12217 Environment courses in Polegate delivered Online

Duration 2 Days 12 CPD hours This course is intended for Experienced VMware vSphere administrators Overview By the end of the course, you should be able to meet the following objectives: Explain the key features and use cases for vSAN Detail the underlying vSAN architecture and components Describe the different vSAN deployment options Detail vSAN cluster requirements and considerations Apply recommended vSAN design considerations and capacity sizing practices Determine and plan for storage consumption by data growth and failure tolerance Design vSAN hosts for operational needs Explain Maintenance Mode use and its impacts on vSAN Apply best practices for vSAN network configurations Manually configure a vSAN cluster using VMware vSphere Client™ Explain and configure vSAN fault domains Understand and apply vSAN storage policies Define encryption in the vSAN cluster Describe the architecture and use cases for stretched clusters Describe the architecture and use cases for two-node clusters Understand the steps involved in creating the vSAN iSCSI target services This two-day, hands-on training course provides you with the knowledge, skills, and tools to plan and deploy a VMware vSAN? cluster. In this course, you are taught the many considerations that the end vSAN configuration has on the initial planning of the vSAN datastore. You also perform a fully manual configuration of a vSAN cluster. Course Introduction Introductions and course logistics Course objectives Introduction to vSAN Describe vSAN architecture Identify vSAN objects and components Describe the advantages of object-based storage Describe the difference between All-Flash and Hybrid vSAN architecture Explain the key features and use cases for vSAN Discuss the vSAN integration and compatibility with other VMware technologies Planning a vSAN Cluster Identify requirements and planning considerations for vSAN clusters Apply vSAN cluster planning and deployment best practices Determine and plan for storage consumption by data growth and failure tolerance Design vSAN hosts for operational needs Identify vSAN networking features and requirements Describe ways of controlling traffic in a vSAN environment Recognize best practices for vSAN network configurations Deploying a vSAN Cluster Deploy and configure a vSAN cluster using the Cluster Quickstart wizard Manually configure a vSAN cluster using vSphere Client Explain and configure vSAN fault domains Using VMware vSphere© High Availability with vSAN Understand vSAN cluster maintenance capabilities Describe the difference between implicit and explicit fault domains Create explicit fault domains vSAN Storage Policies Describe a vSAN object Describe how objects are split into components Explain the purpose of witness components Explain how vSAN stores large objects View object and component placement on the vSAN datastore Explain how storage policies work with vSAN Define and create a virtual machine storage policy Apply and modify virtual machine storage policies Change virtual machine storage policies dynamically Identify virtual machine storage policy compliance status Introduction to Advanced vSAN Configurations Define and configure compression and deduplication in the vSAN cluster Define and configure encryption in the vSAN cluster Understand the remote vSAN datastore topology Identify the operations involved in managing the remote vSAN datastore Understand the steps involved in creating the vSAN iSCSI target service vSAN Stretched and Two-Node Clusters Describe the architecture and use cases for stretched clusters Detail the deployment and replacement of a vSAN witness node Describe the architecture and uses case for two-node clusters Explain the benefits of vSphere HA and vSphere Site Recovery Manager in a vSAN stretched cluster Explain storage policies for vSAN stretched cluster Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSAN: Plan and Deploy [v7] 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 VMware vSAN: Plan and Deploy [v7] 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.

