104 Harness courses delivered Live Online

Better relationships intensive training programme One on one dating coaching Better relationships programme and Relationship assessment overview 5 Day Holiday in mystery 5 star location (Clear mind and relaxation) 2 day therapy in 5 star Luxury London hotel Luxury spa retreat and treatment by celebrity facialist World famous celebrity dentist teeth whitening treatment Free M.D.D Membership for 1 year Assess your love life and enjoy a vacation and bespoke luxury package created by your M.D.D date coach to tailor to your specific needs and problem areas enjoy a first-class experience and let the M.D.D help you embrace a new and bright future and assist you with a beautiful transition to the love life you desire and a happier, confident, enriched mind.Let all your strengths and abilities be harnessed to propel you to great success with this intensive package Price on application https://relationshipsmdd.com/product/m-d-d-premier-vip-coaching-package/

6 Week Qi-Gong Course For Winter When: Tuesday Evenings 6pm and Thursday Mornings (via Zoom) All classes are recorded so you can catch up in your own time. Dates: Tuesdays 6-7pm: January 7th, 14th, 21st, 28th and February 4th and 11th Thursdays 9-9.30am: January 9th, 16th, 23rd, 30th and February 6th and 13th Price: Concessions £60 – Standard £80 – Supporter £110 Suitable for everyone no matter your experience What if you could improve your health, strength and vitality, by simply slowing down? Slow your body Slow your breath Slow your mind When we slow down we give ourselves the opportunity to rejuvenate, to recharge and to harness our own life force energy or “Qi”. As we move towards winter we begin to turn inwards and connect to the power of Yin, the power of Water and the power of finding our own slow flow. In this 6 week course we will explore Qigong movements, meditations and breathwork practices to support this slowing down, giving us the space to connect to our Qi, to our subtle energy, giving us the tools to feel stronger, calmer and full of vitality. In Traditional Chinese Medicine we are entering the water phase of winter. The water element relates to the organs of the bladder and kidneys, our bones, our ears and our sense of hearing. The meridians of Kidney and Bladder run along our spine and the back of the body and when they are flowing well we feel supported by life, grounded and connected to the world around us. We can find our inner flow with ease, without effort or strain, enabling us to let go of our fears and move forward with courage. Qigong teaches us to come back to our bodies, to come back home, to a place of belonging that is inside all of us, a place of stillness in our the centre. Where we can better navigate life’s uncertainties with greater balance, ease, and steadiness. What is included: Six live 60min evening Qigong Classes on zoom Six live 30min morning Slow Flow classes on zoom Access to replays of all classes so you can catch up in your own time. Access to private Whats App group to share experiences and ask questions Weekly supporting material for home practice : – A Weekly video with a guided Qigong Practice or Meditation – PDF – explanations of each practice – Key acupuncture points for self massage Together we will: Learn a simple Slow Flow Qigong Movements to balance your nervous system and release stress. Explore the principal of Wu Wei – Release tension and move with effortless action Connect to your deep internal power – Learn to Standing in Emptiness (Wuchi) Strengthen Kidneys and support adrenal health Exercises to strengthen your spine and reduce back pain Clear the meridian pathways reducing stagnation and stiffness for increased flow and vitality. Learn self-massage techniques for key acupuncture points to release stress and calm our busy minds. Qigong means “To Nourish Life” and for me having a regular practice helps to bring me home to myself. What will i get out of this course? Deeper body awareness Increased strength and emotional stability Relax your mind and Improve mental clarity Enhanced breathing and improved circulation Strengthen your back and build a healthy spine Less physical tension and reduced pain More energy Less stress and anxiety Everyone is welcome to join the course no matter your experience. Please get in touch if you have any questions.

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

The Alternative Energy Technology Course is a practically based alternative energy course designed to give participants an understanding of alternative energy options and provide them with that practical knowledge and skills to build solar to electric and wind to electric systems at a foundation level. The course is designed to be of benefit to people either working or intending to work as:- Alternative Energy Installers or anyone just wishing to gain practical knowledge of Practical Alternative Energy Systems

