Description For some years, the UK financial regulators have been placing expectations on firms to treat their customers fairly and with plenty of care. This includes vulnerable clients, or those defined by the FCA as individuals 'who, due to their personal circumstances, [are] especially susceptible to detriment, particularly when a firm is not acting with appropriate levels of care.' Throughout this course, you will gain insight into the definition of vulnerable clients and how your company can better cater to this group's needs, preferences, and personalities. More specifically, by the end of this course, you will be able to: ï Know how vulnerable customer management started. ï Understand what vulnerability means. ï Recognise traits of vulnerability. ï Demonstrate an awareness of the 4 key pillars of vulnerability and how the UK financial regulators think you can help manage vulnerable customers in your organisation. Training Duration This course may take up to 2 hours to be completed. However, actual study time differs as each learner uses their own training pace. Training Method The course is offered fully online using a self-paced approach. The learning units consist of reading material. Learners may start, stop and resume their training at any time. At the end of each session, participants take a Quiz to complete their learning unit and earn a Certificate of Completion upon completion of all units. Accreditation and CPD Recognition This programme has been developed by the London Governance and Compliance Academy (LGCA), a UK-recognised training institution. Registration and Access To register to this course, click on the Get this course button to pay online and receive your access instantly. If you are purchasing this course on behalf of others, please be advised that you will need to create or use their personal profile before finalising your payment. If you wish to receive an invoice instead of paying online, please contact us at info@lgca.uk.
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Wellbeing: Wellbeing Training Course online Unlock the Power of Wellbeing: Wellbeing Training Course: Enrol Now! If you want to learn about Wellbeing: Wellbeing Training Course and become an expert in the field, you have arrived at the right place. This Wellbeing: Wellbeing Training Course is designed to raise awareness of mental health and well-being, as well as some of the issues that affect health, mental health, and well-being. This Wellbeing: Wellbeing Training Course aims to provide a thorough understanding of a wide range of well-being topics such as stress, personal safety, dementia, and living a healthy lifestyle. The Wellbeing: Wellbeing Training Course is ideal for students who want to learn more about well-being. After completing this Wellbeing: Wellbeing Training Course, you will understand the impact of lifestyle choices and be confident in making informed, healthy lifestyle choices. Why choose this Wellbeing: Wellbeing Training Course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Wellbeing: Wellbeing Training Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the Wellbeing: Wellbeing Training Course. Main Course: Wellbeing Training Course Courses you will get in this Wellbeing: Wellbeing Training Course Course 01: Level 1 Diet and Nutrition Course 02: Level 5 Mental Health Care [ Note: Free PDF certificate will provide as soon as completing the Wellbeing: Wellbeing Training Course] Wellbeing: Wellbeing Training Course online This Wellbeing: Wellbeing Training Course consists of 05 modules. Course Curriculum of Wellbeing: Wellbeing Training Course Module 01: Introduction to Stress and Stress Management Module 02: Develop an Awareness of Mental Health Module 03: Develop an Awareness of Substance Misuse Module 04: Introductory Awareness of the Importance of Healthy Eating and Drinking for Adults Module 05: Dementia Awareness Certification of Wellbeing: Wellbeing Training Course After completing the Wellbeing: Wellbeing Training Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Assessment Method of Wellbeing: Wellbeing Training Course After completing Wellbeing: Wellbeing Training Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Who is this course for? Wellbeing: Wellbeing Training Course online This comprehensive Wellbeing: Wellbeing Training Course is suitable for individuals who want to learn more about their own and others' well-being. Requirements Wellbeing: Wellbeing Training Course online To enrol in this Wellbeing: Wellbeing Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Wellbeing: Wellbeing Training Course. Be energetic and self-motivated to complete our Wellbeing: Wellbeing Training Course. Basic computer Skill is required to complete our Wellbeing: Wellbeing Training Course. If you want to enrol in our Wellbeing: Wellbeing Training Course, you must be at least 15 years old. Career path Wellbeing: Wellbeing Training Course online
