The “ISO 42001:2023 Lead Auditor Course” integrates the principles of ISO 42001:2023, the International Standard for Artificial Intelligence Management, with the methodologies outlined in ISO 19011:2018, the Guidelines for Auditing Management Systems. The course equips participants with the skills and knowledge required to lead Artificial Intelligence audits effectively, ensuring compliance with ISO 42001:2023, and applies the principles of ISO 17011:2017 for conformity assessment bodies.
This is an intensive 5 day training course covering all of our Ayurveda face and Body therapies. This course is for therapists looking to advance their skills. All the courses can be booked separately (see separate listings) but booking our 5 day intensive back to back course saves you £500+ pounds. In this course we cover; Marma-Point Massage An ancient therapy combining pressure to specific marma (vital) points all over the body and yogic stretches of all joints. The massage manipulates healthy flow of energy through the body’s junctions and nadis (pathways and channels), and delivery is personalised according to your needs. Pinda Sweda Hot Compress Massage Therapeutic Ayurvedic herbal powders are crushed in a traditional pestle and mortar and tied into a muslin cloth which forms the medium for this treatment, known in India as a bolus. After warming, oil is applied to the body using the bolus and an Ayurvedic technique known as pummelling. Extremely nourishing, strengthening and rejuvenating, this treatment is great for sports enthusiasts as it addresses problems relating to weak joints and sore muscles. Ayurveda Body Detox Scrub A treatment that originated in India, this cleansing treatment uses specific ground Ayurvedic herbs which are vigorously rubbed over the body to help draw out impurities and reduce water retention. The natural ingredients also exfoliate, leaving lustre to the skin surface. Padabhyanga Tri-Dosha’s Ayurvedic alternative to reflexology. Combining deeply therapeutic techniques to release energy blockages, improve circulation and restore tired calf muscles, the body is eased and energised. In addition, the soles of the feet are cleansed and nourished. Ideal as a preventative monthly maintenance therapy against the stresses of the modern world. Shiroabhyanga A deeply therapeutic caring treatment designed to nourish the scalp, and wash away tensions associated with migraine, headache and neck stiffness. It involves warm dosha-specific oils poured into the hair, aiding the nourishment of roots. While the indigenous herbs calm and revitalise the spirit, ancient massage techniques allow the body to surrender and enhance overall equilibrium. Shirodhara Hot Oil Scalp Massage Warm blended oil is gently poured in a slow rhythmic movement over the forehead marma (vital) point, also known as the third eye. Profoundly relaxing, this treatment works to switch off a chattering mind and induce deep rest for a renewed energy and calm that borders meditation. A facial or foot and leg treatment precedes the shirodhara.
Overview: This 1-day Driver CPC Periodic Training course is dedicated to understanding and addressing the needs of Vulnerable Road Users (VRUs), such as pedestrians, cyclists, motorcyclists, and those with mobility challenges. Through a two-part approach, drivers will learn practical strategies for safe interactions with VRUs and develop an enhanced awareness of the road environment to promote safer roads for everyone. Who Should Attend: This course is ideal for all professional drivers who are required to undertake Driver CPC Periodic Training to maintain their Driver CPC Licence. It’s particularly beneficial for drivers working in urban or densely populated areas where VRU encounters are common. Learning Objectives: This course is designed to: • Enhance Awareness: Equip drivers with an understanding of the specific challenges faced by vulnerable road users. • Promote Safe Driving Practices: Provide techniques for anticipating VRU behavior and responding proactively. • Reduce Risks: Educate drivers on best practices to minimise accidents and improve safety for all road users. Course format: Online
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
What past delegates said: "I started looking for a course in education and training when I was offered a chance to help deliver some health & safety training in my local area - I was incredibly lucky to have found Ottilia Pochat Training. Ottilia has a wealth of experience in teaching, and she managed to share those skills and techniques with us in a way that was both incredibly informative and fun! I can’t recommend Ottilia Pochat Training highly enough - why wouldn’t you want to learn how to teach from the best?" This course is fully tutor-led and teaches you how to become a good, quality trainer Virtual Classroom, this course is run over 8 weeks: 16 sessions of 2½ hour duration, from 10:00 -12:30 and 13:30 - 16:00 The virtually run course starting on Friday 7 July will be held over 8 consecutive Fridays Face to Face: Five-day course Run by a Dutch teacher who spent 4 years learning to teach and has international teaching experience in working with all age groups Course Contents Roles and responsibilities in education and training Ways to maintain a safe and supportive learning environment Relationships between teachers and other professionals Boundaries between the teaching role and other professionals Points of referral to meet the individual needs of learners Inclusive teaching, including:Ways to create an inclusive teaching and learning environmentCreating an inclusive teaching and learning planJustifying own selection of teaching and learning approaches, resources and assessment methods in relation to individual learner needsUsing teaching and learning approaches to meet learner needsEvaluating the delivery of inclusive teaching and learning including areas for improvementDelivering inclusive teaching and learning to meet individual needs Communicating with learners in a way that meets their needs Understanding assessment in education and training, including:Different methods of assessment and how they can be adapted to meet individual learner needsHow to involve learners and others in the assessment processThe role and use of constructive feedbackRecord keeping of assessments Benefits of this course: This Ofqual regulated course will allow you to work in adult education Or even, run online training sessions With this course, you'll also be able to run professional workshops Accredited, Ofqual regulated qualification Our QA Level 3 Award in Education and Training (RQF) Course is a nationally recognised, Ofqual regulated qualification accredited by Qualsafe Awards. This means that you can rest assured that your level 3 Award in Education and Training fulfils the legal requirements to kick-start your own career in Education and Training. The Ofqual Register number for this course is 603/2770/4
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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.
Join the free Building Your Business webinar on 11 December 2024 designed specifically for construction professionals in Essex to help you attract top candidates and team members, and improve your employee retention to help your business grow.