4272 Technology courses delivered Online

This course will help you explore the world of Big Data technologies and frameworks. You will develop skills that will help you to pick the right Big Data technology and framework for your job and build the confidence to design robust Big Data pipelines.

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.

https://www.lloydmaritime.com/C-S/cargo-surveying-advanced-diploma-expert-in-draught-surveying

Kanban is a popular framework used to implement Agile and DevOps software development. It requires real-time communication of capacity and full transparency of work. A Kanban board is an Agile project management tool designed to help visualize work, limit work-in-progress, and maximize efficiency (or flow).

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.

In today's digital age, mastering the art of online meetings is essential for professionals across all industries. Our comprehensive "Managing Online Meetings" course is designed to equip you with the skills and knowledge to run seamless and productive virtual meetings. Whether you're new to the world of online meetings or looking to refine your existing skills, this course will transform the way you connect and collaborate in the virtual space. Key Features: CPD Certified Developed by Specialist Lifetime Access The "Managing Online Meeting" course offers comprehensive guidance on conducting effective and professional online meetings. Learners will acquire essential skills in planning and preparing for meetings, ensuring all necessary elements are in place for a smooth session. They will learn proper meeting etiquette and useful tips to maintain professionalism and efficiency. The course provides an in-depth understanding of various online meeting platforms, helping learners choose and use the right tools for their needs. Additionally, the curriculum covers the importance of technology in taking accurate and organized meeting minutes, offering practical tips and techniques to master this crucial task. By the end of the course, participants will be well-equipped to manage online meetings confidently and competently, ensuring productive and successful virtual interactions. Course Curriculum Module 01: Planning and Preparation Module 02: Meeting Etiquette and Tips Module 03: Online Meeting Platforms Part - 01 Module 04: Online Meeting Platforms Part - 02 Module 05: Technology in Minute Taking Module 06: Tips for Minute Taking Learning Outcomes: Plan and prepare for effective online meetings. Understand online meeting etiquette and best practices. Learn to use various online meeting platforms. Enhance skills in technology for minute taking. Master techniques for accurate minute taking. Improve meeting management with efficient minute-taking strategies. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Office administrators needing meeting management skills. Managers coordinating remote team meetings. Secretaries responsible for minute taking. HR personnel managing virtual meetings. Project coordinators conducting online collaborations. Career path Office Administrator Executive Assistant Project Coordinator HR Specialist Virtual Meeting Facilitator Administrative Secretary Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

In today's digital age, mastering the art of online meetings is essential for professionals across all industries. Our comprehensive "Managing Online Meetings" course is designed to equip you with the skills and knowledge to run seamless and productive virtual meetings. Whether you're new to the world of online meetings or looking to refine your existing skills, this course will transform the way you connect and collaborate in the virtual space. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access The "Managing Online Meeting" course offers comprehensive guidance on conducting effective and professional online meetings. Learners will acquire essential skills in planning and preparing for meetings, ensuring all necessary elements are in place for a smooth session. They will learn proper meeting etiquette and useful tips to maintain professionalism and efficiency. The course provides an in-depth understanding of various online meeting platforms, helping learners choose and use the right tools for their needs. Additionally, the curriculum covers the importance of technology in taking accurate and organized meeting minutes, offering practical tips and techniques to master this crucial task. By the end of the course, participants will be well-equipped to manage online meetings confidently and competently, ensuring productive and successful virtual interactions. Course Curriculum Module 01: Planning and Preparation Module 02: Meeting Etiquette and Tips Module 03: Online Meeting Platforms Part - 01 Module 04: Online Meeting Platforms Part - 02 Module 05: Technology in Minute Taking Module 06: Tips for Minute Taking Learning Outcomes: Plan and prepare for effective online meetings. Understand online meeting etiquette and best practices. Learn to use various online meeting platforms. Enhance skills in technology for minute taking. Master techniques for accurate minute taking. Improve meeting management with efficient minute-taking strategies. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Office administrators needing meeting management skills. Managers coordinating remote team meetings. Secretaries responsible for minute taking. HR personnel managing virtual meetings. Project coordinators conducting online collaborations. Career path Office Administrator Executive Assistant Project Coordinator HR Specialist Virtual Meeting Facilitator Administrative Secretary Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

