178 Natural courses in Bradford delivered Live Online

Designed as a follow-on to The Practical Manager, this course will take your managers to the next level. Give them the skills to develop high performing teams through the application of tailored motivation strategies, effective performance appraisal and razor-sharp decision-making.

Learn the basic Communication Skills you need to communicate in REAL, natural Spoken English. This course is for you if you need to learn English.

Discover our Cinnamon Coffee Bean candles, crafted from natural soy wax. Personalize your design for a unique touch, blending cozy aromas and custom aesthetics for a perfect home ambiance.

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 

The scent therapy Masterclass is designed to provide comprehensive understanding of scent therapy, its historical context, the science behind it and how to incorporate it in every day life

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

In this course we explore how we have attempted to build inclusive circles of support around individuals and contrast this with a radical approach to hospitality and community building – the Community Circle. The purpose of community circles is to bring people from a local community together to share their skills, talents, gifts and resources. This idea is based upon the premise that ALL of us need three things in our lives to make us happy and fulfilled: these are money, friendship and meaning. We believe that everyone needs community, everyone needs to be heard and everyone needs to have fun. Online Course now available via Teachable Platform – Creating Community Circles Learn at your own pace… lots of text and video support Category Inclusion Peer Support Parents and Carers   Description  Building Community Circles In this course we explore how we have attempted to build inclusive circles of support around individuals and contrast this with a radical approach to hospitality and community building – the Community Circle. The purpose of community circles is to bring people from a local community together to share their skills, talents, gifts and resources. This idea is based upon the premise that ALL of us need three things in our lives to make us happy and fulfilled: these are money, friendship and meaning. We believe that everyone needs community, everyone needs to be heard and everyone needs to have fun. Community Circles are based upon reciprocity and the assumption that EVERYONE has both gifts and needs – whether these are labelled or not. The circles adopt the fundamental value of inclusion that ‘all means all’, no one is excluded from community circles, instead the circle members work out how to include everyone equally and safely. A community circle is made up of participants and allies from the local community. The meeting starts with everyone sharing food and conversations. Next the group comes together in a circle so that everyone can see each other and shares what is good and new in their lives, everyone gets a turn to be listened to. ‘New and Good’ breaks the habit of thinking about and acting from what’s wrong, it is an exercise of giving and receiving attention with one another and it also provides a strong foundation of strengths from which we can think about and tackle difficulties. The group is then asked the question what do they want, need or have to offer. Community circles provide a great foundation or starting point from which to explore connections, build relationships, locate resources and share skills. These circles will be a particularly important resource for Brokers and the people that they work for. They provide a safe forum in which people can meet and friendships can start, a natural reservoir of people and relationships where people can be invited to offer their time and capacity. To be successful we have to start from a belief in inclusion. A belief that: 1 We are all born ‘in’. 2 All means all. 3 Everyone needs to belong. 4 Everyone is ready. 5 Everyone needs support. 6 Everyone can communicate. 7 Everyone can contribute. 8 Together we’re better. Learning Objectives For participants to learn how to create a Community Circle. For participants to understand the underlying rationale and ethos of this way of working. To explore ways of maximising an individual’s inclusion and connection with the wider community. To explore ways of helping with friendship, social connection and education. To increase confidence, social skills and presence of disabled adults and those with a wide range of need in their local community by focusing on their contribution. Who Is It For? Anyone interested in mobilising the community to make it more inclusive around disabled or challenging individuals. Course Content Understanding ordinary needs – plus the true dimensions of social inclusion Building relationships Creating natural circles of support Creating a community circle If you like this you will almost certainly enjoy: Person Centred Planning using PATH and MAPS

Being a leader can take you into vulnerable places - the unfamiliar, high expectations and high visibility, with everyone looking to you for guidance in the big moments. It is natural for doubts to creep in, including the echoes of past knock-backs, put-downs, pressures, stereotyping and internalised oppression.

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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.

About this Training Energy insurance is a type of insurance designed to protect businesses that work in the energy industry. This type of insurance covers a wide range of risks that are unique to the energy industry, such as damage to oil rigs, power plants, pipelines, or other energy infrastructure, as well as accidents, explosions, fires, and environmental damage. Energy insurance can also provide coverage for business interruption caused by unforeseen events that can disrupt energy production or supply, such as natural disasters, equipment breakdown, and cyber-attacks. It may also include coverage for liability and loss of income resulting from lawsuits and legal claims. Training Objectives Upon completion of this course, participants will be able to: Understand the risk sharing between oil companies and contractors Know how this is dealt within the insurance products available Understand insurer's perception of risk Create awareness of how market insurance products meet industry needs Be familiar with insurer's pricing methodologies Better understanding of the broker interface Understand technical evaluation of the coverage wordings Putting technical knowledge into practice with claims workshop Target Audience The course is intended for individuals who work in the energy industry, particularly those who are involved in managing risk or making decisions related to insurance coverage. The following personnel will benefit from the knowledge shared in this course: Insurers Brokers Adjusters Lawyers Risk Managers Treasury Contracts Legals Contract Adjustor Project Managers Course Level Basic or Foundation Trainer Your expert course leader has worked in the insurance sector for 59 years. He has worked as a broker for reputable firms, such as Marsh, where he served as the managing director of Energy Construction. He has also participated in peer review for different Lloyds Syndicates. He also served as a broker for Sedgwick, AAA, and Miller in the offshore energy sector. He has helped businesses including Shell, BP, Chevron, ConocoPhillips, Petrofina, Woodside, ENI, and Brunei Shell for their policy reviews during his career. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations