4716 Courses in Liverpool delivered Live Online

About this Virtual Instructor Led Training (VILT)  A decision to drill an exploration well with the objective to find a new oil or gas field must be based on sound assessment of the prospect risk and of the volumes. What is the chance that a well will find hydrocarbons, and how much could it be? Risk and volume assessments form the basis for decisions to drill a well or not, and as such form the link between subsurface evaluation and the business aspects of the petroleum industry. This Virtual Instructor Led Training (VILT) course explains how risks and volumes can be assessed in a realistic manner, based on a sound understanding of the geological details of the prospect as well as its regional geological setting and current play understanding. Participants of this VILT course will receive a softcopy of Risk and Volume Assessment Handbook which explains the concepts that are associated with probabilistic Risk & Volume (R & V) Assessment and contains many practical recommendations on how to translate geological understanding into meaningful inputs for probabilistic R &V assessments. The book is fully compatible with any probabilistic R & V tool in the industry. Training Objectives By the end of this VILT course, participants will be able to understand: The fundamentals of risk and volumes assessment; translating geological understanding into reasonable numbers and ranges. The difference between risk and uncertainty. Fundamentals of statistics; including explanation of distribution curves, understanding of expectation curves, do's and don'ts for adding risked volumes, and Bayes theorem. Uncertainty of trap, reservoir, seal and charge, illustrated by examples. Guidelines and exercises for estimating risks realistically and consistently. Calculating volume ranges for prospects and for portfolios of prospects; how to add prospect volumes for a correct representation of prospect portfolios. Incorporation of geophysical evidence (DHIs) in a realistic risk assessment. Target Audience This VILT course has been designed in the first place for geoscientists working in exploration, for prospect portfolio analysts and for their direct supervisors. It will also benefit staff from disciplines working closely with exploration staff, such as reservoir engineers, petrophysicists and geophysicists. Course Level Intermediate Training Methods Learning, methods and tools The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. It is the intention to have at least 2 smaller exercises per day. Time will be reserved for recapitulation, questions and discussions. VILT will be conducted either via Zoom or Microsoft Teams. Presenting materials can easily be done on this platform. When participants need to ask a question, they can raise their hand, write notes or interrupt the Instructor by using their microphone. The presenter can switch to a screen where he/she can see all participants (also when each participant is sitting in another location e.g. at home). There is also a whiteboard functionality that can be used as one would use a flip chart. Exercises will be done on an online platform which provides each participant with a private work area that can be accessed by the Instructor to discuss the exercise in a similar manner as in a classroom course. Each topic is introduced by a lecture, and learning is re-enforced by practical exercises and discussions. Handout material in electronic format will be provided. Trainer Dr. Jan de Jager has a PhD in Geology from the University of Utrecht. He joined Shell in 1979 as an exploration geologist, and worked in several locations around the world such as Netherlands, Gabon, USA, Australia, Argentina, and Malaysia in technical and management positions. During the last 10 years of his career, he was responsible for the quality assurance of Shell's exploration prospects in many parts of the world and for upgrading and replenishing Shell's global exploration portfolio. During this period, he had also developed extensive expertise in Prospect Risk and Volume assessments for which he ran successful internal training programmes. Following his retirement from Shell in 2010, Dr Jan de Jager took on a position as part-time professor at the University of Amsterdam and also serves as a consultant exploration advisor for various E&P companies. 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

LOOKING FOR: ADULT FICTION, NON-FICTION Emily MacDonald joined 42 management and production company in 2019, working with Eugenie Furniss across her clients. She is now an agent in the Books Department, and is building her own list. Send Emily a story with characters that just won't leave her and a narrative that pulls her in, keeping her immersed in the world well after she has finished reading. She reads across a wide-range and has a particular interest in: book club, high-concept crime/thriller, upmarket and literary fiction. In fiction, Emily would love to find a crime/thriller set within a subcult: a modern retelling of British folklore (think Kamila Shamsie’s Home Fire); an unconventional love story; and a character led journey of self-discovery (especially one set within a diasporic community). Emily is also looking for narrative non-fiction which immerses the reader into an untold true story (personal or historical), exploring a new point of view, and providing a compelling social commentary, with an investigative twist. Think the obsessive vein of Kirk W. Johnson or personal/political dispatches of Aidan Hartley. Emily wants her horizons to expand while she reads. In both fiction and non-fiction, Emily loves stories woven into their surroundings, where the setting is as central a character as those who drive the narrative. In both spheres, she is keen to hear from Scottish and regional voices with stories to tell. Please note, Emily is not currently accepting submissions for Children's lit/YA and SFF. Emily would like you to submit a covering letter, 1 - 2 page synopsis and the first 5,000 words of your manuscript in a single word document. (In addition to the paid sessions, Emily is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Thursday 4th September 2025