About this training course This 5-days comprehensive training not only an introduction into the issue associated with the development of oil and gas fields but also provides an in depth understanding of the issues to be considered in the development of these fields. The theme throughout this training course is Flow Assurance and Innovative Technologies. Each day consists of lectures in the morning and a hands-on workshop in the afternoon. The workshop allows the participants to appreciate the design process associated with field developments. Various software will be available during the workshop to predict Multiphase flows through wells, pipelines and risers, as well as evaluating reservoir production profiles using alternative technologies to develop reservoirs. Further software to assess Surge and environmental safety will also be available. The field design approach will consider an integrated solution through modelling the reservoir decline, wells, flowlines, risers and the host facility. The participants will have a total appreciation of the methodology required to develop offshore oil and gas fields and have an understanding of all of the Flow Assurance issues and technology requirements. Training Objectives After the completion of this training course, participants will be able to: Understand the process required and identify data to analyse Flow Assurance for oil and gas fields. Examine and Identify the Flow Assurance issues required to be evaluated for oil and gas fields design. These include; Wax, Hydrates, Slugging, Corrosion, Sand Erosion, Scaling and Surge. Establish the studies to be undertaken for each area of Flow Assurance including 'Rules of Thumb' and software to be used. Prioritize the need for innovative methods and the technologies to solve Flow Assurance issues and the need for economics considerations. Appreciate the need for an integrated analysis of the oil and fields from the reservoir to the host processing facility. Gain an appreciation of the emerging and enabling technologies for offshore fields application. Dive deeper into the operational strategies requirements to mitigate Flow Assurance issues. Target Audience This training course is suitable and will greatly benefit the following specific groups: Reservoir Engineers Flow Assurance Engineers Thermodynamics Engineers Process and Chemical Engineers Pipeline Engineers Facilities Engineers Control and Subsea Engineers working in the Oil and Gas industries Engineers in other disciplines may attend that require an appreciation of Flow Assurance Course Level Intermediate Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training Course delivery: This course is limited to a maximum of 20 participants only. A basic understanding of thermo-hydraulics would be advantageous. Morning Lectures and afternoon hands-on practical workshop. Special features: PC-based simulation software demonstration Workshop for hands-on training Course References & Additional resources: 'Flow Assurance for Oil and Gas Fields Production Transport', 1st Edition Handouts Pre & Post Assessment Trainer Your expert course leader is a renowned specialist in flow assurance management for the oil & gas field developments. His expertise enables him to support the operating and contracting companies as well as financial institutions regarding due diligence on offshore development investment decisions and associated operational system risks. Technical assessment of fields for acquisition and production enhancement opportunity. He possesses specialist expertise in evaluating difficult pipeline fluids transport such as Ethylene, Carbon Dioxide and Hydrogen through feasibility studies and technical reviews for clients. He has an exceptional academic background and natural leadership abilities are supported by practical experience of diverse projects worldwide, along with numerous publications at key conferences and publication of four books. Particular interests in developing novel and innovative technologies for subsea applications to solve difficult flow assurance problem areas and improve field development economics. He has worked on major industry projects including; Concorde aircraft fuelling system, the Channel Tunnel aerodynamics and the first deep water oil field development (Foinaven) in the West of Shetland. He is also currently developing a renewable energy solar farm and carbon neutral energy crop (Miscanthus) for domestic and commercial power generation application. He has developed in-house resources including specialist oil & gas field development evaluation software for subsea and onshore field infrastructure development options including; costing and financial analysis, reservoir viability, flow assurance assessment, subsea processing and boosting technologies, flow induced vibrations, surge analysis, heat transfer and chemical injection systems.