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Course Overview: This course provides in-depth knowledge of cinematography and directing, including the use of different cameras, lighting setups, metering techniques, and creative direction. Students will learn to master key elements of production and post-production processes. Hourly Session Breakdown: 8 one-hour sessions on Skype.
About this Virtual Instructor Led Training (VILT) Accredited by the United Kingdom Lubricants Association (UKLA), this 4 half-day Virtual Instructor Led Training (VILT) course will provide an in-depth understanding of the principles, economics and flexibility of lubricant blending plants and how to operate a lubricants blending plant efficiently and economically. The latest developments and trends in lubricant blending and the advantages and disadvantages of lubricant blending equipment, facilities and operations will be discussed. The importance of testing components and products for each blend, lubricant blend quality control and product quality management will also be explained. The VILT course will also clarify the importance of lubricant product filling, packaging and warehouse storage, strategies for optimising existing lubricant blending plant facilities and how to avoid or minimise problems with lubricant blending and product quality. The VILT course is recognised under the UKLA Continuing Professional Development (CPD) scheme for Registered Lubricant Professional. *There will be an examination for this VILT. Training Objectives This VILT course will enable you to: Learn about Mineral Oil Base Oils; API Groups I, II and III: Properties and Characteristics Acquire the knowledge about Synthetic Base Oils; API Groups IV and V: Properties and Characteristics Learn about Lubricant Additives: Properties and Characteristics Know the Lubricant Formulation and Ease of Blending Explore the Blending Plant Design: Grassroots Plants and Upgrading Existing Plants Learn about Blending Plant Equipment and Facilities and Their Operation Understand the Lubricant Blending Issues: Avoiding Problems Test and Analyse Base Oils and Additives Test and Analyse Blended Lubricants Explore the importance of Product Quality Control Understand the process of Lubricant Packaging and Filling Understand the process of Lubricant Storage Learn about Product Quality Management Target Audience This VILT course will be useful and applicable for: Middle and Senior managers to understand how and why to design and operate an efficient and profitable lubricant blending plant. Blending plant operators and specialists to improve and optimise current blending plant operations. Manufacturers of lubricants will understand how and why high quality components and effective testing during the entire blending process are important to final lubricant product quality and performance. Lubricant formulators will understand the importance of close communication and co-operation with blending plant managers and operators to minimise blending costs and to thereby maximise product profitability. Course Level Intermediate Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Your expert course leader (CChem, MRC) has worked as Sales, Technical Marketing Manager and Company Director with over 50 years of broad experience in the lubricants, fuels, petroleum additives, with four leading companies Chevron, Ethyl Petroleum Additives Ltd, Texaco Limited and Kuwait Petroleum (GB) Ltd. His major recent responsibilities have been concerned with leading the Oil Industry Association United Kingdom Lubricants Association, and acting in an advisory capacity as Technical Director to the Association. He has acquired a wide experience in technical, marketing and sales within the oil industry. The related experience gained with the oil additives industry has provided him with special additional insights. He has also led the Certificate of Lubricant Competence course for the United Kingdom Lubricants Association (UKLA) for 11 years. He is a Chartered Chemist and a Member of the Royal Society of Chemistry. 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
About this VILT Tripod can be used in any area of business where the organisation has a management system in place to prevent unwanted events e.g., health, safety, environment, quality, security, productivity, project management, and many more Tripod Beta is one of several tools based on Tripod's fundamental principles. Tripod Beta is based on proven theories, man years of academic research, and testing in the workplace. The Swiss Cheese Model originated from this work. Features of the methodology are: 1) the Tripod Beta diagram; it provides an easy-to-read summary of the entire investigation on a single page, 2) it accommodates deficiencies in leadership and worker participation, 3) it accommodates deficiencies in human behaviour, and 4) it highlights missing controls (not just controls that failed). Quality throughout all aspects of Tripod is assured by the Stichting Tripod Foundation (STF) and the Energy Institute. The participants will gain a theoretical understanding of the Tripod Beta methodology and terminology. They will be able to read Tripod diagrams and reports, and be able to assist incident investigation/analysis as a team member. This is the first step to becoming an accredited silver or gold practitioner. Tripod Beta Practitioner Accreditation is meant to build these skills, through a blend of support, coaching and assessments. Feedback is provided on Tripod incident investigation reports, giving the Practitioner the opportunity to hone their skills and become confident in their ability to use Tripod effectively. Training Objectives Upon completion of this course, participants will be able to: Pass the Tripod Beta Practitioner (Bronze Level) exam Act as a team member or Tripod facilitator on an incident investigation Plan and schedule activities for an incident investigation Focus line of enquiry during an investigation Engage with the most relevant people at each stage of the investigation Describe the incident causation paths in terms that align with their management system Consider issues relating to leadership, worker participation and human behaviour Assess the quality of an incident report Apply the process to any type of unwanted event that should have been prevented by a management system e.g., health, safety, environment, financial, security, productivity, quality, project management etc. Combine the findings from many incidents with data from other initiatives e.g., audits and inspections, to spot trends to prioritise actions and product a single improvement plan Target Audience The course is recommended for anyone who is expected to play a role in designing, reviewing, auditing, and following your organizations OH&S management system. Successful participants