4631 Technology courses

As the official Flex Polisher training provider for the UK, UK Detailing Academy has worked with Flex to develop the Flexxperts course for professional detailers wanting to get the best from the Flex range of polishing machines and accessories, improve their technique, and machine polish the Flex way. Also run as a group several times a year in addition to the One to One option. For more information on the course itself, please see below. Please select from the available dates below, and then select your T-Shirt size and whether you would like to preorder a discounted machine for collection on the day at your included and exclusive Flexxpert discount rate. As part of Flex's commitment to enhanced development for users of our professional tool range, Flex UK have come together with the UK Detailing Academy to deliver the Flexperts Approved program. During this Flex Machine Polishing course, we aim to show delegates the full range that Flex tools have to offer, and at the same time deliver practical usage instructions for each tool to ensure you are getting the optimum performance and delivering the high-end quality Flex is known for worldwide. The Flexpert certification is designed to not only introduce you to the full range of Flex machine polishers and their use. We want you to gain the full benefit of our wealth of history and experience in the detailing market. During this session, you will learn more about pads, and the compound technology which accompanies them. Covering best practices and techniques will help you achieve immense results efficiently, and demonstrate the proficiency required to be awarded the Flexpert Approved Detailing Partner accreditation. The award represents an industry badge of your commitment to our high standards and knowledge which you can display to your clients, demonstrating that your business and brand's professional development and standards are associated with the world's premium polisher manufacturer. We will be covering a huge variety of detailing essential topics, starting with talking about Flex as a company and our shared ethos, before moving on to theory and demonstration of the tools, hopefully furthering existing knowledge and ensuring a consistent standard for all who work under the Flex badge. Course Length 1 Day (0930-1600) Group Size One-to-One Location UK Detailing Academy, 2 Purlieus Barn, Ewen, Cirencester, GL7 6BY Experience / Qualification Car Care Professionals Only Refreshments or Lunch Refreshments included

Overview In today's rapidly evolving world, the significance of security cannot be overstated. The 'Basic Security Guard Training' course offers a comprehensive introduction to the multifaceted realm of security, ensuring that learners grasp the foundational concepts and methodologies. From understanding the very essence of security to delving into the intricacies of risk analysis, this course covers a broad spectrum. Learners will be equipped with the knowledge of both physical and informational security measures and will be trained to respond adeptly to immediate crises. Furthermore, the course sheds light on the pivotal role of technology in security management, ensuring that participants are well-versed in contemporary security solutions. Learning Outcomes: Understand the fundamental definition and significance of security in various contexts. Analyse security risks and implement effective risk reduction strategies. Differentiate between physical and informational security measures and apply them appropriately. Respond efficiently to immediate security crises and manage potential threats. Familiarise oneself with the legal framework and regulations governing security in the UK. Why buy this Basic Security Guard Training ? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Basic Security Guard Training there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Basic Security Guard Training course for? Individuals aspiring to embark on a career in the security sector in the UK. Organisational staff members keen on enhancing their understanding of workplace security. Business owners aiming to bolster their premises' security measures. Technology enthusiasts eager to explore the intersection of tech and security. Public service workers, such as traffic controllers, seeking to integrate security knowledge into their roles. Prerequisites This Basic Security Guard Training does not require you to have any prior qualifications or experience. You can just enrol and start learning. Career path Security Analyst - Average salary range: £30,000 - £45,000 Annually Security Consultant - Average salary range: £40,000 - £60,000 Annually Physical Security Manager - Average salary range: £35,000 - £50,000 Annually Information Security Officer - Average salary range: £45,000 - £65,000 Annually Crisis Response Coordinator - Average salary range: £32,000 - £48,000 Annually Security Technology Specialist - Average salary range: £38,000 - £55,000 Annually Course Curriculum Module 01: Definition and Importance of Security Definition and Importance of Security 00:16:00 Module 02: Career Prospect of Security Guard in the UK Career Prospect of Security Guard in the UK 00:11:00 Module 03: Security Risk Analysis and Risk Reduction Security Risk Analysis and Risk Reduction 00:25:00 Module 04: Physical and Information Security Protection Physical and Information Security Protection 00:36:00 Module 05: Response to Immediate Crisis Response to Immediate Crisis 00:26:00 Module 06: The Use of Technology for Managing Security The Use of Technology for Managing Security 00:25:00 Module 07: General Patrol Tactics and Techniques General Patrol Tactics and Techniques 00:25:00 Module 08: Public Relations and Traffic Control Public Relations and Traffic Control 00:21:00 Module 09: Violence in the Workplace Violence in the Workplace 00:27:00 Module 10: Laws and Regulations Laws and Regulations 00:29:00 Assignment Assignment - Basic Security Guard Training 00:00:00

