13842 AI courses in Cardiff delivered Online

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Business Leaders, including managers/supervisors in the following roles: Developer Architect Video Operator Overview In this course, you will learn to: Articulate the essential terms and concepts fundamental to video compression and distribution Describe the four fundamental stages of video streaming workflows: ingest, process, store and deliver Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows Analyze video streaming workflow diagrams using AWS services, based on simple to complex use cases Describe some of the key variables that influence workflow decisions Recognize how other AWS services for compliance, storage, and compute, interact with AWS Media Services in video streaming workflows and the functions they perform Describe strategies to test or prototype workflows to mitigate risk and cost impacts and optimize video streaming workflows Use the AWS Management Console to build and run simple video streaming workflows for live and video-on-demand content Recognize the automation and data analytics available for Media Services when used with AWS AI and explore media-specific use cases for these services Identify the next steps in exploring migration to the cloud for one or more Media Services This course covers the media and cloud fundamentals that will empower you to develop a cloud migration strategy for media workflows in support of business goals. The course covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services. It also introduces security, artificial intelligence, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy. Module 1: Important video concepts Video Metrics Video Compression Video Distribution Major Protocols Used in Video Streaming Module 2: Anatomy of streaming workflows Ingest Process Store Deliver Module 3: Using AWS services in media workflows video-on-demand (VOD) Introduction to AWS Media Services Security Variables Impacting Workflow Design VOD Simple Use Cases VOD Advanced Use Cases Lab 1: Build and run a simple video streaming workflow for VOD content Module 4: Using AWS services in media workflows live streaming Challenges of Live Streaming Live Streaming Simple Use Cases Live Streaming Advanced Use Cases Lab 2: Build and run a simple video streaming workflow for live content Module 5: Optimizing Workflows Cost Considerations Mitigating Risk Monitoring and Automation Exploring Migration Options Additional course details: Nexus Humans AWS Media Essentials for IT Business Decision Makers 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 AWS Media Essentials for IT Business Decision Makers 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.

The two-day Youth MHFAider® course is tailored for people who teach, work, live with, support and care for young people aged 8 to 18. This mental health first aid course can be attended by anyone from age 16 upwards.

Supporting your team - a manager's guide Facilitated by Claire Warner Charity Culture, Wellbeing & Leadership Specialist Aimed at managers | heads of | directors working in fundraising and marcomms leadership roles in UK hospices Please only sign up for this session if you have line management responsibility - - - Managing a team of fundraisers isn’t just about hitting targets - it’s about keeping your people motivated, engaged, and well-supported. Hospice fundraising comes with unique pressures, and as a manager, you play a crucial role in helping your team navigate them. This practical, interactive workshop will help you: ✅ Recognise the early signs of stress and burnout in your team ✅ Create a culture of support, resilience, and psychological safety ✅ Implement strategies to balance high performance with team wellbeing With real-life examples, discussion, and actionable takeaways, you’ll leave with the tools and confidence to be a stronger, more effective leader for your fundraisers. - - - Claire Warner (she/her) is a Charity Culture, Wellbeing & Leadership Specialist. Before developing this specialism, Claire had 19 years working in the charity sector, including 10 years in Director / Senior Leader roles. But it was a period of significant unwellbeing (breast cancer) that led Claire to the career change. And it was in conducting a large piece of research into sector wellbeing, that Claire recognised this significant gap in provision and went on to create Lift. In 2020, Claire won the Best Digital Leader Award at the Social CEO Awards for her wellbeing work during the pandemic. In 2021, she curated the first Charity Workplace Wellbeing Summit and was named as one of Charity Times Magazine’s 20 Pandemic Pioneers. Claire lives in rural Lancashire with her husband, their two daughters, Rowan the dog and horses Maddie and Bernie.

Computer vision (CV), a subfield of computer science, focuses on replicating the complex functionalities of the human visual system. This course provides a comprehensive understanding of Computer Vision from the beginning using Python and helps you in becoming an expert.

The Real Estate Investor course primarily focuses on financial modelling and commercial considerations in the real estate industry across various sectors, geographies, and project types.

