Enhance your dental practice's safety and compliance with our 3-hour CPD accredited Dental Practice Legionella Responsible Person Course. Designed for Practice Owners, Registered Managers, and Senior Infection Control Leads, this online course offers expert guidance on legionella management, aligning with HSE ACOP L8, HSG274 Part 2, HTM 04-01, and HTM01-05 standards. Gain advanced understanding and confidence in legionella prevention in dental settings. Receive a GDC-compliant CPD Certificate upon completion. Join our live sessions led by skilled instructors for a transformative learning experience in dental health and safety management.
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Personal Trainer: Personal Trainer Online Training A personal trainer is someone who develops and delivers safe and effective exercise programmes for seemingly healthy individuals and groups, as well as those who have medical clearance to exercise. They motivate clients by working together to set goals, providing meaningful feedback, and being a trustworthy source of accountability. Do you have an interest in the fitness trainer profession? Are you looking for the best Personal Trainer course certification in the industry? If this is the case, you should not be concerned. We are here to meet your needs. Our professionals created this course to provide you with advanced skills, knowledge, and confidence to help you build a long-term career in this field. This Personal Trainer course is ideal for those who are currently working or hoping to start a career in the trainer profession. This Personal Trainer course course is also appropriate for anyone with an interest in or desire to learn a variety of fundamental skills required to become a successful personal trainer. This course is a comprehensive, online course that will provide you with a complete understanding of the topic. Courses are included in this Personal Trainer: Personal Trainer Training Bundle Course Course 01: Personal Trainer Course 02: Level 5 Nutritional Therapy Course Course 03: Nutrition Course (Level 3 Certificate) Special Offers of this Personal Trainer: Personal Trainer Training Course This Personal Trainer Course includes 5 FREE PDF Certificate. Lifetime access to this Personal Trainer Course Instant access to this Personal Trainer Course Get FREE Tutor Support from Monday to Friday in this Personal Trainer Course [ Note: Free PDF certificate will provide as soon as completing the Personal Trainer: Personal Trainer Training course ] Personal Trainer: Personal Trainer Online Training Industry Experts Designed this Personal Trainer: Personal Trainer Training course into 15 detailed modules. Detailed course curriculum of Personal Trainer: Personal Trainer Course Module 01: Professionalism and Presentation Module 02: Planning a Personal Training Session Module 03: Delivering a Personal Training Session Module 04: Skeletal Articulations and Joint Movement Module 05: Injury Prevention Module 06: Muscular System Module 07: Energy Systems Module 08: Cardiorespiratory System Module 09: Nervous System Module 10: Hormonal Responses to Exercise Module 11: Health and Fitness Assessment Module 12: Psychological Aspects of Personal Training Module 13: Nutrition Module 14: Training Adaptations Module 15: Exercise Planning and Programming Assessment Method of Personal Trainer course After completing each module of the Personal Trainer: Personal Trainer Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification of Personal Trainer course After completing the MCQ/Assignment assessment for this Personal Trainer: Personal Trainer course, you will be entitled to a Certificate of Completion from Training Tale which is completely free to download. Who is this course for? Personal Trainer: Personal Trainer Online Training This Personal Trainercourse is designed for those who want to learn the skills needed to start a successful career in the fitness industry. Our Personal Trainer: Personal Trainer Training course is also suitable for anyone interested in learning the science of weight loss and developing the ideal workout routine to achieve their long-term fitness goals. Requirements Personal Trainer: Personal Trainer Online Training Students who intend to enrol in this Personal Trainer: Personal Trainer Training Course Training course must meet the following requirements: Personal Trainer: Good command of the English language Personal Trainer: Must be vivacious and self-driven Personal Trainer: Basic computer knowledge Personal Trainer: A minimum of 16 years of age is required Career path Personal Trainer: Personal Trainer Online Training After completing Personal Trainer: Personal Trainer Training course, you will have the necessary knowledge and skillset to start your training business.
