43714 Courses

The Lone Worker Safety & Protection course is designed to provide essential knowledge and skills for individuals who work alone or in isolated environments. Participants will learn about the laws and regulations related to lone working, conduct risk assessments, implement safe working systems, handle conflict situations, and ensure their physical and mental well-being. Additionally, the course covers first aid and workplace safety measures for lone workers. Learning Outcomes: Understand the principles and importance of lone worker safety in various work settings. Familiarize with the relevant laws and regulations pertaining to lone working and safety requirements. Conduct effective risk assessments to identify potential hazards and develop appropriate control measures. Implement safe working systems and protocols to minimize risks and ensure the well-being of lone workers. Learn conflict avoidance techniques and resolution strategies to handle challenging situations. Develop skills for reporting and recording incidents accurately and promptly. Promote physical and mental well-being among lone workers, including stress management and self-care practices. Gain knowledge of first aid techniques and workplace safety measures tailored for lone workers. Why buy this Lone Worker Safety & Protection? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Lone Worker Safety & Protection there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Individuals working in occupations that involve solo or isolated tasks, such as delivery drivers, security guards, or remote workers. Employers and managers responsible for the safety of lone workers in their organization. Health and safety professionals seeking to enhance their expertise in lone worker safety. Anyone interested in understanding the challenges and safety considerations of lone working. Prerequisites This Lone Worker Safety & Protection does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Lone Worker Safety & Protection was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Health and Safety Officer: Specialize in ensuring the safety of workers, including lone workers, within organizations. Security Manager: Oversee security protocols and measures for lone workers and the broader workforce. Occupational Health Specialist: Focus on promoting well-being and safety in various work environments, including lone working settings. Risk Assessment Specialist: Conduct risk assessments and develop safety strategies for lone worker protection. Health and Safety Consultant: Provide expert advice on lone worker safety and compliance to different businesses. Course Curriculum Module 01: Basics of Lone Working Basics of Lone Working 00:17:00 Module 02: Lone Worker's Safety Laws Lone Worker's Safety Laws 00:22:00 Module 03: Risk Assessment Risk Assessment 00:22:00 Module 04: Safe Working System for Lone Working Safe Working System for Lone Working 00:23:00 Module 05: Conflict Avoidance and Resolution Conflict Avoidance and Resolution 00:20:00 Module 06: Reporting and Recording Incidents Reporting and Recording Incidents 00:18:00 Module 07: Physical and Mental Well-being Physical and Mental Well-being 00:19:00 Module 08: First Aid and Workplace Safety for Lone Workers First Aid and Workplace Safety for Lone Workers 00:11:00 Assignment Assignment - Lone Worker Safety & Protection 00:00:00

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Duration 1 Days 6 CPD hours This course is intended for This course is primarily designed for business leaders, consultants, product and project managers, and other decision makers who are interested in unlocking new business opportunities and augmenting existing business processes using generative AI. It's also a great starting point for any business professionals who want to investigate generative AI solutions for their own individual tasks and workflows. This course is also designed to assist students in preparing for the CertNexus GenAIBIZ (Exam GAZ-110) credential. Overview In this course, you will identify ways in which generative AI can bring significant value to the organization. You will: Describe the fundamentals of AI and generative AI. Generate text using AI. Generate code using AI. Generate images and video using AI. Generate audio using AI. Identify the challenges of generative AI. Implement organizational strategies for generative AI. This course is designed to demystify generative AI for business professionals, as well as to trace its power to actionable, real-world business goals. It will give you the essential knowledge of generative AI you'll need to elevate the organization in these exciting times. GenAIBIZÿoffers business professionals with the ability to describe the fundamentals of AI and generative AI; generate text, code, images, video, and audio using generative AI; identify the challenges of generative AI; and implement organizational strategies for generative AI. Exam voucher is included.This course may earn you a Credly badge. Lesson 1: AI Fundamentals Topic A: AI Concepts Topic B: Generative AI Concepts Lesson 2: Generating Text Using AI Topic A: Identify Text Generation Concepts Topic B: Solve Business Problems Using Text Generation Lesson 3: Generating Code Using AI Topic A: Identify Code Generation Concepts Topic B: Solve Business Problems Using Code Generation Lesson 4: Generating Images and Video Using AI Topic A: Identify Image and Video Generation Concepts Topic B: Solve Business Problems Using Image and Video Generation Lesson 5: Generating Audio Using AI Topic A: Identify Audio Generation Concepts Topic B: Solve Business Problems Using Audio Generation Lesson 6: Identifying Challenges of Generative AI Topic A: Identify Shortcomings of Generative AI Topic B: Identify Ethical Risks of Generative AI Topic C: Identify Business Concerns of Generative AI Lesson 7: Implementing Business Strategies for Generative AI Topic A: Apply Best Practices for Generative AI in the Organization Topic B: Evaluate the Results of Generative AI Projects

