527 Engineer courses in Caterham

SAFe® Advanced Scrum Master: In-House Training Prepare to step into a SAFe® leadership role and learn how to facilitate Agile team, program, and enterprise success by becoming a SAFe® 5 Advanced Scrum Master (SASM). This course prepares current Scrum Masters for their leadership role in facilitating Agile team, program, and enterprise success in a SAFe® implementation. Explore facilitation of cross-team interactions in support of program execution and relentless improvement. Expand the Scrum paradigm with an introduction to scalable engineering and DevOps practices, the application of Kanban to facilitate the flow of value, and supporting interactions with architects, product management, and other critical stakeholders. Learn actionable tools for building high-performing teams and explore practical ways of addressing Agile and Scrum anti-patterns in the enterprise. What you will Learn To perform the role of a SAFe® Advanced Scrum Master, you should be able to: Apply SAFe® principles to facilitation, enablement, and coaching in a multi-team environment Build a high-performing team and foster relentless improvement at scale Address Agile and Scrum anti-patterns Support the adoption of engineering practices, DevOps, and Agile architecture Learn to apply Kanban and Extreme Programming (XP) frameworks to optimize flow and improve the team's work Facilitate program planning, execution, and delivery of end-to-end systems value Support learning through participation in communities of practice and innovation cycles Exploring the Scrum Master role in the SAFe® enterprise Applying SAFe® Principles: A Scrum Master's perspective Exploring Agile and Scrum anti-patterns Facilitating program execution Improving flow with Kanban and XP Building high-performing teams Improving program performance with Inspect and Adapt

High Performing Teams. Moccasin Approach, Moccasin Manager,

About this Virtual Instructor Led Training (VILT) The objective of this 4-half-day Virtual Instructor Led Training (VILT) course is to equip participants with the required knowledge so that they can define and implement an effective oil analysis programme, monitor the condition of transformers and understand oil analysis reports as part of their maintenance strategy. This VILT course is delivered in partnership with ENGIE Laborelec. Training Objectives Participants will be able to go through the following areas during the VILT course: Condition monitoring of power transformers through oil analyses: Transformer Health Index, Transformer Fleet Condition Assessment, Risk Matrix Best practices Which oil analyses/how frequent DGA: focus on partial discharges, sparking, stray gassing, catalytic effects / interpretation systems. Interpretation of results Why and when to perform electrical measurements? International standards: IEEE, IEC, Duval, ASTM, etc Maintenance guidelines Trending and reporting Sampling techniques Use of online monitoring for DGA/water: implementation and real-case advantages etc: New developments: importance of methanol as ageing marker, temperature correction of ageing markers, stray gassing of oils in service etc REX, case studies and real-case exercises concerning power transformers within generation and high-voltage grids Discussion of reports on power transformers Use of unused insulating transformer oils Market trends in the use of inhibited and uninhibited oils Differences, advantages and drawbacks of uninhibited compared with inhibited oils Importance of additives, oxidation stability tests, stray gassing, etc Target Audience The VILT course is intended for a wide audience, including professionals who are maintenance staff, electrical engineers and asset managers responsible for transformers. Typical industries are powerplants, high voltage grids or large industrial sites. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 4 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: 4 half-day sessions, 4 hours per session (16 hours in total). This VILT course is delivered in partnership with ENGIE Laborelec. Trainer Your expert course leader is a senior expert in the field of insulating and lubricating oils and of condition monitoring of power transformers and turbines. He has 20 years of experience within power industry and since 2010 Key Expert within the ENGIE group. He has worked on various international projects such as the Al Dur power plant in Bahrain, Shuweihat II power plant in UAE, PP11 and Jubail Marafiq power plants in Saudi Arabia and Sohar II and Barka III power plants in Oman. He has also been involved in consulting work in Malaysia for Hyrax Oil. Other assignments include Shell, Nynas, Total, ABB, Alstom, CG Pauwels in Europe. 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

Coaching, Workplace coaching, Floor walking coaching, Organisational coaching,

About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       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

