1729 AI courses in Cardiff delivered Live Online

Customer service is an organisation's ability to supply its customers' wants and needs. Improved customer service means constantly and consistently exceeding customers' expectations. This course is designed for service industry professionals who aim to maximise their efficiency, develop better customer skills, and increase their value. The focus is on increasing repeat business through customer satisfaction and referrals. Delegates will discover greater levels of productivity, job satisfaction, and potential for advancement. For client-facing service personnel, these areas of development will prove particularly beneficial, leading to increased internal and external customer satisfaction. Throughout the course, delegates will learn how to: Project a UB4me, customer-centred attitude Empower people with respect and control by acknowledging and offering choices Understand customers better and develop emotionally-intelligent methods for managing their fears and reactions Listen more intently to develop the best rapport Communicate clearly with conviction, projecting greater credibility Create positive, diplomatic messages even from negative situations, modelling a problem-solving, can-do attitude Create and refine phone-answering and email templates to appropriately address customer concerns and increase the potential for repeat business This Customer Service Skills course is a 4-hour interactive virtual class for up to 20 delegates. Upon registration, delegates will receive online login instructions prior to the class date. This format allows for a collaborative learning experience from the comfort of one's own home or office.

This course will show delegates how to appraise projects in Excel, incorporate and communicate updates as they happen and ultimately understand how to convert an opportunistic property investment into a core asset that can be sold on.

Feeling overwhelmed by multiple tasks? Ready to enhance your product management strategy with AI technology? It’s time to meet your new AI partner! Our course, “Unlocking the Power of AI,” will demonstrate how cutting-edge tools like Generative Pre-trained Transformers (GPTs) can simplify your workflow and bolster your decision-making process. In modern-day fast paced commercial enterprise world, adaptability is vital for success. As a product manager, you oversee the entire product lifecycle—from concept to launch and beyond. With Certified Product Management techniques, you can navigate changing market dynamics, prioritize features efficiently, and deliver value to customers quickly. However, agility alone isn’t sufficient. To excel in your role, embrace the potential of AI. By integrating AI into your practices, you can automate tasks, analyze data effortlessly, and make informed decisions. Picture having a virtual assistant capable of analyzing data and predicting market trends. With AI as your ally, you can focus on engaging customers, innovating, and strategic planning. Don’t hesitate. Embrace the future of product management now. Join us on this journey to unlock the full potential of AI, revolutionizing your workflow and achieving your goals faster than ever before. What You'll Learn (in just 3 hours!) AI 101 for Product Managers We'll break down the buzzwords and get you up to speed on how AI (especially those clever GPTs) can transform your work life. Market Research Master Think of your new AI pal as a super-powered market researcher. Learn how to analyze competitor data, customer feedback, and trends faster than you can say "pivot!" AI-Powered Strategy Say goodbye to gut feelings and hello to data-driven insights. Discover how AI helps you strategize, prioritize features, and build roadmaps that will make your product shine. Hands-on Workshop Dive into real-world scenarios and use GPT tools to tackle market analysis, craft user stories, and nail down your product roadmap. Ethics in the AI Age We'll explore responsible AI use and make sure you understand the potential pitfalls. Because with great power comes great responsibility! Our AI + Your Workflow = Dream Team We'll cover how to access our Product Management tool, how to use it effectively and fit it seamlessly into your existing processes. The future of Product Management is here, don’t get left behind. This course is perfect for Product managers and owners are essential drivers of product success, constantly challenged to balance priorities, navigate complex decisions, and foster innovation in competitive markets. With technology advancing rapidly and consumer preferences evolving, staying ahead can be daunting. Our training programs offer a solution. Designed for product managers and owners, they equip you with the tools, insights, and strategies to enhance productivity, make informed decisions, and ignite innovation. Our courses empower you to navigate modern challenges successfully. Whether you seek to refine strategic planning, optimize product development, or enhance customer engagement, our tailored programs cater to your needs. Join us on a journey to unlock your full potential and propel your career to new heights as a product manager or owner. The Takeaway Empowerment: Leave this workshop feeling empowered, armed with a potent toolkit for achieving product success. AI in Product Management: Recognize that AI is the future of product management, and this course will equip you to leverage its potential effectively. Leadership Position: Position yourself as a leader in product management by embracing AI and staying ahead of industry trends. Innovation: Embrace innovation and drive change within your organization with the insights gained from this course. Confidence: Approach the future with confidence, knowing that you have the skills and knowledge to navigate the evolving landscape of product management.

1-2-1 bespoke training course

The two-day Adult MHFAider® courses are tailored around supporting adults, and can be attended by anyone from age 16 upwards. A lot of the education settings we work with have now trained a number of Adult MHFAider®’s to support their colleagues as part of their whole-school/college approach to mental health and wellbeing.