Duration 4 Days 24 CPD hours This course is intended for This is an intermediate course for individuals responsible for developing and implementing effective storage management techniques. Overview Establish a DFSMS configuration to automatically enforce your installation's storage management policies Convert service level requirements into appropriate parameters for data class, storage class, management class, and storage groups Create and test Automatic Class Selection (ACS) routines Convert volumes and move data to system-managed volumes with DFSMS Data Set Services (DFSMSdss) Specify appropriate management class and storage group parameters for DFSMS Hierarchical Storage Management (DFSMShsm) processing of system-managed data sets Plan to maintain your DFSMS environment using Naviquest Establish procedures to control, manage, and recover the storage management subsystem with ISMF and operator commands Develop a DFSMS implementation plan In this course you will learn how to plan and implement DFSMS and learn how to manage temporary and permanent data sets with an emphasis on disk storage. Course introduction and DFSMS overview Specify the storage administration functions that can be automatically performed by the system Identify the types of data set services that need to be established by negotiating service level agreements Correlate data set service requirements to the SMS configuration components: data class, storage class, management class, storage group, and automatic class selection routines Activating SMS Identify the functions eligible for exploitation with the installation of DFSMS Data Facility Product (DFSMSdfp) and the activation of SMS Create SMS control data sets Code SYS1.PARMLIB operands necessary to bring up SMS Create a minimal configuration Activate a configuration Writing ACS routines Identify the purpose of the ACS routines Develop an understanding of the statements Differentiate between literals and masks Describe the read variables available in the ACS routines Managing temporary data sets Create/alter storage classes and storage groups Identify steps to install and use the starter set Write ACS routines to handle temporary data sets Activate a system to manage temporary data sets Code commands to change volume/group SMS status Issue operator commands to display current status Exploiting DFSMS Describe the purpose of the data class Identify the features that the data class can exploit Create data sets using the space parameter Define Virtual Storage Access Method (VSAM) and volume attributes for data class Identify special data sets and their exploitation through the data class Managing permanent data sets Create/alter data classes, storage classes, management classes, and storage groups Translate current (DFSMShsm) service level agreements to management class parameters Identify alternatives and concerns for standard naming conventions Establish the controls for automatic backup of data sets Establish the controls for automatic volume dump Write ACS routines to manage permanent data Create a configuration that manages permanent data sets Create a new managed data set Identify function of storage class exit provided by Custom-Built Installation Process Offering (CBIPO) and resulting System Management Facility (SMF) records Using Naviquest Create test cases using Naviquest Perform storage administration tasks in batch Create online DFSMS reports Create model commands using Naviquest Use the COPYFILT macro Device preparation and data movement Initialize volumes as system-managed Move data into/out from system-managed control Convert volumes to/from system-managed Move data to utilize new hardware capabilities Controlling DFSMS Code commands to change SMS volume/group status Issue commands to save configurations and use alternate Active Control Data Set (ACDS) Issue command to use alternate Communication Data Set (COMMDS) Issue VARY SMS commands Communicate with the security administrator about storage management requirements Additional considerations Establish a plan for implementing SMS Locate sources of implementation planning checklists Identify the tools available to document the current system Identify multiple site considerations for recovery and exploitation Additional course details: Nexus Humans SS84 IBM DFSMS Implementation 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 SS84 IBM DFSMS Implementation 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.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.

Working in Confined Spaces Training Course Overview: The "Working in Confined Spaces Training" course is designed to equip learners with the essential knowledge and skills required to safely work in confined spaces. This training focuses on understanding the hazards associated with confined space environments, the importance of health and safety regulations, and the best practices for minimising risks. Learners will gain an in-depth understanding of the risks, the legislative framework, and the specific procedures required for working in such environments. Upon completion, learners will have a solid foundation in identifying potential dangers, implementing safety measures, and responding to emergency situations. This course is essential for anyone working in industries where confined space work is required, helping to ensure a safe and compliant working environment. Course Description: This course covers key aspects of working in confined spaces, focusing on hazard identification, risk assessment, and emergency procedures. Learners will be introduced to the relevant regulations, including the Confined Spaces Regulations 1997, and the importance of personal protective equipment (PPE) and ventilation systems. The course explores different types of confined spaces, typical hazards such as oxygen deficiency, and how to assess and control these risks effectively. Learners will also examine the importance of teamwork, communication, and safe entry/exit procedures. The content is delivered through engaging, structured modules, combining theoretical understanding with practical guidance to ensure learners develop the knowledge needed to work safely in confined spaces. After completing this training, learners will be confident in implementing safety protocols and responding to emergencies within confined space settings. Working in Confined Spaces Training Curriculum: Module 01: Working in Confined Spaces Training (See full curriculum) Who is this course for? Individuals seeking to work safely in confined spaces. Professionals aiming to enhance their knowledge of health and safety regulations. Beginners with an interest in health and safety or industrial work environments. Workers in industries such as construction, utilities, and manufacturing. Career Path: Health and Safety Officer Industrial Safety Manager Confined Space Supervisor Emergency Response Coordinator Environmental Health and Safety Specialist