Common chemistries, including lead acid, lithium ion, and nickel iron, each have different installation, maintenance, storage, and transportation requirements that can lead to fatal consequences if not conducted properly. This 8-hr online course, produced under an OSHA Susan Harwood Training Grant, provides training on the hazards associated with each energy storage technology and the control measures to eliminate or mitigate those hazards. This training includes five lessons for a total of 4 contact training hours. Lessons includes presentations, field videos, interactive exercises, and quizzes. Lesson content includes Lesson 1: Introduction to the Course and OSHA requirements Lesson 2: Energy Storage Technologies- Energy storage basics, lead-acid energy storage systems, lithium-ion energy storage, other types of electrochemical energy storage systems Lesson 3: Energy Storage Safety Regulations- OSHA safety regulations, NFPA 70 (the National Electrical Code) and NFPA 70E (Standard for Electrical Safety in the Workplace) NFPA 855 (Installation of Stationary Energy Storage Systems), the International Residential Code (IRC) and the International Fire Code (IFC) Lesson 4: Electrical Hazards- Electrical shock hazards, electrical arc flash hazards, electrical PPE, electrical connection hazards Lesson 5: Other Hazards- Chemical hazards, fire hazards, gas hazards, physical hazards, storage and transportation hazards, temperature effects on batteries, working space and clean installations

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Description Paralegal Diploma The Paralegal Diploma is an exceptional course for individuals who aspire to become paralegals or seek to advance their paralegal career. This course provides a comprehensive overview of the paralegal profession and equips students with essential skills and knowledge to become proficient paralegals. The Paralegal Diploma begins with an introduction to the paralegal profession. Students will learn about the role and responsibilities of paralegals, the legal system, and the paralegal career path. This unit provides a foundation for the rest of the course and helps students understand what they can expect from a career in the legal industry. Next, students will delve into essential paralegal skills. They will learn about legal research, drafting legal documents, and case management. These skills are fundamental for paralegals to carry out their duties effectively, and this unit will provide a strong foundation for these skills. Paralegal ethics and professional responsibility are critical for paralegals to uphold. The Paralegal Diploma provides students with a thorough understanding of the ethical and professional standards of the legal industry. Students will learn about confidentiality, client-attorney privilege, and conflicts of interest. In addition to the essential skills and ethical responsibilities, paralegals need to be proficient in technology and tools. The Paralegal Diploma provides students with an in-depth understanding of the latest technologies and software used in the legal industry. Students will learn about e-discovery, document management, and legal research databases. Working in different legal environments is another essential aspect of the paralegal profession. This course covers the various legal environments in which paralegals work, including law firms, corporations, and government agencies. Students will learn about the different types of law firms and the various roles and responsibilities of paralegals in each environment. Understanding the legal system is critical for paralegals. The Paralegal Diploma provides students with a comprehensive overview of the legal system in the United Kingdom. Students will learn about the court system, the different types of law, and the hierarchy of laws. Property and conveyancing, family law, and employment law are three specific areas in which paralegals may choose to specialise. The Paralegal Diploma covers each of these areas in detail, providing students with a comprehensive understanding of the legal principles and procedures involved. In conclusion, the Paralegal Diploma is an excellent course for anyone looking to start or advance their career in the legal industry. The course covers a broad range of topics and provides students with a strong foundation in essential paralegal skills, ethical responsibilities, and legal principles. Graduates of this course will be well-equipped to pursue a rewarding and challenging career as a paralegal in the United Kingdom. What you will learn 1:Introduction to the Paralegal Profession 2:The Paralegal Career Path 3:Essential Paralegal Skills 4:Paralegal Ethics and Professional Responsibility 5:Paralegal Technology and Tools 6:Working in Different Legal Environments 7:Understanding the Legal System 8:Property and Conveyancing Paralegals 9:Family Law Paralegals 10:Employment Law Paralegals Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Duration 3 Days 18 CPD hours This course is intended for System administrators and operators who are operating in the AWS Cloud Informational technology workers who want to increase the system operations knowledge. Overview Identify the AWS services that support the different phases of Operational Excellence, an AWS Well-Architected Framework pillar Manage access to AWS resources using AWS accounts and organizations and AWS Identity and Access Management (IAM) Maintain an inventory of in-use AWS resources by using AWS services, such as AWS Systems Manager, AWS CloudTrail, and AWS Config Develop a resource deployment strategy using metadata tags, Amazon Machine Images (AMIs), and AWS Control Tower to deploy and maintain an AWS cloud environment Automate resource deployment by using AWS services, such as AWS CloudFormation and AWS Service Catalog Use AWS services to manage AWS resources through CloudOps lifecycle processes, such as deployments and patches Configure a highly available cloud environment that uses AWS services, such as Amazon Route 53 and Elastic Load Balancing, to route traffic for optimal latency and performance Configure AWS Auto Scaling and Amazon EC2 Auto Scaling to scale out your cloud environment based on demand Use Amazon CloudWatch and associated features, such as alarms, dashboards, and