Peer Support as an anti-bullying strategy for schools is now routinely recommended by the DCSF and Ofsted. Many schools in the UK have individual schemes which show good practice within their own setting. However, it is rare to find co-ordination of multiple schemes within a Local Authority , or part of a Local Authority, or even within families or clusters of schools. Course Category Behaviour and Relationships Inclusion Peer Support Meeting emotional needs Description Peer Support as an anti-bullying strategy for schools is now routinely recommended by the DCSF and Ofsted. Many schools in the UK have individual schemes which show good practice within their own setting. However, it is rare to find co-ordination of multiple schemes within a Local Authority , or part of a Local Authority, or even within families or clusters of schools. Coordination of schemes provides opportunities for networking, sharing ideas, and mutual support amongst both adults and young peer supporters creates excellent practice. This approach also leads to: Stability and consistency of training A wealth of back up materials for adults and young people Consistent telephone and email support Opportunities for professional development for teachers, Teaching assistants and Learning Mentors Opportunity for national accreditation from MBF Testimonials The Mentoring and Befriending Foundation described this scheme as “a benchmark for Local Authorities Learning Objectives To discover how a centrally led Peer Support scheme enhances and promotes anti-bullying work across a number of schools. To take away from the day the means and the inspiration to set up a local scheme. To deepen insight into impact of strategic approach to peer support To learn about a real way of reducing bullying across a Local Authority Who Is It For ? Suitable for Anti-Bullying Leads Behaviour Support staff CAHMS TAHMS Learning Support and Guidance Staff Childrens Services Support Services Educational Psychologists Course Content The training day will be led by Inclusive Solutions, and a representative from a Local Authority who has successfully managed such a scheme for 10 years. This will be an interactive day with lots of opportunity for questions and exploration. What the day includes: How this work fits with an Inclusive Local Authority Key aspects and issues in running multiple Peer Support schemes from the centre Graphics workshop The 3 legged stool of Peer Support: Selection, Training and Supervision A chance to view and purchase some of the nationally accredited materials successfully used and developed over many years. f you liked this course you may well like: PEER COUNSELLING AS AN ANTI-BULLYING STRATEGY

