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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 intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline 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 The Machine Learning Pipeline 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.

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

Duration 1 Days 6 CPD hours This course is intended for This course is designed for individuals who may need to present information effectively in a professional environment. Overview Define what makes a presentation effective. Plan presentations. Design a presentation framework. Develop the presentation body. Create supporting materials. Prepare for your presentation. Deliver presentations. Conduct a question-and-answer session. Deliver group presentations and virtual presentations. The ability to deliver presentations is vital to achieving advancement for yourself and for your ideas. Few skills in life will contribute to your success as much as presentation skills. Without a dynamic and coherent presentation, even stellar ideas can fail to convince your audience. In this course, you will learn to organize your ideas to create coherent and convincing oral presentations, while also utilizing available visual aids and using public-speaking techniques to strengthen your delivery. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. Prerequisites To ensure your success, you will need to have experience writing in a professional context and creating presentations using Microsoft Office PowerPoint. 1. Defining Presentation Effectiveness Identify Qualities of Effective Presentations Evaluate Yourself as a Presenter 2. Planning Presentations Analyze the Audience Establish Your Presentation\'s Objectives 3. Designing the Presentation Create the Presentation Structure Organize the Presentation Body Write the Conclusion First Write the Introduction 4. Developing the Presentation Body Select Evidence Write the Presentation Body Create Visuals 5. Creating Supporting Materials Create a Slide Deck Create Speaker Aids Create Audience Handouts 6. Preparing for Your Presentation Rehearse the Presentation Plan Event Logistics 7. Delivering Presentations Connect with Your Audience Present Powerfully Utilize a Slide Deck Effectively 8. Conducting a Question-and-Answer Session Answer Questions Handle Challenging Questions 9. Presenting in Common Business Scenarios Plan and Deliver a Virtual Presentation Plan and Deliver Group Presentations 10. Key Course Information This course focuses on the skills necessary to prepare and deliver an effective presentation; that being said, the learner will not be creating, delivering, or designing a specific presentation from start to finish in this course (this course only provides the foundational knowledge for doing this work back at the office). This course consists of instructor lecture along with course activities corresponding with the main course objectives. In terms of the course activities, 50% will be discussion based - 25% will be in a group-work format - and 25% will be hands-on/involve a digital tool, such as a PowerPoint or Word file. The intent is for students leaving this course to take the skills learned and apply them to their efforts of creating more effective presentations upon returning to the workplace. Additional course details: Nexus Humans Effective Presentations (Second Edition) 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 Effective Presentations (Second Edition) 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.