widgets, to monitor your cloud environment Manage permissions and track activity in your cloud environment by using AWS services, such as AWS CloudTrail and AWS Config Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service State the purpose, benefits, and appropriate use cases for mountable storage in your AWS Cloud environment Explain the operational characteristics of object storage in the AWS Cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier Build a comprehensive cost model to help gather, optimize, and predict your cloud costs by using services such as AWS Cost Explorer and the AWS Cost & Usage Report This course teaches systems operators and anyone performing cloud operations functions how to manage and operate automatable and repeatable deployments of networks and systems on AWS. You will learn about cloud operations functions, such as installing, configuring, automating, monitoring, securing, maintaining, and troubleshooting these services, networks, and systems. The course also covers specific AWS features, tools, and best practices related to these functions. Prerequisites Successfully completed the AWS Technical Essentials course Background in either software development or systems administration Proficiency in maintaining operating systems at the command line, such as shell scripting in Linux environments or cmd/PowerShell in Windows Basic knowledge of networking protocols (TCP/IP, HTTP) 1 - Introduction to Cloud Operations on AWS What is Cloud Operations AWS Well-Architected Framework AWS Well-Architected Tool 2 - Access Management AWS Identity and Access Management (IAM) Resources, accounts, and AWS Organizations 3 - System Discovery Methods to interact with AWS services Tools for automating resource discovery Inventory with AWS Systems Manager and AWS Config Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config 4 - Deploy and Update Resources Cloud Operations in deployments Tagging strategies Deployment using Amazon Machine Images (AMIs) Deployment using AWS Control Tower 5 - Automate Resource Deployment Deployment using AWS CloudFormation Deployment using AWS Service Catalog Hands-On Lab: Infrastructure as Code 6 - Manage Resources AWS Systems Manager Hands-On Lab: Operations as Code 7 - Configure Highly Available Systems Distributing traffic with Elastic Load Balancing Amazon Route 53 8 - Automate Scaling Scaling with AWS Auto Scaling Scaling with Spot Instances Managing licenses with AWS License Manager 9 - Monitor and Maintain System Health Monitoring and maintaining healthy workloads Monitoring AWS infrastructure Monitoring applications Hands-On Lab: Monitor Applications and Infrastructure 10 - Data Security and System Auditing Maintaining a strong identity and access foundation Implementing detection mechanisms Automating incident remediation 11 - Operate Secure and Resilient Networks Building a secure Amazon Virtual Private Cloud (Amazon VPC) Networking beyond the VPC 12 - Mountable Storage Configuring Amazon Elastic Block Store (Amazon EBS) Sizing Amazon EBS volumes for performance Using Amazon EBS snapshots Using Amazon Data Lifecycle Manager to manage your AWS resources Creating backup and data recovery plans Configuring shared file system storage Hands-On Lab: Automating with AWS Backup for Archiving and Recovery 13 - Object Storage Deploying Amazon Simple Storage Service (Amazon S3) Managing storage lifecycles on Amazon S3 14 - Cost Reporting, Alerts, and Optimization Gaining AWS cost awareness Using control mechanisms for cost management Optimizing your AWS spend and usage Hands-On Lab: Capstone lab for CloudOps Additional course details: Nexus Humans Cloud Operations 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 Cloud Operations 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.

Machine Learning is reshaping industries faster than you can say "algorithm". Our Machine Learning with Python Course is built for those who are genuinely curious about how machines learn, make decisions, and improve with data. With Python as your trusty companion, you’ll explore the key concepts and core techniques behind predictive modelling, supervised and unsupervised learning, and data-driven algorithms—all explained in a clear and digestible manner. No fluff, no filler—just solid learning with a structured approach. You’ll journey through essential modules that guide you from the fundamentals of machine learning to building models that actually do something meaningful. Whether you're brushing up your CV or aiming to understand how systems like recommendation engines or fraud detection work, this course offers insight that clicks. Python’s role in the process isn’t treated as a side note—it's woven through each section so you're building knowledge that’s both relevant and up-to-date in today’s data-focused world. If you’re ready to treat your brain to some serious logic and clever code, then this course has your name written in Pythonic syntax. Learning Outcomes: Understand the fundamentals of machine learning. Manipulate data using Numpy and Pandas libraries. Build and evaluate machine learning models using Sklearn pipeline and column transformer. Explore the world of data analysis with Pandas DataFrame. Contribute to the development of cutting-edge technology in the field of machine learning. The Machine Learning with Python course is designed to provide you with the skills and knowledge needed to develop and evaluate machine learning models using Python. In this course, you'll learn how to manipulate data using Numpy and Pandas libraries, build and evaluate machine learning models using Sklearn pipeline and column transformer, and explore the world of data analysis with Pandas DataFrame. