689 Courses in London

Microsoft Project Orange Belt® 2016: In-House Training This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2016, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2016, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop provides the eBook Dynamic Scheduling with Microsoft® Project 2013, and is kept up to date with the framework of knowledge outlined by the Project Management Institute's PMBOK® Guide and the Practice Standard for Scheduling. What you Will Learn You'll learn how to: Understand what's new in Project 2016 Explain where Project 2016 fits in the Microsoft® EPM solution Initialize Project 2016 to start project planning Create a well-formed project schedule Understand task types and the schedule formula Assign resources and costs to tasks Analyze resource utilization and optimize the schedule Set a baseline and track progress Create and manage project reports Customize views and fields Apply Earned Value Management Understand the basics of managing multiple projects Getting Started Introductions Course structure Course goals and objectives Concepts of Project Management Getting Started with Project 2016 Project 2016: What's New and General Overview Setting Up a New Project Schedule (templates, options, save, etc.) Setting the Project Calendar Entering Tasks The planning processes Importing tasks (Word, Excel, SharePoint) Synchronizing with SharePoint Tasks List Creating and managing the WBS (include tasks, manually scheduled tasks, summary tasks, milestones, and custom WBS coding) Entering Estimates Tendencies in estimating The rolling wave approach Entering duration and work estimates Types of tasks Entering Dependencies The principle of dynamic scheduling Choosing the right Type of dependency Entering dependencies in Project 2016 Different applications of dependencies Entering Deadlines, Constraints, and Task Calendars Use of deadlines and constraints Entering deadlines and constraints in Project 2016 Entering Resources and Costs Types of resources Entering resources in Project 2016 Calendars and resources Entering costs in Project 2016 Entering Assignments Assignments in a schedule Assignments and task types Entering assignments in Project 2016 Assignments, budgets, and costs Optimizing the Schedule The critical path method (CPM) and the resource critical path (RCP) Resource leveling Optimizing time, cost, and resources in Project 2016 Updating the Schedule The baseline Updating strategies and situations Prepare the status and forecast report in Project 2016 Reporting Using reports Using Visual Reports Formatting and printing in Project 2016 Customizing fields in Project 2016 Earned Value Management (EVM) Overview of EVM Applying EVM with Project 2016 Evaluating the Project Evaluating the project performance Project benefits and results Templates for future projects Summary and Next steps Tools and checklist Best practices checklist Certification options

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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

Server Load Balancing course description This two-day Server Load Balancing course introduces the concepts of SLB from the reasons to implement, through the basics and then onto details studies of load distribution, health checks, layer 7 switching and Global SLB. What will you learn Explain packet paths when implementing SLB. Recognise the impact of different topologies. Evaluate SLB load distribution methods. Describe how load balancers can improve security. Explain how GSLB works. Server Load Balancing course details Who will benefit: Anyone working with SLB. Prerequisites: None. Duration 2 days Server Load Balancing course contents Introduction Concept, reasons, benefits, alternatives. Other features: Security, Caching. SLB concepts Architectures, Virtual servers, real servers, Virtual IP address, health checks. DNS load balancing. Packet walk using SLB. Load balancing 6 modes of bonding and load balancing without SLB. ISP load balancing. Health. Distribution policies: Round Robin, least connections, weighted distributions, response time, other variations. Persistent versus concurrent. Layer 4 switching L2 SLB, L3 SLB, single arm SLB, DSR, more packet walking, TCP versus UDP, Port numbers. Layer 7 switching Persistence. Cookie switching, Cookie hashing, Cookie insertion, URL switching, URL Hashing, SSL. Health checks Layer 3: ARP, ping. Layer 4: SYN, UDP. Layer 7: HTTP GET, Status codes, HTTP keepalives, content verification, SSL. Other application keepalives. What to do after failure and recovery. Security DOS attack protection, SYN attack protection, Rate limiting: connections, transactions. SSL offload. Redundancy Hot standby, Active standby, Active active. Stateful, stateless. VRRP, STP. GSLB Anycasting. DNS, TTL, DNS load balancing, problems with DNS load balancing,. HTTP redirect, health, thresholds, round trip times, location.

