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Yin Yoga will fast-track flexibility. Breathe and meditate to help cope with a stressful life. Holding passive yoga poses for several minutes to stretch deep tissue and gain flexibility. Yin yoga classes are suitable for all levels.

Power Flow Yoga, is a strong yoga classes to build strength and realign the body. You are likely to get hot & sweaty. Become fit, strong and feel great about yourself. Power flow yoga classes are suitable for all levels with options for strong beginners.

A slower simpler class for those that want to mobilise their body or release aches & pains. Calm the mind and take a break from a stressful life. Gentle yoga classes are suitable for all levels. Ideal for beginners.

Duration 3 Days 18 CPD hours This course is intended for Participants are any IT specialist eager to become an industry recognized expert on Veeam software solutions:System Engineer / Administrator Backup / Virtualization Administrators Pre-Sales / Post-Sales / Solution Architects / Consultants Overview This certification is an excellent investment for an IT professional looking to increase productivity, reduce operating costs, increase potential for personal career advancement and gain recognition from the employer and customers. By completing the Veeam Certified Engineer (VMCE) course you should be able to:Get more functionality out of Veeam solutionsIdentify and resolve issues more efficientlyGain a distinction from your peers The Veeam Certified Engineer (VMCE) course is a 3 day technical deep-dive focused on teaching consultants and engineers to architect, implement, optimize and troubleshoot the Veeam software solution. Introduction Introduction Overview of Veeam products Hypervisor Support Veeam Backup & Replication key features Veeam One key features Veeam Management Pack vCloud Director Support Key concepts Backup Methods Scheduling Changed Block Tracking (CBT) Compression and Deduplication Retention Policy Veeam ONE features and functionality Auto Discovery of Backup and Virtual Infrastructure Business Categorization Pre-Defined Alerting Unattended monitoring Reporting and dashboards Agentless data gathering Hyper-V specific features Veeam One Deployment Veeam One assessment Tool Deployment Solution Architecture Deployment Scenarios Prerequisites Upgrading Veeam Backup & Replication Initial Configuration Adding Servers Adding a VMware Backup Proxy Adding a Hyper-V Offhost Backup Proxy Adding Backup Repositories Performing Configuration Backup and Restore Getting to Know User Interface Performing Backup Creating Backup Jobs Creating VM Copy Jobs Instant VM Recovery Replication (Replication Job, Failover, Failback) Insight into Replication Insight into Failover Insight into Failback SureBackup, SureReplica SureBackup Recovery Verification SureReplica Restore your VMs and Objects Data Recovery Restoring Microsoft Exchange and SharePoint objects Working with Veeam Backup & Replication Utilities 3-2-1 rule (Backup to tape, WAN, Backup Copy) Wan Accelerator Offsite Backup Copy Job Delegate file and VM restores with Veeam Backup Enterprise Manager Veeam Backup Enterprise Manager RESTful API HP StoreVirtual VSA Product Editions Product Editions Comparison Full and Free Troubleshooting How to review and analyze the issue Search for additional information Veeam Support Additional course details: Nexus Humans Veeam Certified Engineer (VMCE) 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 Veeam Certified Engineer (VMCE) 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 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.

5 x 30 Minutes of Private Yoga Tuition for yoga newbies. Learn the foundational poses, breathing exerceses and meditation at your own pace