Git and GitHub course description This course covers version control using Git but also using GUI frontends such as GitHub. The course starts with a tour of using GitHub but then quickly moves onto using git from the command line. All elements of git version control are covered including creation of repositories, adding and editing files, branches and merging, rewriting history and handling merge conflicts. Hands on sessions are used throughout the course. What will you learn Install git. Add and edit files in a repository. Create branches and perform merges. Handle merge conflicts. Git and GitHub course details Who will benefit: Anyone requiring version control. Prerequisites: None. Duration 1 day Git and GitHub course contents Introduction Version control for software, configuration management. Other uses. Version control systems. What is git? What is GitHub? Distributed version control. Comparison of git to other systems. GitHub Getting started, creating an account, account types, repositories, access control, bug tracking, feature requests. Alternatives to GitHub. Hands on Using GitHub. Installing git Linux install, Windows install, git config, levels, user.name, user.email. Hands on Installing and configuring git. Creating repositories git clone, github, git remote, git init. Hands on Creating a repository. Adding and editing files Staging and adding, git add, git commit, git push, git pull, git status, git log. Two stage process. File states: Working, staging, history, untracked. git mv, git rm, .gitignore, git diff, git difftool. Undoing changes. Hands on Adding and editing files in git. Branching and merging What is a branch, HEAD label, master branch, git branch, git checkout. Feature branches, bux fix branches, integration branches, production branches, fast forward merges, 3 way merges, git merge, git status, git log, tags. Hands on Making branches, merging. Rewriting history git reset, git rebase, advantages. Hands on Reset commits, rebase a branch. Merge conflicts What is a conflict, conflict resolution process, resolving merges, rebasing, git log, merge tools, configuring merge tools, avoiding conflicts. Hands on Merge resolution.

Advanced Ethernet switching training course description An advanced hands on switching course for those already familiar with the basics such as STP and VLANs. The course starts with advanced diagnostics and network monitoring moving onto switch protocols. A large part of the second day is spent implementing QoS and security such as 802.1x. What will you learn Troubleshoot switching. Explain how a number of switch protocols work, including: UDLD LLDP LACP DTP VTP/MVRP Design redundancy into switched networks. Implement QoS on switches. Harden switches. Advanced Ethernet switching training course details Who will benefit: Technical staff working with Ethernet switches. Prerequisites: None Duration 2 days Advanced Ethernet switching training course contents Switches Switch review, troubleshooting, diagnostics, L2 traceroute, UDLD, message logging, Wireshark, port mirroring, Hands on: Troubleshooting. Network management SNMP, SNMPv3, RMON, Netflow, Sflow. System logging. Hands on: Managing switches with SNMP. Syslogd. Switches and automatic configuration Auto-MDIX, LLDP, CDP, Link aggregation, LACP, Link state tracking, VLANS and tags, DTP. Hands on: Discovery, dynamic configuration. RSTP 802.1w, new port roles and states, new BPDUs, rapid convergence, topology changes, compatibility issues. L3 redundancy, VRRP, GLBP. Design issues. Hands on: RSTP, VRRP. VLANS: Registration protocols Why VTP? VTP modes, how VTP works, VTP pruning. GVRP, MVRP. Hands on: Dynamic VLANs STP variations and alternatives 802.1s (multiple spanning tree), regions, rings, L2MP, TRILL. Hands on: 802.1s Multicasting What is multicasting, Static configuration, IGMP snooping, CGMP, MVR. IPv6 MLD snooping. Hands on: Multicast through switches QoS Storm control, DSCP, 802.1Q, 802.1p, mapping, classification, policy, Ingress queues, Egress queues. Dropping frames, limiting bandwidth. Hands on: Voice through switches. More VLANS Native VLANs, Voice VLANs Security Static MAC addresses, AAA, RADIUS, Port based authentication, 802.1x, Guest VLANs, L2 attacks, SSH, HTTPS. Hands on: Hardening switches. Miscellaneous NTP, managing the MAC address table, managing system resources, SDN

