3881 Courses in Cardiff delivered Live Online

This online PLC training course is done as a live classroom, using an online virtual classroom platform with live classes and a tutor present throughout the course. Not just an e-Learning package, this is a REAL LIFE classroom, giving you the opportunity to interact with the tutor. This course is fully interactive and a free copy of the software to each attendee which the tutor can view and give feedback on. The course is the best possible online experience you can have with a fully accredited certificate on completion of the exam. All instructions for installing the software and licencing it will be given prior to the course beginning. No prior knowledge is required for this course as it starts from scratch and assumes no previous experience, you will reach the skilled level where you can look at becoming a programmer, get into engineering maintenance in an industrial environment, fault find or make amendments to programs, this is the course for you. The ‘Typical’ 5 day course covers 2 of the major manufacturers, Siemens S7 and Allen Bradley (but will be slightly bias towards Allen Bradley due to the simulation software being used, which will also be given to you to keep). The course aims to be 90% practical, as we believe the easiest way to learn is to do it! A full set of course notes and manuals will be emailed to you.

This online PLC training course is done as a live classroom, using an online virtual classroom platform with live classes and a tutor present throughout the course. Not just an e-Learning package, this is a REAL LIFE classroom, giving you the opportunity to interact with the tutor. This course is fully interactive and a free copy of the software to each attendee which the tutor can view and give feedback on. The course is the best possible online experience you can have with a fully accredited certificate on completion of the exam. All instructions for installing the software and licencing it will be given prior to the course beginning. No prior knowledge is required for this course as it starts from scratch and assumes no previous experience, you will reach the skilled level where you can look at becoming a programmer, get into engineering maintenance in an industrial environment, fault find or make amendments to programs, this is the course for you. The course covers 2 of the major manufacturers, Siemens S7 and Allen Bradley (but will be slightly bias towards Allen Bradley due to the simulation software being used, which will also be given to you to keep). The course aims to be 90% practical, as we believe the easiest way to learn is to do it! A full set of course notes and manuals will be emailed to you.

A pioneering provider of independent mentoring services  For adults who are training to be teachers and Early Career Teachers (ECTs), our mission is to support and empower aspiring educators as they navigate their journey towards becoming skilled and confident professionals in the teaching profession. As a mentorship program tailored specifically for adults pursuing a teaching career, we understand the unique challenges and expectations placed upon trainees in the profession. We are committed to providing comprehensive and personalised support to help trainees meet the teaching standards set by the Department for Education in England. The teaching standards and expectations in England Our experienced mentors are well-versed in the teaching standards and expectations in England. We provide guidance and practical assistance to trainees in areas such as lesson planning, classroom management, assessment strategies, and creating inclusive learning environments. Our aim is to help trainees develop a deep understanding of the curriculum, pedagogical approaches, and effective teaching techniques. Planning Planning is a crucial aspect of a teacher's role, and we offer specialised support to trainees in this area. Our mentors work closely with trainees to develop effective lesson plans that align with curriculum requirements and engage students in meaningful learning experiences. We provide guidance on designing differentiated instruction to meet the diverse needs of students, fostering a supportive and inclusive classroom environment. Confidence Confidence is essential for success in the teaching profession, and we are dedicated to helping trainees build their self-assurance. Our mentors provide individualised coaching and feedback, helping trainees develop their teaching skills, classroom presence, communication abilities, and interpersonal skills with other staff. We create a safe and supportive environment where trainees can explore their strengths, identify areas for growth, and gain the confidence needed to deliver impactful lessons and engage with students and the wider school community effectively. High quality resources In addition to planning and confidence-building, GLA Tutorsoffers a range of other support services to trainees. We provide resources and guidance on effective behavior management strategies, assessment and feedback techniques, and effective use of technology in the classroom. Our mentors also offer guidance on professional development opportunities, helping trainees stay updated with the latest educational research and best practices in teaching. A collaborative and ongoing process At GLA Tutors, we believe that mentorship is a collaborative and ongoing process. Our mentors build strong relationships with trainees, offering ongoing support, guidance, and encouragement throughout their training and early career stages. We understand the challenges and triumphs that trainees may encounter, and we are dedicated to helping them navigate their journey towards becoming successful and impactful teachers. ChooseGLA Tutorsas your trusted partner in your teaching journey. With our experienced mentors, personalised support, and comprehensive resources, we are committed to helping you meet the teaching standards, develop as a confident educator, and make a positive impact in the lives of your students.  Invest in your future as a teacher and join us at GLA Tutors today.