About this training course This 3-days training will provide a comprehensive review of integrity of wells exposed to carbon dioxide (CO2) in the context of Carbon Capture Utilization for enhanced oil recovery and Storage (CCUS). CO2 geological storage is a proven technology to reduce greenhouse gas emissions from sources such as coal power plants, cement kilns and steel mills. Wells are widely considered the most critical containment element, especially older wells that are not used to inject CO2 or monitor the plume evolution in the storage reservoir. The main reason for this perceived risk is the high corrosion rate of carbon steel when exposed to wet CO2, and the tendency of Portland cement to react with the gas. The training course advanced contents build on 15 years' experience in carbon storage, both in the development and deployment of technologies. First-hand, in-depth knowledge of the subject will allow us to debunk myths and focus on the real challenges of wells encountering CO2. Training Objectives After the completion of this training course, participants will be able to: Explain the CCUS market drivers Examine the behavior of CO2, on surface and in the reservoir Diagnose cement defects and design repairs Understand the limits of Portland cement Assess the benefits of different technologies and materials Realize why geology is a dominant factor in cement performance Critically choose the most appropriate monitoring techniques Classify aging processes of cement, steel, and rock when exposed to CO2 Assess the risk of existing wells if they encounter the CO2 plume Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit: All surface technical personnel such as process engineers & technologists Facility engineers, production engineers & technologists Drilling engineers and Well engineers Design engineers and Integrity engineers P&A engineers and Cementing engineers Geologists Senior management executives will benefit from this training as covers an overview of the technical and commercial details of CO2 capture technologies and risks involved. Course Level Intermediate Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 3 days in total (21 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Trainer Your expert course leader is an engineer with a passion for well integrity and possesses 28 years of international experience in field operations, technology development and management in the oil & gas and carbon storage sectors. Since 2018 he is program chair of the Well Integrity Technical Section of the Society of Petroleum Engineers (SPE). He is also author or co-author of 31 technical papers, a book chapter on CO2 geological storage and 7 patent applications. He delivers training on well integrity, plug and abandonment, asset integrity, risk management and QHSE across the Eastern Hemisphere, and carries out active research on harnessing geological barriers, modeling leaks through cement, and quantifying methane emissions from oil & gas wells. He has extensive expertise in: Well integrity, cementing, corrosion, upstream oil & gas (drilling, completion), carbon capture and storage, mathematical modeling, risk management, reliability, HSSE (health/safety/security/environment), asset integrity, management systems, sustainable development, project management, portfolio management, training, and technology development and innovation. He has personally worked on CCS projects in Europe (France, Germany, Netherlands, Norway), Algeria, Japan and USA. Partial list of companies that have benefited from the trainer's expertise: Vermilion Energy Geostock Aker BP Shell Statoil ENI TNO Geogreen Wintershall Archer INA and many more Recent CCS consulting track record: Schlumberger Total Oxand TNO THREE60 Energy and others POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable

SAFe® Agile Product Management: In-House Training Discover and apply the mindset, skills, and tools you need to create successful products and solutions that are desirable, viable, feasible, and sustainable. The Agile Product Management course harnesses the power of Design Thinking to develop innovative solutions with proven SAFe® capabilities to execute on those visions. Learn the right mindset, skills, and tools to create successful products from inception to retirement using Agile techniques. Recognize how Continuous Exploration fuels innovation and helps you define a vision, strategy, and roadmap to tap into new markets. Find out how to accelerate the product life cycle to get fast feedback and quickly deliver exceptional products and solutions that delight customers all while aligning with your organization's strategy, portfolio, evolving architecture, and solution intent. What you will Learn After completing the class, you should be able to: Use Design Thinking to achieve desirable, feasible, and sustainable outcomes Explore market needs, segmentation, sizing, and competitive landscape Manage value stream economics, including pricing and licensing Use empathy to drive design Apply product strategy and vision Develop and evolve roadmaps Execute and deliver value using SAFe® Explore innovation in the value stream Analyzing your Role as a Product Manager in the Lean Enterprise Continuously Exploring Markets and Users Driving Strategy with Market Segmentation Using Empathy to Drive Design Defining Product Strategy and Vision Creating Roadmaps to Build Solutions Delivering Value Managing Value Stream Economics Creating Innovation in the Value Stream

SAFe® Agile Product Management: Virtual In-House Training Discover and apply the mindset, skills, and tools you need to create successful products and solutions that are desirable, viable, feasible, and sustainable. The Agile Product Management course harnesses the power of Design Thinking to develop innovative solutions with proven SAFe® capabilities to execute on those visions. Learn the right mindset, skills, and tools to create successful products from inception to retirement using Agile techniques. Recognize how Continuous Exploration fuels innovation and helps you define a vision, strategy, and roadmap to tap into new markets. Find out how to accelerate the product life cycle to get fast feedback and quickly deliver exceptional products and solutions that delight customers all while aligning with your organization's strategy, portfolio, evolving architecture, and solution intent. What you will Learn After completing the class, you should be able to: Use Design Thinking to achieve desirable, feasible, and sustainable outcomes Explore market needs, segmentation, sizing, and competitive landscape Manage value stream economics, including pricing and licensing Use empathy to drive design Apply product strategy and vision Develop and evolve roadmaps Execute and deliver value using SAFe® Explore innovation in the value stream Analyzing your Role as a Product Manager in the Lean Enterprise Continuously Exploring Markets and Users Driving Strategy with Market Segmentation Using Empathy to Drive Design Defining Product Strategy and Vision Creating Roadmaps to Build Solutions Delivering Value Managing Value Stream Economics Creating Innovation in the Value Stream

