2276 Tea courses in Cardiff 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

Historical Association webinar series: Practical approaches to disciplinary concepts in primary history Presenter: Emmy Quinn This session will show practical ways to introduce change and continuity to children, starting from the basics of change between a time in the past and today; to change and continuity within and across time periods. The session will give practical examples of how to frame a unit around change and continuity and how to demonstrate it within individual lessons. To use your corporate webinar offer for this webinar please complete this form: https://forms.office.com/e/95945xGxdh

Duration 3 Days 18 CPD hours This course is intended for This course is intended for IT professionals who are experienced in general Windows Server and Windows Client administration. Students should have a foundational knowledge of Windows PowerShell, which they can obtain by taking course 10961C: Automating Administration with Windows PowerShell. In addition, this course provides scripting guidance for Microsoft Azure administrators and developers who support development environments and deployment processes. Overview After completing this course, you will be able to: Create advanced functions. Use Microsoft .NET Framework and REST API in Windows PowerShell. Handle script errors. Use XML, JSON, and custom formatted data. Manage Microsoft Azure resources Analyze and debug scripts Understand Windows PowerShell workflow. This course teaches students how to automate administrative tasks using PowerShell. Students will learn crucial scripting skills such as creating advanced functions, writing controller scripts, and handling script errors. Candidates will learn how to use PowerShell when working with Microsoft Azure, SQL Server, Active Directory, IIS, Windows PowerShell Workflow, .NET resources, the REST API and XML, CSV & JSON formatted data files.This course replaces retired Microsoft course 10962. Module 1: Creating advanced functions Lesson 1: Converting a command into an advanced function Lesson 2: Creating a script module Lesson 3: Defining parameter attributes and input validation Lesson 4: Writing functions that accept pipeline input Lesson 5: Producing complex pipeline output Lesson 6: Using comment-based Help Lesson 7: Using Whatif and Confirm parameters Module 2: Using Microsoft .NET Framework and REST API in Windows PowerShell Lesson 1: Using .NET Framework in PowerShell Lesson 2: Using REST API in PowerShell Module 3: Writing controller scripts Lesson 1: Understanding controller scripts Lesson 2: Writing controller scripts with a user interface Lesson 3: Writing controller scripts that create reports Module 4: Handling script errors Lesson 1: Understanding error handling Lesson 2: Handling errors in a script Module 5: Using XML, JSON, and custom-formatted data Lesson 1: Working with XML formatted data Lesson 2: Working with JSON formatted data Lesson 3: Working with custom-formatted data Module 6: Enhancing server management with Desired State Configuration and Just Enough Administration Lesson 1: Implementing Desired State Configuration Lesson 2: Implementing Just Enough Administration Module 7: Analyzing and debugging scripts Lesson 1: Debugging in Windows PowerShell Lesson 2: Analyzing and debugging an existing script Module 8: Understanding Windows PowerShell Workflow Lesson 1: Understanding Windows PowerShell Workflows Lesson 2: Running Windows PowerShell Workflows