Unlock Your Potential as a Learning & Development Practitioner with Our Level 3 Course This qualification allows candidates to learn, develop and practice the skills required for employment and a career in Learning & Development. The content covers all essential areas of learning & development and is mapped out to the institute of apprenticeships standards. It’s a work-based program combining on-the-job training with classroom learning, equipping you with skills to support employee learning and development (L&D) within an organisation. Learn about the Cavity Training Learning & Development Practitioner Course You will be introduced to the role and responsibilities and essential attributes and behaviours required in the various L&D roles that may be required for effective learning and development in an organisation. Additionally, it will teach you the policies and processes required for effective organisation learning. You will learn how to identify and analyse learning needs, establish team and individual capability and learning gaps, in line with organisational performance outcomes and to enable effective evaluation. This may include the needs of the staff impacted by the move to a net carbon zero economy by 2050 and the requirements for a just transition. Fees This course can be completed as an government funded apprenticeship, through Cavity Training, or as a privately funded course for £2500. You can either pay as a lump sum or alternatively, you can split into 12 instalments. Entry Requirements Whilst any entry requirements will be a matter for individual employers, typically an apprentice will have an area of technical, vocational or behavioural expertise in which the organisation needs others to acquire through training. And a minimum of English & Maths GCSE. Structure Our candidates are trained to the highest standards and are fully supported to develop all of the knowledge, skills and behaviours required to be an outstanding Learning & Development practitioner. The course duration is typically 18-24 months. Knowledge Our course is delivered via live training webinars with specialist tutors. Skills and Behaviours You will be appointed a designated Learning & Skills Teacher, who will coach you through your qualification and complete regular assessments with you to support you to complete your qualification. You will have weekly contact from your tutor. How we compare with our competitors? Don't just take our word for it, here is what our staff think Bridget I did my course years ago. It was classroom based one night per week. I think I would prefer to be more ‘hands on’ like it is now. Cavity really are a great company to work for. I truly believe that there expertise will ensure the next generation are amazing! Gina I did mine over an apprenticeship but the company my employer used wasn’t great and I didn’t get much support. Although I passed I can only imagine the length that Cavity have gone to to ensure that the students feel supported. As an employee, its super! Enquire Today

A one-day training course for all staff in special schools and colleges, to increase confidence and skills providing RSE and pastoral support to learners.

