440 Engineering courses in Shoreham-by-Sea delivered Live Online

Where should management effort be directed? In controlling costs and ensuring proper engineering in live projects? - yes, of course, but true cost control comes by understanding, eliminating and minimising risk prior to a business committing any funds. This course studies the stages required for practical financial and business appraisals of projects and capital expenditure. This course has two primary objectives: To impart the knowledge and skills required to ensure as risk-free as possible expenditure of that scarce resource, cash - the investors', governments' or shareholders' money must not be squandered To improve the quality of the appraisal process in the widest sense - demonstrating how the process of project and capital expenditure appraisal can be used to dramatically improve cost control and deliver as risk-free as possible expenditure As a result of the course, participants will be able to: Understand the economics of appraisal Be in control of their projects from the start Understand the economics of their projects - and devise the most appropriate mode Carry out sensitivity analysis and identify risk Improve their methods of appraisal and approach Focus on the risk areas and take out risk and control costs before they over-run The benefits of attending this course will be demonstrable from day one. Thorough appraisals and risk assessment follow through to success in project management and detailed cost control and project management. 1 Introduction Why appraise? Taking risk out of investment The short- and long-term results of not appraising business expenditure 2 Developing an appraisal process The process - overall and stage-by-stage objectives Understand business and technical risks Manage resources and time Do you invest enough time and effort at this stage? Take out the risks - control costs before you are committed to contracts and action Checklists 3 Appraisal arithmetic Review of the arithmetic of appraisalThe time value of moneyThe effects of different interest or required ratesThe effects of inflation (or deflation) in prices and costs Understanding the economics of appraisal is essential 4 Appraisal measures Meaning and use of appraisal measures Identifying the most appropriate measures for your particular business Payback Discounted cash flow measures - NPV and IRR Other measures - FW, AW, Profitability Index The meaning of the measures and their application in practice 5 Cost benefit analysis The effect on decision-making of more intangible benefits Cost benefit analysis Ensuring costs are genuine Measuring intangible benefits Environmental issues Consideration of intangible benefits in the appraisal decision-making process 6 Developing appropriate models Developing models - examples of spreadsheet models and measures for many different situations Modelling investment opportunities - summarising outcomes Sensitivity analysis - identifying, quantifying and taking out risk 7 Developing an appraisal process The process - managing risk from the outset Using the process in risk management, negotiating and project management Take out risk by thoroughly knowing your project - developing your own process

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 This course is for wireless engineers who work in the following roles: Consulting systems engineer Network administrator Network engineer Network manager Sales engineer Systems engineer Technical solutions architect Wireless design engineer Wireless engineer Overview After taking this course, you should be able to: Describe and implement a Cisco-recommended structured design methodology Describe and implement industry standards, amendments, certifications, and Requests For Comments (RFCs) Describe and implement Cisco enhanced wireless features Describe and implement the wireless design process Describe and implement specific vertical designs Describe and implement site survey processes Describe and implement network validation processes The Designing Cisco Enterprise Wireless Networks (ENWLSD) v1.1 course gives you the knowledge you need to design Cisco© wireless networks. The course covers design specifics from scenario design concepts through the installation phase and into post-deployment validation.This course, including the self-paced material, helps prepare you to take the exam, Designing Cisco Enterprise Wireless Networks (300-425 ENWLSD), which leads to to the new CCNP© Enterprise and Cisco Certified Specialist ? Enterprise Wireless Design certifications. Describing and Implementing a Structured Wireless Design Methodology Importance of Planning Wireless Design with a Structured Methodology Cisco Structured Design Model Cisco Design Guides and Cisco Validated Designs for Wireless Networks Role of the Project Manager When Designing Wireless Networks Describing and Implementing Industry Protocols and Standards Wireless Standards Bodies Institute of Electrical and Electronics Engineers (IEEE) 802.11 Standard and Amendments Wi-Fi Alliance (WFA) Certifications Relevant Internet Engineering Task Force (IETF) Wireless RFCs Practice Activity Describing and Implementing Cisco Enhanced Wireless Features Hardware and Software Choices for a Wireless Network Design Cisco Infrastructure Settings for Wireless Network Design Cisco Enhanced Wireless Features Examining Cisco Mobility and Roaming Mobility and Intercontroller Mobility in a Wireless Network Optimize Client Roaming in a Wireless Network Cisco Workgroup Bridge (WGB) and WGB Roaming in a Wireless Network Describing and Implementing the Wireless Design Process Overview of Wireless Design Process Meet with the Customer to Discuss the Wireless Network Design Customer Information Gathering for a Wireless Network Design Design the Wireless Network Deployment of the Wireless Network Validation and Final Adjustments of the Wireless Network Wireless Network Design Project Documents and Deliverables Describing and Implementing Specific Vertical Designs Designs for Wireless Applications Wireless Network Design Within the Campus Extend Wireless Networks to the Branch Sites Examining Special Considerations in Advanced Wireless Designs High-Density Designs in Wireless Networks Introducing Location and Cisco Connected Mobile Experiences (CMX) Concepts Design for Location FastLocate and HyperLocation Bridges and Mesh in a Wireless Network Design Redundancy and High Availability in a Wireless Network Describing and Implementing the Site Survey Processes Site Survey Types Special Arrangements Needed for Site Surveys Safety Aspects to be Considered During Site Surveys Site Survey Tools in Cisco Prime Infrastructure Third-Party Site Survey Software and Hardware Tools Describing and Implementing Wireless Network Validation Processes Post-installation Wireless Network Validation Making Post-installation Changes to a Wireless Network Wireless Network Handoff to the Customer Installation Report