LTE training course description This course is designed to give the delegate an understanding of the technologies used within a 3G UMTS mobile network. During the course we will investigate the UMTS air interface and the use of Wideband-Code Division Multiple Access (WCDMA) to facilitate high speed data access, together with HSPA to offer mobile broadband services. We will describe the use of soft handover rather than hard handover procedures and soft capacity sharing. The course includes a brief exploration of the UMTS protocol stack and the use of PDP Context and QoS support features. What will you learn Explain the 3G UMTS architecture. Describe the role of a Drifting & Serving RNC. Explain the use of ARQ & HARQ for mobile broadband. Describe how IMS integrates into the architecture. Describe the use of Media Gateway Controllers. Identify the temporary identities used within 3G UMTS. LTE training course details Who will benefit: Anyone working within the telecommunications area, especially within the mobile environment. Prerequisites: Mobile communications demystified Telecommunications Introduction Duration 2 days LTE training course contents LTE Introduction The path to LTE, 3GPP. LTE to LTE advanced. LTE Architecture The core, Access, roaming. Protocols: User plane, Control plane. Example information flows. Bearer management. Spectrum allocation. LTE technologies Transmission, reception, OFDMA, multiple antenna, MIMO. LTE Air interface Air interface protocol stack. Channels, Resource Grid, cell acquisition. Up and downlink controls. Layer 2 protocols. Cell acquisition Power on, selecting networks and cells. RRC connection. Attach procedure. Mobility management Roaming, RRC_IDLE, RRC_CONNECTED, cell reselection, handover, interoperation with UMTS and GSM networks. Voice and text IMS, QoS, policy and charging.

Copper cabling systems training course description A hands on training course covering installation, termination and testing of copper cables in an internal environment. The course covers all copper cabling but hands on sessions focus on unshielded Twisted Pair. What will you learn Recognise different copper cables and when to use them. Install and terminate UTP cables. Test and certify UTP cables. Copper cabling systems training course details Who will benefit: Professional cable installers. Prerequisites: None Duration 2 days Copper cabling systems training course contents Communications principles Use of cables in data networks, Use of cables in telephone networks, conductors and insulators, current, resistance, voltage and Ohms law. Copper cabling per cabling Coaxial versus twisted pair. UTP and STP. Cat 5, 5e, 6 and 7. Straight through, cross over, others. Hands on: Building a simple network. Cable termination Cable termination Preparing cables for termination, termination techniques, termination tools. Wiring standards, colour codes. Hands on: Making your own cables and using them in the simple network. Cable architectures Structure cabling system components, topologies, horizontal wiring, vertical wiring, telecomms rooms, server rooms. Hubs, switches and routers implications. Trunking. Cabling documentation, symbols and abbreviations. Hands on: punch blocks, testing continuity. Cable installation Site surveys: pathways and spaces, support structures, distance limitations. Recommended installation practices, laying and setup, retrofits. Health and safety factors, fire and building codes. Hands on: Performing a site survey, installing cable with floor boxes. Testing Basic testing, volt meters, tone set, Cat 5 testers, Cat 5e testers, Cat 6 testers. Certifying performance, Cat 5, 5e and 6 performance parameters. External factors. Common faults. Hands on: Testing an installation, troubleshooting faults. Other aspects Telephony cables, shielded cables. Hands on: installing telephone cable, testing continuity.

Network virtualization training course description This course covers network virtualization. It has been designed to enable network engineers to recognise and handle the requirements of networking Virtual Machines. Both internal and external network virtualization is covered along with the technologies used to map overlay networks on to the physical infrastructure. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer implementations. What will you learn Evaluate network virtualization implementations and technologies. Connect Virtual Machines with virtual switches. Explain how overlay networks operate. Describe the technologies in overlay networks. Network virtualization training course details Who will benefit: Engineers networking virtual machines. Prerequisites: Introduction to virtualization. Duration 2 days Network virtualization training course contents Virtualization review Hypervisors, VMs, containers, migration issues, Data Centre network design. TOR and spine switches. VM IP addressing and MAC addresses. Hands on VM network configuration Network virtualization What is network virtualization, internal virtual networks, external virtual networks. Wireless network virtualization: spectrum, infrastructure, air interface. Implementations: Open vSwitch, NSX, Cisco, others. Hands on VM communication over the network. Single host network virtualization NICs, vNICs, resource allocation, vSwitches, tables, packet walks. vRouters. Hands on vSwitch configuration, MAC and ARP tables. Container networks Single host, network modes: Bridge, host, container, none. Hands on Docker networking. Multi host network virtualization Access control, path isolation, controllers, overlay networks. L2 extensions. NSX manager. OpenStack neutron. Packet walks. Distributed logical firewalls. Load balancing. Hands on Creating, configuring and using a distributed vSwitch. Mapping virtual to physical networks VXLAN, VTEP, VXLAN encapsulation, controllers, multicasts and VXLAN. VRF lite, GRE, MPLS VPN, 802.1x. Hands on VXLAN configuration. Orchestration vCenter, vagrant, OpenStack, Kubernetes, scheduling, service discovery, load balancing, plugins, CNI, Kubernetes architecture. Hands on Kubernetes networking. Summary Performance, NFV, automation. Monitoring in virtual networks.