Duration 1 Days 6 CPD hours Overview After completing this course, students will know how to: - Identify difficult personality types and the effect they can have in an organization - Manage difficult employees and monitor their behavior - Document ongoing changes in behavior and performance - Communicate clearly and effectively, both verbally and nonverbally - Improve your listening skills - Communicate with difficult supervisors and co-workers - Identify types of employee dismissals - Identify the focus of feedback and give and receive feedback effectively - Provide positive and constructive feedback - Monitor performance afterwards - Identify communication styles - Manage difficult feedback sessions and identify when to avoid giving feedback - Identify some common myths associated with workplace conflicts, common reasons that conflicts arise, and types of workplace conflict - Distinguish between conflict management and conflict resolution - Identify conflict resolution styles, resolve workplace conflicts, including team conflicts, and identify the communication skills required to In this course, students learn to identify and manage difficult employees, monitor their behavior, develop clear and effective communications techniques, give and receive feedback, identify workplace conflicts and present resolutions. 1 - Getting Started Workshop Objectives 2 - The Basics What is Performance Management? How Does Performance Management Work? Tools Case Study 3 - The Basics (II) Three Phase Process Assessments Performance Reviews Case Study 4 - Goal Setting SMART Goal Setting Specific Goals Measurable Goals Attainable Goals Realistic Goals Timely Goals Monitoring Results Case Study 5 - Establishing Performance Goals Strategic Planning Job Analysis Setting Goals Motivation Case Study 6 - 360 Degree Feedback What is 360 Degree Feedback? Vs. Traditional Performance Reviews The Components Case Study Module Six: Review Questions 7 - Competency Assessments Competency Assessment Defined Implementation Final Destination Case Study 8 - Kolb's Learning Cycle Experience Observation Conceptualization Experimentation Case Study 9 - Motivation Key Factors The Motivation Organization Identifying Personal Motivators Evaluating and Adapting Case Study 10 - The Performance Journal Record Goals and Accomplishments Linking with Your Employees or Managers Implementing a Performance Coach Keeping Track Case Study 11 - Creating a Performance Plan Goals Desired Results Prioritization Measure Evaluation Case Study 12 - Wrapping Up Words from the Wise Lessons Learned Additional course details: Nexus Humans Performance Management 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 Performance Management 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 training Decarbonization of the Upstream Oil & Gas sector has previously been based on inter-fuel competition. Market actions were seen as the most effective method for reducing the level of emissions. However, the pace of decarbonization is now being led by government policy acting in concert with a coalition of stakeholders such as investors and consumers. The primary focus of this pathway is on the management of carbon emissions to both mitigate and adapt to climate change. Some energy analysts have forecast that global production of oil and natural gas will have to decline annually by 4 to 6 percent in order to meet the global target of Net Zero Emissions by 2050. Oil and gas producers face a difficult challenge in deciding upon the strategy and measures that will best achieve targets set for them while maintaining supply, attracting investments and accessing markets. This 2-day training course will provide participants with an understanding of the strategies and measures for decarbonizing the Upstream Oil and Gas sector within the framework of measures implemented by individual governments through their respective commitments to reduce emissions to achieve their National Determined Contribution under the Paris Agreement. This course offers a unique opportunity to understand the rapidly increasing issues confronting the industry as well as the options for the management of carbon emissions to comply with corporate as well as national policies and the implementation of measures for controlling, reporting and verification. Training Objectives Upon completion of this course, participants will be better equipped to participate in the implementation of measures for the management of carbon emissions in the following areas: Implementation of measures for reducing carbon emissions Establishing systems for monitoring and reporting carbon emissions Evaluating the commerciality of discoveries Reviewing and strategizing future field development plans Meeting Environmental Obligations Target Audience This course has been specifically designed for professionals involved in the international oil and gas industry, whether employed a field operator, national oil company, or government. It offers a unique opportunity to rapidly increase your understanding of the issues confronting the industry as well as the options for the management of carbon emissions to comply with corporate as well as national policies and the implementation of measures for