Duration 1 Days 6 CPD hours This course is intended for Learners who will find this course applicable to their work include: Solutions architects Cloud practitioners Data engineers Data scientists Developers Overview In this course, you will explore: Workload definition and key concepts The AWS Well-Architected Framework Review phases, process, best practices, and antipatterns High and medium risks Prioritizing improvements to the AWS Well-Architected workflow Locating and using the AWS Well-Architected Framework white paper, labs, prebuilt solutions in the AWS solutions library, AWS Well-Architected independent software vendors (ISVs), and AWS Well-Architected Partner Program (WAPP) This interactive course provides a deep dive into Amazon Web Services (AWS) best practices to help you perform effective and efficient AWS Well-Architected Framework Reviews. The course covers the phases of a review, including how to prepare, run, and get guidance after a review has been performed. Attendees should have familiarity with the AWS concepts, terminology, services, and tools that are covered in the intermediate, 200-levelAWS Well-Architected Best Practices.This course provides an AWS Well-Architected Framework Review simulation and instructor-led group exercises and discussions regarding prioritizing and solutioning risks. The content focuses on teaching learners how to prepare proposals on high and medium risk issues using the AWS Well-Architected Tool. Module 1: AWS Well-Architected Framework Reviews Workload definition Key concepts of a workload AWS Well-Architected Review phases AWS Well-Architected Review approach, lessons learned, and use case AWS Well-Architected Review best practices AWS Well-Architected Review anti-patterns Module 2: Customer Scenario Group Sessions Demonstration of a Review question and answer example Operational excellence Group role-play exercise Two questions in this pillar Security Group role-play exercise Three questions in this pillar Reliability Group role-play exercise Three questions in this pillar Performance efficiency Group role-play exercise Three questions in this pillar Cost optimization Group role-play exercise Three questions in this pillar Module 3: Risk Solutions and Priorities AWS Well-Architected workflow Defining and solutioning high risk issues (HRIs) and medium risk issues (MRIs) Identifying significant risks and solutioning group discussion for: Operational excellence Security Reliability Performance efficiency Cost optimization Prioritizing improvements Module 4: Resources Resource pages AWS Well-Architected ISVs Module 5: Course Summary Objective recap Debrief What?s next? Additional course details: Nexus Humans Advanced AWS Well-Architected Best Practices 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 Advanced AWS Well-Architected Best Practices 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.

This General English tutoring course is designed for adult learners who want to improve their overall English language proficiency. Participants will focus on developing their speaking, listening, reading, and writing skills in a variety of everyday contexts. Through interactive activities, discussions, and authentic materials, learners will gain confidence and fluency in using English for both social and practical purposes. Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate confidently and effectively in English in various everyday situations. 2. Expand vocabulary and improve language accuracy. 3. Develop listening skills to understand different accents and speech patterns. 4. Enhance reading comprehension skills for various types of texts. 5. Write accurately and coherently for different purposes. Course Outline: Week 1: Introduction to General English - Introduction to course objectives, expectations, and methodology - Assessment of participants' current language proficiency and individual learning goals - Overview of key language skills and areas of focus Week 2: Speaking and Conversation Skills - Developing oral communication skills for everyday conversations - Role-plays and discussions on common topics and situations - Enhancing fluency, pronunciation, and vocabulary in spoken English Week 3: Vocabulary Expansion - Expanding general vocabulary and idiomatic expressions - Exercises and activities to reinforce and practice new words and phrases - Incorporating vocabulary into oral and written communication Week 4: Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures - Identification and correction of common errors in speaking and writing - Exercises and activities to improve language accuracy Week 5: Listening and Comprehension Skills - Developing listening skills to understand different accents and speech patterns - Authentic listening materials such as dialogues, podcasts, and videos - Strategies for understanding main ideas, details, and specific information Week 6: Reading and Comprehension Skills - Developing reading skills for different types of texts (articles, short stories, etc.) - Strategies for skimming, scanning, and understanding written information - Identifying main ideas, supporting details, and inferring meaning from context Week 7: Writing Skills: Emails and Messages - Improving writing skills for everyday correspondence (emails, messages, etc.) - Practice exercises for clarity, coherence, and appropriate tone - Polishing grammar, vocabulary, and sentence structure in written communication Week 8: Writing Skills: Informal and Formal Writing - Developing writing skills for informal and formal purposes (letters, essays, etc.) - Techniques for organising ideas, supporting arguments, and expressing opinions - Practice exercises for clarity, coherence, and appropriate style in written communication Week 9: Pronunciation and Intonation - Developing clear and accurate pronunciation skills - Focus on individual sounds, stress, rhythm, and intonation patterns - Practice exercises and activities for improved spoken English Week 10: Everyday Practical English - Enhancing language skills for everyday practical situations (shopping, dining, etc.) - Role-plays and interactive exercises for real-life communication - Polishing conversational skills, expressions, and cultural understanding Week 11: Cultural Understanding and Communication - Understanding cultural nuances in English-speaking countries - Developing intercultural communication skills for effective interactions - Practising respectful and inclusive language in diverse environments Week 12: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills - Final evaluation and feedback session Note: This syllabus is a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include additional topics or activities to cater to learners' specific goals or areas of interest.

