1780 AI courses in Liverpool delivered Live Online

Tailored to Occupational Health Nurses needs. Updating and any new immunisation advice. Discussion on Contraindications, side effects, vaccine ingredients, research etc. Very interactive discussions.

EMDR Refresher Workshop with Simon Proudlock and Ines Santos – EMDR Europe Accredited Trainers The aim of this workshop is to sharpen your skills, refresh your confidence & stay true to the model. Over time, even skilled practitioners can experience therapy drift. This workshop offers a structured and supportive space to revisit the standard protocol and re-ignite your clinical clarity. We'll explore common uncertainties (e.g. "Is BLS fast or slow in the installation phase?"—Answer: fast!), deepen understanding of each protocol phase, and reinforce model fidelity. Who is it for? ✔ EMDR therapists looking to refresh their knowledge and skills ✔ Practitioners who've had limited opportunities to use EMDR and want to build confidence ✔ Therapists working towards EMDR Accreditation (Practitioner or Consultant) seeking to strengthen their adherence to the model Content: Re-cap of the 8-phase protocol and rationale for each stage Updates on current research and developments in EMDR Refresher on the AIP model and its role in case formulation Therapeutic/Cognitive Interweaves Working with recent events Flashforward and Absorption Techniques Video examples from real clinical sessions Ample opportunity for supervised practice and feedback Key Learning Outcomes: To increase confidence in using EMDR with a range of clients To explore current blocks in using EMDR To increase confidence in using Cognitive Interweaves To learn additional techniques that may have not been covered in initial training For those who want the opportunity to practice, as an add-on to the workshop, we will be offering a 3-hour supervised practicum on Monday 8th December at 9am bookable at time of checkout as an add-on. There is also the option of free access to Practice EMDR, an innovative ‘Flight Simulator’ to practice with an AI avatar. Simon Proudlock is a Consultant Psychologist and Associate Fellow of the British Psychological Society working for the NHS and in private practice. He has spent the majority of his career working with complex clients. In 2018 he achieved the award for Innovative Practice by the Division of Counselling Psychology for his research in EMDR with people who are suicidal. He is author of 'The Solution Focused Way: Incorporating Solution Focused Therapy Tools and Techniques into Your Everyday Work'. Ines Santos is a Clinical Psychologist, specialist in trauma and complex trauma, with over 20 years of experience in the NHS, including working at the Traumatic Stress Service, Maudsley. Ines developed the EMDR Case Formulation Tool and has delivered several workshops on EMDR case formulation in treatment planning and target selection; as well as workshops on EMDR Advanced Techniques and EMDR Refresher workshops. Simon and Ines are EMDR Europe Accredited Trainers & Consultants. The workshop fee includes handouts, CPD certificates and access to the recording of the webinar for 45 days after the event for those who have attended in person only. EMDR UK Association - 6 CPD points PENDING

This Digital Electronics Course is designed to give practical knowledge of the type of electronic circuitry used in a modern Computer System or in any type of Computer Controlled equipment such as Photocopiers, Cash Registers, Tablets, mobile phones and many other types of IT equipment. Digital Electronics involves the use of Silicon chips (Integrated Circuits). The internal structure of a computer is to a large extent comprised of Digital Electronic Circuits.

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

The F Gas Regulations course will suit any person who requires the minimum legal requirement to work on air conditioning and refrigeration equipment including air conditioning and refrigeration engineers and technicians, all plant engineers, apprentices, personnel concerned with the recovery, charging or disposal of refrigerants and new comers into the industry. F Gas Regulations training courses are designed for both experienced air-conditioning and refrigeration engineers and also candidates who are looking to cross train and gain qualifications in the air conditioning / refrigeration sector. This F Gas Regulations qualification is to meet the legal requirements of EC Regulation 842/2006 (commonly known as the F Gas Regulation). The Certification Schemes are designed for operatives who install, service and repair refrigeration, air-conditioning and heat pump systems, and require the following skills: Safe handling of refrigerant techniques Pipework and Jointing skills Recovery of Refrigerants (restricted to small systems only) Intrusive and non-intrusive leak and performance checking Category 1 covers all aspects of installation, commissioning, servicing, maintenance, recovery and leak checking on all refrigeration, air-conditioning and heat pump systems in accordance with the F-Gas Regulation EC842/2006, regardless of the weight of refrigerant in the system. Course subjects are: Pressure test and discharge to BSEN378 Charge a blended refrigerant Evaluate system performance to ensure competence (using rule of thumb, temperature, refrigerant state and pressure) Leak test to EC1516/2007 Fabricate and fit brazed and mechanical joints Uphold F-Gas records and log books. Handle refrigerant safely and dispose of rightfully Pressure Regulation compliance All candidates will be able to ensure systems are tight, efficient in their use of energy and meet the F-Gas legal requirement.