controlling, reporting and verification. Staff with the following roles will find this course particularly useful: Corporate Planners Project Engineers Financial Analysts Environmental Specialists Legal Advisors Regulatory & Compliance Officers Course Level Basic or Foundation Trainer Your expert course leader is an international legal expert in petroleum law who has been listed in the Guide to the World's Leading Energy and Natural Resources Lawyers. In his thirty years of practice, he has been the lead negotiator and acquisitions advisor for oil and gas companies in the US and the Asia-Pacific. These transactions have included both upstream (licences and leases) and downstream (refineries and pipelines) assets. He has been appointed as Distinguished Visiting Professor in Oil and Gas at the University of Wyoming and Honorary Professor at the Centre for Energy, Petroleum & Mineral Law & Policy (CEPMLP) at Dundee University. 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

Securing UNIX systems training course description This course teaches you everything you need to know to build a safe Linux environment. The first section handles cryptography and authentication with certificates, openssl, mod_ssl, DNSSEC and filesystem encryption. Then Host security and hardening is covered with intrusion detection, and also user management and authentication. Filesystem Access control is then covered. Finally network security is covered with network hardening, packet filtering and VPNs. What will you learn Secure UNIX accounts. Secure UNIX file systems. Secure UNIX access through the network. Securing UNIX systems course details Who will benefit: Linux technical staff needing to secure their systems. Prerequisites: Linux system administration (LPIC-1) Duration 5 days Securing UNIX systems course contents Cryptography Certificates and Public Key Infrastructures X.509 certificates, lifecycle, fields and certificate extensions. Trust chains and PKI. openssl. Public and private keys. Certification authority. Manage server and client certificates. Revoke certificates and CAs. Encryption, signing and authentication SSL, TLS, protocol versions. Transport layer security threats, e.g. MITM. Apache HTTPD with mod_ssl for HTTPS service, including SNI and HSTS. HTTPD with mod_ssl to authenticate users using certificates. HTTPD with mod_ssl to provide OCSP stapling. Use OpenSSL for SSL/TLS client and server tests. Encrypted File Systems Block device and file system encryption. dm-crypt with LUKS to encrypt block devices. eCryptfs to encrypt file systems, including home directories and, PAM integration, plain dm-crypt and EncFS. DNS and cryptography DNSSEC and DANE. BIND as an authoritative name server serving DNSSEC secured zones. BIND as an recursive name server that performs DNSSEC validation, KSK, ZSK, Key Tag, Key generation, key storage, key management and key rollover, Maintenance and resigning of zones, Use DANE. TSIG. Host Security Host Hardening BIOS and boot loader (GRUB 2) security. Disable useless software and services, sysctl for security related kernel configuration, particularly ASLR, Exec-Shield and IP / ICMP configuration, Exec-Shield and IP / ICMP configuration, Limit resource usage. Work with chroot environments, Security advantages of virtualization. Host Intrusion Detection The Linux Audit system, chkrootkit, rkhunter, including updates, Linux Malware Detect, Automate host scans using cron, AIDE, including rule management, OpenSCAP. User Management and Authentication NSS and PAM, Enforce password policies. Lock accounts automatically after failed login attempts, SSSD, Configure NSS and PAM for use with SSSD, SSSD authentication against Active Directory, IPA, LDAP, Kerberos and local domains, Kerberos and local domains, Kerberos tickets. FreeIPA Installation and Samba Integration FreeIPA, architecture and components. Install and manage a FreeIPA server and domain, Active Directory replication and Kerberos cross-realm trusts, sudo, autofs, SSH and SELinux integration in FreeIPA. Access Control Discretionary Access Control File ownership and permissions, SUID, SGID. Access control lists, extended attributes and attribute classes. Mandatory Access Control TE, RBAC, MAC, DAC. SELinux, AppArmor and Smack. etwork File Systems NFSv4 security issues and improvements, NFSv4 server and clients, NFSv4 authentication mechanisms (LIPKEY, SPKM, Kerberos), NFSv4 pseudo file system, NFSv4 ACLs. CIFS clients, CIFS Unix Extensions, CIFS security modes (NTLM, Kerberos), mapping and handling of CIFS ACLs and SIDs in a Linux system. Network Security Network Hardening FreeRADIUS, nmap, scan methods. Wireshark, filters and statistics. Rogue router advertisements and DHCP messages. Network Intrusion Detection ntop, Cacti, bandwidth usage monitoring, Snort, rule management, OpenVAS, NASL. Packet Filtering Firewall architectures, DMZ, netfilter, iptables and ip6tables, standard modules, tests and targets. IPv4 and IPv6 packet filtering. Connection tracking, NAT. IP sets and netfilter rules, nftables and nft. ebtables. conntrackd Virtual Private Networks OpenVPN server and clients for both bridged and routed VPN networks. IPsec server and clients for routed VPN networks using IPsec-Tools / racoon. L2TP.