Course overview In the UK, more than 1500 people die in road accidents every year. To save these lives and prevent casualties safe driving is essential. Learn safe driving techniques from this Driver safety awareness training course and be able to save your life as well as others. This course will teach you the safety procedures you need to maintain while you are on a road or driving a vehicle. The easily understandable module of this Driver safety awareness training course will help you to memorize the regulation and safety procedures effortlessly. You will learn about the driving regulations, safety measures and laws that ensure road safety. This course will teach you how to understand signals and road marks, perform a pre-journey safety check and many other techniques to make your journey safer and more enjoyable. Learning outcomes Familiarize with the laws and regulations for safe driving Understand the signals and road marks Be able to perform a pre-safety check Learn about the UK regulations of driving Understand how you can drive in poor weather Be able to learn what to do while facing an accident or breakdown Familiarize with road safety laws and maintain them Who Is This Course For? Anyone interested in learning safe driving most efficiently can take this Driver safety awareness training course. The skills gained from this training will provide excellent opportunities for career advancement.  Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of English language, numeracy and ICT skills are required to take this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognized accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Career Path The Driver safety awareness training course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Driving Safety Professionals Drivers Driving Assistants Driving Instructors Mechanics Automobile Maintenance Officers Driver safety awareness training Introduction to Safe Driving 00:15:00 Reading the Signals and Marks on the Road 00:23:00 Pre-Journey Safety Check (Vehicle and Driver) 00:21:00 Safe Driving Tactics for Driving in the UK 00:13:00 Driving in Poor Condition 00:17:00 Driving and Human Health 00:18:00 In the Events of Accidents and Breakdowns 00:19:00 Laws and Policies Involving Road Safety 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Discover the fundamentals of Basic Bookkeeping: From essential principles to practical techniques, learn how to manage finances effectively. Explore key concepts, tools, and strategies for maintaining accurate records and fostering financial stability in your business or personal finances.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Become an expert in DIY and transform your gloomy, neglected basement into a sleek and stylish living space with the Basement Improvement & Renovation Course. This instructor-led course is a complete introduction to basement remodelling and includes expert audio-visual material to develop your practical skills for everyday DIY projects. You will learn the basics of electrical and plumbing installation, how to make the most of natural lighting, repair walls, control mould and much more. This course also provides step-by-step guidance on waterproofing your basement and installing adequate heating and air conditioning. You will also be trained on the fundamentals of basement repair and maintenance to ensure a healthy and safe living space. On completion, you will be equipped with the knowledge and skills to plan your transformation project and utilise your space to create a beautiful sanctuary that everyone can enjoy. Your Learning Goals: Save money and do it yourself - the faster and more affordable way! Develop the practical skills to transform your basement into a stylish and useful living space Get handy tips and tricks from the experts in home DIY Understand the basics of plumbing and electrical installation Learn how to control moisture levels, temperature and lighting quality Familiarise with tools of the trade required for everyday DIY projects Discover everything you need to know about subfloors, partition walls and basement ceilings Be able to repair beams and walls, seal cracks, and ensure adequate insulation Who is this Course for? Basement Improvement & Renovation is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Week#1: Intro & Assessment Week#1: Intro & Assessment 00:05:00 Week#1 - Lesson#1 : The Benefits & Challenges of Finishing a Basement 00:15:00 Week#1 - Lesson#2: Assessing Your Basement Space 00:00:00 Week#1 - Lesson#3: Do-It-Yourself, Contractor or Both? 00:00:00 Week#2: Basement Finishing Options Week#2: Lesson#1 : Anatomy of a Basement 00:30:00 Week#2 - Lesson#2: Basement Finishing Best Practices 02:00:00 Week#3: Moisture-proofing, Electricity, Plumbing & Tearing Out An Old Basement Week#3 - Lesson#1: Moisture-Proofing Strategies 00:20:00 Week#3 - Lesson#2: Power, Lighting & Plumbing Best Practices 00:40:00 Week#3 - Lesson#3: Tearing Out an Old Basement Best Practices 00:20:00 Week#4: Basement Planning and Layout Week#4: Lesson#1 : Understanding Layout Options 00:15:00 Week#4 - Lesson#2: Experience your layout in full size 00:15:00 Week#5: Special Basement Features Week#5 - Lesson#1: Basement Bathrooms, Saunas & Steam Rooms 00:30:00 Week#5 - Lesson#2: Building a Second Suite 00:05:00 Week#5 - Lesson#3: How to Create a Basement Kitchen 00:10:00 Week#5 - Lesson#4: Basement Cold Rooms & Cellars 00:30:00 Week#5 - Lesson#5: Bring Outdoor Light Into Your Basement 00:10:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

This Laboratory Expert Diploma course is the perfect stepping stone for anyone looking to become a Laboratory Technician

Powerful presentation skills are crucial since it can determine whether you are better than your competition or not. Master the art of presentation with our expertly designed course, and learn the ideas to manifest your presentations that get better and better with time. By enrolling in the Mastering the Art of Presentation course, you will learn what it takes to develop your presentation skill and steal the show. Learn the qualities of an enthusiastic presenter, to present your message with more confidence and grasp the major principles and techniques of presentations. This course will also benefit if you want to fast track your career, put forward your speech in an elegant style every time and deliver compelling presentations to get promotions. Who is this course for? Mastering the Art of Presentation is suitable for anyone who want to gain extensive knowledge, potential experience, and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Mastering the Art of Presentation is open to all from all academic backgrounds and there is no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Getting Started Welcome and Getting to Know Your Instructor FREE 00:03:00 What will you learn? 00:03:00 Who is this Course For? 00:03:00 Prepare Your Presentation Step 1 - Preparation 00:03:00 Step 2 - Get to Know Your Audience 00:03:00 Step 3 - Set Your Objectives 00:03:00 Step 4 - Consider Your Approach 00:03:00 Step 5 - Make a Presentation Plan 00:02:00 Step 6 - Presentation Strategies & Techniques - Giving People a Rea 00:03:00 Step 6 - Presentation Skills 00:04:00 Step 6 - Effective Communication 00:03:00 Step 6 - Verbal Communication 00:06:00 Step 6 - Motivational Language 00:02:00 Step 6 - Non Verbal Communication 00:08:00 Step 6 - Telling Stories 00:01:00 Step 6 - Memorable Content 00:03:00 Step 6 - RER Method 00:01:00 Step 6 - Using Case Studies 00:02:00 Step 6 - Calming the Nerves 00:04:00 Step 7 - Prepare Your Materials 00:10:00 Step 8 - Practice 00:02:00 Step 9 - Evaluation 00:03:00 Step 10 - Presentation Day 00:03:00 Contingencies 00:03:00 The Final Word Guest Interview 00:04:00 Wrap Up 00:02:00 Workbook Workbook - Mastering the Art of Presentation 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00