A five day Refrigeration Electrics Maintenance course aimed at anyone involved with refrigeration, air conditioning and heat pump electrical control systems. The Refrigeration Electrics Maintenance course covers the three elements which are common to most refrigeration and air conditioning systems, namely, protection, control and motors. For example, a typical air conditioning split system will have protection provided by the fuse in the fused connection unit, and further protection provided to the cable feeding the fused connection unit, probably by a circuit breaker, control provided by thermostat and time clock etc… and motor driven fans and compressor. During the Refrigeration Electrics Maintenance course emphasis is also placed upon the applicable wiring regulations to ensure the constructed system is compliant with BS7671:2018 The aim of the Refrigeration Electrics Maintenance course is to provide enough knowledge to allow maintenance and fault finding to be safely and effectively carried out. The Refrigeration Electrics Maintenance course comprises of: Essential Electrics Module City and Guilds 2382-22 Level 3 – 18th Edition Wiring Regulations Refrigeration Electrics Module The Refrigeration Electrics Maintenance course costs include examination entry fees.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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 1.5 Days 9 CPD hours This course is intended for This course is intended for individuals who want to gain basic knowledge communicating, etiquette, professionalism and time management for the office environment. Overview Upon successful completion of this course, students will be able to communicate, be professional and manage their time effectively in a business environment. In this course, students will learn how to communicate, act and manage time effective in a business environment. Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives The Big Picture What is Communication? How Do We Communicate? Other Factors in Communication Understanding Communication Barriers An Overview of Common Barriers Language Barriers Cultural Barriers Differences in Time and Place Paraverbal Communication Skills The Power of Pitch The Truth about Tone The Strength of Speed Non-Verbal Communication Understanding the Mehrabian Study All About Body Language Interpreting Gestures Speaking like a Star S = Situation T = Task A = Action R = Result Summary Listening Skills Seven Ways to Listen Better Today Understanding Active Listening Sending Good Signals to Others Asking Good Questions Open Questions Closed Questions Probing Questions Appreciative Inquiry The Purpose of AI The Four Stages Examples and Case Studies Mastering the Art of Conversation Level One: Discussing General Topics Level Two: Sharing Ideas and Perspectives Level Three: Sharing Personal Experiences Our Top Networking Tips Advanced Communication Skills Understanding Precipitating Factors Establishing Common Ground Using ?I? Messages Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations Principles of Professional Behavior Always be Your Best Meeting and Greeting Sending Social Invitations to Business Associates Interview Etiquette Interviewing Before the Interview In the Waiting Room During the Interview After the Interview Job Fair Interviews Planning & Attending Business Meetings Office Meetings Meal Meetings Electronic Etiquette Voicemail Cell Phones Email Multiculture Etiquette Defining the Challenge Five Steps to Dealing with Diversity Guidelines for Managing Diverse Relationships Time Management Concepts Benefits of better time utilization Who controls your schedule? Your Job: What You Are Responsible for Accomplishing? Your job responsibilities Setting objectives Setting priorities How to Use Your Time Gathering data-the time log Analyzing the data Delegation: Working Through Others Why some people don't delegate Levels of delegation How to delegate Benefits of delegation Getting started Planning: Keys to Achievement Planning: Keys to Achievement Coping with Common Time Wasters Coping with self-generated time wasters Coping with environmental time wasters Personal Needs that Get in the Way of Effective Time Utilization Needs profile analysis Self-assessment questionnaire Applying needs assessment results Planning for Improvement Six tips for effective time management Planning for improved time utilization Follow-Up: Staying on Track Time savings progress report Time savings progress chart Time management progress survey Additional course details: Nexus Humans Business Soft Skills 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 Business Soft Skills 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.

The Refrigeration Electrics 1 day course is aimed at anyone involved with refrigeration, air conditioning & heat pumps electrical control systems The course covers the three elements which are common to most refrigeration and air conditioning systems: protection, control, and motors. A typical refrigeration system will have protection provided by the fuse in the fused connection unit, further protection provided to the cable feeding the fused unit – probably by a circuit breaker, control provided by thermostat/time clock, etc, motor driven fans, pump & compressor. The aim of the course is to provide enough knowledge to allow maintenance and fault finding to be carried out safely and effectively.