About this Virtual Instructor Led Training (VILT)  Electrification of the transportation sector will impact the power system in several ways. Besides the additional load, local impact on the grid needs to be managed by the grid operators. Simultaneously charging of many electric vehicles (EVs) might exceed the limits in specific locations. On the other hand, EVs can provide flexibility and other ancillary services that will help grid operators. This 3 half-day VILT course will provide a complete overview of integrating electric vehicles (EVs) into the power grid. It will cover the whole value chain from grid operations to the car battery. This includes the control room, possible grid reinforcement, demand side management and power electronics. This course will demonstrate the impact on the grid and solutions for a safe & cost-effective grid plan and operation, with examples of successful integration of EVs. The course will also provide vital knowledge about technology used for EVs such as power electronics, demand side management, communication and batteries. In this context, the focus will be on power electronics as it has the highest impact on the grid. The grid planning tool, pandapower, is introduced as an open source tool for power system modelling. The set-up of the training course allows for discussion and questions. Questions can be formulated by the participants upfront or during the training. This course is delivered in partnership with Fraunhofer IEE. Training Objectives At the end of this course, the participants will: Understand the charging options for EVs and its impact on the grid and batteries Identify system services for EVs with regards to voltage quality at the point of common coupling Discover what are the 'grid friendly' and grid supporting functions in EVs Uncover the different applications, standards and data researched on EVs Examine the application of a grid planning tool (pandapower) for power system modelling Be able to develop code snippets with pandapower Apply and execute a code example for power system modelling with pandapower Target Audience EV and grid project developers and administrators Power grid operators and planners EPC organisations involved in grid development EV/ battery manufacturers and designers EV transport planners and designers Government regulators and policy makers Training Methods The VILT will be delivered online in 3 half-day sessions comprising 4 hours per day, with 2 x 10 minutes breaks per day, including time for lectures, discussion, quizzes and short interactive 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 of every session/day. Trainer Our first course expert is Head of Department Converters and Electrical Drive Systems at Fraunhofer IEE and Professor for Electromobility and Electrical Infrastructure at Bonn-Rhein-Sieg University of Applied Sciences. He received his engineering degree in automation in 2008 by the THM Technische Hochschule Mittelhessen (FH Giessen-Friedberg). Afterwards he studied power engineering at University of Kassel and received his diploma certificate in 2010. In 2016 he received the Ph.D. (Dr.-Ing.) from the University of Hannover. The title of his dissertation is Optimized multifunctional bi-directional charger for electric vehicles. He has been a researcher at the Fraunhofer IEE in Kassel since 2010 and deals with power converters for electric vehicles, photovoltaics and wind energy. His current research interests include the bidirectional inductive power transfer, battery charger and inverter as well as new power electronic components such as SiC MOSFETs and chokes. Additionally, our key expert is Chairman of the IEEE Joint IAS/PELS/IES German Chapter and a member of the International Scientific Committee of the EPE Association. Our second course expert is deputy head of energy storage department at Fraunhofer IEE. Prior to this he was the Director of Grid Integration department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, our course expert was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a degree of electrical engineering of the University of Kassel, Germany. In 2003 he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the 'Institute of Solar Energy Supply Technology' (now Fraunhofer IEE) in Kassel. In 2004 he started his career at RWE TSO with main focus on wind power integration and congestion management. Our course expert is chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Our third course expert is Research Associate at Fraunhofer IEE. He is actively working on different projects related to the integration of electric vehicle charging into the electric distribution grid. The focus of this work concerns time series based simulations for grid planning and operation in order to investigate the effect of a future rollout of electric vehicles and charging infrastructure on economics e.g. costs for grid reinforcement. He completed his master degree (MSc.) in Business Administration and Engineering: Electrical Power Engineering at RWTH Aachen University, Germany. Our trainers are experts from Fraunhofer Institute for Energy Economics and Energy System Technology (Fraunhofer, IEE), Germany. The Fraunhofer IEE researches for the national and international transformation of energy supply systems 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