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Presentation Skills 1 Day Workshop in Gloucester

Presentation Skills 1 Day Workshop in Corby

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EMDR Refresher Workshop with Simon Proudlock and Ines Santos – EMDR Europe Accredited Trainers The aim of this workshop is to sharpen your skills, refresh your confidence & stay true to the model. Over time, even skilled practitioners can experience therapy drift. This workshop offers a structured and supportive space to revisit the standard protocol and re-ignite your clinical clarity. We'll explore common uncertainties (e.g. "Is BLS fast or slow in the installation phase?"—Answer: fast!), deepen understanding of each protocol phase, and reinforce model fidelity. Who is it for? ✔ EMDR therapists looking to refresh their knowledge and skills ✔ Practitioners who've had limited opportunities to use EMDR and want to build confidence ✔ Therapists working towards EMDR Accreditation (Practitioner or Consultant) seeking to strengthen their adherence to the model Content: Re-cap of the 8-phase protocol and rationale for each stage Updates on current research and developments in EMDR Refresher on the AIP model and its role in case formulation Therapeutic/Cognitive Interweaves Working with recent events Flashforward and Absorption Techniques Video examples from real clinical sessions Ample opportunity for supervised practice and feedback Key Learning Outcomes: To increase confidence in using EMDR with a range of clients To explore current blocks in using EMDR To increase confidence in using Cognitive Interweaves To learn additional techniques that may have not been covered in initial training For those who want the opportunity to practice, as an add-on to the workshop, we will be offering a 3-hour supervised practicum on Monday 8th December at 9am bookable at time of checkout as an add-on. There is also the option of free access to Practice EMDR, an innovative ‘Flight Simulator’ to practice with an AI avatar. Simon Proudlock is a Consultant Psychologist and Associate Fellow of the British Psychological Society working for the NHS and in private practice. He has spent the majority of his career working with complex clients. In 2018 he achieved the award for Innovative Practice by the Division of Counselling Psychology for his research in EMDR with people who are suicidal. He is author of 'The Solution Focused Way: Incorporating Solution Focused Therapy Tools and Techniques into Your Everyday Work'. Ines Santos is a Clinical Psychologist, specialist in trauma and complex trauma, with over 20 years of experience in the NHS, including working at the Traumatic Stress Service, Maudsley. Ines developed the EMDR Case Formulation Tool and has delivered several workshops on EMDR case formulation in treatment planning and target selection; as well as workshops on EMDR Advanced Techniques and EMDR Refresher workshops. Simon and Ines are EMDR Europe Accredited Trainers & Consultants. The workshop fee includes handouts, CPD certificates and access to the recording of the webinar for 45 days after the event for those who have attended in person only. EMDR UK Association - 6 CPD points PENDING