Course Overview The British Sign Language (BSL) Level 1 & 2 course offers a comprehensive foundation for learners keen to develop effective communication skills within the Deaf community. This course covers key vocabulary, everyday conversations, and cultural understanding across two recognised qualification levels. Through engaging modules, learners will build confidence in signing across a range of topics including greetings, family, transport, work, health, and leisure activities. The course provides a flexible learning experience, enabling learners to study at their own pace while gradually advancing from basic to more complex sign language structures. By the end of the course, learners will be able to confidently engage in conversations, describe people, express opinions, and interpret dialogues with greater fluency. Whether for personal growth, professional development, or community involvement, this course equips learners with the communication tools needed to create more inclusive and supportive environments for Deaf individuals. Course Description The British Sign Language (BSL) Level 1 & 2 course is structured to guide learners through a progressive journey, starting with the alphabet, fingerspelling, and simple daily interactions, before advancing to complex dialogues and storytelling. Key topics include family life, the home environment, weather, transport, work, hobbies, shopping, health, and holidays. Learners will engage with a variety of video dialogues—both with and without voice-over and subtitles—designed to enhance visual communication skills and comprehension. This learning experience not only builds practical sign language ability but also deepens understanding of Deaf culture, encouraging effective and respectful communication. With a focus on clarity, repetition, and gradual development, learners will acquire the skills needed to hold structured conversations, ask and respond to questions, and share detailed personal or professional information in BSL. The course aims to support learners in becoming confident and culturally aware communicators across different social and professional contexts. Course Modules Module 01: British Sign Language (BSL) Level 1 Online Course Module 02: Alphabet Fingerspelling and Names Practice Module 03: Greetings Module 04: Family, Question Forms and Family Story Module 05: Rooms in the House Vocabulary Module 06: Colours Module 07: Questions and Statements about the Home Module 08: Animals Module 09: Numbers and Money Module 10: Time and Months of the Year Module 11: Describing Ages Module 12: Weather Module 13: Transport Module 14: Directions Module 15: Hobbies Module 16: Work Module 17: Food and Drink Module 18: Dialogues (No Voice, No Subtitles) Module 19: Dialogues (With Voice and Subtitles) Module 20: Bonus: 5 Stories (With Voice and Subtitles) Module 21: Bonus: 5 Stories (No Voice Over) Module 22: Level 2 British Sign Language Module 23: Family Vocabulary Module 24: Describing People and Animals Module 25: Activities at School Module 26: Jobs and Activities at Work Module 27: Time Module 28: Activities in the Home Module 29: Leisure Activities Module 30: Opinions, Likes and Dislikes Module 31: Illnesses and Health Module 32: Eating and Drinking Module 33: Shopping and Spending Module 34: Travel and Holidays Module 35: Level 2 Dialogues (Without Voice and Subtitles) Module 36: Level 2 Dialogues (With Voice Over and Subtitles) Module 37: 5 Stories (No Voice Over and No Subtitles) Module 38: 5 Stories (With Voice Over and Subtitles) Module 39: Level 2 BSL Dialogues and Stories (See full curriculum) Who is this course for? Individuals seeking to communicate confidently with the Deaf community. Professionals aiming to enhance communication skills in inclusive workplaces. Beginners with an interest in sign language and Deaf culture. Teachers, healthcare workers, and public service providers. Parents, family members, or friends of Deaf individuals. Career Path BSL Interpreter (after further study and qualifications) Communication Support Worker Deaf Support Assistant Special Educational Needs (SEN) Teaching Assistant Community Support Worker Customer Service Advisor in accessible services Healthcare and Social Care Assistant Voluntary roles supporting Deaf organisations

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