This course is suitable for operatives required to Work at Height, providing a sound foundation on the requirements of the Work at Height Regulations 2005 in conjunction with a basic understanding of the types of fall protection systems and equipment available, its use, its limitations and unsafe practices. Suitable for individuals working around but not directly Working at Height. It allows the delegate to identify a working at height area and understand the procedures and regulations that control it. Book via our website @ ESS | Working at Height Module 1 - Safe Work at Height Awareness | Vp ESS (vp-ess.com) or via email at: esstrainingsales@vpplc.com or phone on: 0800 000 346

The customer journey is changing faster than ever before. Can you keep up? Our brand-new Search Marketing course is here to get you ready – with the chance to learn directly from top SEO expert Neil Patel and his team. Course Overview The customer journey is changing faster than ever before. Can you keep up? Our brand-new Search Marketing course is here to get you ready – with the chance to learn directly from top SEO expert Neil Patel and his team. Did you know that search marketing is currently one of the most in-demand roles? And that growth isn’t going to stop anytime soon. Develop true Search Marketing expertise for where search is now and where it’s going Program learning outcomes and content: What Will I Learn? Develop the skills to work in search right now. Learn about search engine optimization, paid search, and digital display advertising, along with the latest platforms including Google Ads, Microsoft Ads (Bing Ads), and Google Analytics 4. Study using a dynamic mix of interactive lessons, videos, and downloadable tools, along with live sessions on the latest trends and channels. You’ll be awarded with a DMI search marketing certification that’s recognized globally, along with a completion badge from Neil Patel. Course Content: Introduction to Search Marketing: Being found in the right place at the right time may look effortless but it’s an art. You’re going to need lots of key concepts, tools and tricks. Explore how the core search elements work together to drive targeted traffic that converts into sales. • Search Marketing • SEO & Paid Search principles • Demand generation • Analytics & reporting • Data visualization SEO Setup & Content: The search engine can feel all seeing, all knowing but it can be won over. SEO is the way to come out on top. Understanding the algorithms and ranking factors puts you in the driver’s seat. But that’s not all. What does it take to really engage people? Content that speaks to them. Find out what your audiences are looking for, create the content they care about, and then serve it to them where they are. The key to a big, visionary content strategy that works. • Setting SEO objectives • Keyword research • Creating content • On-page optimization • Content scheduling Optimizing SEO: Everyone wants to get their website in front of more people. The right people. That’s where search engine optimization comes in. There’s a lot to get a handle on with SEO, all working together to make your content more visible. Pick the quick wins, gather momentum, or optimize for a better return-on-investment. • SEO for eCommerce • Backlinking for authority • Local & international optimization • Off-page optimization Paid Search Fundamentals: So you know how to grow those organic searches and it’s going well. But you want to succeed faster. Cut right to the chase with paid search. Learn the fundamentals of PPC advertising and how it can work to promote your business. • Paid search concepts • Ads & landing pages • Keywords • Creating a paid search campaign Paid Search Campaigns: Now that you know the basics, it’s time to start running your campaigns. Use PPC advertising to boost your visibility. Discover how to measure and optimize your campaigns to get the best out of every single click. • Managing the campaign budget • Optimizing campaigns • Reporting on paid search Demand Generation: Capture interest wherever people are in their journey. Whether they’re a first time visitor, just getting to know you or coming back again and again. Demand generation gives you the tactics to drive awareness and long-term engagement. Sure, it takes time but it’s worth the payoff. • Demand generation campaigns • Outbound channels & ad formats • Campaign targeting & bidding • Optimizing your campaign • Involving display & video advertising Search Analytics: Search analytics can feel a bit like having a superpower. There’s so much you can know about what your target market is doing, what they want, how they speak. All of this data is at your fingertips, you just need to know how to use it. So let’s dive in. Plus with the shift to Google Analytics 4 daunting many businesses, we’ll get you set for success on the new interface. • Analytics fundamentals • Monitoring campaigns • Introduction to GA4 • Configuring Google Analytics • Conversion rate optimization Data& Data Visualization: Data gives us so many new insights and opportunities to work with. But we’re always looking for ways to make data more engaging, especially in a digital world where we have so much of it. Tell the story of what you’ve discovered with data visualization. It helps to communicate more effectively and bring everyone along for the journey. • Turning data into actions • Ways of visualizing data • Forecasting search performance Search Strategy - Research & Planning: So you have tools, techniques, and practiced skills. You’ve learned all of the stepping stones behind making search work hard. Now is your chance to get an action plan together. A strategic, focused plan that really delivers. One backed up by research and structured by set objectives. • Planning a search strategy • Research for search campaigns • Setting objectives for search Search Strategy 2 - Execution & Optimization It’s time to put everything you’ve learned into practice with a high-performing search marketing strategy. You have the skills, you’ve done the research, your action plan is prepared. Let’s execute the strategy and make it a reality. Exciting, isn’t it? • Omnichannel search approach • Adapting to change • Evaluating search strategies • Long term performance DURATION 8-10 Weeks WHATS INCLUDED Course Material Case Study Experienced Lecturer Refreshments Certificate

