2138 Courses in Edinburgh delivered Live Online

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).

  ISO 37001 Lead Implementer training enables you to develop the necessary expertise to support an organization in establishing, implementing, managing and maintaining an Anti-bribery Management System (ABMS) based on ISO 37001 About This Course   During this training course, you will also gain a thorough understanding of the global anti-corruption best practices of Anti-bribery Management Systems and effectively prevent, detect and address bribery before it negatively impacts an organization's reputation and profits.   After mastering all the necessary concepts of Anti-bribery Management Systems, you can sit for the exam and gain "Certified ISO 37001 Lead Implementer' credential. By holding this Certificate, you will be able to demonstrate that you have the practical knowledge and professional capabilities to implement ISO 37001 in an organization.   Learning objectives   Acknowledge the correlation between ISO 37001 and other standards and regulatory frameworks Master the concepts, approaches, methods and techniques used for the implementation and effective management of an ABMS Learn how to interpret the ISO 37001 requirements in the specific context of an organization Learn how to support an organization to effectively plan, implement, manage, monitor and maintain an ABMS Acquire the expertise to advise an organization in implementing Anti-bribery Management System best practices   Educational approach   This training is based on both theory and best practices used in the implementation of an ABMS Lecture sessions are illustrated with examples based on case studies Practical exercises are based on a case study which includes role playing and discussions Practice tests are similar to the Certification Exam Prerequisites   A foundational understanding of ISO 37001 and knowledge of implementation principles.  What's Included?   Refreshments & Lunch (Classroom only) Course Slide Deck Official Study Guides CPD Certificate The Exam Accreditation Assessment     Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final 12 question, essay type exam on Day 4 of the course. The overall passing score is 70%, to be achieved within the 150 minute time allowance. Exam results are provided within 24 hours, with both a Certificate and a digital badge provided as proof of success.   Provided by   This course is Accredited by NACS and Administered by the IECB. Who Should Attend?   Professionals looking to implement and maintain an Anti-Bribery Management System Compliance officers

The Sales Toolkit workshop has been designed to help you increase your sales performance and skill level for you or your sales team.

Duration 4 Days 24 CPD hours This course is intended for The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications. This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases. Prerequisites In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Prepare to maintain SQL databases on Azure Describe Microsoft Intelligent Data Platform roles Understand SQL Server in an Azure virtual machine Design Azure SQL Database for cloud-native applications Explore Azure SQL Database Managed Instance 2 - Deploy IaaS solutions with Azure SQL Explain IaaS options to deploy SQL Server in Azure Understand hybrid scenarios Explore performance and security Explain high availability and disaster recovery options 3 - Deploy PaaS solutions with Azure SQL Explain PaaS options for deploying SQL Server in Azure Explore single SQL database Deploy SQL database elastic pool Understand SQL database hyperscale Examine SQL managed instance Describe SQL Edge 4 - Evaluate strategies for migrating to Azure SQL Understand compatibility level Understand Azure preview features Describe Azure database migration options 5 - Migrate SQL workloads to Azure SQL databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL Database offline Migrate SQL Server to Azure SQL Database online Load and move data to Azure SQL Database 6 - Migrate SQL workloads to Azure Managed Instances Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed Instance Load and Move data to SQL Database Managed Instance 7 - Configure database authentication and authorization Describe Active Directory and Azure Active Directory Describe authentication and identities Describe Security Principals Describe database and object permissions Identify authentication and authorization failures 8 - Protect data in-transit and at rest Explore Transparent Data Encryption Configure server and database firewall rules Explain object encryption and secure enclaves Enable encrypted connections Describe SQL injection Understand Azure Key Vault 9 - Implement compliance controls for sensitive data Explore data classification Explore server and database audit Implement Dynamic Data Masking Implement Row Level security Understand Microsoft Defender for SQL Explore Azure SQL Database Ledger Implement Azure Purview 10 - Describe performance monitoring Describe performance monitoring tools Describe critical performance metrics Establish baseline