12518 Environment courses

An evening of Shamanic healing, plant medicine and live music to heal and grow. We invite you to attend an evening of shamanic healing, plant medicine and live music to heal and grow. We are excited to share three powerful medicines from the Amazon with you - Rapé, Sananga and Cacao. There will be adequate time for you to sit with the effects of each medicine while we sing and play to guide you on your journey. You are welcome to simply listen and enjoy the ceremony or if you would like to join in and sing, play or dance, you are welcome to! The Plant Medicines Cacao is known as the "food of the gods.” It has been used for centuries in ceremonial settings to open the heart, connect with our inner essence, and clear stagnant emotional energy from the body. Sip on a warm cup of ceremonial Cacao, prepared with intention and love, as it takes you on a journey and guides you back to your heart. Rapé is a powerful shamanic medicine renowned for its purifying and grounding properties. It is snuff made from tobacco and other medicinal or sacred trees which is applied by being blown into each nostril. Our team will offer individual servings of high-quality Rapé, made by indigenous tribes. You will have the opportunity to choose the strength of your dose, allowing you to navigate this sacred medicine at your own pace. The application of Rapé immediately focuses the mind, stops its chattering, and creates space. It helps release emotional, physical, and spiritual illness and eases negativity and confusion, facilitating clarity, alignment, and a profound connection with yourself. Sananga is a traditional Brazilian medicine used for both spiritual and physical healing. Sananga possesses the ability to clear blocked energies, offering emotional, spiritual, and physical release. The plant-based eye drops are said to enhance eyesight and have long been used by indigenous tribes to prevent and treat ocular diseases like glaucoma, cataracts, near-sightedness, and blindness. Sananga is also commonly used to treat skin diseases, infections, arthritis, cancer, and to clear a person of what is called panema - anxiety, depression, bad luck, negative energies and laziness. This powerful plant guides us towards the roots of our challenges and provides guidance on our healing journey. Preparation You are advised to fast (just water) for at least one hour before the ceremony and avoid any heavily processed or fried foods during the day. Please wear comfortable clothing. If you would like to bring a guitar, drum, shaker or other instrument to play, please do. Price The ticket price for this event is on a sliding scale. Please pay what you can afford. Your Facilitator: Melissa is a renowned Sound Healer, Life Coach, Tantric Practitioner, and Psychedelic Retreat Facilitator. With a passion for empowering individuals, Melissa offers transformative one-on-one coaching sessions and leads workshops and retreats in the areas of Self Healing, Sexual Mastery, and Psychedelics. Melissa's background as a Lawyer brings a unique perspective to her approach. She is grounded and non-dogmatic and empowers her clients to balance their beliefs with a healthy amount of critical thinking and discernment. In her work as a retreat leader, Melissa creates safe and supportive environments for individuals to explore the transformational power of Ayahuasca. With her deep love and respect for shamanic traditions, Melissa guides participants through profound inner experiences, facilitating healing, self-discovery, and personal growth. Her commitment to personal and collective transformation have earned her recognition as a leading figure in her respective fields. Her comprehensive approach, combining ancient wisdom with modern techniques, empowers individuals to transcend their limitations, unlock their potential, and live lives of purpose and fulfilment. Find us on social media: @numinity.collective Join our Whatsapp Group for new event updates.

Duration 3 Days 18 CPD hours This course is intended for This course is primarily designed for students who want to gain the skills necessary to use VBA to automate tasks in Excel such as collecting data from external sources, cleaning, and manipulating data. The target student may also want to learn how to create custom worksheet functions to streamline worksheet formulas and make complex worksheets easier to support, maintain, and understand. Overview In this course, you will develop and deploy VBA modules to solve business problems. You will: Identify general components of VBA and their appropriate use in solving business solutions. Record VBA macros to automate repetitive tasks. Use reference tools built into Excel to get help on VBA programming language and objects used in the Excel VBA environment. Write VBA code to create a custom worksheet function. Eliminate, avoid, or handle errors in VBA code, and optimize its performance. Control how and when macros run. Develop UserForm objects to create custom dialog boxes and windows. Use VBA to read and write data from local files and cloud services. Use VBA to clean and transform data. Run programs and commands outside of Excel and share VBA projects with other users VBA (Visual Basic for Applications) enables you to enhance and extend the capabilities of Microsoft© Excel© and other applications in the Microsoft© Office application suite. You can use VBA to perform tasks that would be difficult or impossible to do using only worksheet functions, and you can automate a wide range of tasks involving the collection, processing, analysis, and visualization of data. This course will give you a good foundation for understanding, creating, and using VBA in your own Excel workbooks, show you how to work with data across different applications, and how to package the macros and functions you create so you can back them up, move them to other computers, and share them with other users Prerequisites To ensure your success in this course, you should be an experienced Excel user who is comfortable creating and working with Excel workbooks, including tasks such as entering worksheet formulas, using absolute and relative addressing, formatting cells, and creating pivot tables and charts. This level of skill could be acquired by taking the Microsoft Excel for Office 365? (Desktop or Online) courses, Parts 1, 2, and 3 1 - Using VBA to Solve Business Problems Topic A: Use Macros to Automate Tasks in Excel Topic B: Identify Components of Macro-Enabled Workbooks Topic C: Configure the Excel VBA Environment 2 - Automating Repetitive Tasks Topic A: Use the Macro Recorder to Create a VBA Macro Topic B: Record a Macro with Relative Addressing Topic C: Delete Macros and Modules Topic D: Identify Strategies for Using the Macro Recorder 3 - Getting Help on VBA Topic A: Use VBA Help Topic B: Use the Object Browser to Discover Objects You Can Use in VBA Topic C: Use the Immediate Window to Explore Object Properties and Methods 4 - Creating Custom Worksheet Functions Topic A: Create a Custom Function Topic B: Make Decisions in Code Topic C: Work with Variables Topic D: Perform Repetitive Tasks 5 - Improving Your VBA Code Topic A: Debug VBA Errors Topic B: Deal with Errors Topic C: Improve Macro Performance 6 - Controlling How and When Macros Run Topic A: Prompt the User for Information Topic B: Configure Macros to Run Automatically 7 - Developing Custom Forms Topic A: Display a Custom Dialog Box Topic B: Program Form Events 8 - Using VBA to Work with Files Topic A: Use VBA to Get File and Directory Structure Topic B: Use VBA to Read Text Files Topic C: Use VBA to Write Text Files 9 - Using VBA to Clean and Transform Data Topic A: Automate Power Query Topic B: Transform Data Using VBA and Workbook Functions Topic C: Use Regular Expressions Topic D: Manage Errors in Data 10 - Extending the Programming Environment Beyond the Workbook Topic A: Run Other Programs and Commands Topic B: Share Your VBA Projects

