831 Courses delivered Live Online

Course Overview: This Personal Productivity Course is designed to equip learners with the essential skills and techniques to enhance their productivity, both personally and professionally. Covering key principles of time management, goal setting, and focus, the course provides valuable strategies to help individuals manage their tasks more efficiently, reduce distractions, and achieve their goals effectively. Learners will gain a deeper understanding of how to prioritise, manage workloads, and stay motivated, all while cultivating a mindset for continuous improvement. Upon completion, learners will be able to apply these skills to increase productivity and performance in various aspects of life and work. Course Description: The Personal Productivity Course delves into essential topics such as setting achievable goals, mastering prioritisation, eliminating distractions, and fostering self-motivation. Learners will explore strategies to optimise their time management, cultivate focus, and develop a systematic approach to tackling tasks. With practical insights, the course will guide individuals in overcoming procrastination, managing stress, and ensuring long-term success. The course is suitable for beginners and professionals alike, providing the foundation for enhanced productivity and a more balanced, goal-oriented life. By the end of the course, learners will have the skills to effectively plan, execute, and measure their productivity in both personal and professional settings. Course Modules: • Module 01: Introduction • Module 02: Core Principles of Focus & Productivity (See full curriculum) Who is this course for? Individuals seeking to improve their personal productivity. Professionals aiming to enhance career development through better time management. Beginners with an interest in learning productivity techniques for professional or personal growth. Anyone looking to optimise their focus, organisation, and performance. Career Path: Personal Assistant Project Manager Executive Assistant Operations Manager Team Leader Entrepreneur Administrative Coordinator Freelance Consultant

This session is a quick fire session into designing your vision and aligning your life. 90 minutes dedicated to your own development to ignite your reticular activator into setting yourself up for success in 2024.

A webinar in which we explore the true cost of pointless stress and worry on our health, our happiness and our time and present the possibility of a future with more balance, more joy and better outcomes.

https://www.patreon.com/moonhealinganddivination/membership

This course has a simple objective: to help gain appointments with potential clients. In most consultative selling situations clients won't commit to purchases over the telephone. This means setting up a meeting to discuss the options with them face-to-face. But getting 'face time' can be tricky. This practical workshop can help. Participants will acquire essential tools, skills and methods; discuss specific organisational issues; and identify areas for improvement. They will discover how to: Increase their effectiveness through proper preparation Construct attention-grabbing opening statements Help potential clients feel comfortable agreeing to a meeting Develop tactics for responding to difficult excuses and objections Stress the benefits of a face-to-face consultation Develop and enhance their questioning and listening skills Prevent customers cancelling booked appointments 1 Introduction to appointment setting Key trends that have changed the way people buy today - and will buy tomorrow Why many sales people avoid picking up the phone The difference that makes a difference - what makes a good appointment-maker? 2 Before you pick up the telephone It all starts with a plan... Who and what to focus our attention How much research should we undertake and why? Setting primary and secondary objectives 3 Making your approach Key considerations Every call is an opportunity - creating a positive mind-set Using a structured approach Using partnership language 4 Gaining an insight into the customer's needs How to quickly 'tune in' to your customers, so that you can serve them more easily Developing speech patterns that put customers at their ease Using effective questioning and listening skills Finding and building pain points 5 Dealing with excuses and objections Pre-empting potential excuses Developing techniques for responding to client objections Keeping the door open for future contact 6 Securing the appointment Selling the benefits of a consultancy meeting Techniques for avoiding cancelled appointments Gaining commitment 7 Action plans Course summary and presentation of action plans

Are you suffering from back pain? Has your doctor suggested you join a yoga class? If so, these masterclasses are for you. Our increasingly sedentary lives have contributed greatly to the back pain epidemic spreading across the Western world, which affects 8 out of 10 of us at some point during our lives. Join us for this series of classes to improve your understanding of your anatomy and make lasting improvements to your posture and movement, changing your experience of movement on the yoga mat and in everyday life.

The Level 7 qualifications in Strategic Management and Leadership Practice are designed for directors and senior managers who have the authority and personal inspiration to translate organisational strategy into effective performance. These qualifications require directors and senior managers to build on their skills in strategic management and leadership and to focus on the requirements of inter-organisational strategy.

A webinar about the simple stuff and how it can help get you through when everything else feels too tough.

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

How to Boost Your Brain Course Overview: This course, "How to Boost Your Brain," is designed to help individuals enhance their cognitive abilities and overall brain function. It covers key strategies and techniques for improving memory, focus, and mental clarity. The course incorporates evidence-based methods drawn from neuroscience, psychology, and personal development. Learners will explore brain-boosting activities, nutrition, mindfulness practices, and mental exercises that contribute to cognitive well-being. Upon completion, students will have a comprehensive understanding of how to improve brain health, sharpen mental performance, and sustain cognitive vitality. Course Description: "How to Boost Your Brain" provides a deep dive into the science of cognitive enhancement. Topics include brain anatomy, the role of neuroplasticity, and the impact of lifestyle choices such as nutrition and sleep on brain function. Learners will also explore various cognitive techniques, including memory strategies, focus exercises, and mindfulness practices designed to reduce stress and improve mental clarity. The course is structured to help learners understand how the brain works and how to nurture its growth for improved mental performance, creativity, and focus. By the end of the course, participants will have acquired a set of tools to enhance their cognitive abilities for personal and professional development. How to Boost Your Brain Curriculum: Module 01: Introduction to Brain Health Module 02: Understanding Neuroplasticity Module 03: Nutrition for Cognitive Enhancement Module 04: Sleep and Its Role in Brain Function Module 05: Memory Improvement Techniques Module 06: Mindfulness and Stress Reduction Module 07: Cognitive Exercises and Games Module 08: Boosting Creativity and Problem-Solving Module 09: Maintaining Brain Health Long-Term (See full curriculum) Who is this course for? Individuals seeking to improve their cognitive performance. Professionals aiming to enhance focus and mental clarity. Beginners with an interest in neuroscience and brain health. Anyone interested in maintaining long-term cognitive well-being. Career Path: Cognitive Development Specialist Mental Health Practitioner Personal Development Coach Health and Wellness Expert Brain Health Consultant Psychology Practitioner