Mercer’s Financial Education Clinic – Helping You Plan for the Future We are excited to invite you to Mercer’s Financial Education Clinic, a group session designed to help you take control of your financial future. This session will provide expert guidance on key financial topics, equipping you with the knowledge to make informed decisions about your finances. What Will Be Covered? During this session, we will explore: Financial challenges that women may face throughout their lives Pension gaps and the financial impact of career breaks or part-time work Broader financial disparities experienced by women How we can all build awareness and contribute to financial equity Although this session is titled Female Finance, it is open to all employees and aims to raise awareness and understanding of these important financial topics. This interactive session will provide the opportunity to ask questions and gain insights into how to navigate and support financial well-being across different life circumstances. We encourage all employees to attend and take advantage of this valuable financial education opportunity. Session Details: Date: 15th July 2025 Time: 11:00 a.m. – 12:00 p.m. Location: Virtual

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

Why Learn Sketchup and Stable Diffusion Rendering Course? Course Link SketchUp and Stable Diffusion Rendering Course. An AI image creation course designed to explore AI image creation techniques and master the use of advanced AI technology. You'll learn Ai 3D modeling, advanced rendering, and lighting techniques. Duration: 16 hrs. Method: 1-on-1 Online Over Zoom is also available. 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. The Sketchup and Stable Diffusion Rendering Course equips students with comprehensive skills for visually stunning Ai (Artificial intelligence) 3D models and renderings. Master Sketchup's user-friendly interface, advanced rendering techniques, and stable diffusion rendering. Hands-on exercises and real-world projects enhance learning. Ideal for architecture, interior design, product development, and visualization careers. The Sketchup and Stable Diffusion Rendering Course equips students with comprehensive skills for visually stunning Ai (Artificial intelligence) 3D models and renderings. Master Sketchup's user-friendly interface, advanced rendering techniques, and stable diffusion rendering. Hands-on exercises and real-world projects enhance learning. Ideal for architecture, interior design, product development, and visualization careers. Sketchup and Stable Diffusion Rendering Course (16 hours) Module 1: Introduction to Sketchup (2 hours) Overview of Sketchup software and interface navigation Basic drawing tools and geometry creation techniques Module 2: Texturing and Materials (2 hours) Applying textures and customizing materials Exploring texture mapping and material libraries Module 3: Lighting and Shadows (2 hours) Understanding lighting principles and light placement Creating realistic shadows and reflections Module 4: Advanced Modeling Techniques (3 hours) Creating complex shapes and utilizing advanced tools Working with groups, components, and modifiers Module 5: Stable Diffusion Rendering (2 hours) Introduction to stable diffusion rendering Configuring rendering settings for optimal results Module 6: Scene Composition and Camera Setup (2 hours) Exploring composition principles and camera perspectives Managing scenes and creating walkthrough animations Module 7: Rendering Optimization (2 hours) Optimizing models for faster rendering Using render passes and post-processing techniques Module 8: Project Work and Portfolio Development (1 hour) Applying skills to complete a real-world project Showcasing work in a professional portfolio Optional: Installing Stable Diffusion and Python (Additional 10 hours) Module 1: Introduction to Stable Diffusion and Python Overview of Stable Diffusion and Python's significance Module 2: System Requirements Hardware and software prerequisites for installation Module 3: Installing Python Step-by-step installation process for different OS Module 4: Configuring Python Environment Setting up environment variables and package managers Module 5: Installing Stable Diffusion Downloading and installing the Stable Diffusion package Module 6: Setting Up Development Environment Configuring IDEs for Python and Stable Diffusion Module 7: Troubleshooting and Common Issues Identifying and resolving common installation errors Module 8: Best Practices and Recommendations Managing Python and Stable Diffusion installations Module 9: Practical Examples and Projects Hands-on exercises demonstrating usage of Stable Diffusion and Python Module 10: Advanced Topics (Optional) Exploring advanced features and techniques Stable Diffusion UI v2 | A simple 1-click way to install and use https://stable-diffusion-ui.github.io A simple 1-click way to install and use Stable Diffusion on your own computer. ... Get started by downloading the software and running the simple installer. Learning Outcomes: Upon completing the Sketchup and Stable Diffusion Rendering Course, with a focus on AI image rendering, participants will: Master AI Image Rendering: Gain expertise in using AI-powered rendering techniques to create realistic and high-quality visualizations. Utilize Sketchup for 3D Modeling: Navigate the software, proficiently use drawing tools, and create detailed 3D models. Optimize Renderings: Apply AI-based rendering to optimize model visuals, achieving faster rendering times and superior image quality. Implement AI-driven Lighting and Shadows: Utilize AI algorithms for lighting placement, shadows, and reflections, enhancing realism in renderings. Create Professional Portfolio: Showcase AI-rendered projects in a professional portfolio, highlighting advanced image rendering skills. Note: The course focuses on AI image rendering using Sketchup and Stable Diffusion techniques, empowering participants with cutting-edge skills for creating exceptional visual representations.

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

This Level 4 course aims to equip professionals with the knowledge about the skills and practical behaviours which are required for them to step into a leadership/management role. The demand for management roles is expected to grow in the coming years. This is due to a number of factors, including: The ageing population, which is leading to a shortage of skilled workers. The increasing complexity of businesses requires more managers to oversee operations. The growing importance of technology is creating new opportunities for managers to lead and innovate.