1671 Architecture courses

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

Streaming telemetry training course description An introduction to streaming telemetry. The course progresses from a brief look at the weaknesses of SNMP onto what streaming telemetry is, how it differs from the xflow technologies, the data formats available and how to configure it. What will you learn Describe streaming telemetry. Explain how streaming telemetry works. Describe the data presentation formats available. Configure streaming telemetry. Streaming telemetry training course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 1 day Streaming telemetry training course content What is streaming telemetry? SNMP weaknesses, Netflow, sflow, polling and the old models, push vs pull, What is streaming telemetry? Telemetry streaming architecture Model driven versus event driven telemetry, subscriptions, publications. Periodic versus on change, model selection and scalability. Telemetry streaming protocols TCP, UDP, SSH, HTTP, HTTP2, NETCONF, RESTCONF, gRPC, gNMI. Models and Encoding The role of YANG. YANG models and tools. XML/ NETCONF, JSON/RESTCONF, JSON over UDP. Protocol buffers/gRPC. Google Protocol Buffers Decoder ring, protocol definition file. GPB-KV, GPB-Compact. Keys. Streaming telemetry configuration Router: Destination, Sensor, subscription. Collector: YANG models, .proto file. Pipeline. ELK: Consume, store, visualise streaming data. Collection tools APIs, YANG development Kit, Downstream consumers, influxdata, Grafana, Kafka, Prometheus, others.

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A 5-day intensive, practical course covering model-making skills for theatre, film, animation or spatial design. Led by David Neat from his studio in Deptford.

Level 4, 5 & 7 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

IP CCTV training course description This hands on course covers the technologies used in IP CCTV systems. The focus is not on operating or cabling but more advanced configuration and troubleshooting. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer equipment. What will you learn Install IP CCTV. Configure IP CCTV. Explain how IP CCTV protocols work. Troubleshoot IP CCTV. IP CCTV training course details Who will benefit: Technical staff working with IP CCTV. Prerequisites: None. Duration 2 days IP CCTV training course contents Introduction What is IP CCTV? Camera types, Video, Audio, two way audio, IP CCTV software. Hands on Installing IP CCTV. CCTV architecture Components, servers, storage, LANs, WANs. Centralised versus decentralised. Hands on Using IP CCTV. Ethernet What is Ethernet? Ethernet cabling, Inside versus outside, hubs, switches, PoE, VLANs. Hands on Ethernet connectivity. Wireless WiFi, other wireless solutions, 802.11, variations, frequencies, Access Points, bridges, repeaters. WEP, WPA, WPA2, Hands on WiFi Configuration Ways to configure, IP addresses, subnet mask, default gateway, DHCP, NAT, access from the Internet. Hands on CCTV configuration. How IP CCTV works TCP, UDP, IP, RTP, RTSP, SIP, PTZ, NTP, Wireshark. Port numbers. Hands on Using Wireshark to troubleshoot IP CCTV. Network issues with IP CCTV Bandwidth, video resolution, compressions, codecs, frame rates, audio. QoS. One way versus two way traffic. Hands on Analysing CCTV traffic. Security VPNs, Firewalls. Hands on CCTV through a firewall. Troubleshooting ping, tracert, arp, ipconfig, pathping, tracert. Cable issues, switch issues, WiFi issues.CCTV issues. Hands on CCTV troubleshooting. Miscellaneous Design issues, multicasting, gateways. DVR technology. Calculating storage requirements.

In terms of data processing and analytics, Azure Synapse Analytics is a game-changer. This course will teach you all you need to know about Azure SQL Data Warehouse, Azure Synapse Analytics Service, PolyBase, Cloud Data Warehouse, and Microsoft SQL Data Warehouse foundations.

Autocad face to face training customised and bespoke.

Discover Energy Edge's course on decarbonising maritime propulsion. Enhance your knowledge with our virtual instructor-led training for sustainable maritime solutions.

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction Introduction 00:02:00 What is landscape design? 00:10:00 Environmental impact of landscapes 00:11:00 Landscapes and green buildings 00:12:00 Landscapes and sustainable interiors 00:05:00 Assessment Assessment - Sustainability Through Landscape Design 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00