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Learn to push boundaries and perfect paintwork like never before.Our One-day sanding course for automotive paintwork is for experienced, high-end detailers looking to add to their portfolio with the ultimate refinement, along with the option to pre-purchase a machine pack - including Flex ORE 3-150 sander, Interface pad and sanding film kit, at a fantastic low price in advance, for collection on the day. Our one-day sanding and flatting course for automotive paintwork is for experienced detailers looking to add to their portfolio with the ultimate refinement and correction technique to improve results, and productivity, and add a valuable and marketable service to their business. Sanding is a skill which can be used to perfect and rectify the harshest repairable damage and imperfect paintwork. Using a range of tools from electric and pneumatic sanders to specialist tools and compounds, you will work through the day to perfect a series of ever more challenging panels under the watchful eye of our instructors who are there to guide and demonstrate every step. wet sanding is a critically difficult skill which can bring high-yield finishes to a detailing portfolio and turn around the most challenging and rewarding of projects. Course fees cover all materials and lunch, with the day starting at 9.30 and running to around 4.30 pm. You also have the option to pre-purchase the Machine add-on pack - a Flex ORE 3-150 - at a fantastic low price in advance, for collection on the day. Because of the high demand and complexity of the skill, all attendees will need a working knowledge of machine polishers - both rotary and DA - and confidence in heavy correction to benefit from this course as it assumes a high level of competency prior to taking on the most challenging work in a detailers arsenal. Course Length 1 Day (0930-1600) Location UK Detailing Academy, 2 Purlieus Barn, Ewen, Cirencester, GL7 6BY Group Size One-to-One Experience / Qualification Competent with a machine polisher Refreshments or Lunch Refreshments included
Duration 4 Days 24 CPD hours This course is intended for Storage and virtual infrastructure consultants, solution architects, and administrators who are responsible for production support and administration of VMware vSAN 8.0. Overview By the end of the course, you should be able to meet the following objectives: Describe vSAN concepts Detail the underlying vSAN architecture and components Explain the key features and use cases for vSAN Identify requirements and planning considerations for vSAN clusters Explain the importance vSAN node hardware compatibility Describe the different vSAN deployment options Explain how to configure vSAN fault domains Detail how to define and create a VM storage policy Discuss the impact of vSAN storage policy changes Detail vSAN resilience and data availability Describe vSAN storage space efficiency Explain how vSAN encryption works Detail VMware HCI Mesh⢠technology and architecture Detail vSAN File Service architecture and configuration Describe how to setup a stretched and a two-node vSAN cluster Describe vSAN maintenance mode and data evacuation options Define the steps to shut down a vSAN cluster for maintenance Explain how to use proactive tests to check the integrity of a vSAN cluster Use VMware Skyline Health⢠for monitoring vSAN health Use VMware Skyline Health to investigate and help determine failure conditions Discuss vSAN troubleshooting best practices Describe vSAN Express Storage Architecture⢠concepts During this course, you will gain the knowledge, skills, and tools to plan and deploy a VMware vSAN? cluster. You will learn about managing and operating vSAN. This course focuses on building the required skills for common Day-2 vSAN administrator tasks such as vSAN node management, cluster maintenance, security operations, troubleshooting and advanced vSAN cluster operations. You will learn these skills through the completion of instructor-led activities and hands-on lab exercises. Course Introduction Introduction and course logistics Course objectives Introduction to vSAN Describe vSAN architecture Describe the vSAN software components: CLOM, DOM, LSOM, CMMDS, and RDT Identify vSAN objects and components Describe the advantages of object-based storage Describe the difference between All-Flash and Hybrid vSAN architecture Explain the key features and use cases for vSAN Discuss the vSAN integration and compatibility with other VMware technologies Planning a vSAN Cluster Identify requirements and planning considerations for vSAN clusters Apply vSAN cluster planning and deployment best practices Determine and plan for storage consumption by data growth and failure tolerance Design vSAN hosts for operational needs Identify vSAN networking features