metrics Explore extended events Describe Azure SQL Insights Explore Query Performance Insight 11 - Configure SQL Server resources for optimal performance Explain how to optimize Azure storage for SQL Server virtual machines Describe virtual machine resizing Optimize database storage Control SQL Server resources 12 - Configure databases for optimal performance Explore database maintenance checks Describe database scoped configuration options Describe automatic tuning Describe intelligent query processing 13 - Explore query performance optimization Understand query plans Explain estimated and actual query plans Describe dynamic management views and functions Explore Query Store Identify problematic query plans Describe blocking and locking 14 - Evaluate performance improvements Describe wait statistics Tune and maintain indexes Understand query hints 15 - Explore performance-based design Describe normalization Choose appropriate data types Design indexes 16 - Automate deployment of database resources Describe deployment models in Azure Automate deployment by using Azure Resource Manager templates and Bicep Automate deployment by using PowerShell Automate deployment by using Azure CLI 17 - Create and manage SQL Agent jobs Create a SQL Server maintenance plan Describe task status notifications 18 - Manage Azure PaaS tasks using automation Explore Elastic jobs Understand Azure Automation Build an automation runbook Automate database workflows by using Logic Apps Monitor automated tasks 19 - Describe high availability and disaster recovery strategies Describe recovery time objective and recovery point objective Explore high availability and disaster recovery options Describe Azure high availability and disaster recovery features for Azure Virtual Machines Describe high availability and disaster recovery options for PaaS deployments Explore an IaaS high availability and disaster recovery solution Describe hybrid solutions 20 - Explore IaaS and PaaS solutions for high availability and disaster recovery Describe failover clusters in Windows Server Configure Always-on availability groups Describe temporal tables in Azure SQL Database Describe active geo-replication for Azure SQL Database Explore auto-failover groups for Azure SQL Database and Azure SQL Managed Instance 21 - Back up and restore databases Back up and restore SQL Server running on Azure virtual machines Back up a SQL Server virtual machine Back up and restore a database using Azure SQL Database Additional course details: Nexus Humans DP-300T00: Administering Microsoft Azure SQL Solutions 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 DP-300T00: Administering Microsoft Azure SQL Solutions 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.

About this Virtual Instructor Led Training (VILT) Governments, regulators and energy companies are pursuing CO2 storage technologies to meet their net-zero carbon commitments as well as targets set by the international Paris Agreement on climate change. For successfully executing Carbon Capture & Storage (CCS) projects, various technical, operational, economic and environmental risks and associated stakeholders need to be managed. In this 5 half-day Virtual Instructor Led Training (VILT) course, the methods for managing risk in CCS projects are addressed with a focus on CO2 injection and storage. The VILT course will also demonstrate how to assess storage capacity of a potential CO2 storage reservoir, model framing techniques, and well injectivity issues related to CO2 injection. The potential leak paths will be discussed such as reservoir seals, leakage along faults and aspects of well integrity. In the VILT course, the design of a monitoring programme will also be discussed. The VILT course will be supported by various case studies. This VILT course will cover the following modules: CCS projects in an international context Site selection and site characterization Storage capacity assessment Injectivity assessment Containment assessment Measurement, monitoring & verification Training Objectives On completion of this VILT course, participants will be able to: Uncover the functions and associated components required to capture, transport and store CO2 in subsurface aquifers and (depleted) hydrocarbon reservoirs Find a systematic and integrated approach to risk identification and assessment for CO2 storage projects (maturation) Appreciate the requirements (physics modelling) and uncertainties to assess the CO2 storage capacity of a selected site. Understand the challenges, data and methods to assess CO2 well injectivity and well integrity Identify the leakage pathways of a selected storage site, and understand the assessment methods and associated uncertainties Learn how to design a monitoring program Target Audience This VILT course is intended for all surface and subsurface engineers such as facility engineers, geologists, geophysicists, reservoir engineers, petrophysicists, production technologists/engineers, well engineers and geomechanical specialists. Also, (sub)surface team leads, project managers, business opportunity managers, decision executives, and