Discover the secrets of the Italian pasta with this online cooking class. Learn how to make pasta according to tradition without the pasta machine.
Learn to sew a child's garment in this long (6 hours ish) day class. I stock the Two Stitches patterns (https://www.twostitchespatterns.com/printed-patterns-1) and one of these is included in your class fee. I also have patterns for quite a few simple baby and toddler garments you can use. Once you ket me know what you want to make and what size I will let you know how much and what kind of fabric you need and what else you need to bring. This is a fairly high paced class so you need to be ok with threading up etc aline and know how to make seams, backstitch etc. The sewing won't be complex but we won't have time to explain how a machine works. If you are not sure please do a beginners or refresher's class first.
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
Overview The development, monitoring, and continued improvement of a highly-integrated, internal audit function is essential for the continued financial success, stability, and growth of world-class business entities. A well-designed and effective internal audit system will provide verification and support that accounting and financial policies, procedures, and controls are working adequately and will spotlight any significant matters that need attention.
Suitable for: Complete beginners TIME: 10am - 4pm Models: Minimum of 3 live models What covered: Introduction to spray tanning Health & safety & hygiene Skin analysis Spray tan What is DHA Skin types Contraindications Pre/post treatment advice Equipment and products Consultation How to spray tan The application Trouble shooting Extra's: Follow up call to find out how your getting on and any questions you may have Small classes (4 maximum) Basic business start up support Social media tips Ongoing support
First Aid training – Emergency First Aid at Work (EFAW) (FAA Award Level 2) is QCF, Ofqual and HSE approved awarding organisation. This course delivered over a minimum of 6 hours is both practical and theoretical covering responsibilities of the first aider, reporting, first aid hygiene, bleeding, shock, seizures, assessments, resuscitation, angina, heart attacks, choking, minor injuries and dealing with an unresponsive casualty, compliant with the latest health and safety executive regulations and guidelines. ATTIRE AND DRESS CODE We would recommend for all female candidates to wear trousers, comfortable shoes so that they can all practice the technique of CPR effectively on the CPR manikins. Dates for 2024 (please choose one for your course): 29 April, 24 June, 30 September, 28 October, 18 November, 23 December Duration : 6 hours (1 day) Time: 9:30am to 5:30pm Fee: £105.00 Location – The Foundry, 156 Blackfriars Rd, London SE1 8EN (Southwark Station (2-3 min walk) and Waterloo/Blackfriars Station (10 min walk)) Two Certificates on completion (available for collection from the Academy in between 7 to 10 days) Regulated Certificate – valid for 3 years Verifiable CPD Certificate – 6 hours
Level 3 SIA Trainer Course is combined of Level 3 Award in Education and Training (former PTLLS) Course, Level 3: Conflict Management Course and Level 3 Award for Physical Intervention Trainers in the Private Security Industry Course. These courses are specifically designed for individuals wishing to become trainers for SIA compliant courses such as: SIA Door Supervision, Security Guarding, CCTV (Public space surveillance), Conflict Management, Vehicle Immobilisation etc courses. ABOUT THIS COURSE: This course consists of following aspects: Introduction to Adult Learning Lesson planning Delivering a lesson Teaching adults Practical teaching sessions How to vary teaching techniques How to recognise and deal with potential problems Assessing how well pupils are learning Teaching equipment and aids Conflict management Physical Intervention COURSE DURATION: It has been designed to be completed by 6 days and assignment afterwards. COURSE ASSESSMENT: For AET / PTLLS, No formal examination is required for this course, but at the end of the course you need to submit portfolio. For level 3 Conflict Management Course; showcase 2 scenario based role in the class, end of the course you need to submit portfolio and they will get assessed. For Level 3 Award for Physical Intervention Trainers in the Private Security Industry Course; demonstrate the PI techniques, they will be recorded, short MCQ Test and end of the course you need to submit portfolio and they will get assessed. If you have a busy life style, you also can spread out this course in two weeks or more to meet your personal commitment. HOW MUCH THIS COURSE COST? Online Course: (AET Online) is £1100.00 (All inclusive no hidden charges). This includes AET Online course, 1 Day CM and 2 days PI training. After successful completion you will receive 3 certificates and PI Licence Agreement which is called PI Master Trainer Licence. Zoom course: (AET Zoom class) is £1150.00 (All inclusive no hidden charges). This includes 3 days AET Zoom course, 1 Day CM and 2 days PI training. After successful completion you will receive 3 certificates and PI Licence Agreement which is called PI Master Trainer Licence. Face to Face Class: (AET Face to Face) is £1200.00 (All inclusive no hidden charges). This includes 3 days AET Class, 1 Day CM and 2 days PI training. After successful completion you will receive 3 certificates and PI Licence Agreement which is called PI Master Trainer Licence.
About this training course Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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