Managing meetings, Meeting Management, Efficient Meetings, Moccasin Approach, Moccasin Manager,

Master Portable Appliance Testing with our comprehensive course. Learn appliance safety, electrical principles, testing protocols, and risk assessment to ensure equipment safety and compliance. Ideal for professionals in safety and maintenance roles.

Learn how to make traditional cold process soap and blend your own body creams at home with The Scottish Soapworks at The Arienas Collective in Edinburgh City Centre.

Hypnotherapy Learning Retreat, immersive four-day retreat designed to elevate your skills and knowledge in the serene environment of our exclusive venue. Whether you are a seasoned professional or just beginning your journey, this retreat offers a unique opportunity to learn, grow, and connect with like-minded individuals.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Project Quality Management: Virtual In-House Training In today's environment, quality is the responsibility of everyone. Project success is no longer just the fulfillment of a project on schedule, on budget, and within the scope. Today, projects aren't successful unless the customer's needs are met at the highest level of quality at the lowest cost to the organization. Project Managers must know customer needs, and manage to them throughout the project lifecycle, in order to gain acceptance. Project Quality Management provides an interactive, hands-on environment for participants to practice identification of critical quality requirements (quality planning), fulfillment of those requirements through well-designed processes (Quality Assurance), and statistical awareness of technical specifications of project deliverables (Quality Control). What You Will Learn You'll learn how to: Plan for higher quality project deliverables Measure key performance indicators on projects, processes, and products Turn data into useful project information Take action on analyzed data that will drive down non-value-added costs and drive up customer acceptance and satisfaction Reduce defects and waste in current project management processes Foundation Concepts Quality Defined Customer Focus Financial Focus Quality Management Process Management Cost of Quality Planning for Quality Project Manager Role in Planning Voice of the Customer Quality Management Plan Measurement System Accuracy Data Gathering Data Sampling Manage Quality Process Management Process Mapping Process Analysis Value Stream Mapping Standardization Visual Workplace and 5S Error Proofing (Poka-Yoke) Failure Mode and Effect Analysis Control Quality The Concept of Variation Common Cause Special Cause Standard Business Reports Tracking Key Measurements Control Charts Data Analysis Variation Root Cause Analysis Variance Management Designing for Quality

Our exclusive Tranceworks course is the second part of of the 120-hour Advanced Hypnotherapy Diploma (HPD) course it is the perfect opportunity to elevate your practice with hands-on, face-to-face training.

4G training course description This course is designed to give the delegate an understanding of the technologies used within a 3G UMTS mobile network. During the course we will investigate the UMTS air interface and the use of Wideband-Code Division Multiple Access (WCDMA) to facilitate high speed data access, together with HSPA to offer mobile broadband services. We will describe the use of soft handover rather than hard handover procedures and soft capacity sharing. The course includes a brief exploration of the UMTS protocol stack and the use of PDP Context and QoS support features. What will you learn Explain the 3G UMTS architecture. Describe the role of a Drifting & Serving RNC. Explain the use of ARQ & HARQ for mobile broadband. Describe how IMS integrates into the architecture. Describe the use of Media Gateway Controllers. Identify the temporary identities used within 3G UMTS. 4G training course details Who will benefit: Anyone working within the telecommunications area, especially within the mobile environment. Prerequisites: Mobile communications demystified Telecommunications Introduction Duration 2 days 4G training course contents LTE Introduction The path to LTE, 3GPP. LTE to LTE advanced. LTE Architecture The core, Access, roaming. Protocols: User plane, Control plane. Example information flows. Bearer management. Spectrum allocation. LTE technologies Transmission, reception, OFDMA, multiple antenna, MIMO. LTE Air interface Air interface protocol stack. Channels, Resource Grid, cell acquisition. Up and downlink controls. Layer 2 protocols. Cell acquisition Power on, selecting networks and cells. RRC connection. Attach procedure. Mobility management Roaming, RRC_IDLE, RRC_CONNECTED, cell reselection, handover, interoperation with UMTS and GSM networks. Voice and text IMS, QoS, policy and charging.