Learn to build chatbots for various platforms such as Facebook, Slack, Skype, Kik, Telegram and others with the Chatbots for Multiple Platforms - Without Coding course. A chatbot is a computer program or an artificial intelligence which is designed to simulate a conversation with human users, especially over the Internet via auditory or textual methods. In the course, you will learn to create chatbots for various platforms without coding. The course shows you the techniques of developing sophisticated chatbots that use button and Ai to ensure great customer experience. You will learn to build a chatbot in Gupshup.io, Motion.ai, and more. The course helps you to develop the first bot. Upon completion, you will be able to create chatbots that can able to perform various operations. What Will I Learn? By the end of the course you will be able to build an iBeacon enabled mobile app ready to be submitted to the app stores (Apple and Google Play) You will understand what an iBeacon is and what are some of the potential uses. You will understand what programs are needed to build beacon apps and where to download them (for free). You will understand the different types of beacons, what are the costs involved, what services are provided by the various beacon makers. You will know how to build an app for testing and giving to your clients for testing. Requirements You need to have a MAC computer to build the apps - currently PC is not supported. It is also possible to do this on a Windows machine if you install a Virtual machine and run the MAC OS in a window on your PC. Take a look at this for an overview: https://blog.udemy.com/xcode-on-windows/ For testing iBeacon functionality you will need 2 things. 1) a device to act as a beacon, and 2) an i Device or an Andoid Device (details in the course). A desire to learn! This is not difficult, it only takes following instructions and havign a desire to learn. Who is the target audience? Web and Mobile designers, marketing people, and business ownvers who want to learn how to leverage the next level of mobile interactions by incorporating iBeacons. No programming background needed - this is really a course for anyone - you really do not need to have any coding background. Marketing and retial people are also encouraged to take this course to understand the potential for greater customer interactions made possible with iBeacons. Mobile phone app makers who want to learn how to incorporate iBeacons into existing apps the easy and fast way. Introduction to Chatbots 1. Introduction 00:03:00 2. Chatbot Examples 00:06:00 Building a Chatbot in Gupshup.io 2. Introduction to Gupshup 00:02:00 3. Gupshup Travel Bot Part 1 00:11:00 4. Gupshup Improving the User Experience 00:02:00 5. Gupshup Order an Uber 00:02:00 7. Gupshup Helsinki Weather 00:04:00 8. Gupshup Publishing Your Bot 00:02:00 Gobot Easy and Powerful Ready Made Chatbot Services 1. Gobot Introduction 00:01:00 3. GoBot Site Example 00:02:00 4. Gobot Parts of the System 00:01:00 5. Gobot Make a bot Part 1 00:08:00 6. Gobot Make a bot Part 2 00:03:00 7. Gobot Publishing your Bot 00:08:00 A Facebook Messenger Bot 1. Introducing Chatfuel 00:02:00 2. Understanding A Chatfuel Bot - Test Bot 00:05:00 3. Building Our Own Facebook Messenger Bot - A Retail Example part 1 00:02:00 4. Catfuel and Images - Getting them right 00:06:00 5. Chatfuel Product Gallery with More Information 00:09:00 6. Chatfuel - Plugins - Adding an RSS feed with Subscription 00:07:00 7. Chatfuel - Plugins - YouTube Integration 00:07:00 8. Chatfuel - Collecting Uder Input via Email 00:06:00 9. Chatfuel - Advanced Features 00:09:00 10. Chatfuel - Work Around for Button Linking Problem 00:02:00 11. Chatfuel - Add a Site Search - Bing or Google Search 00:07:00 12. Chatfuel - Publish Your Bot - Two Options 00:03:00 UPDATE - MiniApp Chatbot Building System 1. Introduction to MiniApp 00:02:00 2. Connecting a MiniApps Bot to the Microsoft Bot Framework 00:10:00 3. MiniApps Creating the Bot Interactions 00:04:00 4. MiniApps Connecting your bot to Skype 00:02:00 5. MiniApps Simple now but other options are possible 00:01:00 6. MiniApps Conslusion 00:02:00 Building a Chatbot in Motion.ai 2. Looking at the Motion.ai Interface 00:02:00 3. Motion.ai Interface Part 2 00:02:00 Building Our First Bot - A travel bot 1. Part 1 - Setting up the Travel Bot 00:01:00 2. Part 2 - Looking at The Connections 00:02:00 3. Part 3 - Adding Buttons via HTML and Cards 00:07:00 4. Part 4 - Adding Other Content with Widgets - Weather Example 00:03:00 5. Part 5 - Connecting Your Bot to Another Bot - Uber Example 00:03:00 6. Part 6 - Creating Multiple Cards - Travel Sights Bot 00:10:00 7. Part 7 - Clean-up - Global Settings and Help 00:03:00 Entertainment bot Example - The Bender Bot 1. Bender Bot Part 1 - Looking at how the bot works 00:04:00 2. Bender Bot Part 2 - Advanced - Adding a new interaction 00:06:00 3. Bender Bot Part 3 - Final connnections and things to think about with Motion.ai 00:09:00 Thank You 1. Thank you and contacts 00:01:00

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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.

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