustainable Airport Operation (See full curriculum) Who Is This Course For? Individuals seeking to build a career in airport customer service and operations. Professionals aiming to enhance their knowledge of airport management and security. Beginners with an interest in aviation and airport industry roles. Those planning to work in airport administration, passenger assistance, or related sectors. Career Path Airport Customer Service Agent Airport Operations Coordinator Security Officer in Aviation Emergency Response Officer Weather Operations Specialist Sustainability Coordinator in Airport Management

Know Your Customer (KYC) Course Overview: The "Know Your Customer (KYC)" course is designed to provide learners with a comprehensive understanding of KYC processes, their relevance in financial services, and the associated regulatory requirements. Covering vital topics such as customer identification, anti-money laundering (AML) strategies, and the protection of data privacy, this course equips learners with the knowledge needed to navigate the complex landscape of KYC compliance. By the end of the course, learners will be able to apply these concepts in their daily professional roles, ensuring adherence to industry regulations and maintaining robust compliance standards. Course Description: This course delves deeper into the principles of KYC, focusing on customer due diligence, risk management, and anti-money laundering (AML) practices that safeguard organisations against financial crimes. Learners will explore the relevant regulations governing KYC in the UK and the methods used to conduct thorough customer verification. Additionally, the course provides insights into data privacy requirements, helping businesses mitigate risks and comply with industry standards. With interactive learning modules and assessments, this course ensures that participants gain practical knowledge, enhance their professional skills, and build a strong foundation in KYC and AML compliance. Know Your Customer (KYC) Curriculum: Module 01: Introduction to KYC Module 02: Customer Due Diligence Module 03: AML (Anti-Money Laundering) Module 04: KYC, AML, and Data Privacy Regulations for Business Operations in the United Kingdom Module 05: Regulations to be Complied by Industries Module 06: Methods for Carrying Out KYC and AML and the Future of KYC Compliance (See full curriculum) Who is this course for? Individuals seeking to understand KYC compliance Professionals aiming to enhance their knowledge of financial regulations Beginners with an interest in finance and regulatory compliance Anyone looking to advance their career in risk management or compliance Career Path Compliance Officer Anti-Money Laundering (AML) Specialist Risk Management Consultant KYC Analyst Financial Compliance Advisor

Electrician Complete Training Course Overview This comprehensive Electrician Complete Training course provides learners with essential knowledge and skills related to electricity and electrical systems. It covers fundamental principles such as basic electricity concepts, circuit theory, and electrical components, ensuring a solid foundation for aspiring electricians. Through detailed explanations and examples, learners will understand how electric circuits function, the behaviour of conductors and insulators, and key laws such as Ohm’s Law. The course also explores advanced topics including capacitance, magnetism, and transient responses. By completing this course, learners will be well-equipped to progress in electrical work or further specialised training, gaining confidence in interpreting and applying electrical principles in various settings. Course Description This Electrician Complete Training course offers an in-depth exploration of electricity, focusing on theoretical knowledge critical to the electrical industry. Learners will study the nature of electricity, different types of circuits, and how to calculate electric power and current flow using established laws. The course examines both series and parallel circuits and introduces important circuit theorems, enhancing problem-solving skills. Additional modules cover electric fields, capacitance, magnetism, and inductance, as well as the transient response of capacitors and inductors, providing a broad understanding of electrical phenomena. Designed for clarity and technical accuracy, this course prepares learners to engage confidently with electrical concepts and apply them effectively within their career or educational pursuits. Electrician Complete Training Curriculum: Module 01: Intro Basic Electricity Module 02: The Nature of Electricity Module 03: Conductors & Insulators Module 04: Current and Electric Circuits Module 05: Ohm’s Law Module 06: Electric Power Module 07: Series & Parallel Circuits Module 08: Circuit Theorems Module 09: Electric Fields and Capacitance Module 10: Magnetism and Inductance Module 11: Transient Response Capacitors & Inductors (See full curriculum) Who is this course for? Individuals seeking to establish foundational electrical knowledge. Professionals aiming to advance their understanding of electrical systems. Beginners with an interest in the electrical industry and technology. Technicians or maintenance workers looking to broaden their skillset. Career Path Electrician Electrical Technician Maintenance Engineer Electrical Systems Analyst Industrial Electrical Specialist

KYC, AML, & GDPR Training Course Overview This KYC, AML, and GDPR Training course offers a comprehensive introduction to the regulatory frameworks governing financial institutions and businesses. Learners will gain in-depth knowledge of Know Your Customer (KYC) protocols, Anti-Money Laundering (AML) procedures, and GDPR compliance, understanding their importance in maintaining legal and ethical business operations. The course equips professionals with the necessary skills to navigate the regulatory landscape, safeguard businesses against financial crime, and ensure compliance with data privacy laws. By the end of the course, learners will be well-prepared to apply their knowledge in real-world business environments, contributing to secure and compliant operations. Course Description This course delves into the key principles of KYC, AML, and GDPR, exploring their relevance across different industries. Learners will understand the processes involved in customer due diligence, how to identify and prevent money laundering, and how businesses must comply with data privacy regulations. The course provides a structured learning experience, focusing on the practical application of compliance measures, exploring case studies, and providing insights into current and future trends in the industry. Upon completion, participants will possess the expertise to implement these regulations within their organisations, mitigate risks, and contribute to a culture of compliance. KYC, AML, & GDPR Training Curriculum Module 01: Introduction to KYC Module 02: Customer Due Diligence Module 03: AML (Anti-Money Laundering) Module 04: KYC, AML, and Data Privacy Regulations for Business Operations in the United Kingdom Module 05: Regulations to be Complied by Industries Module 06: Methods for Carrying out KYC and AML and the Future of KYC Compliance (See full curriculum) Who is this course for? Individuals seeking to understand financial regulations and compliance. Professionals aiming to develop their knowledge of KYC, AML, and GDPR in their career. Beginners with an interest in the financial services or regulatory compliance industry. Business owners or managers who want to ensure their organisation’s compliance. Career Path Compliance Officer Anti-Money Laundering Specialist KYC Analyst Data Protection Officer Regulatory Compliance Consultant Risk Management Professional