2892 Learning courses in Belfast delivered Live Online

MJ Electrical Training offers a one-day online course for a Health & Safety Exemption, which can be used when applying for an ECS Labourers card. ECS (Electrotechnical Certification Scheme) is a card scheme for electrotechnical operatives in the UK. The ECS Labourer card is designed for those working in a supporting role within the electrotechnical industry.

MJ Electrical Training offers a one-day online course for a Health & Safety Exemption, which can be used when applying for an ECS Labourers card. ECS (Electrotechnical Certification Scheme) is a card scheme for electrotechnical operatives in the UK. The ECS Labourer card is designed for those working in a supporting role within the electrotechnical industry.

This is a practical and immersive course for people managers which provides you with the skills, knowledge, and confidence to have effective conversations with staff about mental health and wellbeing.

Since the Pandemic people have been experiencing more stress, anxiety and depression and with this comes the loss of compassion shown for self and others while we attempt to make sense of what is happening and how we will adapt to the changes outside of our control. In this course we will discuss what Compassion and Empathy is, how to build and maintain compassion in times of change and uncertainty. This course has been created for anyone who works in the health and care sector / finance / retail / hospitality etc. and who works with clients / customers.

Why choose SketchUp Training Course for Interior Designers and Architects? Course info During this training course, you will begin with an introduction to SketchUp, exploring its interface, fundamental concepts, including design tools, component, color and texture, and importing from 3D Warehouse related to interior design. Duration: 6 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. Advantages of SketchUp: Intuitive and Fast: Compared to other 3D modeling software, SketchUp is simple, fast, and easy to use. Quick Learning Curve: Within a few hours, users can create simple models and get started with SketchUp. Efficient Modeling: SketchUp allows for the creation of models with fewer faces, optimizing performance. Versatility: Its non-parametric modeling principle makes SketchUp suitable for various applications. Rich Component Library: Access a vast collection of free components in the 3D Warehouse. Extensive Plugins: Benefit from numerous free plugins. Interior Designers' SketchUp Training Course Course Duration: 6 hours I. Introduction to SketchUp (1 hour) Overview of SketchUp for interior design Familiarization with the interface and essential tools Navigating the 3D environment efficiently Project creation and management II. Creating Floor Plans (1 hour) Importing and drawing floor plans accurately Wall, window, and door precision Effective floor level management Organizing designs with Layers and Scenes III. Furniture and Fixtures (2 hours) Accessing 3D Warehouse for furniture and fixtures Crafting custom elements for unique designs Strategic arrangement within the space Materials and textures customization IV. Advanced Modeling (1 hour) Utilizing advanced tools for intricate 3D models Organizing models with groups and components Adding details and finishes for high-quality design V. 3D Visualization (1 hour) Creating immersive 3D models Applying textures to walls, floors, ceilings Mastering rendering for realistic presentations VI. Importing and Exporting (30 minutes) Seamless collaboration with other software File formats and compatibility understanding Preparing models for 3D printing VII. Conclusion and Next Steps (30 minutes) Comprehensive review and key takeaways Further learning resources and improvement avenues Interactive Q&A and feedback collection SketchUp - SketchUp trial https://www.sketchup.com Unlock Your Design's Full Potential With SketchUp's Powerful 3D Software. VR Model Viewing. Free Trial Available. Secure Payment Options. Types: SketchUp Go, SketchUp Pro.

We offer both 1:1 and Small group test prep. We tailor the package to fit the students needs. We take the time to get to know each student, their goals, personality, and learning style to make sure we find the best fit tutor to help them maximize their scores.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for managers and supervisors engaged in working with the Millennial generation workforce. Overview Upon successful completion of this course, participants will be able to define onboarding, discuss the characteristics of Millennials, and develop action plans for working with them. In this course, participants will learn to build an onboarding process that recognizes the challenges and strengths of the Millennial workforce. Getting Started Workshop Objectives Action Plan Purpose of Onboarding Start Up Costs Employee Anxiety Employee Turnover Realistic Expectations Practical Illustration Introduction Why Onboarding? Importance of Onboarding Making Employees Feel Welcome First Day Checklist Practical Illustration Millennials and Onboarding Who are Millennials? How Do Millennials Differ from Other Workers? Investiture Socialization ? Let Them Be Themselves! Informal Rather than Formal Onboarding Processes Practical Illustration Onboarding Checklist Pre-Arrival Arrival First Day First Week First Month Practical Illustration Engaging the Millennial Employee Create an Informal Program Engage Employees One-on-one The Role of Human Resources The Role of Managers Practical Illustration Following Up with the Millennial Employee Initial Check-In ? One-on-one Following up ? Regular, Informal Follow Ups Setting Schedules ? Millennials and Work-Life Mentoring and the Millennial Practical Illustration Setting Expectations with the Millennial Employee Define Requirements ? Provide Specific Instructions Identify Opportunities for Improvement and Growth Set Verbal Expectations Put It in Writing Practical Illustration Mentoring the Millennial Be Hands-On and Involved Serial Mentoring Be a Mentor, Not an Authority Figure Focus Millennia?s Exploratory Drive on Work Practical Illustration Assigning Work to the Millennial Employee Provide Clear Structure and Guidelines Provide Specific Benchmarks Set Boundaries and Provide Reality Checks Practical Illustration Providing Feedback Millennials Thrive on Feedback! Characteristics of Quality Feedback Informal Feedback Formal Feedback Practical Illustration Wrapping Up Words From the Wise Additional course details: Nexus Humans Millennial Onboarding 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 Millennial Onboarding 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.

Course Description:These two days are dedicated to nurses and other allied healthcare professionals (AHPs) who are either new to or revisiting the realm of minor illness assessment and treatment. The course progression is designed to take you from foundational knowledge to more confident and adept management of patients, encompassing both adults and children.Course Details:Day One:- 09:15 AM: Coffee and registration- 09:30 AM: Introduction and course objectives- 09:40 AM: What constitutes a 'Good Consultation?'- 10:00 AM: Fever and Flu Like Illness- 10:45 AM: Coffee break- 11:00 AM: Respiratory Tract Infections (including breath sounds)- 13:00 PM: Lunch break- 14:00 PM: Case Studies- 14:30 PM: Urinary Tract Infections (UTIs)- 14:30 PM: Ears, Nose, and Throat conditions- 15:00 PM: Abdominal Pain- 15:30 PM: Action plan, evaluation, and resources- 15:45 PM: CloseDay Two:- 09:15 AM: Coffee and registration- 09:30 AM: Review of work from day 1 - any feedback/questions?- 09:45 AM: Head, Neck, and Back Pain- 10:30 AM: Eye Infections- 10:45 AM: Coffee break- 11:00 AM: Mental Health (low mood)- 13:00 PM: Lunch break- 13:45 PM: Rashes- 14:30 PM: Minor Injuries- 16:00 PM: Case Studies, Action plan, evaluation, and resources - next steps?- 16:15 PM: CloseLearning Outcomes:- How to conduct an effective consultation.- Enhanced understanding of diagnosing and treating specific minor illnesses.- Expanded knowledge of medicine management, including when and what to prescribe.- Understanding when to initiate tests for better illness management.- Ability to discuss the patient's options and proposed management plan effectively.- Knowing when to refer a patient to another health professional.- Encouraging discussions about relevant practice problems and their solutions.- Appreciating the importance of ongoing professional development.

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.

As the awareness of ADHD increases, more and more people are being diagnosed, or suspect they have ADHD. This workshop provides educators with an overview of what ADHD is, the challenges that people with ADHD face and strategies to help with learning and work.