846 Industry courses 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

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

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

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

Nanny Care Worker Course Overview The "Nanny Care Worker" course provides learners with essential knowledge and skills to thrive in a career as a nanny. It covers a range of key areas, including child development, child safety, healthy living, and effective time management. By focusing on practical, professional caregiving skills, the course ensures that learners are prepared to provide exceptional care for children. On completion, learners will be equipped to manage daily routines, foster relationships with children, and create a safe and nurturing environment. The course also offers valuable insights into career progression within the nanny industry. Course Description This course is designed to give learners a comprehensive understanding of the core responsibilities of a nanny care worker. Topics include child development, ensuring children’s safety and health, creating structured routines, and understanding early years provision. The course explores the critical role of nutrition and healthy living in a child's upbringing, alongside essential time management skills for nannies. Learners will gain insight into the role and profile of a nanny and how to establish a successful career in this field. By the end of the course, learners will possess the skills necessary to provide high-quality care and support in a professional childcare environment. Nanny Care Worker Curriculum Module 1: Introduction to Nanny Care Workers Module 2: Understanding Child Development Module 3: Care for Children Module 4: Healthy Food, Healthy Living Module 5: Keeping Children Healthy & Safe Module 6: Early Years Provision Module 7: Establishing Relationships and Routines Module 8: Time Management for Nannies Module 9: Nanny’s Job Profile Module 10: Establishing a Nanny’s Career (See full curriculum) Who is this course for? Individuals seeking to become professional nanny care workers. Professionals aiming to expand their childcare expertise. Beginners with an interest in working with children. Those looking to enter the nanny or childcare industry. Career Path Nanny Childcare Assistant Early Years Practitioner Family Support Worker Child Development Specialist Child Protection Officer

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

Course Overview The Professional Photography course provides a comprehensive journey into the world of photography, blending creative techniques with technical understanding. This course covers everything from mastering exposure and digital photography to exploring specialist scenarios such as portraits, landscapes, macro, and aerial photography. Learners will gain an in-depth understanding of camera anatomy, lighting, white balance, and post-production editing using industry-standard tools like Photoshop and Lightroom. Whether learners wish to enhance personal skills or pursue professional ambitions, this course equips them with the expertise to produce high-quality photographic work. By the end of the course, learners will be able to demonstrate proficiency across diverse photography styles, effectively manage photography equipment, and refine their editing capabilities. In addition, guidance on starting a photography business and selling work will support those looking to monetise their skills. This course offers valuable knowledge for both career development and personal enrichment in the creative industry. Course Description This course delves deeply into the art and science of photography, providing learners with a structured pathway to master both foundational principles and advanced techniques. Beginning with an introduction to camera settings, exposure, and digital photography, it progresses through specialised topics including focus and depth of field, lighting control, and the use of various photographic equipment. Learners will engage with diverse photography scenarios such as street photography, events, wildlife, and product shoots, developing a versatile skill set suitable for a range of professional contexts. The curriculum also explores post-processing with software such as Photoshop CC, Lightroom Classic CC, and mobile editing tools like Snapseed and Photoshop Express. Furthermore, modules on business development and stock photography sales offer valuable insights into potential income streams. Delivered in an engaging and accessible format, this course ensures that learners acquire both creative and technical expertise, setting a strong foundation for future opportunities in photography. Course Modules Module 01: Introduction Module 02: Exposure Module 03: Digital Photography Masterclass Module 04: Focus and Depth of Field Module 05: Camera Anatomy Module 06: White Balance and Colour Module 07: Lighting Module 08: Mobile Photography Module 09: Equipment – Cameras Module 10: Equipment – Lenses Module 11: Equipment – Accessories Module 12: Photo Scenario – Portrait Module 13: Photo Scenario – Long Exposure Module 14: Photo Scenario – Landscape Module 15: Photo Scenario – Product Module 16: Photo Scenario – Low Light Module 17: Photo Scenario – Sports & Action Module 18: Photo Scenario – Macro Module 19: Photo Scenario – Street & Architecture Module 20: Photo Scenario – Events Module 21: Photo Scenario – Aerial Module 22: Photo Scenario – Night Module 23: Introduction to Photo Editing Module 24: Photoshop CC Module 25: Lightroom Classic CC Module 26: Lightroom CC Module 27: Mac Photos Module 28: Google Photos Module 29: Photoshop Express Module 30: Snapseed Module 31: Sharing Your Photos Module 32: Starting a Photo Business Module 33: Selling Stock Photos Module 34: Printing Module 35: Wildlife Module 36: Conclusion (See full curriculum) Who is this course for? Individuals seeking to develop creative and technical photography skills. Professionals aiming to expand their visual media expertise. Beginners with an interest in photography and digital editing. Entrepreneurs wishing to build a photography business. Hobbyists looking to refine their photographic techniques. Career Path Professional Photographer Freelance Photojournalist Event and Wedding Photographer Wildlife Photographer Digital Content Creator Stock Photography Contributor Photography Business Owner Visual Media Consultant

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!