Duration 2 Days 12 CPD hours This course is intended for Leaders and professionals who manage teams or groups and are responsible for their outcomes will benefit from this course. Overview Apply techniques to encourage participation and reach consensus Utilize facilitative questioning techniques Recognize indicators to facilitate each stage of the team process Deal constructively with disruptions and typical problem behavior Implement interventions appropriately Plan and run a focused discussion, meeting or event Students will learn how to develop and apply facilitation techniques to support their team at every stage of the team life cycle. Students will enhance their interpersonal competencies and observational abilities to deal with disruptions and more. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. 1. The Importance of Facilitation Being an Effective Facilitator Harnessing Knowledge, Experience, and Diversity Encouraging Group Motivation and Commitment Observing the Team Process 2. Facilitating Process and Content Identifying Process and Content Elements Managing the Flow Resolving Tensions and Disagreement 3. Setting the Stage for Facilitation Laying the Groundwork, Educating Participants, and Securing Support Selecting the Right Facilitator Planning for a Facilitated Meeting 4. Facilitating Team Development Encouraging Participation Recognizing Stages in the Team Life Cycle Supporting the Team through the Stages 5. Building Consensus and Reaching Decisions Gathering and Presenting Data Synthesizing and Summarizing Identifying Options and Brainstorming Facilitating SWOT Analysis Creating a Short List Using the Multi-Option technique 6. Disruptions, Dysfunctions and Interventions Handling Disruptions and Difficult Behavior Addressing Dysfunction Agreeing on Ground Rules Restating and Reframing

Career Development and Passion Course Overview This course is designed to help individuals navigate their career development while staying true to their passions. It covers key aspects of career growth, self-improvement, and the strategic pursuit of personal interests to build a fulfilling professional life. Learners will explore how to harness their passion to fuel career success, develop essential skills, and adopt a positive mindset for achieving long-term professional goals. Upon completion, learners will be equipped to enhance their career trajectory, align their passion with their work, and achieve greater job satisfaction. Course Description In this course, learners will delve into various stages of career development, focusing on self-improvement, identifying and chasing one's passion, and mastering the mindset required for success. Topics such as aligning passion with career choices, improving skills, and navigating job hunting will be covered in-depth. Learners will gain insights into how passion can be a driving force behind career success and how to monetise skills and interests effectively. By mastering these topics, participants will be well-prepared to achieve personal and professional fulfilment in their chosen career path. Career Development and Passion Curriculum Module 01: Career Module 02: Self-Improvement Module 03: Passion Module 04: Chase the Passion Module 05: Be Good at Your Passion Module 06: Passion and Money Module 07: Master Your Mindset Module 08: Preparation for Success Module 09: Job Hunting Module 10: Acing Your Interview Module 11: Prosper in Career (See full curriculum) Who is this course for? Individuals seeking to align their career with their passion. Professionals aiming to enhance career growth and job satisfaction. Beginners with an interest in career development and personal growth. Anyone looking to improve their job hunting and interview skills. Career Path Career development coach HR specialist Business consultant Entrepreneur in passion-driven industries Motivational speaker or trainer Corporate strategist Freelance professional

ChatGPT for Marketing and Productivity with AI Tools Course Overview: This course provides an in-depth exploration of ChatGPT and other AI tools in the context of marketing and productivity. Designed for individuals keen on integrating AI into their business strategies, it covers essential techniques and applications to enhance marketing efforts and streamline work processes. Learners will gain insights into leveraging AI for targeted campaigns, content creation, and automation, while also learning how to increase personal and team productivity using AI tools. By the end of the course, learners will have a clear understanding of how to apply AI-driven solutions to achieve measurable results in marketing and productivity. Course Description: In this course, learners will explore the dynamic field of AI-powered marketing and productivity tools. Key topics include the AI Marketing Playbook, which introduces learners to the fundamentals of using AI in marketing, followed by strategies for utilising ChatGPT and other AI tools for content creation, social media campaigns, and customer engagement. Additionally, learners will discover various AI tools designed to optimise productivity, including project management, data analysis, and communication tools. This course provides a comprehensive approach, equipping learners with the knowledge to harness AI’s capabilities in improving both marketing efforts and workplace efficiency. ChatGPT for Marketing and Productivity with AI Tools Curriculum: Module 01: The AI Marketing Playbook Module 02: How to Use ChatGPT and AI for Marketing Module 03: Productivity with AI Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their marketing efforts with AI. Professionals aiming to boost their productivity using AI-driven tools. Beginners with an interest in AI technologies and marketing. Business owners looking to streamline marketing and productivity. Career Path: Digital Marketing Specialist Marketing Automation Expert AI Solutions Specialist Productivity Consultant Marketing Manager