Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - 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 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - 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 6 - 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 Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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.
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.
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Acupressure for Pain Relief Course Overview This course, "Acupressure for Pain Relief," introduces learners to the effective and natural practice of acupressure for managing pain and improving well-being. It covers the principles of acupressure, focusing on its applications for alleviating stress, anxiety, and various physical discomforts. The course is designed to provide learners with a thorough understanding of acupressure techniques and meridian theory, helping them to integrate these practices into daily life or a professional setting. Upon completion, learners will have the knowledge to apply acupressure for pain relief and better overall health, enabling them to confidently use these techniques for personal well-being or as part of a complementary care routine. Course Description "Acupressure for Pain Relief" provides in-depth knowledge of the acupressure technique and its practical application for pain relief. Learners will explore acupressure theory, including meridians and pressure points, and gain an understanding of how this ancient therapy can alleviate stress, anxiety, and physical discomfort. The course covers the key benefits of acupressure, how to create treatment protocols, and how to use acupressure in various contexts. Throughout the course, learners will gain valuable insights into how acupressure promotes relaxation and enhances overall health. By the end of the programme, participants will have developed the skills to apply acupressure techniques for managing pain and promoting physical and mental well-being. Acupressure for Pain Relief Curriculum Module 01: Introduction Module 02: What is Acupressure? Module 03: What are Meridians? Module 04: Acupressure Treatment Protocol for Relieving Stress & Anxiety Module 05: Benefits of Acupressure (See full curriculum) Who is this course for? Individuals seeking to manage pain naturally. Professionals aiming to expand their knowledge of alternative therapies. Beginners with an interest in holistic health practices. Anyone interested in reducing stress and improving mental well-being. Career Path Acupressure Practitioner Holistic Health Consultant Wellness Coach Alternative Therapy Specialist Spa or Wellness Centre Practitioner
Anxiety and Depression Management Diploma Course Overview The "Anxiety and Depression Management Diploma" offers comprehensive training on managing and alleviating symptoms of anxiety and depression. This course equips learners with an understanding of the science behind mental health issues, including the role of neurotransmitters and GABA, and explores various techniques such as Emotional Freedom Technique (EFT) and NLP Anchoring. It provides valuable insights into meal planning for mental well-being, ensuring learners can apply a holistic approach to managing anxiety and depression. This course is designed for those seeking to enhance their knowledge and skills in mental health management, with practical applications for individuals and professionals alike. Course Description This course delves deeply into the biological and psychological aspects of anxiety and depression, covering essential topics such as neurotransmitters and GABA, which play a crucial role in regulating mood. Learners will explore emotional relief techniques like Emotional Freedom Technique (EFT) and NLP Anchoring, which have shown effectiveness in reducing anxiety. The course also addresses the importance of nutrition with tailored meal plans that support mental health. Throughout the programme, learners will engage in evidence-based strategies aimed at alleviating symptoms and promoting emotional well-being. Upon completion, learners will be equipped with a holistic understanding of managing anxiety and depression through multiple therapeutic approaches. Anxiety and Depression Management Diploma Curriculum Module 01: Neurotransmitters Module 02: GABA Module 03: Emotional Freedom Technique for Anxiety Relief Module 04: NLP Anchoring for Anxiety Relief Module 05: Meal Plans (See full curriculum) Who is this course for? Individuals seeking to manage anxiety and depression effectively. Professionals aiming to enhance their therapeutic practices or mental health expertise. Beginners with an interest in mental health and wellness. Anyone looking to improve their understanding of mental health management techniques. Career Path Mental Health Practitioner Counsellor or Therapist Wellness Coach Personal Development Specialist Nutritionist (with a focus on mental well-being)
About this Virtual Instructor Led Certificate Training Course (VILT) Asset maintenance and equipment reliability teams play a significant role to ensure that there is no room for downtime and losses in production. They are often recognised for their contribution and ability to keep assets running productively in today's organisations. The Certificate in Asset Management Virtual Instructor Led Training (VILT) course will provide those involved in Asset Management with a full explanation of the key processes to manage assets across their lifecycle. This recognised VILT course has been designed to equip participants with practical skills to take back to work. This VILT course enables participants to ensure their organisation's assets are realising their full value in support of the organisation's objectives. Accredited by the Institute of Asset Management (IAM), this VILT course will prepare participants to sit for the IAM Asset Management Certificate qualification. The IAM exam is offered as an option for participants of this VILT course. Training Objectives By the end of this VILT course, participants will be able to: Understand the key principles, tools and terminology of Asset Management, and demonstrate how it will benefit your organisation Gain familiarity in the application of ISO 55000 in practice Access a range of models that will support the implementation of asset management in your organisation Assess your understanding of the current tools and concepts applied in Asset