Register on the Tic-Tac-Toe Clone - The Complete SFML C++ Game Course today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Tic-Tac-Toe Clone - The Complete SFML C++ Game Course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Tic-Tac-Toe Clone - The Complete SFML C++ Game Course Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Tic-Tac-Toe Clone - The Complete SFML C++ Game Course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Content Section 01: Introduction Introduction 00:02:00 Section 02: Project Setup Project Setup On Windows 00:12:00 Project Setup On Mac 00:10:00 Section 03: Game Engine Setup State Machine 00:18:00 Asset Manager 00:08:00 Input Manager 00:08:00 Game Loop 00:14:00 Section 04: State/Screen Creation Splash State/Screen 00:19:00 Main Menu State/Screen 00:20:00 Game Over State/Screen 00:08:00 Pause State/Screen 00:14:00 Game Over State/Screen 00:08:00 Section 05: Game Logic Grid Part 1 - Initialisation 00:14:00 Grid Part 2 - Placing A Piece 00:12:00 Check For Win Condition 00:20:00 AI 00:21:00 Show Game Over Screen 00:05:00 Section 06: Extras & Going Forward What to Do Next? 00:04:00 Section 07: Resource Resource 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Description: This Diploma in Chatbots for Multiple Platforms is designed for people who want to make great bots. Through the course you will gain the skills to use one of the fastest growing mobile technologies, Chatbots. You will learn how to create chatbots for many different platforms, you will understand the power of chatbots in the entertainment, travel, work, and retail environment, you'll be able to develop sophisticated chatbots that use buttons and AI to create great customer experiences. The course covers Chatbots for Websites, for Facebook, for KiK, and for Slack - although the bots created can be used also on many other services. You will get some examples of travel bots, entertainment bots, productivity bots, and retail bots. At the end you will be able to make chatbots that are able to perform many different operations. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Diploma in Chatbots for Multiple Platforms is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Diploma in Chatbots for Multiple Platforms is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction to Chatbots Introduction FREE 00:03:00 Chatbot Examples 00:06:00 Building a Chatbot in Gupshup.io Introduction to Gupshup 00:02:00 Gupshup Travel Bot Part 1 00:11:00 Gupshup Improving the User Experience 00:02:00 Gupshup Order an Uber 00:02:00 Gupshup Helsinki Sights 00:06:00 Gupshup Helsinki Weather 00:04:00 Gupshup Publishing Your Bot 00:02:00 Gobot Easy and Powerful Ready Made Chatbot Services Gobot Introduction 00:01:00 GoBot Site Example 00:02:00 Gobot Parts of the System 00:01:00 Gobot Make a bot Part 1 00:08:00 Gobot Make a bot Part 2 00:03:00 Gobot Publishing your Bot 00:08:00 A Facebook Messenger Bot Introducing Chatfuel 00:02:00 Understanding A Chatfuel Bot - Test Bot 00:05:00 Building Our Own Facebook Messenger Bot - A Retail Example part 1 00:02:00 Catfuel and Images - Getting them right 00:06:00 Chatfuel Product Gallery with More Information 00:09:00 Chatfuel - Plugins - Adding an RSS feed with Subscription 00:07:00 Chatfuel - Plugins - YouTube Integration 00:07:00 Chatfuel - Collecting Uder Input via Email 00:06:00 Chatfuel - Advanced Features 00:09:00 Chatfuel - Work Around for Button Linking Problem 00:02:00 Chatfuel - Add a Site Search - Bing or Google Search 00:07:00 Chatfuel - Publish Your Bot - Two Options 00:03:00 UPDATE - MiniApp Chatbot Building System Introduction to MiniApp 00:02:00 Connecting a MiniApps Bot to the Microsoft Bot Framework 00:10:00 MiniApps Creating the Bot Interactions 00:04:00 MiniApps Connecting your bot to Skype 00:02:00 MiniApps Simple now but other options are possible 00:01:00 MiniApps Conslusion 00:02:00 Building a Chatbot in Motion.ai Looking at the Motion.ai Interface 00:02:00 Motion.ai Interface Part 2 00:02:00 Building Our First Bot - A travel bot Part 1 - Setting up the Travel Bot 00:01:00 Part 2 - Looking at The Connections 00:02:00 Part 3 - Adding Buttons via HTML and Cards 00:07:00 Part 4 - Adding Other Content with Widgets - Weather Example 00:03:00 Part 5 - Connecting Your Bot to Another Bot - Uber Example 00:03:00 Part 6 - Creating Multiple Cards - Travel Sights Bot 00:10:00 Part 7 - Clean-up - Global Settings and Help 00:03:00 Entertainment bot Example - The Bender Bot Bender Bot Part 1 - Looking at how the bot works 00:04:00 Bender Bot Part 2 - Advanced - Adding a new interaction 00:06:00 Bender Bot Part 3 - Final connnections and things to think about with Motion.ai 00:09:00 Thank You Thank you and contacts 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