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in machine learning development. By the end of this course, you'll have a deep understanding of the fundamentals of machine learning and how to contribute to the development of cutting-edge technology in this exciting field. With hands-on experience in manipulating data and building and evaluating machine learning models, you'll be well-equipped to start a career in machine learning. Machine Learning with Python Course Course Curriculum Section 01: Introduction Section 02: Numpy Library Section 03: Matplotlib Section 04: Polynomial Regression How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Career path Aspiring data scientists. Machine learning engineers. Developers interested in machine learning development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Stock markets move with more mystery than a magician’s deck of cards — but behind every dramatic rise and cryptic dip lies data, and data tells a story. This course dives straight into that narrative using deep learning techniques to forecast stock prices with logic, precision, and a pinch of technical finesse. Ideal for those ready to apply neural networks in finance-focused projects, the course simplifies complex theories without watering down their analytical power. From sequence modelling to time-series predictions using LSTM and beyond, you’ll explore how deep learning tools are being used to understand financial patterns and fluctuations. This course isn’t about abstract theory or vague strategies — it’s a focused look at how data science meets deep learning in the stock market sphere. Whether you’re a data enthusiast or an aspiring financial analyst, this course offers you the clarity and direction needed to interpret and anticipate stock price movement with greater confidence. Learning Outcomes: Build a deep learning model using RNN that can accurately predict stock prices. Preprocess data and perform exploratory data analysis. Scale features and make predictions on test data. Gain real-world experience in deep learning development. Contribute to the development of cutting-edge technology in the finance industry. The Hands-on Deep Learning Projects - Stock Price Prognostics course is designed to provide you with the skills and knowledge needed to develop a deep learning model using RNN that can accurately predict stock prices. In this course, you'll learn how to preprocess data, perform exploratory data analysis, scale features, and make predictions on test data. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in deep learning development. By the end of this course, you'll have a deep understanding of how to build a deep learning model that can revolutionise the world of finance. With hands-on experience in developing cutting-edge technology, you'll be well-equipped to start a career in deep learning and contribute to the development of cutting-edge technology in the finance industry. Hands on Deep Learning Projects - Stock price Prognostics Course Curriculum Section 01: Introduction Section 02: Installation of Tools and Libraries Section 03: Dataset Section 04: EDA Section 05: Feature Scaling Section 06: Building RNN Section 07: Prediction on Test Data Section 08: Output How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in deep learning development. Anyone interested in the field of deep learning. Professionals looking to upskill in the latest technology. Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Quantitative Analyst: £30,000 to £80,000 per year. Financial Data Analyst: £25,000 to £60,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

If you're fascinated by the mysteries of market movement and want to explore how machines attempt to predict tomorrow's numbers today, this Stock Price Prognostics Course will suit your curious streak perfectly. Built around deep learning models tailored for time series forecasting, the course takes a closer look at how algorithms can be trained to recognise patterns, spot trends, and occasionally raise an eyebrow at the randomness of stock data. It’s technical, structured, and surprisingly satisfying — no crystal ball involved, just code that tries its best. Focusing on stock price prognostics through real datasets, the course guides you through model building, evaluation metrics and common forecasting techniques using neural networks — all in plain English, with clear explanations and zero mystique. It’s suited to those who enjoy a challenge, appreciate a bit of data drama, and prefer graphs that actually say something. Whether you're brushing up on deep learning or building from the ground up, this course connects theory with application in a focused, jargon-light approach — and no need to wear a tie or trade a share. Learning Outcomes: Build a deep learning model using RNN that can accurately predict stock prices. Preprocess data and perform exploratory data analysis. Scale features and make predictions on test data. Gain real-world experience in deep learning development. Contribute to the development of cutting-edge technology in the finance industry. The Hands-on Deep Learning Projects - Stock Price Prognostics course is designed to provide you with the skills and knowledge needed to develop a deep learning model using RNN that can accurately predict stock prices. In this course, you'll learn how to preprocess data, perform exploratory data analysis, scale features, and make predictions on test data. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in deep learning development. By the end of this course, you'll have a deep understanding of how to build a deep learning model that can revolutionise the world of finance. With hands-on experience in developing cutting-edge technology, you'll be well-equipped to start a career in deep learning and contribute to the development of cutting-edge technology in the finance industry. ⊱⊱ Hands on Deep Learning Projects - Stock price Prognostics Course Curriculum Section 01: Introduction Section 02: Installation of Tools and Libraries Section 03: Dataset Section 04: EDA Section 05: Feature Scaling Section 06: Building RNN Section 07: Prediction on Test Data Section 08: Output How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in deep learning development. Anyone interested in the field of deep learning. Professionals looking to upskill in the latest technology. Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Quantitative Analyst: £30,000 to £80,000 per year. Financial Data Analyst: £25,000 to £60,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.