Management Capture new ideas and skills that will enhance performance and be better prepared for the Institute of Asset Management (IAM) Certificate Examination Target Audience This VILT course will benefit maintenance managers, operations managers, asset managers and reliability professionals, planners and functional specialists. It will also be useful for facilities engineers, supervisors/managers and structural engineers/supervisors/ and managers. IAM Qualifications Syllabi This document details the scope of the individual topics which comprise the examination modules, and how the exams are assessed. It is important that prospective candidates understand the scope of the modules to determine the preparation required. Download here IAM Qualifications Candidate Handbook This handbook provides more detailed information on registering as a candidate, learning resources, training courses, booking an exam, exam regulations and what happens after an exam - whether you are successful or unsuccessful. Download here Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 15 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total) Other than world-class visuals and slides, this VILT course will include a high level of interaction between the facilitator and participants and group discussion among the participants themselves. There will be a number of exercises & quizzes to demonstrate key points and to give participants the chance to apply learning and appreciate key aspects of best practice. Participants will also have the chance to share examples from their own experience, discuss real problems they are facing and develop actions for improvement when they return to work. Examples of the exercises that are used in this VILT course are as follows: Exercises: Aligning Assets to Business Objectives, Planning for Contingencies, Understanding Function and Failure. Group exercises: Asset Management Decision Making, Incident Review & Operations Optimisation. The workshop content will be adjusted based on the discussions, interests and needs of the participants on the course. Trainer Your expert course leader is a is a highly experienced in maintenance and turnaround specialist. He is a Chartered Mechanical Engineer, having spent 19 years working for BP in engineering, maintenance and turnaround management roles. During this time, he worked on plants at all ages in the lifecycle, from construction, commissioning and operating new assets to maintaining aging assets and decommissioning. He has taken roles in Projects, Human Resources and Integrity Management which give real breadth to his approach. He also specialized in Continuous Improvement, gaining the award of International Petrochemical Coach of the year. He stays up to date with the latest industrial developments through his consulting support for major clients. He is also the Asset Management lead and a VILT specialist, having delivered over 70 days of VILT training in the last year. He has an engaging style and will bring his current industrial experience, proficiency of VILT techniques and diverse content, gathered from a comprehensive training portfolio, to deliver a distinctive training experience. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations
EFQM Performance Improvement Practitioner Course A 2-day deep-dive workshop on RADAR and how to use it as an agile project performance framework. The essential course for anyone wanting to learn more about the RADAR logic and how to build a continuous improvement culture and mindset across your whole organisation. Who is it for? This course is suitable for anyone who wants to understand the RADAR logic and how it can be used to make their organisation more effective. Whilst this training is effective as a stand-alone course; it is also a Level 1 option for anyone considering one of the EFQM qualification routes as a way of progressing their management development and career. Benefits By the end of the course, participants will be able to: Explain the overall RADAR logic Explain the main principles of positive culture and mindset for driving performance Describe how RADAR can be implemented into an organisation to improve performance at every level Identify how to use RADAR to drive the management agenda Apply RADAR across day-to-day initiatives and key projects as an agile project performance framework. Programme The main topics covered during the EFQM Performance Improvement Practitioner training are: RADAR logic and examples of how it can be used Using RADAR to drive the management agenda Using RADAR to drive strategic initiatives Using RADAR to set up strategic KPI’s RADAR as a Performance Improvement Framework Case studies and group exercises RADAR Improvement Matrix self-assessment The training is spread over two days and is delivered in a virtual classroom setting (Zoom or Microsoft Teams), using videos, group discussions, case studies and activities in breakout rooms and presentations from the trainer. Further Development The EFQM Performance Improvement Practitioner training provides core knowledge about the RADAR Logic. In some cases, the training will have fulfilled an individual's learning needs. In many cases, the individual will want to consolidate their learning by applying the theory to a practical task. We encourage you to apply RADAR to a practical, work-based project, and we provide guidance on how to approach and complete your project. Completion of the RADAR Performance Improvement Project also allows you to progress to one of the advanced EFQM qualification programmes: EFQM Performance Improvement Leader, EFQM Assessor or EFQM Organisational Change Leader. EFQM Performance Improvement Leader If you successfully complete the EFQM Performance Improvement Practitioner training and the subsequent project, you are invited to apply for the EFQM Performance Improvement Leader assessment. You will be guided and coached by an EFQM trainer and asked to present your project to the EFQM expert panel. Here you will answer questions about how you applied the RADAR logic and principles (we provide participants with templates for running the project, as well as a high-level mid-term review). You will also receive feedback on how to improve and maximise the use of RADAR for future endeavours. Dates and time: This is a two day on-line workshop delivered on the 31st of January & 7th of February from 9:00 AM to 3:30 PM GMT Cost: £650 + VAT
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