319 Architect courses in Borehamwood

SMPTE 2110 training course description This course studies the new SMPTE ST 2110 suite of standards. The course covers all parts of the standard from SMPTE ST 2110-10 through to SMPTE ST 2110- 50. The course begins with an introduction to all IP studios and separating video and audio streams, then moves on to PTP and synchronisation. Video encapsulation is then followed by audio encapsulation. Handling ancillary data finishes the course. What will you learn Recognise the benefits of SMPTE ST 2110. Describe SMPTE ST 2110. Explain how the SMPTE 2110 standards work. Compare and contrast SMPTE 2110 and SMPTE 2022. SMPTE 2110 training course details Who will benefit: Anyone working in broadcast. Prerequisites: IP broadcast fundamentals Duration 1 day SMPTE 2110 training course contents Introduction The all IP studio. Review of IP and RTP. Role of SMPTE, SMPTE 2022, What is SMPTE 2110, SMPTE 2022 versus 2110, SMPTE 2110 parts, multiplex standards, 2110 separate streams, Video, Audio, ANC. Essences. Separate streams and synchronisation The old way, blackburst, time code, DARS. SMPTE 2110-10, ST2059, PTP, PTP architecture, PTP accuracy, How PTP works, Offset and delay PTP clock types, Hardware time stamping SDP. Hybrids. Uncompressed video SMPTE 2110-20, 2110-21. Image support, raster sizes, bit depth, active video and no blanking, bandwidth and bandwidth savings, pgroups. Timestamps. Packing modes. Packet sizes, pixels per packet. Audio SMPTE 2110-30, 2110-31, PCM, AES3. Allowed versus required. Channels and streams. Ancillary data SMPTE 2110-40, RFC on RTP payloads for ST 291 ancillary data.

Essential SD-WAN training course description SD-WAN is rapidly growing in use. This vendor neutral course starts with an introduction to what SD-WAN is and when it is useful. Each main area of SD-WAN is then studied in more detail to enable delegates to recognise the technologies used in SD-WAN and then use this information to evaluate SD-WAN products. What will you learn Describe what SD-WAN is (and isn't). Explain how SD-WAN works. Evaluate SD-WAN products. Compare and contrast SD-WAN with other technologies such as MPLS, Ethernet, SDN, NFV and WAN optimisation. Essential SD-WAN training course details Who will benefit: Anyone wishing to learn about SD-WAN. Prerequisites: Network fundamentals. Duration 1 day Essential SD-WAN training course contents What is SD-WAN? What is SD and SDN? What is WAN? Branch/ Office. MPLS, MPLS vs Internet, Ethernet, Broadband, LTE/4G, Cable, Satellite. The impact of the cloud. Single console, Dynamic path selection, automation. Why SD-WAN? Single console Network management, orchestration, administration. Example GUI interfaces. Northbound and southbound APIs. Dynamic path selection SD-WAN transports, Overlay networks, security. VPNs, IPsec. QoS and prioritization. Policies, traffic path rules. Application specific routing, bonding, optimisation. Automation Time saving, removing errors. Zero touch, ZOOM, ZTP. The role of the orchestrator. Real time monitoring of the network. APIs. Architecture and products Hardware solutions, software solutions, virtual appliances. Clouds. SD-WAN edge devices, SDWAN controllers, Orchestrators. HA and SD-WAN. Riverbed, Cisco, Juniper, others. Summary SD-WAN doesn't replace MPLS, virtualisation and SD-WAN. Relationship with SDN and NFV. SDWAN versus WAN optimisation.

Definitive SRv6 course description This one day SRv6 training course is a condensed, intensive program designed to provide network professionals with a fast-track introduction to SRv6 (Segment Routing over IPv6). SRv6 is a revolutionary networking technology that combines the power of IPv6 with the flexibility of Segment Routing, enabling efficient and scalable network operations. In just one day, participants will gain essential knowledge and practical skills to understand, configure, and work with SRv6 in modern network environments. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer equipment. What will you learn Explain packet paths when implementing SLB. Explain how SRv6 works. Explain the difference between SR and SRv6. Implement SRv6. Troubleshoot SRv6. Definitive SRv6 course details Who will benefit: Network engineers, architects, and administrators who want to quickly grasp the fundamentals of SRv6 and its practical applications in their network. Prerequisites: Definitive Segment Routing for engineers Duration 1 day Definitive SRv6 course contents Introduction to SRv6 What is SRv6? Source based routing, difference between SR-MPLS and SRv6. IPv6 headers review, routing headers. SRv6 simplified solution. Hands on Enabling IPv6 in the legacy network. SRv6 transport Segment Routing Extension Header. SRv6 segment identifiers. End SID, End.X SID. ISIS distribution of SIDs. Header processing in a SRv6 topology. Locators. Hands on Configuring SRv6 transport. Analysing SRv6 operation. SRv6 services End.DT4 SID, End.DT6 SID. SRH encapsulation modes: Insert and Encap modes. SRv6 TE policy. Hands on Migrating to SRv6, TI-LFA protection. Micro loop avoidance. SRv6 integration with 'older' technologies MPLS. The role of iBGP and eBGP v6 sessions. Hands on Integration with legacy network. Troubleshooting SRv6 SRv6 ping and traceroute. Hands on: Used throughout the course during exercises.