Energy Engineer Course Overview This Energy Engineer Course offers a comprehensive introduction to energy systems, focusing on both traditional and renewable sources. Learners will explore the history of energy consumption, understand key concepts of sustainable energy, and gain insight into various renewable technologies including solar, wind, and geothermal power. Designed to enhance technical knowledge and environmental awareness, this course equips learners with the skills to evaluate energy applications and contribute to eco-friendly solutions. By completing this course, participants will be prepared to support energy-efficient initiatives and advance their careers in energy engineering or related fields. Course Description The course covers a broad range of energy topics, from non-renewable fuels to cutting-edge renewable energy technologies such as fuel cells, ocean, and geothermal energy. Learners will examine the principles behind each energy type and the practical considerations involved in their application. The programme emphasises environmental responsibility, exploring how energy choices impact sustainability and ecological balance. Participants will develop critical thinking skills to assess energy systems and understand the role of engineers in promoting greener alternatives. This course is delivered through detailed content and case studies that deepen understanding and support career progression within the energy sector. Energy Engineer Course Curriculum Module 01: History of Energy Consumption Module 02: Non-Renewable Energy Module 03: Basics of Sustainable Energy Module 04: Fuel Cell Module 05: Solar Energy Module 06: Wind Energy Module 07: Ocean Energy Module 08: Geothermal Energy Module 09: Application of Renewable Energy Module 10: Being Environment-Friendly (See full curriculum) Who Is This Course For? Individuals seeking to build expertise in energy engineering and sustainability. Professionals aiming to enhance their career in energy management or environmental consulting. Beginners with an interest in renewable energy technologies and sustainable development. Engineers and technical staff wishing to update their knowledge of energy systems. Career Path Energy Engineer Renewable Energy Consultant Sustainability Analyst Environmental Project Manager Energy Systems Designer Green Building Specialist

Course Overview Cyber Security Awareness Training is designed to equip learners with the essential knowledge to identify, manage, and reduce cyber risks in both personal and professional environments. This course provides a comprehensive understanding of the ever-evolving landscape of cyber threats and the proactive steps necessary to mitigate them. Through clear, accessible content, learners will explore key areas such as cyber attacks, password management, data breaches, and safe internet practices. By the end of the programme, participants will be able to recognise potential cyber threats, protect sensitive information, and contribute to creating a more secure digital environment. Whether for personal confidence or professional enhancement, this course offers crucial insights to stay safe in today’s technology-driven world. It is suitable for individuals at all levels, ensuring a solid foundation for developing cyber security awareness and resilience against emerging digital risks. Course Description This Cyber Security Awareness Training course delves deeper into the principles of protecting information and systems from cyber threats. Learners will explore common cyber attacks, cybercrimes, and the consequences of data breaches, alongside strategies for strengthening password security and practising safe internet browsing. The training also covers essential topics such as securing remote work environments, managing devices securely, and applying preventative measures to mitigate risks. Throughout the course, participants will engage with structured, easy-to-understand materials designed to build their confidence and competence in cyber security awareness. Learners will gain the ability to assess potential vulnerabilities, adopt safer digital habits, and contribute to wider organisational security initiatives. Delivered in a flexible, accessible format, the course is structured to support learners in developing critical thinking around cyber security issues while enhancing their ability to respond effectively to real-world digital threats. Course Modules Module 01: Introduction to Cyber Security Module 02: Cyber Attacks Module 03: Cybercrimes Module 04: Cyber Security and Data Breaches Module 05: Password Management Module 06: Internet Browsing Module 07: Office and Remote Work Security Module 08: Device Management Module 09: Preventative Measures (See full curriculum) Who is this course for? Individuals seeking to enhance their understanding of cyber threats and secure their digital presence. Professionals aiming to strengthen workplace cyber security practices. Beginners with an interest in cyber security, information security, or technology sectors. Employees required to complete cyber security awareness as part of corporate compliance programmes. Small business owners wishing to protect their business operations and client data. Career Path Cyber Security Assistant IT Support Analyst Security Awareness Coordinator Risk and Compliance Assistant Data Protection Officer Network Security Administrator Information Security Officer Technical Support Specialist Digital Operations Executive

