2588 Courses in Cardiff delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Professionals desiring to develop meaning engagement strategies to better connect with leadership, peers, and clients. JOB ROLES: Personal Development Leader of Teams/Projects Leader of Managers/Departments Leader of Organizational Strategy Overview Develop better strategies in preparation and execution with audiences of all kinds Engage audience members more deeply and intently Optimize ability to prepare delivery, style, and transparency in sharing information Deliver your message with more clarity, purpose, and passion Create deeper meaning in who you are as a leader for others What?s the difference between good engagement and incredible engagement? How do you know when your audience, employees, or teammates are committed to everything you say and do? The answer is Authentic Engagement. When you notice amazing leaders, you will notice they possess all seven of these traits, regardless of whether they have been in the profession twenty years or twenty weeks. This course is the map toward shaping the next wave of leaders, regardless of style, audience, or modality! The question is: Are you ready to embark on your voyage? In this course, you will learn how to authentically engage others, build a more purposeful message that resonates, and learn the strategies to gain stronger engagement and input back from the people you work with. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. 1. The CYA Model of Preparation Preparing Your Content Learning the 4-Square to Holistic Content Delivery Getting Ready for the Seven C?s for Engagement Preparing for Yourself and Audience 2. Preparing Yourself and The Power of Your Delivery Understanding the Power of Delivery and Style Learning when to be Transparent in your Approach Understanding How You Shine Remotely vs. Face-to-Face Understanding Your Command Knowing What and When to Change Your Approach Building Better Efficacy and Confidence 3. Capturing, Building, and Connecting with the People You Engage Learning the Differences between Surface-Level Engagement and Deeper Connection Understanding the Four Levels of Audience to Build Relationships Developing Captivation Techniques with Engagement Establishing Clarity through Depth and Alignment Connecting Deeper and Establishing Trust 4. Going Beyond for Completeness Looking to the Future of Engagement, Technology, and Leadership Plotting Your Next Course for Delivery Using the Anchor Guide to Renew Your Approach Mapping the Next Steps Additional course details: Nexus Humans Mastering Meaningful Engagement 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 Mastering Meaningful Engagement 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.

Live online course with study materials and certificate of completion included Adobe After Effects is recognised as an essential tool for motion graphics and visual effects. Our introductory Adobe After Effects course is designed for those new to post-production techniques, and would like to get the most from this immensely powerful application. Whether you are a motion graphics designer, a web designer, rich media artist or broadcast video editor, this course covers all the techniques you need to successfully start using, or significantly improve your command over, Adobe After Effects. Description Completing this course will enable you to do the following and more: Become familiar with the After Effects workspace Create animations using keyframes Understand keyframe interpolation and velocity Work with the graph editor to fine tune animations Work with Solid, Text and Null layers Work with masks, mattes and track mattes Create Compositions Incorporate video with Photoshop and Illustrator. Use video layering with transfer and blending modes Use Motion Tracker and 3D Camera Tracker Apply and animate Effects Use Colour Correction / Glows + Curves Use filters for special effects Render your final project For the full course content please download the course information pdf listed above. Who is this course for? This workshop is suitable for anyone who wishes to learn Adobe Afer Effects from scratch or wants to improve their existing knowledge of the program. Requirements Attendees should have basic PC or Mac skills. You will need a broadband internet connection to participate in this live online course. Certificates Certificate of completion Digital certificate - Included

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

Leadership and Management development, Leadership training, management training, Leadership development

bi-monthly online group for supervisors of counsellors, psychotherapists or coaches who want a reflective space to discuss your supervision practice with other supervisors

Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.

P405 Managing Asbestos in Buildings is the industry standard qualification for those whose work involves asbestos management, such as duty holders and building managers. In addition to holding the qualification, they are required to undertake and provide evidence of annual refresher training. RP405 Refresher is a new course, specifically designed to meet this requirement. RP405 Refresher enables candidates to revise and update their knowledge on good asbestos management practices, and to receive a certificate of course completion by passing a written examination, which covers both the theory and practice of managing asbestos in buildings.

Establish a wellbeing-centric culture at your organisation using the latest research and best practices.

Join us for this exciting online event where you can gain a Level 4 Award in Understanding the External Quality Assurance of Assessment Processes and Practice. Whether you're new to the field or looking to enhance your skills, this event is perfect for you.

3ds Max and Vray Training 1-2-1