Enhance your knowledge of natural gas and LNG sales agreements with EnergyEdge course. Enroll now to gain valuable industry knowledge and skills.
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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.
Join us in Courchevel this winter, one of the most incredible ski resorts in the world. In just ten weeks, you can become a ski instructor. You’ll explore some breathtaking terrain, make lifelong friends and develop invaluable skills that will last forever. You’ll be on the hill every day, living in a charming, traditional chalet conveniently located a few steps away from the bus stop, ski lifts, and the vibrant pulse of the town.
Plasma bio gel filler is a new generation of fillers that does not carry the risk associated with HA dermal fillers. APF - Autologous Plasma Gel Filler is a technology based on the preparation of effective material in three variants to satisfy even the most demanding customers. Bio filler plasma gel is a natural filler that does not carry the risks with HA dermal fillers. No lidocaine or hyaluronic acid, anyone who is deemed suitable for the treatment can have it which assists clients who have allergies or on a certain medication can now have this treatment. We still recommend that all clients speak with their healthcare provider prior to their treatment to ensure they are suitable for this treatment and also PRP. Course prerequisites This course is suitable for those with or without a medical background. It is designed to provide the student with the ability to seek employment or start their own business upon qualification. At a minimum, students will be required to be qualified for at least one of the following: Medically qualified as a nurse, doctor or dentist with current registration with the NMC, GMC or GDC. NVQ Level 3 in Beauty Therapy, ITEC or HND 12 months of needling experience 6 Months of micropigmentation experience and Anatomy & Physiology Level 3 This training course requires you to be an active practising aesthetic injector with certification / qualification in phlebotomy. If you do not have this you can complete our Phlebotomy training course If your qualification does not appear above, we offer a fast track access course for those completely new to the industry. Course agenda Health & safety In-depth anatomy and physiology Emergency protocols What is Smart Cell Plasma Filler Platelet Poor Plasma Autologous cell therapy Biological supplement Plasma properties Fibrin benefits How to prepare the Plasma Filler Indications Treatment protocols Plasma Filler aftercare Equipment Complications management Emergency Protocols Anaphylaxis Aftercare Consent forms Consultation process Client selection Live demonstrations Live model experience Recommended treatment charges Insurance Legalities
About this Training Course This 5 full-day course has been designed to develop skills in understanding the geometry and petrophysical characteristics of carbonate reservoirs. Depositional fabric, grain type and size and subsequent diagenetic modifications are the major controls on carbonate reservoir behaviour. The complex inter-relationship of the depositional and burial history can be unravelled to allow prediction of reservoir facies and reconstruction of three-dimensional reservoir models. This course will demonstrate the value of the reservoir model in volumetric assessment and development of carbonate reservoirs. *Previous knowledge of carbonate sedimentology is not required. Course Content in Summary: Carbonate reservoirs: Basic principles; depositional concepts; grain types; textures and fabrics; environmental reconstruction. The reservoir model - depositional and diagenetic characteristics: Sabkha/tidal flat; lagoon; shelf; reef (rudist and coral/algal); barrier/shoal; slope and redeposited; aeolian and lacustrine; karst plays. Carbonate diagenesis: Primary and secondary porosity; compaction; pressure solution; cementation; dolomitisation; porosity generation and destruction; fractures. Carbonate sequence stratigraphy Log response in carbonate rocks: Gamma; sonic; neutron; density; FMS. Reservoir assessment: Fracture reservoirs; reservoir modelling; volumetric assessment in correlation and mapping; effects of capillary pressure; interface with engineering. Training Objectives By attending this course, participants will be able to: Understand carbonate depositional systems and controls. Recognise and model controls on reservoir quality and pore systems, including diagenesis and fracturing. Understand and apply carbonate seismic stratigraphy and sequence stratigraphy. Interpret log responses. Target Audience This course is intended for petroleum geologists, explorationists, petrophysicists, geophysicists and engineers involved with exploration of carbonate plays and development of carbonate reservoirs. Trainer Your expert course leader is a Director and Senior Consultant Geologist who has worked on various carbonate consultancy projects, conducted detailed sedimentological, sequence stratigraphic and diagenetic technical studies and delivered training programmes. He was formerly Managing Director of Robertson UK Limited and was responsible for the integration between different disciplines, recognition, and encouragement of technical innovation and research and development programmes across all oil and gas divisions in the company. He was also responsible for all aspects of the performance of the main Geological, Geophysical and Reservoir Engineering Services in the company. 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
Critical Thinking and Creative Problem Solving (In-Person) Two critical skillsets for the future of work are critical thinking and creative problem solving. These modes of working and thinking intersect and overlap; both are necessary and both can be taught. Having the ability to exercise creativity while at the same time applying structure and discipline to the thinking process is a key competency in the twenty-first century workplace. This course explores the interplay between critical and creative thinking, and the necessity of each to effective problem solving and decision making. Participants will learn a variety of techniques to apply critical thinking to real-life scenarios. They will experiment with different problem-solving approaches and will learn about cognitive influences on our decisions and choices. The course delves into the business value of creativity and involves participants in actively integrating criticality, creativity, and problem solving. What you will Learn At the end of this program, you will be able to: Explain basic concepts of problem solving Infer types of cognitive biases that impact decision making Utilize types of root cause analysis Differentiate among obstacles to sound decision making Apply a variety of problem-solving approaches / processes to existing challenges Evaluate alternative solution methods using various techniques Analyze real world problem scenarios to determine the lateral thinking type needed to address them Foundation Concepts Definitions Thinking modes and cognitive bias Basic problem-solving framework Problem Definition and Solution Generation Root cause analysis Basic problem-solving obstacles Generating alternative solutions Evaluating Alternatives Critical thinking guidelines Obstacles to sound decision making Tools for evaluating alternatives Exploring Lateral Thinking Problem-solving challenge Workplace application