Course Overview This all-inclusive Mechanic Training – Car & Bike Maintenance course bundle is designed for those looking to build a strong foundation in vehicle servicing, maintenance, and diagnostics. Covering both two-wheelers and four-wheelers, this programme equips learners with essential knowledge across mechanical systems, fault detection, and routine upkeep. Whether you're looking to understand how engines operate, explore electrical and hybrid systems, or develop expertise in both traditional and modern vehicles, this training provides a diverse skill set tailored for today’s automotive industry. Upon completion, learners will have the theoretical knowledge to approach mechanical challenges confidently and pursue opportunities in various vehicle maintenance settings. With a structured curriculum and recognised certification, this course opens the door to a range of motor industry roles across garages, dealerships, and service centres. Course Description This comprehensive training package combines eight specialist courses that cover vital areas of automotive engineering and vehicle maintenance. Learners will explore key concepts in car and motorbike servicing, mechanical engineering, MET work, onboard diagnostics, and hybrid vehicle systems. The course also delves into bicycle maintenance and two-wheeler servicing to ensure a well-rounded understanding of all vehicle types. Each module is structured to guide learners through essential maintenance processes, diagnostic techniques, and component assessments. The learning experience is enriched with clear explanations, technical insights, and job-relevant scenarios. Whether preparing for a career in vehicle maintenance or aiming to broaden your automotive knowledge, this bundle offers a flexible and accessible route to developing industry-relevant skills. Learners will gain confidence in understanding engine systems, suspension setups, braking mechanisms, and electrical components essential for today’s automotive sector. Course Modules Module 01: Mechanical Engineering Module 02: Car Mechanic Training Module 03: Motorbike Maintenance Module 04: Bicycle Maintenance Course Module 05: Automotive Engineering: Onboard Diagnostics Module 06: MET Technician Module 07: Hybrid Vehicle Expert Training Module 08: Certificate Course In Two Wheeler Servicing (See full curriculum) Who is this course for? Individuals seeking to develop technical knowledge in vehicle maintenance. Professionals aiming to expand into multi-vehicle service roles. Beginners with an interest in automotive engineering or vehicle repair. Career changers looking to enter the motor industry. Career Path Car Mechanic Motorbike Technician MET Technician Diagnostic Specialist Hybrid Vehicle Specialist Bicycle Technician Automotive Service Advisor Vehicle Systems Analyst