technical risk assessment & assurance specialists will benefit from this VILT course as it provides a common framework and workflow to develop a CCS project. For each class, it is highly recommended that a mix of disciplines mentioned above are represented to facilitate discussions from different perspectives. Course Level Basic or Foundation Training Methods This VILT course is built around cases in which teams work to identify and assess CO2 storage site issues using a systematic thought approach in this course. In addition, exercises are used to practise the aspects of the CCS risk assessment process. The VILT course provides a venue for discussion and sharing of good practices as well as opportunities to practise multi-discipline co-operation and facilitation. Participants are encouraged to bring their own work issues and challenges and seek advice from the expert course leaders and other participants about all aspects of CCS. This VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Trainer Trainer 1: Your expert course leader has more than 36 years of experience in the oil & gas industry with Shell. He gained broad experience in petroleum engineering, with expertise in integrated production systems from subsurface, wells and surface. He has had assignments in Production Technology, R&D, Production Chemistry, Rock Mechanics and Reservoir Engineering cEOR, with a proven track record in technology screening, development and deployment, field development planning, conceptual well design and Production System Optimization (PSO) of gas and oil fields as well as preparing Well, Reservoir & Facility Management (WRFM) strategies and plans. He had also worked on assignments in NAM and did fieldwork in Oman, Gabon and Shell Nigeria. He is a skilled workshop facilitator. He discovered his passion for teaching following an assignment in Shell Learning. During his time in Shell, he developed and taught technical courses to Shell professionals via blended learning. Trainer 2: Your second expert course leader has over 30 years of experience identifying, assessing and mitigating technical risks with Shell. The main focal point of his experience is in subsurface and Geomechanical risks. He is the the founding father of various innovations in how we assess risks by tool development (for bore hole stability, 3D geomechanical field evaluations and probabilistic assessment). He also developed an eye for people motivation, change management and facilitation. He was also responsible for the Geomechanical competence framework, and associated virtual and classroom training programme in Shell for 10 years. Trainer 3: Your third expert course leader has more than 30 years of experience in Shell, focusing on research and development in drilling and offshore systems. His areas of expertise is in project management, finance, business planning, investment, development studies and economics models. In 2021, he worked on a project that looked into the economic evaluation of P18A field complex for CO2 storage. He has an MSc in Mechanical Engineering (M.E.) TU Delft Netherlands (Hons) and a baccalaureate from Erasmus University Rotterdam. 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 Training Course This 5 full-day course provides a comprehensive understanding of all the maintenance, inspection, diagnostics, testing, troubleshooting, refurbishment, and protective systems of all key electrical equipment including: transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries. It will cover in detail all the inspection methods and tests required to identify faults and deficiencies in electrical equipment, as well as, the repair techniques and available refurbishment methods. The course will also cover the activities required to commission this equipment and it will also cover all protective systems associated with this equipment. The objective of the seminar is to maximize the efficiency, reliability, and longevity of this type of equipment by providing an understanding of the common problems and repair techniques, preventive and predictive maintenance. Training Objectives Electrical Equipment Testing and Maintenance: Gain a thorough understanding of all the testing and maintenance required for all key electrical equipment including transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries Electrical Equipment Inspection and Diagnostics: Learn about the inspection and diagnostics required for all the components of transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries Electrical Equipment Troubleshooting: Determine all the troubleshooting activities required to minimize the downtime and operating cost of transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries Electrical Equipment Online Condition Monitoring: Learn about online condition monitoring of transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries Electrical Equipment Repair and Refurbishment: Obtain a detailed understanding of the various methods used to repair and refurbish transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries Efficiency, Reliability, and Longevity: Learn the