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

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Why Choose Vray for Architects and Interior Designers 3ds max or Sketchup Training Course? Click here for info Achieve stunningly realistic renders with our tailored course in V-Ray. Designed for experienced SketchUp and 3ds max users, this advanced training covers model preparation and rendering techniques, customized to your skill level and preferences. Duration: 10 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own hours of your choice, available from Mon to Sat between 9 am and 7 pm. SketchUp is renowned for its user-friendly interface and widespread usage in 3D modeling. Now, with V-Ray for SketchUp, users can take advantage of a powerful rendering tool for unparalleled visualization quality and realism. V-Ray seamlessly integrates into the SketchUp environment, allowing for efficient rendering within your existing workflows. Our course is ideal for those seeking to enhance their SketchUp proficiency by incorporating V-Ray's potent rendering capabilities for 3D models. We adapt the training to your current skill levels in both SketchUp and V-Ray and tailor the content to your modeling requirements and desired rendering quality. V-Ray Rendering Training Course. Course Duration: 10 hours Course Description: This 10-hour course enhances rendering skills with V-Ray, a leading 3D visualization engine. Participants master photorealistic renders, focusing on lighting, materials, and post-production. Covering key concepts, workflow, lighting techniques, material creation, rendering settings, and post-processing, the course ensures stunning visual results. Course Outline: Module 1: Introduction to V-Ray Rendering (1 hour) Overview of V-Ray and its role in 3D rendering Understanding the rendering workflow Setting up V-Ray for your 3D software platform Module 2: Essential Rendering Concepts (1 hour) Understanding global illumination and its impact on renders Exploring image sampling and antialiasing techniques Introduction to render elements for post-processing Module 3: Lighting Techniques (2 hours) Mastering various lighting types in V-Ray Creating natural lighting with HDRI maps Implementing artificial lighting with V-Ray lights Achieving realistic daylight with V-Ray sun and sky Module 4: Material Creation (2 hours) Creating realistic materials using V-Ray material editor Applying textures and procedural maps for added realism Understanding material reflections and refractions Advanced techniques for materials like glass, metal, and fabric Module 5: Rendering Settings and Optimization (1.5 hours) Exploring V-Ray rendering settings for different scenarios Understanding render output options and resolution settings Efficiently using V-Ray distributed rendering for faster results Module 6: Post-Processing with Photoshop (1.5 hours) Enhancing renders through post-processing techniques Compositing render elements for added control Adjusting colors, contrast, and lighting in Photoshop Adding effects and final touches to achieve photorealism Module 7: Advanced Rendering Techniques (1 hour) Working with V-Ray proxies and instancing for complex scenes Utilizing V-Ray displacement for intricate detailing Understanding depth of field and motion blur effects Module 8: Real-World Project (1 hour) Applying the skills learned to complete a real-world rendering project Guidance and feedback from the instructor

Internet of Things training course description A concise overview course covering The Internet of Things and the technologies involved. Particular emphasis is placed on the high level architecture of IoT and the benefits achievable. What will you learn Describe the structure of the IoT List the technologies involved in IoT. Explain how IoT works. Internet of Things training course details Who will benefit: Non-technical staff working with IoT. Prerequisites: None. Duration 1 day Internet of Things training course contents What is IoT The Internet, what is IoT? IoT and M2M, IoT technologies, IoT architecture. Wired and wireless communication. IoT applications; Smart houses, smart cities, smart cars, wearable, environment, other domain specific IoTs. IoT architecture Physical objects, virtual objects, cloud computing, data capture, communications. Big data. Components Hardware, sensors, actuators, chips, firmware, embedded systems. Open source platforms. Power options: Battery, solar, PoE. IoT communication RF, ZigBee, Bluetooth, Bluetooth LE, RFID, WiFi, 802.11ah, mobile technologies. Wired. Arduino (as an example) Microcontrollers, the platform, development, Arduino software, reading from sensors, I2C, SPI. Arduino and the Internet, HTTP, WiFi, GSM. The cloud and IoT: Pachube, nimbits, ThingSpeak Security in IoT Authentication, Encryption, secure booting, firewalls.

Unity 3d face to face training customised and bespoke.

NTP and PTP training course description This course looks at timing and synchronization as provided by NTP and PTP. Hands on sessions primarily involve using Wireshark to analyse the protocols. What will you learn Recognise the importance of timing and synchronisation. Explain how NTP works. Explain how PTP works. NTP and PTP training course details Who will benefit: Anyone using NTP or PTP but particularly relevant for those in the broadcast industry. Prerequisites: TCP/IP foundation for engineers Duration 1 day NTP and PTP training course contents Introduction Clock drift. Timing and synchronization. Importance in computing. Importance in broadcasting. NTP NTP versions, v0 to v4. Architecture. The intersection algorithm. Accuracy. Clock strata, Stratum 0, 1, 2 and 3. Protocol modes. Hands on NTP configuration More NTP NTP packet header. Timestamps. Variables in the header. Clock synchronization algorithm. SNTP. The Windows Time service. Hands on Wireshark and NTP analysis. PTP PTP v2, IEEE 1588. Architecture. Accuracy. Synchronization with PTP. Offset and delay. Hands on Analysing PTP packet flows. More PTP Ordinary clocks, boundary clocks, masters and grandmasters. PTP specific switch types. Hardware time stamping. SMPTE ST2059-2. PTP packet header. PTP domains. Best master clock algorithm. Hands on More Wireshark and PTP.

3ds max face to face training customised and bespoke. Live online or Face to Face.