Management of Portfolios (MoP®) Foundation: In-House Training In this MoP® Foundation course, participants will acquire the sufficient knowledge and understanding of the principles, cycles, practices, techniques, roles, responsibilities, documents, and organizational context within which portfolio management operates. MoP helps organizations ensure if the investments are done in the right change initiatives and implementing them correctly. This is achieved by: Prioritizing the programs and projects in terms of their contribution to the organization's strategic objectives and overall level of risk Managing the programs and projects consistently to ensure efficient and effective delivery Maximizing the benefit by providing the greatest return from the investment made What You Will Learn Individuals certified at the MoP Foundation level will be able to: Define the scope and objectives of portfolio management and how it differs from program and project management List the benefits of applying portfolio management Explain the context it operates in List the principles upon which successful portfolio management is based on List the different approaches to implement MoP List the factors required to maintain the progress and assess the success of portfolio management State the purpose and key content of the major portfolio documents Define the scope of key portfolio management roles Introduction: MoP Scenario Background of the Methodology The MoP Principles Senior Management Commitment Governance Alignment Strategy Alignment Portfolio Office Energized Change Culture The MoP Definition Cycle Roles and Responsibilities The MoP Delivery Cycle Management control Benefits management Financial management Risk management Stakeholder engagement Organizational governance Resource management The MoP Framework Recap

Management of Portfolios (MoP®) Foundation: Virtual In-House Training In this MoP® Foundation course, participants will acquire the sufficient knowledge and understanding of the principles, cycles, practices, techniques, roles, responsibilities, documents, and organizational context within which portfolio management operates. MoP helps organizations ensure if the investments are done in the right change initiatives and implementing them correctly. This is achieved by: Prioritizing the programs and projects in terms of their contribution to the organization's strategic objectives and overall level of risk Managing the programs and projects consistently to ensure efficient and effective delivery Maximizing the benefit by providing the greatest return from the investment made What You Will Learn Individuals certified at the MoP Foundation level will be able to: Define the scope and objectives of portfolio management and how it differs from program and project management List the benefits of applying portfolio management Explain the context it operates in List the principles upon which successful portfolio management is based on List the different approaches to implement MoP List the factors required to maintain the progress and assess the success of portfolio management State the purpose and key content of the major portfolio documents Define the scope of key portfolio management roles Introduction: MoP Scenario Background of the Methodology The MoP Principles Senior Management Commitment Governance Alignment Strategy Alignment Portfolio Office Energized Change Culture The MoP Definition Cycle Roles and Responsibilities The MoP Delivery Cycle Management control Benefits management Financial management Risk management Stakeholder engagement Organizational governance Resource management The MoP Framework Recap

This highly interactive program focuses on building the business focus on value to be achieved from initiatives. The practices in this program apply equally to projects and programs. Participants will gain insight into the capabilities needed to develop the culture, processes, and tools behind validation, what true initiatives' success looks like, which can be closely linked to achieving value. They will learn and experiment with a variety of value definition and management techniques. Working in small groups, they will collaborate with others to brainstorm, share experiences, and apply concepts to the ongoing value confirmation goal. Participants will also discover the importance of designing metrics around value and addressing blind spots that could happen when the focus is on the wrong metrics and how that could lead to the wrong behaviors being practiced. Participants will also gain insights into key skills for leading and working in the future. Hands-on experimentation activities enhance the theoretical learning, grounding it in real life and giving opportunities to practice creativity in capturing value.

For new users and the curious. Hello, For new users and the curious. IMPORTANT: Firstly, once you are signed up, send us your requests on what you would like to see within the demonstration and learn on the course. We will then cater for your needs and answer them during the session. This is designed to be an introduction into how to start a room by room survey using the Heat Engineer app, then sending this survey to the online dashboard. We will then go through the different steps to complete this heat loss report. Optional pages will also be worked through and shown. Examples of how to select the flow temperature and the heat source (heat pumps and boilers) will be presented once the heat loss result is completed.

