791 Courses in Cardiff delivered Live Online

Executive AI Coaching: Boost Your Leadership with Generative AI Unlock the power of AI for your business with personalised executive coaching. Paul Addicott-Evans, founder of AECS, offers bespoke 1-on-1 sessions to transform leaders into AI champions. Enhance productivity, drive innovation, and stay ahead in the AI revolution. 20+ years of tech and business expertise. Tailored for C-suite, senior leaders, and entrepreneurs. Elevate your leadership—master generative AI today!

1:1 Parent Support Sessions – Practical Help for Big Emotions Struggling with your child’s anxiety, mood swings, or big emotions? In this one-hour session (£50), get expert guidance to help your child feel calmer and more confident. We’ll focus on one or two key challenges and develop simple, effective strategies you can start using right away for a happier home. Book your session today!

Understand and mitigate your own personal drivers of conflict

Explore why people, groups, and states engage in conflict and why peace remains elusive. Dive into the causes of conflict, effective resolution strategies, and peacebuilding efforts worldwide. Learn how historical, cultural, and political factors shape disputes and discover insights into fostering lasting peace. #ConflictStudies #PeaceInitiatives #GlobalUnderstanding

Learn to use vulnerability to live an authentic and courageous life.

Applied Strategic Healthcare Leadership Course An ACHE-Accredited Executive Program | $1,200 USD Sharpen Your Strategic and Financial Leadership in Healthcare This highly interactive program is designed exclusively for executives and fellows of the American College of Healthcare Executives (ACHE) who are ready to elevate their strategic and financial decision-making capabilities through immersive simulation-based learning. Delivered over a series of six engaging Zoom sessions, the Applied Strategic Healthcare Leadership Course equips you with critical tools to drive performance in your healthcare organization while earning 12 ACHE continuing professional education credits. What Makes This Course Unique? Simulation-Based Learning: Leverage the industry-leading Healthcare Hero hospital management simulation, used in top-tier MHA and MBA programs globally. Team-Based Executive Challenge: Work in teams to manage a virtual hospital, facing real-world challenges and dynamic market forces. Experiential Learning: Make executive-level decisions across strategy, operations, and finance in a safe, competitive environment that mirrors the complexities of modern healthcare. Facilitated by Experts: Guided by experienced healthcare and simulation facilitators with deep knowledge of executive leadership and health system strategy. Course Format 6 x 2-hour Zoom sessions (12 contact hours total) The zoom sessions will run weekly from Saturday 11am-1pm Eastern, starting on April 5th Combines strategic and financial management lectures with 8 intensive simulation rounds Practice rounds to build confidence, followed by a competitive live game Final session includes a powerful executive debrief to help you apply insights directly to your organization Key Learning Outcomes By completing this program, you will: ✔ Apply advanced strategy frameworks tailored to healthcare ✔ Strengthen your financial leadership with healthcare-specific KPIs and analysis ✔ Improve team-based executive decision-making under real-world pressure ✔ Learn how to balance mission, margin, and market dynamics ✔ Take home actionable insights to drive performance improvement in your role Who Should Enroll This course is ideal for: ACHE members and fellows seeking executive-level simulation training Healthcare executives responsible for strategy, operations, or finance MHA/MBA graduates looking to sharpen applied skills Leaders preparing for expanded organizational responsibility Program Fee 💲 $1,200 USD (Includes full simulation access, live facilitation, team coaching, and all course materials.) Enroll Now About the Simulation Healthcare Hero is a highly acclaimed hospital management simulation designed to challenge participants with the real-world complexities of running a competitive healthcare system. Trusted by leading universities and executive education programs worldwide. Frequently Asked Questions 1. Who is this course designed for? This program is specifically designed for healthcare executives, ACHE members, and fellows who wish to enhance their strategic, financial, and leadership capabilities through applied learning. It’s also ideal for senior managers preparing for executive roles. 2. How does the Healthcare Hero simulation work? Healthcare Hero is an interactive, web-based hospital management simulation. Working in teams, you will make key decisions across hospital strategy, operations, and finance, while competing against other teams in a dynamic, simulated healthcare market. No prior simulation experience is required—full guidance will be provided. 3. How much time will I need to commit? The program consists of 6 x 2-hour Zoom sessions (12 hours total), spread over several weeks. Between sessions, you may wish to review materials or discuss strategies with your team, but no additional time commitment is required. 4. What topics will be covered? You will explore critical areas such as healthcare strategy, financial management, team leadership, and decision-making under pressure. The course blends applied simulation rounds with lectures on strategic management and financial leadership in healthcare. 5. Will I earn ACHE continuing professional education (CPE) credits? Yes, this program is eligible for 12 ACHE-approved CPE credits, contributing toward your ongoing professional development. 6. Do I need prior experience with simulations? No simulation experience is needed. The first sessions include practice rounds and onboarding to help you get comfortable with the platform and decision-making process. 7. How will teams be formed? Participants will be assigned to teams during the first session to encourage collaboration, peer learning, and networking. Team performance will be key to success in the simulation. 8. What’s included in the course fee? Your $1,200 USD fee includes access to the Healthcare Hero simulation, live facilitation, course materials, team coaching, and participation in all Zoom sessions. 9. Is there a certificate of completion? Yes, participants will receive a certificate of completion after finishing the course and simulation rounds. This can be used to demonstrate CPE credits to ACHE. 10. Can I cancel or transfer my registration? Cancellations are allowed up to 14 days before the course start date for a full refund. Transfers to a future cohort are available subject to availability. Please contact us directly to process cancellations or transfers.

This training day will help managers explore what they need to do to create a motivating environment at work and learn some theory, tools and ideas to inspire motivation at individual and team level. Motivation is a key factor in effective people management and successful team performance. It involves engaging and inspiring your people and developing them in such ways as to improve their effectiveness and thus have a greater benefit to customers. It can also involve having tough conversations with those who do not seem to be motivated. By the end of the workshop participants will be able to: Identify key motivating factors at work and learn and create ideas to better engage staff Learn a conversation tool to use for challenging discussions Explain their role in motivating staff and understand a range of techniques and approaches to use in the workplace Review learning and have an action plan to take back and implement at work 1 Welcome, housekeeping, objectives Breaking the ice Setting personal objectives 2 Group work: identifying personal motivators and where they come from 3 Defining motivation The characteristics of a motivated team Input and group discussion 4 Factors impacting on motivation at work Using pre-work to identify challenges, hotspots and obstacles Feedback in plenary Exploring the benefits of motivation that address current challenges and agreeing outcomes for change 5 Commitment vs. compliance - organisational engagement and the manager's approach to buy in 6 Team challenge task using a theory about motivation Trainer input and review in plenary 7 Group task - complete a plan for individuals identified in pre-workshop task 8 Skill / will - a motivation tool: trainer input, followed by tasks that are assessed and discussed in peer groups 1-2-1 feedback task on approaches and plans to be taken back and used at work Feedback and plenary review 9 DEAL - a conversation tool: how to construct a conversation plan about motivation with an individual Peer professional 1-2-1s to practice the discussion planned and gain feedback 10 Review, evaluation and action planning

Learn a balanced approached to celebrating wins and setting goals.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

"Listening to the Child" - a powerful, online talk by Margaret Dillane, a parenting expert and Senior Montessori leader. Open to all parents, grandparents, uncles and aunties, or anyone with an interest in, or responsibility for, parenting.