2674 Learning courses in Liverpool delivered Live Online

Duration 1 Days 6 CPD hours This course is intended for This course is intended for new managers, especially those with direct reports, who are responsible for increasing employee motivation and job performance. This course will assist students in understanding and implementing strategies that will help to motivate their work force. 1 - Getting Started Workshop Objectives Pre-Assignment Review 2 - A Psychological Approach Herzberg?s Theory of Motivation Maslow?s Hierarchy of Needs The Two Models and Motivation Case Study Module Two: Review Questions 3 - Object-Oriented Theory The Carrot The Whip The Plant Case Study Module Three: Review Questions 4 - Using Reinforcement Theory A History of Reinforcement Theory Behavior Modification in Four Steps Appropriate Uses in the Workplace Case Study Module Four: Review Questions 5 - Using Expectancy Theory A History of Expectancy Theory Understanding the Three Factors Using the Three Factors to Motivate in the Workplace Case Study Module Five: Review Questions 6 - Personality's Role in Motivation Identifying Your Personality Type Identifying Others? Personality Type Motivators by Personality Type Case Study Module Six: Review Questions 7 - Setting Goals Goals and Motivation Setting SMART Goal Evaluating and Adapting Case Study Module Seven: Review Questions 8 - A Personal Toolbox Building Your Own Motivational Plan Encouraging Growth and Development Getting Others to See the Glass Half-Full Case Study Module Eight: Review Questions 9 - Motivation on the Job The Key Factors Creating a Motivational Organization Creating a Motivational Job Case Study Module Nine: Review Questions 10 - Addressing Specific Morale Issues Dealing with Individual Morale Problems Addressing Team Morale What to Do When the Whole Company is De-Motivated Case Study Module Ten: Review Questions 11 - Keeping Yourself Motivated Identifying Personal Motivators Maximizing Your Motivators Evaluating and Adapting Case Study Module Eleven: Review Questions 12 - Wrapping Up Words from the Wise Additional course details: Nexus Humans Employee Motivation 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 Employee Motivation 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 Level 4 course encourages individuals in digital and technical roles to enhance their skills by exploring different techniques, formats, and tools to communicate and understand the impact of their communication choices.

E-Learning courses are self study courses which students can join from anywhere in the world.

Leading People through Change: In-House Training Research shows that 70% of change initiatives fail in large organizations. The largest factor contributing to this failure rate is leadership - the inability to plan and lead people through change. In many change situations, tremendous focus is put on strategy, processes, and systems, while the issue of changing people's behavior is assumed it will 'just happen'. In this interactive course, you will learn why the people side of change is crucial. We will begin by understanding why and how people resist change, and how important it is to become strong and effective change champions. Next, we will focus on critical change management practices - creating our vision of the future state, planning for acceptance in our change audience and stakeholders, mitigating threats, and capitalizing on opportunities. We will use metrics to plan, show progress, and confirm success. Lastly, we will focus on the need to reinforce and sustain change, and to prevent relapse to old ways and methods. What you will Learn At the end of this program, you will be able to: Realize the nature of change and describe how resistance manifests in people Compare prevalent change models and categorize their similarities Identify and rate the skills, traits, and behaviors of effective change champions Envision the future state and assess stakeholders Plan for change communication, training, and risks Evaluate change effectiveness using feedback and metrics Develop reinforcement practices for benefits and communication Foundation Concepts What is Change? Resistance to Change Common Change Management Theories Becoming a Change Champion Plan Envisioning the future state Planning for people Change management plan Do Change communication Training Piloting Risks Study Feedback Metrics Variance analysis Act Benefits realization Change sustainment Reinforcement messaging and communications

CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

This is an online course sat at your own pace to introduce you to clinical coaching. During the course we will go into the concept of training a student, learning methods, tutorial techniques, safeguarding and how to use the Central Skills Log (CSL). The course is open for 2 months. Once completed we can then arrange access to the CSL for one of Abbeydale’s students.

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

Inspiring, interactive and unique 4-hour CPD certified Communication and Co-production training.

THIS COURSE PACKAGE INCLUDES: 1: PERIPHERAL I.V. CANNULATION - IV THERAPIES COURSE (GPT008) 2: VACCINATION / INJECTION COURSE (GPT601) Learn how to administer injectables and intravenous therapies ... FAST-TRACK YOUR AESTHETICS TRAINING WITH OUR COMPLETE TRAINING PACKAGE 20% Multi-Course Discount Cover all stages from Level 1 through to Level 4 (FDSc) Cover your theory training online Complete your advanced practical training in 1 day Practical training in Classroom or Virtual Classroom Comprehensive Practise@Home training kits for VC Awards 2 accredited qualifications Dual Accreditations for all courses Covers all steps required to safely perform injectables Covers all steps required to safely perform IV therapies Practise IV on artificial arm with fake blood Practise injection techniques on realistic injection pads Learn beginner to advanced skills and techniques Basic understanding of English language required OPEN TO ALL APPLICANTS