4764 Model courses delivered Online

This course primarily focuses on explaining the concepts of the Document Object Model through a project-based approach. It will help you enhance your coding skills using JavaScript along with a deeper understanding of the DOM fundamentals.

This course aims to provide a comprehensive understanding of renewable energy technologies, market forecasts, business models, financing structures, storage, and energy transition focus areas while addressing the challenges to the renewable energy business model. After the successful completion of the course, you will be able to learn about the following, Renewable energy technologies. Renewable energy market forecast. Renewable energy business model. Major financing structures. The optimum financing structure. Challenges to renewable energy business model. Renewable energy storage. Energy transition focus area.   Course Aim: The aim of this course is to provide a deep understanding of renewable energy technologies, market forecast, and business models. This course will also explore major financing structures and the optimum financing structure for renewable energy projects. Additionally, students will learn about the challenges associated with renewable energy business models and how to address them. The course will also cover renewable energy storage and its importance in the energy transition focus area. The aim of this course is to make students understand a comprehensive understanding of renewable energy technologies, business models, financing structures, storage solutions, and market trends, with a focus on energy transition as a key area of opportunity and growth. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Renewable Energy Business Development Model Self-paced pre-recorded learning content on this topic. Renewable Energy Business Development Model Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Renewable Energy Business Development Manager Renewable Energy Sales Manager Renewable Energy Project Manager Renewable Energy Market Analyst Renewable Energy Investment Analyst Renewable Energy Consultant Renewable Energy Business Analyst Renewable Energy Commercial Manager Renewable Energy Account Manager Renewable Energy Product Manager. Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

This interactive two hour workshop will use the social model of disability as a framework to demonstrate how understanding disability and embracing inclusivity can significantly benefit your business.

Overview In this course you will learn to build a financial model by working in Excel and how to perform sensitivity analysis in Excel. You will also learn the formulas, functions and types of financial analysis to be an Excel power user. By attending this course, you will be able to effectively prepare and build financial models. Objectives Harness Excel's tools within a best practice framework Add flexibility to their models through the use of switches and flexible lookups Work efficiently with large data volumes Model debt effectively Approach modelling for tax, debt, pensions and disposals with confidence Build flexible charts and sensitivity analysis to aid the presentation of results Learn and apply Excel tools useful in financial forecasting Understand and design the layout of a flexible model Forecast financial statements of a public or private company Apply scenario analysis to the forecasted financial statements and prepare charts for data presentation

Overview Perfecting the Hybrid Work Model Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Perfecting the Hybrid Work Model Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Section 01: The Essentials Introduction 00:04:00 Vision & Mission 00:02:00 Performance Measurement 00:05:00 Synchronous/Asynchronous 00:03:00 Categorising Work Tasks 00:04:00 Emerging Work Models 00:04:00 Implementing Hybrid Work 00:05:00 Section 02: Health and Well-being Introduction 00:04:00 Defining Wellness 00:03:00 Time Management 00:03:00 Burnout 00:08:00 Virtual Meeting Fatigue 00:04:00 Well-being Initiatives 00:06:00 Section 03: Hybrid Work Culture Introduction 00:03:00 Workplace Culture 00:05:00 Hybrid Team Building 00:05:00 Pulse Surveys 00:03:00 Proximity Bias 00:06:00 Psychological Safety 00:06:00 Section 04: Hybrid Communication Introduction 00:02:00 Communication Modes 00:05:00 Hybrid Meetings 00:04:00 Communication Best Practices 00:06:00 Hybrid Skills 00:08:00 Section 05: Hybrid Places and Technologies Introduction 00:03:00 The Future of the Office 00:09:00 Working From Home 00:07:00 Third Places 00:05:00 Hybrid Technologies 00:05:00

A one-day training for counsellors, nurses, managers and healthcare practitioners who want to learn how to set up and facilitate Reflective Practice groups. Reflective Practice is the cornerstone of professionalism in healthcare. It develops clinical skills, improves decision-making, enhances work satisfaction, and reduces burnout.

In this course, we'll build a one-page app using HTML, CSS, and JavaScript called the Game of Life. This course is a great way to practice programming in JavaScript by creating an interactive and dynamic application right in your browser. For this course, you need basic knowledge of HTML, CSS, and JavaScript programming skills.

The Future of Leadership: Introducing a New Leadership Model That Embraces Power skills, Diversity and Inclusion and Community Service Power Skills (EQ) are so important in a numbers and technology-driven world. Where technology, automation and AI has infiltrated all aspects of our personal and professional lives, power skills continue to not only be our differentiator but essential for us to learn, grow and connect. This session will focus on specific power skills of awareness, empathy and relationships which power our new leadership model, combined with diversity and inclusion presence. These skills can be put into practice in the professional, non-profit and educational space to allow the individual to move beyond the numbers and succeed in whatever we pursue. We will explore how these skills have become even more important during the pandemic, and the new future of work and learning. How Power Skills (EQ) have become more important and necessary in the new pandemic world and will continue to be necessary post pandemic. Why Power Skills will be needed throughout your career even more than ever due to the future of work Being a leader is not just about being diversity and inclusion aware, but now also conversant and opinionated Community service and giving back builds your power skills and diversity and inclusion leadership skills

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

Based on the principles of human movement science (i.e., biomechanics, kinesiology, exercise physiology) Uses an integrated approach to program design (i.e., combines all forms of exercise into one systematic and progressive system) Flexibility training Cardiorespiratory training Core training Balance training Plyometric training Speed, agility, and quickness training Resistance training