and requirements Describe ways of controlling traffic in a vSAN environment Recognize best practices for vSAN network configurations Deploying a vSAN Cluster Recognize the importance of hardware compatibility Ensure the compatibility of driver and firmware versioning Use tools to automate driver validation and installation Apply host hardware settings for optimum performance Use VMware vSphere© Lifecycle ManagerTM to perform upgrades Deploy and configure a vSAN Cluster using the Cluster QuickStart wizard Manually configure a vSAN Cluster using VMware vSphere© Client? Explain and configure vSAN fault domains Using VMware vSphere© High Availability with vSAN Understand vSAN Cluster maintenance capabilities Describe the difference between implicit and explicit fault domains Create explicit fault domains vSAN Storage Policies Describe a vSAN object Describe how objects are split into components Explain the purpose of witness components Explain how vSAN stores large objects View object and component placement on the vSAN datastore Explain how storage policies work with vSAN Define and create a virtual machine storage policy Apply and modify virtual machine storage policies Change virtual machine storage policies dynamically Identify virtual machine storage policy compliance status vSAN Resilience and Data Availability Describe and configure the Object Repair Timer advanced option Plan disk replacement in a vSAN cluster Plan maintenance tasks to avoid vSAN object failures Recognize the importance of managing snapshot utilization in a vSAN cluster Managing vSAN Storage Space Efficiency Discuss deduplication and compression techniques Understand deduplication and compression overhead Discuss compression only mode Configure erasure coding Configure swap object thin provisioning Discuss reclaiming storage space with SCSI UNMAP Configure TRIM/UNMAP vSAN Security Operations Identify differences between VM encryption and vSAN encryption Perform ongoing operations to maintain data security Describe the workflow of data-in transit encryption Identify the steps involved in replacing Key Management Server vSAN HCI Mesh Understand the purpose of vSAN HCI Mesh Detail vSAN HCI Mesh technology and architecture Perform mount and unmount of a remote datastore vSAN File Service and iSCSI Target Service Understand the purpose of vSAN File Services Detail vSAN File Services architecture Configure vSAN File Shares Describe vSAN iSCSI Target Service vSAN Stretched and Two Node Clusters Describe the architecture and uses case for stretched clusters Detail the deployment and replacement of a vSAN witness node Describe the architecture and uses case for two-node clusters Explain storage policies for vSAN stretched cluster vSAN Cluster Maintenance Perform typical vSAN maintenance operations Describe vSAN maintenance modes and data evacuation options Assess the impact on cluster objects of entering maintenance mode Determine the specific data actions required after exiting maintenance mode Define the steps to shut down and reboot hosts and vSAN clusters Use best practices for boot devices Replace vSAN nodes vSAN Cluster Monitoring Describe how the Customer Experience Improvement Program (CEIP) enables VMware to improve products and services Use VMware Skyline Health for monitoring vSAN cluster health Manage alerts, alarms, and notifications related to vSAN in VMware vSphere© Client? Create and configure custom alarms to trigger vSAN health issues Use IOInsight metrics for monitoring vSAN performance Use a vSAN proactive test to detect and diagnose cluster issues vSAN Troubleshooting Use a structured approach to solve configuration and operational problems Apply troubleshooting methodology to logically diagnose faults and optimize troubleshooting efficiency Use VMware Skyline Health to investigate and help determine failure conditions Explain which log files are useful for vSAN troubleshooting vSAN Express Storage Architecture Understand the purpose of vSAN Express Storage Architecture Describe the vSAN Express Storage Architecture components Identify Storage Policy differences Understand compression and encryption operation differences
Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies
This is a concise, clear, and practical course for learning modern web design, UI/UX design, and mobile app design using the Figma tool. There are various exercises to practice and learn navigating through the course; there are no hardcore prerequisites to join this course.
GitHub is one of the most important code hosting platforms. This hands-on course will help you to understand the concepts with real-world scenarios and use cases. This course will help you become a better developer. No prior coding experience is needed to take up this course, just dedication and commitment to learning.