159 Driving courses in Wideopen delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

DG Awareness & Highway Code Course Details: Course Overview Time: 8:00 AM - 16:00 PM (Registration starts at 7:30 AM) Location: Online Price: £50 This comprehensive one-day course provides essential training in two critical areas: Dangerous Goods (DG) awareness and the Highway Code. DG Awareness: Understand the different hazard classes and types of dangerous goods. Learn about the legal requirements for transporting and storing DG. Discover the essential safety protocols for handling hazardous materials. Identify and assess potential risks associated with DG. Apply best practices for documentation and labeling. Highway Code: Course introduction, objectives, and expectations. Introduction to the Highway Code and its relevance. Types of road users and training for various groups. Respecting and understanding the risks to different road user categories. Confirmation of knowledge quizzes covering all aspects of the Highway Code and traffic regulations. Key Course Benefits: Meet Driver CPC requirements for periodic training Enhance your understanding of dangerous goods transportation Improve your knowledge of the Highway Code Learn how to respond to accidents, incidents, and breakdowns Boost your overall road safety awareness Don't miss this opportunity to enhance your knowledge and skills in DG Awareness & Highway Code. Register now for £50 and secure your spot!

What do engineers and project managers need to know of finance? 'Nothing - leave it to the accountants!' No, no, no! Engineers must be conversant with the terminology and statements that accountants use. Technical expertise in projects, service delivery, production or other areas can only really be harnessed if the managers understand the accounting and reporting that drives businesses. This course gives the necessary understanding to project, production and technical managers. It develops their skills in understanding financial and management accounting. Accountants may not always like it but a major part of their work is to be the 'servants of business' and to gather, compile and present your figures. So you must understand the figures - they belong to you, your processes or projects. There are many reasons for maintaining accurate accounts. This course focuses on the strategic issues (those over-used words) - what figures reveal about the drivers of business and what they reveal about the day-to-day issues that accountants bother you with. The course will enhance your understanding of finance and of the accounting issues which affect your projects, production and technical areas of business. This course will help you: Understand the business world in figures - make sense of what the accountants are telling you Appreciate what drives business - and how this affects your role in your part of the business Relate your activities to the success of the business - through figures Gain the skills to advance in management - financial awareness is a 'must have' if you are to progress in your career 1 What do accountants do? The finance function, types of accountant, financial v management accounting and the treasury function Understanding the role of the finance function and how the information you provide may be used 2 The basic financial statements Balance sheets and income statements (P&L accounts) What they are, what they contain and above all what they can reveal - how to read them The accounting process - from transactions to financial statements What underpins the statements - accounting systems and internal controls 3 Why be in business - from a financial perspective The driving forces behind financial information Performance measures - profitability, asset utilisation, sales and throughput, managing capital expenditure 4 Accounting rules - accounting standards Accounting concepts and the accounting rules: accruals, 'going concern' - substance over form and other 'desirable qualities' Accruals - why the timing of a transaction is so important to the finance function Depreciation and amortisation - the concepts and practice Accounting standards - the role of International Financial Reporting Standards 5 Cash The importance of cash flow - working capital management Cash flow statements - monitoring overall cash flows Raising cash - levels of borrowing, gearing Spending cash - an outline of capital expenditure appraisal 6 Budgeting Why budget? - good and bad practice Determining why budgets play a key role and should not be simply an annual ritual Justifying your budgets - the link between the strategic plan and day-to-day budgeting - alignment of company culture Budgets as motivators - the importance of the right culture Techniques to improve budgeting - whether day-to-day or capital budgeting 7 Costing The type and detail of costing very much depends on your business - eg, manufacturing piston rings is quite different from the construction of a power plant Issues with overhead allocation Accounting for R&D 8 Reading financial statements Annual financial statements - why they are produced, what's in them and what you should look for Learning what a set of accounts reveals about a company's current situation, profitability and future prospects 9 Performance measurement - analytical reviews and ratio analysis ROI/ROCE Profitability, margins and cost control Sales - asset turnover Efficiency (asset / stock turnover, debtor / creditor days) 'City' measures Investment (interest / dividend cover, earnings per share, dividend yield)

A day of Data Governance, support, networking, and answering your questions. Join me for my 1 Day Data Governance Mastermind where you get allocated time to get specific advice on your current Data Governance challenges and get the chance to network with others in similar situations.

Our online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT.

Our 2023 online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT. £69.95 including VAT and DVSA upload fees of £8.75 per day.

Our 2023 online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT. £69.95 including VAT and DVSA upload fees of £8.75 per day.

Our 2023 online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT. £69.95 including VAT and DVSA upload fees of £8.75 per day.

Duration 1.875 Days 11.25 CPD hours This course is intended for The job roles best suited to the material in this course are: team leaders, project managers, managers of scrum teams, teams transitioning to scrum, professionals intending to pursue the scrum master certification. Overview How to use the Scrum Framework to deliver products and services faster and with higher quality. How to leverage lean principles to identify waste in a system, process, or organization. Techniques and metics Scrum Masters use to improve. team happiness and performance. The patterns and practices of high-performing teams. How the Scrum Master role scales in an Agile implementation. This course is an adaptive, repeatable process that equips individuals and organizations in how to thrive in a world where change is the only constant. From Fortune 100 companies (Google, Amazon, Apple, etc) to nonprofits. Scrum has a proven record of reducing burnout, doubling throughput in half the time, and increase employee happiness. Core Scrum The Scrum Framework The Origins of Scrum (Optional) The Scrum Team Developers Scrum Master Leadership/Management Scrum Events The Sprint Product Backlog Re1nement Estimation Sprint Planning Sprint Review Sprint Retrospective Daily Scrum Scrum Artifacts Lean Principles Describe a Kaizen mindset and explain how small, iterative changes can lead to revolutionary leaps. Describe the three pillars of Scrum ? Transparency, Inspection, and Adaptation,? which implement the work of Ogunnaike and Ray. Explain the importance of reducing and eliminating waste in the system. Perform a root-cause analysis (e.g., using the ?5 Whys? technique). Assess the Process EZciency of their Scrum Team and recall that the de1nition of Lean is a Process EZciency of 25% or higher. Explain how the work of Takeuchi and Nonaka on Lean and the Toyota Production System paved the way for Scrum. Describe the origins of the name ?Scrum? from Takeuchi and Nonaka?s ?New New Product Development Game. Recognize that a Lean mindset suggests that you address a defect immediately after it is identi1ed as opposed to a mindset where defects are stored to be 1xed later. Agile Manifesto Recognize the four values of the Agile Manifesto and their signi1cance in the context of complex adaptive systems. Identify the 12 principles of the Agile Manifesto and describe their function in guiding practices that support teams in implementing and executing with agility. Explain that Scrum is one of the driving forces that gave rise to the Agile movement and predates the Agile Manifesto. Explain why the majority of ?Agile? teams are late, over-budget, and with unhappy customers (i.e., not agile) and explain what needs to be done to 1x that. Patterns of High Performing Teams Yesterday?s Weather Happiness Metric Teams that Finish Early Accelerate Faster Stable Teams Swarming Interrupt Buffer Good Housekeeping (formerly Daily Clean Code) Scrum Emergency Procedure Scrum@Scale Descaling Scaling the Scrum Master Registered Scrum Master Credential Access and complete the Registered Scrum Master by Scrum Inc. exam. Download their Registered Scrum Master Credential (upon successful completion of the exam). Be Recognized in the International Registry of Agile ProfesstionalsTM State the renewal process. Additional course details: Nexus Humans Agile Scrum 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 Agile Scrum 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.