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Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers System Administrators Solutions Architects Overview This course is designed to teach you how to: Design a microservices-based architecture that uses containers Use Amazon ECS to run and scale a microservices-based application Integrate Amazon ECS with other AWS services Running Container-Enabled Microservices on AWS is designed to teach you how to manage and scale container-enabled applications by using Amazon Elastic Container Service (ECS). This course highlights the challenges of running containerized applications at scale and provides guidance on creating and using Amazon ECS to develop and deploy containerized microservices-based applications. In the hands-on lab exercises you will use Amazon ECS to handle long-running services, build and deploy container images, link services together, and scale capacity to meet demand. You will also learn how to run container workers for asynchronous application processes. Module 1a: Overview of Microservices on AWS Welcome to Simple Mustache Service! The monolith What are microservices? How to implement a microservices infrastructure The six principles of microservices Module 1b: Containers and Docker Introduction to containers Comparing virtual machines with containers Docker Running containers Storing container images Hands-on lab: Building and running your first container Module 2: Continuous delivery for container-based microservices Compare and contrast different software development cycles Use AWS CodePipeline to code, build, and deploy a microservice Use AWS CodeCommit as a source control service Use Jenkins to perform a Docker build Use Postman to run and test microservices Use AWS CloudFormation to provision and deploy microservices Hands-on lab: Using the Amazon ECS Service Scheduler Module 3: High availability and scaling with Amazon Elastic Container Service High availability Cluster management and scheduling Monitoring Scaling a cluster Scaling services Hands-on lab: Continuous delivery pipelines for container-based microservices Module 4: Security for container-based microservices Implement security Apply best practices Automate security Evaluate compliance requirements Embed security into the CI/CD Hands-on lab: Extending Amazon ECS with Service Discovery and Config Management Additional course details: Nexus Humans Running Container Enabled Microservices on AWS 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 Running Container Enabled Microservices on AWS 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 5 Days 30 CPD hours This course is intended for Linux system administrators, site reliability engineers, and other IT professionals with some Ansible experience who are interested in learning how to manage and automate the deployment, configuration, and operation of key network services included with Red Hat Enterprise Linux 8. Overview Provide key network services using software included with Red Hat Enterprise Linux 8, including DNS with Unbound and BIND9, DHCP and DHCPv6, client e-mail transmission, printing service, NFS and SMB protocol file sharing, SQL database service with MariaDB, and web services using Apache HTTPD, nginx, Varnish, and HAProxy. Configure advanced networking for server use cases, including device teaming. Use Red Hat Ansible Engine to automate the manual deployment and configuration tasks covered in this course. Learn how to configure, manage, and scale key services used in the data center Red Hat Services Management and Automation (RH358) is designed for IT professionals with some experience managing Linux© systems and want to learn more about how to manage and deploy network services included with Red Hat© Enterprise Linux which are particularly important in the modern IT data center. You will learn how to install, configure, and manage basic configurations of these services manually, and then use Red Hat Ansible© Engine to automate your work in a scalable, repeatable manner. This course is based on Red Hat Ansible Engine 2.9 and Red Hat Enterprise Linux 8.1. 1 - Manage network services Discuss and review key tools and skills needed to manage network services. 2 - Configure link aggregation Improve the redundancy or throughput of network connections of servers by configuring Linux network teaming between multiple network interfaces. 3 - Manage DNS and DNS servers Explain the operation of DNS service, troubleshoot DNS issues, and configure servers to act as a DNS caching nameserver or as an authoritative name server. 4 - Manage DHCP and IP address assignment Explain and configure services used for IPv4 and IPv6 address assignment including DHCP, DHCPv6, and SLAAC. 5 - Manage printers and printing files Configure systems to print to a network printer that supports IPP Everywhere, as well as manage existing printer queues. 6 - Configure email transmission Discuss how mail servers operate, then configure a server to use system tools and Postfix to send email messages through an outbound mail relay. 7 - Configure MariaDB SQL databases Discuss the basic operation of SQL-based relational databases, perform basic SQL queries for troubleshooting, and be able to set up a simple MariaDB database service. 8 - Configure web servers Provide web content from Apache HTTPD or Nginx web servers, then configure them with virtual hosts and TLS-based encryption. 9 - Optimize web server traffic Improve performance of your web servers by using Varnish to cache static content being served and HAProxy to terminate TLS connections and balance load between servers. 10 - Provide file-based network storage Deliver simple file-based network shares to clients using the NFS and SMB protocols. 11 - Access block-based network storage Configure iSCSI initiators on your servers to access block-based storage devices provided by network storage arrays or Ceph storage clusters.
Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R