Symmetrical Components for Three Phase Power Analysis Course Overview This course on Symmetrical Components for Three Phase Power Analysis provides a comprehensive introduction to a fundamental technique used in electrical power engineering. Learners will explore how symmetrical components simplify the analysis of unbalanced three-phase power systems, enhancing their ability to diagnose and solve complex electrical faults. The course offers clear explanations of key concepts such as positive, negative, and zero sequence components, as well as the mathematical tools required to apply them effectively. By completing this course, participants will gain valuable skills that improve their understanding of power system behaviour, enabling more accurate system design, fault analysis, and operational decision-making. This knowledge is essential for engineers, technicians, and students engaged in power system analysis and maintenance. Course Description This detailed course delves into the principles and applications of symmetrical components within three-phase power systems. Starting with an introduction to the historical background and theoretical framework, learners will examine the mathematical derivation and significance of symmetrical components. Key topics include the definition and roles of the positive, negative, and zero sequence components, the “a” operator used in transformations, and the synthesis equations that enable conversion between phase and sequence quantities. The course also emphasises problem-solving techniques through a variety of illustrative examples, fostering a thorough understanding of how symmetrical components aid in analysing unbalanced loads and fault conditions. Learners will develop the ability to interpret and manage three-phase system data with greater precision, a crucial skill for careers in electrical engineering and power system operation. Symmetrical Components for Three Phase Power Analysis Curriculum: Module 01: Introduction Module 02: Symmetrical Components Overview Module 03: The Components Module 04: The “a” Operator Module 05: Working with the a Operator Module 06: Synthesis Equations Module 07: Problems & Solutions (See full curriculum) Who is this course for? Individuals seeking to enhance their understanding of three-phase power systems. Professionals aiming to advance their expertise in electrical power engineering. Beginners with an interest in electrical engineering and power system analysis. Engineering students preparing for careers in power distribution and fault analysis. Career Path Electrical Power Engineer Power System Analyst Electrical Design Engineer Maintenance Engineer in Power Utilities Technical Specialist in Energy Sector

Duration 3 Days 18 CPD hours This course is intended for This class is intended for the following customer job roles: Cloud architects, administrators, and SysOps personnel Cloud developers and DevOps personnel Overview This course teaches participants the following skills: Plan and implement a well-architected logging and monitoring infrastructure Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs) Create effective monitoring dashboards and alerts Monitor, troubleshoot, and improve Google Cloud infrastructure Analyze and export Google Cloud audit logs Find production code defects, identify bottlenecks, and improve performance Optimize monitoring costs This course teaches you techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage. Introduction to Google Cloud Monitoring Tools Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler Avoiding Customer Pain Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation Measure customer pain with SLIs Define critical performance measures Create and use SLOs and SLAs Achieve developer and operation harmony with error budgets Alerting Policies Develop alerting strategies Define alerting policies Add notification channels Identify types of alerts and common uses for each Construct and alert on resource groups Manage alerting policies programmatically Monitoring Critical Systems Choose best practice monitoring project architectures Differentiate Cloud IAM roles for monitoring Use the default dashboards appropriately Build custom dashboards to show resource consumption and application load Define uptime checks to track aliveness and latency Configuring Google Cloud Services for Observability Integrate logging and monitoring agents into Compute Engine VMs and images Enable and utilize Kubernetes Monitoring Extend and clarify Kubernetes monitoring with Prometheus Expose custom metrics through code, and with the help of OpenCensus Advanced Logging and Analysis Identify and choose among resource tagging approaches Define log sinks (inclusion filters) and exclusion filters Create metrics based on logs Define custom metrics Link application errors to Logging using Error Reporting Export logs to BigQuery Monitoring Network Security and Audit Logs Collect and analyze VPC Flow logs and Firewall Rules logs Enable and monitor Packet Mirroring Explain the capabilities of Network Intelligence Center Use Admin Activity audit logs to track changes to the configuration or metadata of resources Use Data Access audit logs to track accesses or changes to user-provided resource data Use System Event audit logs to track GCP administrative actions Managing Incidents Define incident management roles and communication channels Mitigate incident impact Troubleshoot root causes Resolve incidents Document incidents in a post-mortem process Investigating Application Performance Issues Debug production code to correct code defects Trace latency through layers of service interaction to eliminate performance bottlenecks Profile and identify resource-intensive functions in an application Optimizing the Costs of Monitoring Analyze resource utilization cust for monitoring related components within Google Cloud Implement best practices for controlling the cost of monitoring within Google Cloud