To understand psychopathology, one must learn a foreign language, lend an ear as it were to a language that is complex and symbolic. We aim to explore the lived experiences on irregular perceptions of reality with an open mind. Each Saturday includes: a live dialogue between Prof. Ernesto Spinelli and an International Existential Therapist; a moment to share your thoughts and feelings with the teachers; and a final integration facilitated by Bárbara Godoy. This series of ten dialogues set out to explore the multifaceted dimentions and complexities associated with Existential Therapies. It attempts to engage with various interpretations of insanity through the lens of patients often painful, confounding, and deeply unsettling life experiences. Character- between Prof. Ernesto Spinelli and Prof. Robert Romanyshyn “I begin with the term psychopathology to emphasize that the word is about the logos—the thinking/speaking—about the sufferings of the psyche. To understand psychopathology, one must learn a foreign language, lend an ear as it were to a language that is complex, symptomatic, symbolic, and embodied. As complex, psychopathology reveals and conceals the sufferings of psyche. As symptomatic, psychopathology reminds one of things too important to forget but which are forgotten because they are too painful to remember. As symbolic, psychopathology is neither about facts nor ideas but about images, alchemical vessels that not only hold and contain psyche’s sufferings, but also cooks them. As embodied, psyche’s sufferings are inscribed in the flesh, etched as lines of character. To practice psychotherapy as an existential therapist situates therapist and patient in a dialogical field that is complex, symptomatic, symbolic, and embodied as a gestural field between them.” Prof. Robert Romanyshyn. Prof. Robert D. Romanyshyn, an Affiliate Member of The Inter-Regional Society of Jungian Analysts, a Fellow of the Dallas Institute of Humanities and Culture, and a Professor Emeritus of Clinical Psychology at Pacifica Graduate Institute, was recently awarded the Distinguished Lifetime Contributions to Humanistic Psychology Award from the Society for Humanistic Psychology APA Division 32. He has published eight books and numerous articles in psychology, philosophy, education, and literary journals. He is also a published poet and has written a one-act play about Frankenstein. In 2009 he created a multi-media DVD entitled Antarctica: Inner journeys in the Outer World, which offers a psychological reflection on the melting polar ice. In addition to online seminars and interviews, he has given lectures and workshops at universities and professional societies in the U.S., Europe, Australia, South Africa, Canada, and New Zealand. Prof. Ernesto Spinelli was Chair of the Society for Existential Analysis between 1993 and 1999 and is a Life Member of the Society. His writings, lectures and seminars focus on the application of existential phenomenology to the arenas of therapy, supervision, psychology, and executive coaching. He is a Fellow of the British Psychological Society (BPS) as well as an APECS accredited executive coach and coaching supervisor. In 2000, he was the Recipient of BPS Division of Counselling Psychology Award for Outstanding Contribution to the Profession. And in 2019, Ernesto received the BPS Award for Distinguished Contribution to Practice. His most recent book, Practising Existential Therapy: The Relational World 2nd edition (Sage, 2015) has been widely praised as a major contribution to the advancement of existential theory and practice. Living up to the existential dictum that life is absurd, Ernesto is also the author of an on-going series of Private Eye novels. Date and Time: Saturday 3 May from 2 pm to 3 pm – (UK time) Individual Dialogue Fee: £70 Venue: Online Zoom FULL PROGRAMME 2025: 25 January “Knots” with Prof. Ernesto Spinelli and Bárbara Godoy 22 February “Healing” with Dr. Michael Guy Thompson and Prof. Ernesto Spinelli 22 March “Difference” with Prof. Tod DuBose and Prof. Ernesto Spinelli 12 April “Polarisation” with Prof. Kirk Schneider and Prof. Ernesto Spinelli 3 May “Character” with Prof. Robert Romanyshyn and Prof. Ernesto Spinelli 21 June “Opening” with Dr. Yaqui Martinez and Prof. Ernesto Spinelli 19 July “Meaning” with Dr. Jan Resnick and Prof. Ernesto Spinelli 25 October “Invention” with Dr. Betty Cannon and Prof. Ernesto Spinelli 15 November “Hallucination” with Prof. Simon du Plock and Prof. Ernesto Spinelli 13 December “Hysteria” with Bárbara Godoy and Prof. Ernesto Spinelli Read the full programme here > Course Organised by:

Join this course to learn how to build a dynamic and engaging Tic Tac Toe game for iOS using SwiftUI and Firebase integration. Gain practical skills in game development, SwiftUI, and Firebase integration as you create a fully functional Tic Tac Toe game ready to be deployed to the App Store. Basic knowledge of Swift and SwiftUI is essential.