Duration 3 Days 18 CPD hours This course is intended for This course is for Network Engineers looking to specialize in Azure networking solutions. An Azure Network engineer designs and implements core Azure networking infrastructure, hybrid networking connections, load balance traffic, network routing, private access to Azure services, network security and monitoring. The azure network engineer will manage networking solutions for optimal performance, resiliency, scale, and security. This course teaches Network Engineers how to design, implement, and maintain Azure networking solutions. This course covers the process of designing, implementing, and managing core Azure networking infrastructure, Hybrid Networking connections, load balancing traffic, network routing, private access to Azure services, network security and monitoring. Learn how to design and implement a secure, reliable, network infrastructure in Azure and how to establish hybrid connectivity, routing, private access to Azure services, and monitoring in Azure. Prerequisites Prerequisite courses (or equivalent knowledge and hands-on experience): AZ-104T00 - Microsoft Azure Administrator 1 - Introduction to Azure Virtual Networks Explore Azure Virtual Networks Configure public IP services Design name resolution for your virtual network Enable cross-virtual network connectivity with peering Implement virtual network traffic routing Configure internet access with Azure Virtual NAT 2 - Design and implement hybrid networking Design and implement Azure VPN Gateway Connect networks with Site-to-site VPN connections Connect devices to networks with Point-to-site VPN connections Connect remote resources by using Azure Virtual WANs Create a network virtual appliance (NVA) in a virtual hub 3 - Design and implement Azure ExpressRoute Explore Azure ExpressRoute Design an ExpressRoute deployment Configure peering for an ExpressRoute deployment Connect an ExpressRoute circuit to a virtual network Connect geographically dispersed networks with ExpressRoute global reach Improve data path performance between networks with ExpressRoute FastPath Troubleshoot ExpressRoute connection issues 4 - Load balance non-HTTP(S) traffic in Azure Explore load balancing Design and implement Azure load balancer using the Azure portal Explore Azure Traffic Manager 5 - Load balance HTTP(S) traffic in Azure Design Azure Application Gateway Configure Azure Application Gateway Design and configure Azure Front Door 6 - Design and implement network security Get network security recommendations with Microsoft Defender for Cloud Deploy Azure DDoS Protection by using the Azure portal Deploy Network Security Groups by using the Azure portal Design and implement Azure Firewall Secure your networks with Azure Firewall Manager Implement a Web Application Firewall on Azure Front Door 7 - Design and implement private access to Azure Services Explain virtual network service endpoints Define Private Link Service and private endpoint Integrate private endpoint with DNS Integrate your App Service with Azure virtual networks 8 - Design and implement network monitoring Monitor your networks using Azure monitor Monitor your networks using Azure network watcher

Five half-day Leadership modules with mini work placed projects to bring the learning into action in the workplace.

Four half-day Leadership modules with mini work placed projects to bring the learning into action in the workplace.

About this Training Course Managed Pressure Drilling (MPD) offers opportunities to improve safety and efficiency in drilling, and it is increasingly recognised by operators and regulators. MPD aims to cost effectively resolve chronic drilling problems that contribute to non-productive time. This 3 full-day course provides participants with an understanding of the MPD techniques and equipment. The course starts with the design requirements for an MPD operation. It covers all MPD methods, including constant bottom hole pressure and mud cap drilling operations. It also includes all of the rig types - both onshore and offshore - and MPD. MPD equipment is presented in detail and the design aspects of the well are also examined. Training Objectives This course aims to provide participants with a good understanding of the various aspects of managed pressure drilling. It also enables participants to gain knowledge of planning MPD operations, type of equipment and the equipment requirements for both onshore and offshore and MPD operations. At the end of the course, participants will be able to: Understand the variations in MPD Design MPD operations for various techniques Understand the engineering requirements of MPD Define MPD equipment requirements Understand operational and well control aspects of MPD Target Audience This course is designed for engineers, managers and service providers who are about to use MPD techniques and are trying to better understand the associated complexities and challenges surrounding MPD. Trainer Your expert course leader was born and raised in Nijmegen, Netherlands. He holds an MSc in Drilling Engineering from The Robert Gordon University in Aberdeen and has over 39 years of oilfield experience. He started in the industry back in 1977 as a Mud logger before becoming a wellsite drilling engineer in 1980 working mainly in the Middle East and West Africa. In 1988, he joined Shell in in the Southern North Sea. In 1995, he joined Smedvig in Norway and worked on a number of deepwater wells as well as on underbalanced drilling operations. In 1999, he started Leading Edge Advantage in Aberdeen and worked in coiled tubing, underbalanced and managed pressure drilling. In 2004, he joined Weatherford as Regional Engineering Manager in Singapore and developed the first ultra deepwater MPD systems. In 2010, he joined SPT Group specializing in well control and hydraulics modelling. SPT Group was later acquired by Schlumberger in 2012. At Schlumberger, he was Drilling Adviser, with a focus on well control, relief well planning and MPD. During that time, he was also an instructor for NExT teaching numerous well engineering courses. In 2015, he joined Wild Well as Engineering Manager in Asia and in February 2017, he became an independent consultant concentrating on provision of drilling engineering training. He has written and presented numerous papers and authored several chapters in the SPE Advanced Technology books. He is an active committee member and speaker on numerous SPE Workshops around the world. 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