Level 5 Diploma | FREE QLS Endorsed Certificate | 10 CPD Courses & PDF Certificates | 160 CPD Points | CPD Accredited

Registration starts at 7:30 AM. The training will begin promptly at 8:00 AM. Please plan your arrival accordingly to ensure you don't miss any important information. Reduce Emissions, Save Costs, Earn a CPC Hours, and Ensure Full Compliance Topics Covered: FORS Lo-CITY Driver Training (3.5 hours): • Relationship between driving style, fuel consumption, and environmental impact • Benefits of regular vehicle maintenance and checks • Fuel-efficient driving techniques • Utilising in-vehicle technology for fuel economy • Benefits of journey planning • Alternative fuels for commercial vehicles Highway Code Training Content: Course introduction, objectives, and expectations. Introduction to the Highway Code and its relevance. Types of road users and training for various groups. Respecting and understanding the risks to different road user categories. Confirmation of knowledge quizzes covering all aspects of the Highway Code and traffic regulations. Course Details: Format: Remote Session (7 hours) CPC Hours: Yes Cost: £89.50 - Includes course fee, Driver CPC Upload fee, VAT This award-winning program (awarded the prestigious Education in Transport award at the 2017 National Courier Awards) is perfect for any fleet operator looking to: Meet FORS Gold accreditation requirements. Improve driver performance and fuel efficiency. Reduce their environmental footprint. Enhance corporate social responsibility. Please note that this course is delivered online and provides 7 hours of Driver CPC training. Ready to get started? Book online or feel free to contact our training department at training@totalcompliance.co.uk or call 0345 9001312 to register for this valuable course. Please review our Terms and Conditions for more information.

Registration starts at 7:30 AM. The training will begin promptly at 8:00 AM. Please plan your arrival accordingly to ensure you don't miss any important information. Reduce Emissions, Save Costs, Earn a CPC Hours, and Ensure Full Compliance Topics Covered: FORS Lo-CITY Driver Training (3.5 hours): • Relationship between driving style, fuel consumption, and environmental impact • Benefits of regular vehicle maintenance and checks • Fuel-efficient driving techniques • Utilising in-vehicle technology for fuel economy • Benefits of journey planning • Alternative fuels for commercial vehicles Highway Code Training Content: Course introduction, objectives, and expectations. Introduction to the Highway Code and its relevance. Types of road users and training for various groups. Respecting and understanding the risks to different road user categories. Confirmation of knowledge quizzes covering all aspects of the Highway Code and traffic regulations. Course Details: Format: Remote Session (7 hours) CPC Hours: Yes Cost: £89.50 - Includes course fee, Driver CPC Upload fee, VAT This award-winning program (awarded the prestigious Education in Transport award at the 2017 National Courier Awards) is perfect for any fleet operator looking to: Meet FORS Gold accreditation requirements. Improve driver performance and fuel efficiency. Reduce their environmental footprint. Enhance corporate social responsibility. Please note that this course is delivered online and provides 7 hours of Driver CPC training. Ready to get started? Book online or feel free to contact our training department at training@totalcompliance.co.uk or call 0345 9001312 to register for this valuable course. Please review our Terms and Conditions for more information.

Level 5 Diploma (FREE QLS Endorsed Certificate) | 10 CPD Courses + 10 PDF Certificates | 140 CPD Points | CPD Accredited