381 Forest courses

English Mastery Mission (Advanced Level)

Description: The 70-413 - Designing and Implementing a Server Infrastructure (MCSE) course will prepare you for the Exam 70-414: Implementing an Advanced Server Infrastructure. The course covers the advanced topics that IT professionals encounter in the enterprise environment. For passing the exam, you should have a thorough understanding of a fundamental server infra¬structure including monitoring, virtualisation, and high availability. There are four main objective areas on the 70-414 Exam which are discussed in the course thoroughly: Manage and maintain a server infrastructure Plan and implement a highly available enterprise infrastructure Plan and implement a server virtualisation infrastructure Design and implement identity and access solutions In the course, you will learn how to create the virtual infrastructure, plan and deploy virtual machines and implement solutions for the virtual administration. You will also learn about monitoring, high availability, updates, PKI, BCP and IDA. In short, the course will prepare you for the exam. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? 70-413 - Designing and Implementing a Server Infrastructure (MCSE) course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our 70-413 - Designing and Implementing a Server Infrastructure (MCSE) training course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Server Infrastructure - Upgrade and Migration Upgrade and Migration FREE 00:34:00 Windows Assessment and Deployment Kit (ADK) 00:20:00 HyperV Virtual Licensing 00:12:00 Cloning Domain Controllers 00:24:00 Imaging Strategies 00:19:00 Choosing a Deployment Method 00:07:00 Installing Windows AIK 00:07:00 New Features in Windows DS 00:04:00 Storage and File Services Storage and File Services 00:09:00 iSCSIes 00:14:00 DFS 00:15:00 Deploying and Configrueing DFS 00:14:00 BranchCache 00:06:00 Implementing BrancheCache 00:05:00 Discretionary Access Control 00:19:00 Resource Properties 00:09:00 Network Infrastructure Services Network Infrastructure Services 00:25:00 DHCP Server Placement Infrastructure 00:25:00 IPAM Definition and Benefits 00:25:00 DNS Namespace Design 00:26:00 DNS Records Needed by AD 00:09:00 DNS Design Considerations 00:11:00 Performance Monitor and DNS 00:08:00 Zone Transfers and Replications 00:09:00 Configuring Zone Transfers 00:05:00 Creating DNS Zones 00:08:00 DNS and High-Availability 00:11:00 Planning for External User Access Planning for External User Access 00:18:00 Authentication Protocols and Methods 00:15:00 Network Access Policies 00:10:00 Creating a VPN 00:18:00 Perimeter Networks 00:07:00 DirectAccess 00:16:00 RADIUS Authentication and NPS 00:10:00 Network Security 00:26:00 Connection Security Rules 00:03:00 Design and Implement Logical AD Infrastructure Design and Implement Logical AD Infrastructure 00:18:00 Guidelines for Designing AD DS Forests 00:19:00 Creating a Forest Root 00:18:00 Viewing and Editing the Schema 00:10:00 Creating a Forest Trust Part 1 00:06:00 Creating a Forest Trust Part 2 00:06:00 AD DS Domains 00:18:00 Install Second Domain Controller to Domain 00:12:00 Trust Relationships 00:29:00 OU Strategies 00:21:00 Exploring AD Permissions within OU Structure 00:09:00 Protecting OUs using PowerShell 00:08:00 Active Directory Groups 00:24:00 Creating Groups with Active Directory Administration Center 00:11:00 Creating Groups with PowerShell 00:05:00 Special Identities 00:05:00 D GPO AD GPO 00:14:00 Group Policy Categories 00:18:00 Group Policy Preferences 00:11:00 PowerShell Cmdlets 00:06:00 Designing a Physical AD Infrastructure Designing a Physical AD Infrastructure 00:19:00 Replication Topologies Ring 00:09:00 Site Links 00:12:00 Domain Controllers Domain Controllers 00:12:00 Best Practices Analyzer 00:07:00 HighAvailability 00:15:00 Mock Exam Mock Exam- 70-413 - Designing and Implementing a Server Infrastructure (MCSE) 00:20:00 Final Exam Final Exam- 70-413 - Designing and Implementing a Server Infrastructure (MCSE) 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Heart centred Qi-Gong with Emma Sunday 9th June 2024 10am-1pm Price: £40  Welcome to the Sunhouse for another blissful morning of Qi-Gong and meditation. In this summer session we will be exploring the FIRE element through heart centred Qi-Gong.  Imagine bare-feet on the grass, absorbing the morning sunlight on your skin, serenaded by the sounds of the forest and smells of fresh blossom filling the air. Let yourself be supported and grounded by nature all around us.  Emma will guide us through a gentle yet powerful Qi-Gong practice, a form of movement meditation helping to clear out energetic blockages so you can feel more connected with your deeper self.  In this summer session we will explore what is know as the three treasures; Jing (Essence), Qi (Energy), Shen (Mind-Spirit). We will begin with active dynamic Qi-Gong exercises working with our ‘Jing’ energy opening our physical body with tapping, self massage and stretches, we will then access the ‘Qi’ energetic level with a focus on our heart Qi through slow flowing movements and breathing practices. We will finish with a ‘Shen’ meditation connecting to our own light body and its natural connection to the abundant Qi of the universe.  Lets invite a little more joy in to our everyday Price includes nourishing drinks and delicious summer treats