About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. 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
Critical Thinking and Creative Problem Solving: In-House Training Two critical skillsets for the future of work are critical thinking and creative problem solving. These modes of working and thinking intersect and overlap; both are necessary and both can be taught. Having the ability to exercise creativity while at the same time applying structure and discipline to the thinking process is a key competency in the twenty-first century workplace. This course explores the interplay between critical and creative thinking, and the necessity of each to effective problem solving and decision making. Participants will learn a variety of techniques to apply critical thinking to real-life scenarios. They will experiment with different problem-solving approaches and will learn about cognitive influences on our decisions and choices. The course delves into the business value of creativity and involves participants in actively integrating criticality, creativity, and problem solving. What you will Learn At the end of this program, you will be able to: Explain basic concepts of problem solving Infer types of cognitive biases that impact decision making Utilize types of root cause analysis Differentiate among obstacles to sound decision making Apply a variety of problem-solving approaches / processes to existing challenges Evaluate alternative solution methods using various techniques Analyze real world problem scenarios to determine the lateral thinking type needed to address them Foundation Concepts Definitions Thinking modes and cognitive bias Basic problem-solving framework Problem Definition and Solution Generation Root cause analysis Basic problem-solving obstacles Generating alternative solutions Evaluating Alternatives Critical thinking guidelines Obstacles to sound decision making Tools for evaluating alternatives Exploring Lateral Thinking Problem-solving challenge Workplace application
MySQL Performance & Tuning training course description This MySQL Performance & Tuning course is designed for Database Administrators, Application Developers and Technical Consultants who need to monitor and tune the performance of MySQL servers and databases. The course provides practical experience in monitoring and tuning MySQL servers and databases. Note: This MySQL Performance & Tuning course does not cover clustering (other than at overview level), replication or non-standard storage engines such as Falcon and PBXT. What will you learn Develop a monitoring and tuning plan Use server configuration and status variables. Identify and improve problem queries. Make efficient use of indexes. Monitor and size memory caches and locks. Tune the MyISAM and InnoDB storage engine. Evaluate the use of partitioning for performance. MySQL Performance & Tuning training course details Who will benefit: Anyone who wishes to monitor and tune MySQL performance. Prerequisites: Delegates must have a working knowledge of MySQL Database Administration Duration 3 days MySQL Performance & Tuning training course contents Introduction to performance tuning Tuning overview, Resolving performance issues, Recommended approach to tuning, Items to evaluate, Where to look, Planning a monitoring routine, Building a new database for performance, Tuning an existing database, Setting suitable goals. MySQL performance tuning tools Administration tools, the information schema, performance-related SHOW commands, benchmarking tools, the MySQL performance schema, MonYog. Hands on Obtaining performance information. Schema design Normalisation, de-normalisation, naming conventions, load generation, stress testing and benchmarking tools, selecting data types, data types, character sets, choosing storage engines. Hands on effects of design on performance. Statement tuning Overview of statement tuning, identifying problem queries, the optimizer, explain, explain extended. Hands on identifying problem queries and using explain. Indexes Index overview, Types of index, Index tuning, Indexes and joins. Hands on Indexes and performance. Server configuration and monitoring Server configuration variables, server status variables, table cache, multi-threading, connection issues, query cache. Hands on setting and interpreting server variables and caching. Locking Types of locking, locking and storage engines, effects of locking on performance. Hands on locking and performance. The InnoDB engine Transactions, crash recovery, locking, monitoring InnoDB, caches and buffers, configuring data files, configuring the log files. Hands on InnoDB configuration and performance. Other storage engines MyISAM engine, merge engine, archive engine, memory engine, blackhole engine, CSV engine, the Spider engine, the ColumnStore engine, the MyRocks engine, mixing sorage engines. Hands on storage engine performance. Overview of clustering and performance Advantages of performance, advantages of clustering, performance issues and clustering, the NDBCluster engine, the Galera cluster, the Percona XtraDB cluster, MySQL InnoDB cluster, the federated engine, the federatedX engine, overview of other high availability techniques. NOSQL and Mencached overview. Dumping and loading data SQL statements versus delimited data, parameters affecting dump performance, parameters affecting load performance. Hands on dump and load performance. Partitioned tables Partitioned tables concepts, range partitioning, hash partitioning, key partitioning, list partitioning, composite partitioning or subpartitioning, partition pruning. Hands on partitioned table performance.