will be awarded the Stitching Tripod Foundation Tripod Beta Bronze certificate. The following oil & gas company personnel will benefit from the knowledge shared in this course: CEO Team Leaders Legal, insurance and finance departments Managers (Line and Function) Maintenance Engineers Quality Assurance Engineers Process Engineers Incident Investigators (Team member & Tripod facilitator) Project Managers System Custodians Technical Authorities Key Contractor's Management Contract Managers/Holders Safety Representatives Risk Management Engineers HSE Advisors Supervisors Auditors Regulators Course Level Basic or Foundation Trainer Your expert course leader has over 30 years of experience in construction, operations and maintenance with the upstream exploration and production sector. He joined Shell International E&P in 1971 and for 28 years worked in several locations around the world. Following the Piper Alpha incident he led Shell's two year, £10M major overhaul of their permit to work system. He first made use of the Tripod Beta principles during this period and since then he has delivered over 100 Tripod Beta courses in more than 25 locations around the world. He is a Chartered Engineer, a member of the Institution of Engineering and Technology and holds a postgraduate diploma from the University of Birmingham (UK). 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
The IAPP offers the most encompassing, up-to-date and sought-after global training and certification program for privacy and data protection. The Certified Information Privacy Professional (CIPP) helps organizations around the world bolster compliance and risk mitigation practices, and arms practitioners with the insight needed to add more value to their businesses. Skilled privacy pros are in high demand and IAPP certification is what employers want. When you earn an IAPP credential, you earn the right to be recognized as part of an elite group of knowledgeable, capable and dedicated privacy professionals. With the GDPR effective as of May 2018, among its mandates was the requirement to appoint knowledgeable DPOs (data protection officers) tasked with monitoring compliance, managing internal data protection activities, training data processing staff, conducting internal audits and more. There's a lot to know, there's a lot at stake and there's a lot of opportunity for privacy professionals with the right training and education. Achieving a CIPP/E credential shows you have the comprehensive GDPR knowledge, perspective and understanding to ensure compliance and data protection success in Europe-and to take advantage of the career opportunity this sweeping legislation represents. About This Course Delivered in a Modular format, the course includes; Module 1: Data Protection Laws Introduces key European data protection laws and regulatory bodies, describing the evolution toward a Harmonised European Legislative Framework. Module 2: Personal Data Defines and differentiates between types of data-including personal, anonymous, pseudo-anonymous and special categories. Module 3: Controllers and Processors Describes the roles and relationships of controllers and processors. Module 4: Processing Personal Data Defines data processing and GDPR processing principles, Explains the application of the GDPR and outlines the legitimate bases for processing personal data. Module 5: Information provision Explains controller obligations for providing information about data processing activities to data subjects and Supervisory Authorities. Module 6: Data Subjects 'Rights Describes data subjects' rights, applications of rights and obligations controller and processor. Module 7: Security or Processing Discusses considerations and duties of controllers and processors for Ensuring security of personal data and providing notification of data breaches. Module 8: Accountability Investigates accountability requirements, data protection management systems, data protection impact assessments, privacy policies and the role of the data protection officer. Module 9: International Data Transfers Outlines options and obligations for transferring data outside the European Economic Area, Decisions adequacy and appropriateness safeguards and derogations. Module 10: Supervision and Enforcement Describes the role, powers and procedures or Supervisory Authorities; the composition and tasks of the European Data Protection Board; the role of the European Data Protection Supervisor; and remedies, liabilities and penalties for non-compliance. Module 11: Compliance Discusses the applications of European data protection law, legal bases and compliance requirements for processing personal data in practice, employers-including processing employee data, surveillance, direct marketing, Internet technology and communications and outsourcing. Prerequisites There are no prerequisites for this course but candidates would benefit from reading the freely available materials found on the IAPP website. What's Included? 1 years membership of the IAPP Breakfast, Lunch and refreshments (Classroom courses only) Official Study Guide (European Data Protection, Law & Practice)* Participant Guide* Official Exam Q&A* Official Practice Exam Official Practice Exam* The Exam Fees * In electronic format for Live Online and hard copy for Classroom delegates Who Should Attend? The CIPP/E is ideal for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration, including those in the following positions: Cybersecurity Analysts Data Analysts Security Administrators Aspiring Data Protection Officers Accreditation Our Guarantee We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras. The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.
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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.
Asbestos bulk analysts and laboratory analysts. Anyone who manages asbestos analysts or requires a deeper understanding of the asbestos analysis process (e.g. Laboratory Quality Manager) Prior Knowledge and Understanding Candidates for this course are expected to be aware of HSG 248 Asbestos: The Analysts' Guide (July 2021), and in particular Appendix 2: Determination of asbestos in bulk materials. Candidates will preferably have prior experience of analysing bulk samples and may already be participating in a quality control scheme. In addition, candidates are expected to have had training to cover the core competencies outlined within the foundation material detailed within Table A9.1 of HSG248 Asbestos: The Analysts' Guide (July 2021). This may be achieved by In -house learning or through the P400 foundation module.
Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization
A short course in Wellbeing Coaching for individuals who would like to develop coaching skills to support others in improving their wellbeing.