Docker for engineers training course description Docker is the container platform of choice. This course covers how to use Docker to package your applications with all of their dependencies and then test, deploy, scale and support your containers. Hands on sessions follow all the major sessions. What will you learn Work with Docker images, containers and command line tools. Deploy and test Docker containers. Debug Docker containers. Describe Docker networking, deployment tools, orchestration and security. Docker for engineers training course details Who will benefit: Anyone working with Docker. Prerequisites: Introduction to virtualization. Duration 2 days Docker for engineers training course contents Introduction The birth of Docker, the promise of Docker, what Docker isn't. Docker at a glance Process simplification, broad support and adoption, architecture, getting the most from Docker, the Docker workflow. Installing Docker Important terminology, Docker client, Docker server, test the setup. Working with Docker images Anatomy of a Dockerfile, building an image, running your image, custom base images, storing images. Working with Docker containers What are containers? creating a container, starting a container, auto-restarting a container, stopping a container, killing a container, pausing and unpausing a container, cleaning up containers and images, next steps. Exploring Docker Printing the Docker version, server information, downloading image updates, inspecting a container, getting inside a running container, exploring the shell, returning a result, docker logs, monitoring Docker, exploration. The path to production containers Deploying, testing containers. Debugging containers Process output, process inspection, controlling processes, network inspection, image history, inspecting a container, filesystem inspection, moving along. Docker at scale Docker swarm, centurion, amazon EC2 container service. Advanced topics Pluggable backends, containers in detail, security, networking. Designing your production container platform The twelve-factor app, the reactive manifesto. Conclusion The challenges, the Docker workflow, minimizing deployment artifacts, optimizing storage and retrieval, the payoff, the final word.

Kubernetes for engineers training course description This course covers how Kubernetes addresses the challenges of distributed systems. Hands on sessions follow all the major theory chapters. What will you learn Explain what Kubernetes is and how it works. Create and run containers on Kubernetes using the Docker image format and container runtime. Kubernetes for engineers training course details Who will benefit: Anyone working with Docker or Kubernetes. Prerequisites: Definitive Docker for engineers. Duration 2 days Kubernetes for engineers training course contents Introduction Velocity, Scaling your service and your teams, Abstracting your infrastructure. Creating and running containers Container images, Building application images with Docker, Storing images in a remote registry, The Docker container runtime. Deploying a Kubernetes cluster Installing Kubernetes on a public cloud provider, Installing Kubernetes locally using minikube, Running Kubernetes on Raspberry Pi, The Kubernetes client, Cluster components. Common kubectl Commands Namespaces, Contexts, Viewing Kubernetes API objects, Creating, Updating, and Destroying Kubernetes objects, Labelling and annotating objects, Debugging commands. Pods Pods in Kubernetes, Thinking with pods, The pod manifest, Running pods, Accessing your pod, Health checks, Resource management, Persisting data with volumes, Putting It all together. Labels and Annotations Labels, Annotations. Service Discovery What Is Service discovery? The service object, Looking beyond the cluster, Cloud integration, Advanced details. ReplicaSets Reconciliation loops, Relating pods and ReplicaSets, Designing with ReplicaSets, ReplicaSet Spec, Creating a ReplicaSet, Inspecting a ReplicaSet, Scaling ReplicaSets, Deleting ReplicaSets. DaemonSets DaemonSet scheduler, Creating DaemonSets, Limiting DaemonSets to specific nodes, Updating a DaemonSet, Deleting a DaemonSet. Jobs The job object, Job patterns. ConfigMaps and secrets ConfigMaps, Secrets, Naming constraints, Managing ConfigMaps and secrets. Deployments Your first deployment, Creating deployments, Managing deployments, Updating deployments, Deployment strategies, Deleting a deployment. Integrating storage solutions and Kubernetes Importing external services, Running reliable singletons, Kubernetes-native storage with StatefulSets. Deploying real-world applications Parse, Ghost, Redis.

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

Advanced UNIX shell scripting training course description A follow on hands on course from the Introduction to shell programming course covering the powerful sed and awk tools along with the extra Korn shell programming features. What will you learn Use regular expressions within grep, ed and many other utilities. Use awk and sed. Integrate sed and awk into shell scripts. Recognise the role of shell scripts within the UNIX system. Write shell scripts using new Korn shell features including: The select construct Arrays Arithmetic evaluation Advanced UNIX shell scripting training course details Who will benefit: Programmers developing applications under UNIX. Administrators who need time saving utilities. Technical personnel who wish to make the most out of the Korn Shell. Prerequisites: UNIX shell scripting Duration 3 days Advanced UNIX shell scripting training course contents Regular Expressions What are REs? How can they be used? How to write REs More REs e REs Tagging, matching words, repetitions. The sed editor Basic usage: Saving output, options. sed script files, sed commands, Specifying lines to edit, Hold space and pattern space, advanced commands Awk Basic usage, nawk script files, Patterns, Records and fields, Actions if, while, do, for... System variables NF, NR, RS... Arrays Functions length, printf, cos, user defined... Using nawk in shell scripts Korn shell scripts Review of Bourne shell scripts functions... Variables typeset, manipulating strings Arrays Arithmetic evaluation the let command, (( )), typeset -i The select construct Syntax, workings, REPLY, PS3 Miscellaneous Enhanced I/O, ${10}