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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.

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.

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.

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).

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.

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

Description CRYPTOCURRENCIES ARE SUPER INTERESTING AND EXCITING. They are based on a very clever and exciting new technology called the 'BLOCKCHAIN'.  As you'll learn in this course, the Blockchain may have as large of an impact on the world as the internet and PC has had over the past several decades. BUT, Bitcoin and Cryptocurrencies are extremely dangerous 'investments' and actually shouldn't even be thought of as an 'asset class' worthy of your money, if your goal is to build wealth. IN THIS COURSE, YOU WILL LEARN: Why Bitcoin and Cryptocurrencies make such a bad investment How to invest safely and responsibly to build wealth over time without taking virtually ANY risk How to think about CAPITAL ALLOCATION How to understand the fundamentals of the stock market, real estate, gold, and other asset classes How the Blockchain works and why it's getting so much hype What the Blockchain may be able to do for the world outside of investments How to AVOID LOSING MONEY on any investment Much more JOIN THE COURSE, AND LEARN HOW TO BUILD WEALTH SUCCESSFULLY AND WHY YOU SHOULD ABSOLUTELY STAY AWAY FROM INVESTING IN BITCOIN AND CRYPTOCURRENCY! What Will I Learn? How to analyze investments Why cryptocurrencies are a dangerous investment Why investing in cryptocurrencies is just gambling How to avoid losing money investing in cryptocurrencies How to measure the intrinsic value of an investment Who is the target audience? People that want to learn about Cryptocurrencies Anyone who wants to learn about investing and building wealth safely Requirements Basic knowledge of financial principles Introduction Introduction : Bitcoin and Cryptocurrency: Don't Believe the Bitcoin Hype 00:07:00 The Greatest Investor in the World on Cryptocurrency 00:06:00 The Problem with Bitcoin 00:05:00 The Risk of Hacking 00:04:00 Speculating (i.e. Gambling) vs Investing Why It Cannot Be Valued 00:08:00 Why It Violates Fundamental Investing Principles 00:07:00 What Supply and Demand Have to Say 00:05:00 Value Investing Made Simple Safety of Principal and an Adequate Return 00:14:00 Introducing 'Mr. Market' 00:09:00 Holistic Investment Analysis 00:16:00 The Margin of Safety Principle 00:13:00 Benefits of the Technology How to benefit from Blockchain Technology 00:07:00 What Does History Tell Us? 00:08:00 Where Do We Go From Here? 00:05:00 Conclusion Conclusion : Bitcoin and Cryptocurrency: Don't Believe the Bitcoin Hype 00:04:00 Mock Exam Final Exam

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.