To facilitate a group, family, team or organisation in thinking together around a given challenge or issue here is an opportunity to experience for real the person centred, futures planning tool – MAP (Pearpoint, Forest et. al. 1989). This is a process not a training day. Let us facilitate your planning and refocus your story whilst strengthening you and your group. This tool uses both process and graphic facilitation to help any group develop a shared vision and then to make a start on working out what they will need to do together to move towards that vision. MAPS are great for threshold moments. Is your team stuck? Want to move on, haunted by the past cannot get any useful dialogue about the future? Facing a challenging transition into a new school or setting? Leaving school? Bored with annual reviews, transition plans and review meetings? Want to find a way of making meetings and planning feel more real and engaging? Need an approach, which engages a young person respectfully together with his or her family and friends? Want the ultimate visual record of the process of a meeting, which will help everyone, keep track? Want to problem solve and plan for the future of a small or large group, service or organisation up to the size of an LEA Learning Objectives To create a shared vision To talk through the story so far and reflect upon it To name the worse nightmares that will block progress To strengthen the group by focussing on gifts and capacity To detail needs To specify an Action Plan To create a visual graphic record of the whole event Course Content The MAP process has 6 Steps: The story so far. The group is required to think back over the years to describe their collective experience of changes and events over time within their settings. Stories and events are recorded on the graphic. Building Shared Dreams. The group thinks together about what they would love to see happening for children, families and practitioners in their settings if they could have it all. If there were no constraints on time, money, resources, people or anything else what do they see happening in their imaginations? The various ideas that the group comes up with are then recorded in key words, images and colours on the MAP graphic. The purpose of this Step is to give the group a sense of direction, their North Star, an image of the place they want to work towards. Nightmare. In this Step, the group imagines the worst scenarios. What is the opposite of their dreams? How bad could it get? This is a shorter but powerful process that can give some groups more energy than dreaming together. Gifts and Capacity. In this Step the group is asked to take explicit stock of their capacities and what they already have going for them as they begin working towards the vision. This is a strong reminder for any group of the wealth of knowledge and experience that is already and always in the room. Needs. In this Step the group is invited to begin to name some of the needs they will have if they are to move forward to wards the dream and away from the nightmare. Actions. This is the final Step in the MAP and calls for individuals within the group to name a range of very specific actions (however small) that they will take within a definite time scale. This is not a time for declaring good intentions or suggesting good ideas for someone else to do. The purpose of this Step is to end the MAP process with a range of clearly understood actions that carry this planning process forward into the real world.

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Level 4 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Would you like to immerse yourself in your personal yoga practice? To refresh and inspire your personal approach to yoga? If, like many of us, you feel the need to take time out, dive deep into your personal practice and replenish your energy levels, then join us for this year’s Scaravelli Inspired Yoga & Wellbeing Immersion. This year, we’re focusing on feeling good. Exploring how and why yoga helps to lift our mood and downregulate our nervous system. Each day, we’ll practice yoga, breathwork and meditation. We’ll walk across the downs and down to the beach for a swim, maybe light a bonfire as the sun sets.

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

Recent changes to Forestry Commission policy recommend those who work in the Forestry industry attend training which includes additional topics relevant to the risks and nature or their work. The Forestry Commission recommend topics including: Crush Injuries Catastrophic bleeding including chainsaw including chainsaw injuries and gun shot wounds Hypothermia / Exposure Suspension injuries Lyme's Disease Lightning & High Voltage injuries Casualty evacuation planning These are in addition to the normal Emergency First Aid criteria. Who Should Attend? This course is ideal for those who work or intend to work in a forestry, agricultural or remote environment, such as tree surgeons and farmers. Emergency First Aid Course Content Health & Safety First Aid Kit Resuscitation/CPR AED Familiarisation Recovery Position Choking - Adult, Child, Baby Burns & Scalds Poisoning including Anaphylaxis Epilepsy Shock Bleeding including Catastrophic bleeding Asthma Head Injuries Breaks, Sprains & Strains Specific Conditions (Heart Attack) Assessment / Certification Independent qualified assessors carry out the assessments. Each delegate that passes will receive a Certificate valid for Three years. Please note those holding a valid Certificate, training can take place up to 3 months in advance of the expiry date & the new Certificate will be dated from the expiry date of the old Certificate.