About this Training Course This course will begin with a presentation of topics to familiarize Process and Instrumentation Engineers with procedures and practices involved in the choice of sensors related to the measurement of temperature, pressure, level and flow in relation to single-phase flows. It will provide guidance on the optimum commercially available devices through a detailed comparison of their relative merits. At the heart of this course is sensor calibration which is a crucial element for these topics. The course will also examine the various types of flow control valve, including Globe, Slide, Needle, Eccentric plug and Ball valves and their characteristics in industrial application, while focusing on the problems of Cavitation and Flashing and methods to minimise or eradicate these issues. With the use of examples, industry case studies and a wide range of videos, this course will also cover all aspects of proportional (P), derivative (D) and integral (I) control. In particular, it will address the advantages and disadvantages of PI and PID control. It will also describe Cascade, Feed forward, Split Range, Override and Ratio Control techniques. Training Objectives By attending this course, participants will acquire the following knowledge and skills: Apply an in-depth knowledge to the measurement of temperature, pressure, level and flow as well as to the fluid mechanics of pipe flows Assess the advantages and disadvantages of the major flowmeter types including the differential pressure, rotary positive displacement, rotary-inferential, electromagnetic, ultrasonic and Coriolis mass flowmeters to determine the optimum choice for a given application Make a considered judgement of the choice of fluid level measurement devices Understand the various types of flow calibration, metering systems and provers Carry out tank measurement and tank calibration methods and to calculate net sellable quantities Discuss valve characteristics & trim selection and illustrate the process of control valve sizing Explain the terms Open and Closed loop Define Process Variable, Measured Variable, Set Point and Error Define Direct and Reverse controller actions Explain the terms Process Lag, Measurement Lag, Transmission Lag, and Response Lag and their effect on controllability Explain ON/ OFF Control and the inherent disadvantages Explain Proportional Control, Offset, Gain and Proportional Band and the advantages and disadvantages of Proportional only control Explain the fundamentals and operation principles of Integral (I) Action and the disadvantages of proportional plus integral control Explain the fundamentals and operation principles of Derivative (D) Action in conjunction with P action Describe the operating principles of a PID Controller and explain the applications and advantages of PID control Describe Cascade, Forward, Split Range and Ratio Control operation principles Target Audience This course will benefit instrumentation, inspection, control, custody metering and process engineers and other technical staff. It is also suitable for piping engineers, pipelines engineers, mechanical engineers, operations engineers, maintenance engineers, plant/field supervisors and foremen and loss control coordinators. Trainer Your expert course leader is a Senior Mechanical & Instrumentation Engineer (UK, B. Sc., M.Eng., Ph D) with over 45 years of industrial experience in Process Control & Instrumentation, Pumps, Compressors, Turbines and Control Valve Technology. He is currently a Senior Independent Consultant to various petrochemical industries in the UK, USA, Oman, Kuwait and KSA where he provides consultancy services on both the application and operational constraints of process equipment in the oil & gas industries. During his early career, he held key positions in Rolls Royce (UK) where he was involved in the design of turbine blading for jet engines, subject to pre-specified distributions of pressure. During this period and since, he has also been closely involved in various aspects of Turbomachinery, Thermodynamics and Fluid Mechanics where he has become a recognised authority in these areas. Later, he joined the academic staff of University of Liverpool in the UK as a Professor in Mechanical Engineering Courses. A substantial part of his work has been concerned with detailed aspects of Flowmetering - both of single & multiphase flows. He has supervised doctoral research students in this area in collaboration with various European flowmeter manufacturers. He joined Haward Technology Middle East in 2002 and was later appointed as European Manager (a post which has since lapsed) and has delivered over 150 training courses in Flowmeasurement (single- and multi-phase), Control, Heat Exchangers, Pumps, Turbines, Compressors, Valve and Valve Selection as well as other topics throughout the UK, USA, Oman and Kuwait. During the last two years, he has delivered courses with other training companies operating in the Far and Middle East. He has published about 150 papers in various Engineering Journals and International Conferences and has contributed to textbooks on the topics listed above. 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

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

QA Level 2 Award In Fire Safety (RQF) Face to Face Classroom: Full day course Online / Virtual Classroom: 3 sessions of 2½ hours Suitable for Fire Wardens/Fire Marshals and all other members of staff Provides a foundation of fire safety knowledge on which employers and ‘responsible persons’ can build, keeping the business safe from fire Benefits of this course: How much do you know about keeping yourself and others safe in the workplace? Fire Safety Law breaches can result in unlimited fines and imprisonment More importantly, how would you feel if someone got injured or even killed by a fire you could have prevented? This course is for anyone who has a specific responsibility for fire safety in the workplace, such as designated fire wardens/fire marshals Successful candidates will gain an understanding of fire safety management at work and the specific roles and responsibilities related to fire safety in the workplace. Course Contents: Causes of Fire in the Workplace The Fire Triangle Hazards during and after a Fire Fire and Smoke Spread Identifying and Controlling Fire Hazards Fire Safety Laws Duties and Responsibilities of Employers and Employees Undertaking a Fire Safety Inspection Fire Safety Risk Assessments Contents of a Fire Safety Briefing Roles and Responsibilities of the Nominated Fire Warden Accredited, Ofqual regulated qualification: Our Fire Safety course is a nationally recognised, Ofqual regulated qualification accredited by Qualsafe Awards.You can rest assured that the training your employees receive is of a high quality and the candidates will get a strong grounding in Fire Safety, helping to keep your staff and your business safe from fire.The Ofqual Register number for this course is 603/2756/X