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I Stress, Eustress, We all stress Stress is a natural response, and not all stress is bad—eustress can motivate and enhance performance, while distress can overwhelm.  We believe everyone can control stress through recognition, self-care and conversation. Let’s turn stress into a catalyst for growth, not burnout. Ready to rethink how you handle stress? Let’s talk.  Workshop outline:   Stress and mental health  Eustress and distress  Discuss approaches to coping with stress  Explore what might be helpful to promote self-care  Practice conversation starters  Self-care and wellbeing resources  Our 2-hour workshop packages At Mindmaps Wellbeing, we know that every business is unique, and no team is the same. That’s why we’ve developed our range of short, specialist wellbeing and mental health themed workshops—a fully flexible approach to workplace training.   With our selection of engaging and impactful 2-hour workshops, you can build a programme that truly meets your organisation’s needs. Whether you’re looking to manage stress, challenge stigma, or avoid burnout, you choose the sessions that suit your team best. Our training courses and workshop collection   Why Mindmaps Wellbeing? Mindmaps Wellbeing is the trusted training provider for businesses looking to enhance workplace mental health and employee wellbeing. Our training is designed and delivered by registered Mental Health Nurses, ensuring credibility, expertise, and real-world application. Focus on culture change – Our training goes beyond theory transfer, aiming to embed lasting behavioural shifts that foster a positive, mentally healthy workplace   Flexible delivery options – We offer in-person, online, and hybrid training solutions to fit your organisation’s needs   Proven impact and measurable results – Our training leads to improved employee engagement, productivity, and retention   Engaging and actionable – All our courses include interactive activities, case studies, and real-world applications for immediate impact  Contact us for more information.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Are you ready to embark on an enlightening journey of wisdom with the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our bundle - Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels. Delve into eight immersive CPD Accredited courses, each a simple course: Course 1: Marketing Course 2: Strategic Planning and Analysis for Marketing Course 3: Digital Marketing - Growth Hacking Techniques - Online Course Course 4: Social Media Marketing Course -The Step by Step Guide Course 5: Creating Highly Profitable Sales Funnels Course 6: Email Marketing for Beginners Course 7: SEO - Search Engine Optimisation Course 8: ChatGPT for Marketing and Productivity with AI Tools Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. 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The Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels journey and let knowledge guide you towards a brighter future. CPD 90 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Requirements Without any formal requirements, you can delightfully enrol in this Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels Bundle. 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FAA Level 3 Award In Supervising First Aid For Mental Health (RQF) Classroom (two day course), Virtual (6 x 2 ½ hour sessions) Gives learners knowledge of Mental Health First Aid and associated conditions This course is especially suitable for managers, supervisors and other staff that have the power to make changes in the workplace Course Contents: What is Mental Health? Why people develop mental health conditions What the role of a mental health first aider is Knowing how to provide advice and practical support Knowing how to recognise and manage stress Understand the impact of substance abuse on mental health Understand the first aid action plan for mental health and be able to put it in place Know how to implement a positive mental health culture in the workplace Recognising a range of mental health conditions: Depression Anxiety Psychosis Eating disorders Suicide Self-harm PTSD Personality disorders Bipolar disorder Schizophrenia Benefits of this course: 37% of all work-related ill-health is due to mental health problems Problems with mental health cover 45% of all working days lost A whopping 12.8 million working days, or 49, 042 years, were lost due to mental health problems in 2018/19 602,000 workers suffered from work-related stress, depression or anxiety in 2018/19 One in four people will have a mental health problem at some point during their lives Whether work is causing or aggravating mental health problems, employers have a legal responsibility towards their employees Work-related mental health issues must to be assessed to measure the levels of risk to staff Where a risk is identified, steps must be taken to remove it or reduce it as far as reasonably practicable This two day r employees' mental health and wellbeing Accredited, Ofqual regulated qualification Our Mental Health First Aid Courses are nationally recognised, Ofqual regulated qualifications accredited by First Aid Awards Ltd in association with NUCO Training. This means that you can be rest assured that your Mental Health First Aid Certificates fulfill the upcoming legal requirements and are a very good way to make sure you and your employees have a supporting workplace to deal with staff's mental health conditions. The Ofqual Register number for this course is 603/3770/9

Want to learn how to create eye-catching and engaging graphics for your business? Join our Using Canva workshop to find out how to utilise the online graphic design platform Canva to make everything from your company branding to social media posts and more! Event details: Time: 10am – 11:30am Location: Online (ZOOM) Cost: £25pp (£30pp from after April) In this course, we’ll cover everything from: How to sign up and get set up on the platform How to navigate Canva as a beginner Creating a brand kit for your business Creating a new graphic together for a campaign for a business Walkthrough of all the basic features of Canva Resizing designs to make posters and leaflets  As part of the live event of this workshop, we will also have a Questions and Answers session to finish this online workshop, where participants can ask specific questions about how to use Canva for their business. Meet the Host: Kerry Madge | Marketing Executive, Let's Do Marketing Kerry Madge is a dynamic Marketing Executive at Let's Do Marketing, bringing nearly six years of diverse experience collaborating with businesses of all sizes. Holding a BA in Marketing Management, Kerry excels in social media advertising, graphic design, and copywriting. Her passion lies in crafting creative solutions and developing comprehensive marketing strategies that empower small businesses to visualise and achieve their overarching goals. Privacy Notice By registering for this event, you agree to Let’s Do Business Group processing and managing your personal data in accordance with our Privacy Policy. Your data will only be used for the purposes of managing your event registration and any relevant communications.

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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

The Mechanics of Mediumship. A beginners guide to everything you need to know. How to become a professional psychic medium. Able to give short, accurate, evidential messages. This course runs over 5 weeks and during our time together we will explore five easy to follow parts. 1: What mediumship is and the different types, including your role as a professional medium and the differences between working in the psychic modality and when you are connected to spirit. 2: Activating and building your power within, and the difference between meditation, and attunement both to the spirit world and using your psychic modality. 3: The six different senses available to you, which are your strongest and whether you are perceiving them objectively or subjectively. 4: What is and what is not evidence in mediumship, understanding the different types of evidence available and defining practical and emotional evidence. 5: Surrendering to spirit, building confidence to receive specific unique information, and understanding the reasons why you receive a no response. Guidance on making positive, strong, statements filling your sitter with confidence, building a truly extraordinary professional reading.