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Customer Service Essentials 1 Day Training in Edinburgh

Who is this gas engineer training course aimed at? This gas engineer course is aimed at beginners who would like to enter the gas industry and begin a career as a gas installer. It has been specifically designed for those with no previous experience or limited experience within the gas industry or who have relevant mechanical, engineering, or construction qualifications or experience. If you already have experience in a related trade (e.g., plumbing) our Managed Learning Programme for experienced trades may be a better fit for you. What is the managed learning programme? This is a package course that has been developed by Logic Certification Limited (LCL) and is recognised by the gas industry’s Standard Setting Body (SSB.) It is a route for new entrants to learn, develop and build a portfolio within the gas industry. Once this MLP is completed, candidates can then move on to the new entrant ACS assessment, allowing them to be on the Gas Safe Register

Description Register on the Essential Training on Deep Learning Heuristic using R today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Essential Training on Deep Learning Heuristic using R course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Section 01: Experimental Design - Heuristics Project 1-Agriculture Course Contents 00:08:00 Creating Dataframes 00:09:00 Generating Descriptive 00:11:00 Generating Descriptive Continued 00:10:00 Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies Setting Directory and Environment 00:11:00 Assigning Variables 00:09:00 Syntax and Command Part 1 00:09:00 Syntax and Command Part 2 00:10:00 Syntax and Command Part 3 00:07:00 Setting Directory and Environment-Cryptocurrencies 00:09:00 Spearman Techniques 00:08:00 Generating Line Graphs 00:09:00 Generating Scatter Plots 00:10:00 Generating Multiple Scatter Plots 00:10:00 Section 03: Experimental Design: Heuristics Project 3-Energy Sector Understanding Regression Modeling Theory 00:10:00 Implementing Linear Regression Modeling 00:10:00 Syntax and Commands 00:10:00 Generating Scatter Plots-Energy Sector 00:09:00 Multiple Scatter Plots 00:09:00 Section 04: Experimental Design: Heuristics Project 4-Financial Markets Creating Dataframes-Financial Markets 00:08:00 Understanding Multiple 00:09:00 Implementing Multiple Regression Model in R 00:10:00 Plot and Draw Line of Fit 00:10:00 Multiple Scatter Plots in a Graphical Frame 00:07:00 Resource Resource - Essential Training on Deep Learning Heuristic using R 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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Ever wondered how machines recognise faces, detect traffic signs, or even tag photos with uncanny accuracy? This course dives straight into the heart of Convolutional Neural Networks (CNNs) – the very engine behind image recognition and deep learning breakthroughs. With a clear focus on project-based learning, you’ll explore how CNNs work, how they’re built, and how they’re trained to see and interpret the world digitally. The content flows logically and stays rooted in clarity, making even the most complex architectures feel almost polite. This is not just a sequence of slides and jargon. It’s a well-structured digital journey tailored for learners who want to confidently grasp how deep learning models behave and evolve. Whether you're brushing up on your neural network knowledge or aiming to reinforce your AI expertise, the course serves up algorithms, code walkthroughs and layered insights with a tone that’s informative, direct, and occasionally dry-witted. If you fancy turning raw data into pixel-level predictions using nothing but code, logic, and neural layers — you’re exactly where you need to be. Learning Outcomes: Gain a solid understanding of convolutional neural networks and their applications in deep learning. Learn how to install the necessary packages and set up a dataset structure for deep learning projects. Discover how to create your own convolutional neural network model and layers using Python. Understand how to preprocess and augment data for advanced image recognition tasks. Learn how to evaluate the accuracy of your models and understand the different models available for deep learning projects. The Deep Learning Projects - Convolutional Neural Network course is designed to provide you with the skills and knowledge you need to build your own advanced deep learning projects. Using Python, you'll learn how to install the necessary packages, set up a dataset structure, and create your own convolutional neural network model and layers. You'll also learn how to preprocess and augment data to enhance the accuracy of your models and evaluate the performance of your models using data generators. Deep Learning Projects - Convolutional Neural Network Course Curriculum Section 01: Introduction Section 02: Installations Section 03: Getting Started Section 04: Accuracy 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? Data analysts who want to expand their skills in deep learning and convolutional neural networks. Programmers who want to learn how to build advanced models for image recognition. Entrepreneurs who want to develop their own deep learning-based applications for image recognition. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of convolutional neural networks and deep learning projects. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Computer Vision Engineer: £30,000 - £70,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 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.

Duration 2 Days 12 CPD hours This course is intended for Professionals desiring to develop meaning engagement strategies to better connect with leadership, peers, and clients. JOB ROLES: Personal Development Leader of Teams/Projects Leader of Managers/Departments Leader of Organizational Strategy Overview Develop better strategies in preparation and execution with audiences of all kinds Engage audience members more deeply and intently Optimize ability to prepare delivery, style, and transparency in sharing information Deliver your message with more clarity, purpose, and passion Create deeper meaning in who you are as a leader for others What?s the difference between good engagement and incredible engagement? How do you know when your audience, employees, or teammates are committed to everything you say and do? The answer is Authentic Engagement. When you notice amazing leaders, you will notice they possess all seven of these traits, regardless of whether they have been in the profession twenty years or twenty weeks. This course is the map toward shaping the next wave of leaders, regardless of style, audience, or modality! The question is: Are you ready to embark on your voyage? In this course, you will learn how to authentically engage others, build a more purposeful message that resonates, and learn the strategies to gain stronger engagement and input back from the people you work with. 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. 1. The CYA Model of Preparation Preparing Your Content Learning the 4-Square to Holistic Content Delivery Getting Ready for the Seven C?s for Engagement Preparing for Yourself and Audience 2. Preparing Yourself and The Power of Your Delivery Understanding the Power of Delivery and Style Learning when to be Transparent in your Approach Understanding How You Shine Remotely vs. Face-to-Face Understanding Your Command Knowing What and When to Change Your Approach Building Better Efficacy and Confidence 3. Capturing, Building, and Connecting with the People You Engage Learning the Differences between Surface-Level Engagement and Deeper Connection Understanding the Four Levels of Audience to Build Relationships Developing Captivation Techniques with Engagement Establishing Clarity through Depth and Alignment Connecting Deeper and Establishing Trust 4. Going Beyond for Completeness Looking to the Future of Engagement, Technology, and Leadership Plotting Your Next Course for Delivery Using the Anchor Guide to Renew Your Approach Mapping the Next Steps Additional course details: Nexus Humans Mastering Meaningful Engagement 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 Mastering Meaningful Engagement 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.

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