About this Virtual Instructor Led Training (VILT)  Electrical machines, mainly power transformers and electric motors are critical equipment that run production, and it must operate without any abnormalities. A wide variety of tests and standards have been developed to assist manufacturers and users of motors and transformer winding, assess the condition of the electrical insulation. The objective of this training course is to provide an understanding of power transformers and electric motors, their materials, components, and how they operate. It will also emphasize the importance of transformer life management, especially for those transformers and electric motors which have been in operation for than 10 years. The course will address in detail all aspects related to transformer principles, calculations, operation, testing and maintenance. Training Objectives This course aims to provide participants with the understanding of the fundamentals and constructional features of power transformers and electric motors, with particular reference to the design, testing, operation and maintenance of transformers in power systems. Delegates will gain a detailed appreciation of the following: Practical solutions for specifying, operating and maintaining power transformers and electric motors in a utility or plant environment Comprehensive understanding of principles, protection, maintenance and troubleshooting of power transformers and electric motors The necessary safe procedures relating to transformer operation and related circuitry Understand the principles of operation of the transformer and electric motors Identify the different features of power transformers and electric motors Appreciate the principles of transformer design, ratings, winding, core structure and materials, insulation and cooling methods, insulation and lifetime Utilize thermal limits and loading guides of transformers Analyze transformer and electric motors failure modes Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 half-day sessions comprising 4 hours per day, with 1 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. Trainer Our key expert is actively involved in electrical inspections, energy audits, energy efficiency and technical consultation for M&E activities for industrial and commercial sectors. He is involved in testing and commissioning works of factory substations of up to 132kV system. He previously worked for Jimah coal-fired power plant in Port Dickson for 9 years with his last position being Electrical Maintenance Section Head. He was involved in the commissioning of coal-fired power plant mainly with 500kV generator transformer, 934 MVA generator, and up to 33kV MV motors and switchgear panels. Our key expert has managed the maintenance team to perform routine maintenance activities (together with supporting tools such as motor lube oil analysis, infrared thermography analysis, transformer oil analysis) & electrical troubleshooting and plant outages for critical and non-critical equipment. Besides that, our key expert has published several IEEE conference papers and journals such as: (2009). Effectiveness of auxiliary system monitoring & continuous hydrogen scavenging operation on hydrogen-cooled generator at power plant. In Energy and Environment, 2009. ICEE 2009. 3rd International Conference on (pp. 151-160). IEEE. (2010). Study on electric motor mass unbalance based on vibration monitoring analysis technique. In Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on (pp. 539-542). IEEE. (2012). Re-Design of AC Excitation Busduct based on Infrared (IR) Thermography: Condition-Based Monitoring (CBM) data analysis. eMaintenance, 101. (2016). Energy Saving Studies for a University Campus: An Educational-Based Approach, 3rd International Conference on Language, Education, Humanities and Innovation 2016. 'Grid-tied photovoltaic and battery storage systems with Malaysian electrcity tariff - A review on maximum demand shaving.' Energies 10.11 (2017): 1884 'Techno-Economic Optimization of Grid-Connected Photovoltaic (PV) and Battery Systems Based on Maximum Demand Reduction (MDRed) Modelling in Malaysia.' Energies 12.18 (2019): 3531 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

Five half-day Leadership modules with mini work placed projects to bring the learning into action in the workplace.

Duration 3 Days 18 CPD hours This course is intended for New, soon-to-be or future IT managers & those working toward their ITMLE Certification will benefit from this course. Overview Developed by an experienced CIO, and then vetted by a board of senior IT industry executives, the ITMLP shows that those who successfully complete the ITMLP Final Exam bring credible and validated industry knowledge to the organizations they serve. The IT Management & Leadership Professional Bootcamp (ITMLP) is the first step for full IT Executive Certification (ITMLE). This Bootcamp covers IT topics vital to success for new/would-be IT managers. Technical Leadership Life as a Technical Manager Influence-Based Technical Leadership Managing Hybrid and Virtual IT Teams IT Methodology and Innovation Methodology Overview IT Megatrends Creating Innovative IT Solutions Business of IT IT Funding and Cost Center Management IT Vendor Management IT Internal Client Service