Introduction to Virtualization course description A comprehensive tour of virtualization. The course concentrates on the actual technologies involved as opposed to any one vendor solution. What will you learn Explain the concepts of virtualization. Partition servers. Create Virtual Machines. Introduction to Virtualization course details Who will benefit: Anyone looking for an introduction to Virtualization. Prerequisites: None. Duration 2 days Introduction to Virtualization course contents Virtualization Concepts What is Virtualisation? What are virtual machines (VMs)? Virtualisation Landscape. Network Virtualisation. Suitability for Organisations. Advantages of deploying Virtualisation. Downsides of deploying Virtualisation. Overview of Virtualisation products. Hypervisors What is a hypervisor? Difference between type 1 and 2 hypervisors. Available hypervisors. Hypervisors and device drivers. Hands on: Installing Oracle VirtualBox on Windows. Creating/Importing/Configuring VMs. Virtualization Hosts Hardware and resource requirements. Installation of the hypervisor. Hands on: Installing Hyper-V role into Windows Server. Creating/Importing/Configuring VMs. Virtual Machines Creating virtual machines. Resource requirements. Settings. Installation of the guest OS. Additional tools/ extensions for hypervisor integration. VM files and their uses. Virtual hard disk and their formats. Hardware pass through. Hands on: Connecting to VMWare ESXi via WebGUI and using ESXi to create/import/configure VMs. VM Snapshots/Checkpoints What is a snapshot? How to use them and how they impact performance? Creating/deleting/merging of snapshots. Hands on: Using ESXi to create/manage snapshots. Command Line use on the Hypervisor Interacting with the hypervisor through the command line. Simple commands to configure the hypervisor and VMs. Simple scripts. Hands on: Connecting to VMWare ESXi via PowerCLI to manipulate VMs and snaphshots. Virtualization Storage Different types of storage: local vs remote. Local and remote storage technologies. Configuring storage. Hands on: Using ESXi to deploy VMs on remote NFS storage. Virtual Networking How is networking done in virtualization environments. What is a virtual switch and vNIC and what are their performance characteristics? NIC teaming and trunking in the virtual world. Port groups and isolation. Physical NICs and their use in virtual switches. Hands on: Using ESXi to create and configure vswitches and networking. Templates and clones What is a template? What is a clone? When to use templates and clones to optimize VM deployment. Migrating/Importing VMs What is migration? Migrating compute and storage. Importing VMs from files or physical machines. Hands on: Using VMWare vCenter Server to clone/ template/migrate VMs, tag resources, create local user accounts and assign permissions. VMs and Backups Taking backups of your VMs. Restoring your VMs from backups. Virtualization and Licensing Different licensing models and costs. Containerization Concepts What is a container and how is it different from a virtual machine. When to use containers. Docker and Kubernetes

NFV training course description Network Functions Virtualization (NFV) brings many benefits, this training course cuts through the hype and looks at the technology, architecture and products available for NFV. What will you learn Explain how NFV works. Describe the architecture of NFV. Explain the relationship between NFV and SDN. Recognise the impact NFV will have on existing networks. NFV training course details Who will benefit: Anyone wishing to know more about NFV. Prerequisites: Introduction to Virtualization. Duration 2 days NFV training course content Introduction What is NfV? What are network Functions? NfV benefits, NfV market drivers. ETSI NfV framework. Virtualization review Server, storage and network virtualization and NfV. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. Virtualization of Network Functions Network virtualization versus Network Function virtualization. ETSI NfV architecture ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. IETF and NfV Creating services, Service Functions, Service Function Chaining. SPRING and source packet routing. YANG and NetConf. RESTCONF. VLANs, VPNs, VXLAN. MANO Management and Orchestration. OpenStack, OpenDaylight PaaS and NfV. The VNF domain. Service graphs, MANO descriptors, Open orchestration. The virtualization layer VM centric model, containers versus hypervisors, FD.io. Summary Deploying NfV, performance, testing. Futures.

Intro to containers training course description This course looks at the technologies of containers and microservices. The course starts with a look at what containers are, moving onto working with containers. Networking containers and container orchestration is then studied. The course finishes with monitoring containers with Prometheus and other systems. Hands on sessions are used to reinforce the theory rather than teach specific products, although Docker and Kubernetes are used. What will you learn Use containers. Build containers. Orchestrate containers. Evaluate container technologies. Intro to containers training course details Who will benefit: Those wishing to work with containers. Prerequisites: Introduction to virtualization. Duration 2 days Intro to containers training course contents What are containers? Virtualization, VMs, What are containers? What are microservices? Machine containers, application containers. Benefits. Container runtime tools Docker, LXC, Windows containers. Architecture, components. Hands on Installing Docker client and server. Working with containers Docker workflow, Docker images, Docker containers, Dockerfile, Building, running, storing images. Creating containers. Starting, stopping and controlling containers. Public repositories, private registries. Hands on Exploring containers. Microservices What are microservices? Modular architecture, IPC. Hands on Persistence and containers. Networking containers Linking, no networking, host, bridge. The container Network Interface. Hands on Container networking Container orchestration engines Docker swarm: Nodes, services, tasks. Apache Mesos: Mesos master, agents, frameworks. Kubernetes: Kubectl, master node, worker nodes. Openstack: Architecture, containers in OpenStack. Amazon ECS: Architecture, how it works. Hands on Setup and access a Kubernetes cluster. Managing containers Monitoring, logging, collecting metrics, cluster monitoring tools: Heapster. Hands on Using Prometheus with Kubernetes.