various methods used to maximize the efficiency, reliability, and longevity of transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries Rotating Equipment Vibration Analysis and Balancing Methods: Learn about vibration analysis and balancing methods of motors and generators. Electrical Equipment Codes and Standards: Learn all the codes and standards applicable for transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries Equipment Causes and Modes of Failure: Understand the causes and modes of failure of transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries Generator Upgrades and Rewinds: Learn the various methods used to upgrade and rewind a generator Protective Systems: Obtain a detailed understanding of all protective systems required for transformers, inverters, rectifiers, switchgear and circuit breakers, relays and protective devices, cables and accessories, motors, variable frequency drives, uninterruptible power systems, generators, fuses, and industrial batteries Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals (this course is suitable for individuals who do not have an electrical background) Course Level Basic or Foundation Training Methods Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all 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 to their own organization. Each delegate will receive a copy of the following materials written by the instructor: The relevant material of the 'ELECTRICAL EQUIPMENT HANDBOOK' published by McGraw-Hill in 2003 (600 pages) Electrical Equipment Maintenance, inspection, diagnostics, testing, troubleshooting, refurbishment, and protective systems Manual (500 pages) Trainer Your specialist course leader has more than 32 years of practical engineering experience with Ontario Power Generation (OPG), one of the largest electric utility in North America. He was previously involved in research on power generation equipment with Atomic Energy of Canada Limited at their Chalk River and Whiteshell Nuclear Research Laboratories. While working at OPG, he acted as a Training Manager, Engineering Supervisor, System Responsible Engineer and Design Engineer. During the period of time, he worked as a Field Engineer and Design Engineer, he was responsible for the operation, maintenance, diagnostics, and testing of gas turbines, steam turbines, generators, motors, transformers, inverters, valves, pumps, compressors, instrumentation and control systems. Further, his responsibilities included designing, engineering, diagnosing equipment problems and recommending solutions to repair deficiencies and improve system performance, supervising engineers, setting up preventive maintenance programs, writing Operating and Design Manuals, and commissioning new equipment. Later, he worked as the manager of a section dedicated to providing training for the staff at the power stations. The training provided by him covered in detail the various equipment and systems used in power stations. In addition, he has taught courses and seminars to more than four thousand working engineers and professionals around the world, specifically Europe and North America. He has been consistently ranked as 'Excellent' or 'Very Good' by the delegates who attended his seminars and lectures. He written 5 books for working engineers from which 3 have been published by McGraw-Hill, New York. Below is a list of the books authored by him; Power Generation Handbook: Gas Turbines, Steam Power Plants, Co-generation, and Combined Cycles, second edition, (800 pages), McGraw-Hill, New York, October 2011. Electrical Equipment Handbook (600 pages), McGraw-Hill, New York, March 2003. Power Plant Equipment Operation and Maintenance Guide (800 pages), McGraw-Hill, New York, January 2012. Industrial Instrumentation and Modern Control Systems (400 pages), Custom Publishing, University of Toronto, University of Toronto Custom Publishing (1999). Industrial Equipment (600 pages), Custom Publishing, University of Toronto, University of Toronto, University of Toronto Custom Publishing (1999). Furthermore, he has received the following awards: The first 'Excellence in Teaching' award offered by PowerEdge, Singapore, in December 2016 The first 'Excellence in Teaching' award offered by the Professional Development Center at University of Toronto (May, 1996). The 'Excellence in Teaching Award' in April 2007 offered by TUV Akademie (TUV Akademie is one of the largest Professional Development centre in world, it is based in Germany and the United Arab Emirates, and provides engineering training to engineers and managers across Europe and the Middle East). Awarded graduation 'With Distinction' from Dalhousie University when completed Bachelor of Engineering degree (1983). Lastly, he was awarded his Bachelor of Engineering Degree 'with distinction' from Dalhousie University, Halifax, Nova Scotia, Canada. He also received a Master of Applied Science in Engineering (M.A.Sc.) from the University of Ottawa, Canada. He is also a member of the Association of Professional Engineers in the province of Ontario, Canada. 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