The objective of the Level 7 Diploma in Education Management and Leadership qualification (accredited by OTHM) is to develop learners' understanding of: Policy, Management Theory and Practice in Education. The main objective of studying Level 7 Diploma in Education Management and Leadership is that: It provides learners with an opportunity to engage with the Challenges facing professionals and policy makers in their own country. It will provide you with the knowledge that underpins the ability to work as an effective manager in the education sector. This course combines both theoretical and practical knowledge in the education profession and will develop and enhance your knowledge and skills in the areas of Leading Change, Effective Performance and Team Leadership. Learners will be able to work in a variety of roles within Education Administration and/or Management. Key Highlights Program Duration: 9 Months (Can be Fast tracked) Program Credits: 120 credits Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Master's degree programme. LSBR Alumni Status No Cost EMI Option This Diploma in Education Management and Leadership - Level 7 programme will provide you with the knowledge and skills required by a middle or senior manager in Education sector to understand the Policy, Management Theory and Practice in Education. It will also provides you with an opportunity to engage with the challenges facing professionals and policy makers in education sector as well as provide you with the knowledge that underpins the ability to work as an effective manager in the education sector. You will be able to work in a variety of roles within Education Administration and/or Management in an Education sector. Upon successful completion of the programme, you will also become eligible to gain direct entry into relevant Master's degree programme. Mandatory units (Total Credits: 120) The OTHM Level 7 Diploma in Education Management and Leadership qualification consists of 6 mandatory units for a combined total of 120 credits Contemporary Issues in Education: Theory, Policy and Practice (20 credits) The Management of Educational Change (20 credits) Managing Effective Intercultural Communication and Perspectives (20 credits) Pedagogy and Practice in Education (20 credits) Leading Reflective Practice in Education (20 credits) Research Methods in Education (20 credits) Who is this course for? Working Professionals Level 6 / Year 3 of a three-year UK Bachelor's degree holders or learners who are looking for Career Progression. A formal Postgraduate qualification leading to award of degrees in future. Requirements For entry onto the Level 7 Diploma in Education Management and Leadership qualification, learners must possess an honours degree in related subject or UK level 6 diploma or an equivalent overseas qualification. Learner must be 18 years or older at the beginning of the course. No formal qualification is required from mature learners (over 21 years) who have relevant management experience. Please speak to the Admission Counselors for waiver information. Career path Become eligible to gain direct entry into relevant Master's degree programme after completion of your Level 7 Diploma in Education Management and Leadership. Completion of your qualification will meet the University standard academic entry requirements. However, each applicant will be subject to individual assessment and other entry requirements which may affect university entry.

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

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).