317 Architect courses in Walton-on-Thames

Total FabricPath training course description A comprehensive look at Cisco's FabricPath. This course starts with the problems in traditional switched networks then moves onto to how FabricPath solves these problems. As IS-IS is key to loop free topologies in FabricPath networks, this protocol is also studied. What will you learn Explain the benefits of FabricPath. Explain how FabricPath works Explain the role of IS-IS in FabricPath. Integrate FabricPath into existing networks. Total FabricPath training course details Who will benefit: Technical staff working with FabricPath. Prerequisites: Definitive Ethernet switching for engineers Duration 1 day Total FabricPath training course contents What is FabricPath? Layer 2 versus Layer 3, STP problems: One path, convergence, MAC explosion. Frame routing. Shortest path. Comparison with TRILL. FabricPath architecture Core and edge, VLANs, vPC+. IS-IS Link layer IS-IS, SPF trees, traffic management. IS -IS extensions for FabricPath. ISIS TLV. FabricPath forwarding Routing table, Switch IDs, multi destination trees, IGMP snooping. Roots. MAC versus switch tables. FabricPath Dynamic Resource Allocation Protocol (DRAP). FabricPath frames Encapsulation, frame format, Switch ID, Forwarding tag. Miscellaneous Basic configuration, interoperation with STP, TCN forwarding

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.

REST and RESTCONF training course description An introduction to REST and RESTCONF using Python. The course progresses from how to use them onto how they work and then looks at using them from within Python all the time on network devices. What will you learn Explain what REST and RESTCONF are. Use the REST API on network device. Use RESTCONF. REST and RESTCONF training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers. Duration 1 day REST and RESTCONF training course contents Using REST Curl, Browser plugins, Postman, RESTClient, Python. Hands on Using the REST API on network devices. What is REST? What is REST? Architecture, APIs, RESTful APIs, APIs over HTTP/HTTPS, URIs, resources, HTTP methods, GET, POST, PUT, DELETE. CRUD. Comparison with other APIs. Hands on REST analysis with Wireshark. Rest conventions Passing parameters, return values, HTTP status, JSON. XML. Hands on Configuring REST on network devices, changing format of responses, POST requests, using parameters. Configuring network devices with REST Invoking multiple RPCs. Hands on Device configuration with REST. The request library RESTFUL APIs in Python, the request library, Installation, example to retrieve the interface configuration. Hands on Using the Python requests library on network devices. RESTCONF What is RESTCONF? YANG and NETCONF, relationship with REST, RESTCONF URIs, A RESTCONF example with ietf-interfaces, RESTCONF responses. PATCH. Hands on Using RESTCONF to update a network device configuration.

NETCONF and YANG training course description An introduction to NETCONF and YANG. The course progresses from what they are, why they are needed, and how to configure them onto a more detailed analysis of how NETCONF works and how to read YANG models. What will you learn Recognise the limits and problems of SNMP and the CLI. Describe the relationship between NETCONF and YANG. Configure NETCONF on network devices. Use NETCONF to configure devices. Read YANG models. NETCONF and YANG training course details Who will benefit: Network engineers. Prerequisites: Network management technologies Duration 1 day NETCONF and YANG training course content What are NETCONF and YANG? Network management and configuration issues. What is NETCONF? What is YANG? Protocols, data models, architecture. Hands on Configuring NETCONF on network devices, using NETCONF. NETCONF NETCONF layers, Secure transport: SSH, Messages: rpc, Operations, Content. Base operations: <get>, <get-config>, <edit-config>, <copy-config>, <delete-config>, <lock>,<unlock>, <close-session>, <kill-session> NETCONF datastores: :candidate, :startup, running. Hands on Retrieving a configuration with NETCONF, Editing a configuration with NETCONF. NETCONF more details NETCONF traffic flows, NETCONF capabilities, hello, capabilities exchange., Filtering data, atomic transactions, validating configurations. Hands on Using NETCONF. YANG YANG models, IETF standard YANG models, tree diagrams, an example: YANG interface management, Module header, Imports and includes, Containers, Lists, leaves, Data types, typedef, Instance data, XML. Hands on Reading YANG data models, creating a configuration instance.

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.

Why Learn Revit and 3dsMax V-Ray Visualization Basic to Advance Training Course? Course info Master architectural visualization and photorealistic renderings. In-person or live online options available. Learn Revit and 3dsMax, V-Ray rendering, and advanced techniques. Hands-on projects for real-world experience. Duration: 40 hrs Method: 1-on-1 - Individual support. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. Comprehensive Training: Master Revit, 3dsMax, and advanced visualization techniques for exceptional results. V-Ray Rendering: Explore realistic rendering with V-Ray, including advanced techniques and materials. Real-World Projects: Work on industry-relevant projects for a professional portfolio. Flexible Learning: Choose in-person or live online sessions for an engaging experience. Lesson Recordings: Access recorded classes to reinforce your understanding. Lifetime Email Support: Get guidance and assistance from experienced instructors beyond the course duration. Autodesk Certified Instructors. Comprehensive Training: Master Revit, 3dsMax, and advanced visualization techniques for exceptional results. V-Ray Rendering: Explore realistic rendering with V-Ray, including advanced techniques and materials. Real-World Projects: Work on industry-relevant projects for a professional portfolio. Flexible Learning: Choose in-person or live online sessions for an engaging experience. Lesson Recordings: Access recorded classes to reinforce your understanding. Lifetime Email Support: Get guidance and assistance from experienced instructors beyond the course duration. Autodesk Certified Instructors. Part 1: Revit (16 hours) Module 1: Introduction to Revit Familiarizing with the Revit interface and workspace Embracing the Building Information Modeling (BIM) workflow Creating a fundamental building model as a starting point Module 2: Basic Modeling in Revit Working with essential elements such as walls, doors, and windows Constructing floors and roofs to complete the building structure Crafting functional and visually appealing stairs and railings Module 3: Advanced Modeling in Revit Delving into the creation and manipulation of families Utilizing parameters and constraints to enhance modeling efficiency Exploring intricate geometries for complex designs Module 4: Annotation and Documentation in Revit Enhancing project documentation by adding text and dimensions Generating informative schedules for better project management Mastering the printing and exporting processes for professional output Part 2: 3ds Max (16 hours) Module 1: Introduction to 3ds Max Navigating the 3ds Max interface and workspace Understanding the 3D modeling workflow for design visualization Initiating the creation of basic 3D models Module 2: Basic Modeling in 3ds Max Working with primitive shapes to build foundational models Creating and refining splines to form versatile shapes Advancing to complex 3D model development for intricate designs Module 3: Materials and Textures in 3ds Max Exploring the material editor and its functionalities Skillfully applying and adjusting materials for realistic renders Incorporating textures to add depth and detail to the models Module 4: Lighting and Cameras in 3ds Max Mastering the art of lighting creation and manipulation Utilizing the daylight system for enhanced realism Understanding cameras and perspectives for compelling visual storytelling Part 3: V-Ray (8 hours) Module 1: Introduction to V-Ray Getting acquainted with the V-Ray interface and workflow Exploring V-Ray materials and textures for high-quality renders Module 2: Lighting and Rendering in V-Ray Creating and refining lighting setups for stunning renders Utilizing global illumination to enhance the realism of scenes Implementing advanced rendering techniques for professional output Module 3: Materials and Textures in V-Ray Crafting and modifying V-Ray materials for realistic surfaces Applying V-Ray textures to add depth and realism to objects Utilizing V-Ray displacement maps for intricate details For 3ds Max free trial, visit: https://www.autodesk.co.uk/products/free-trial. To access the V-Ray free trial, visit: https://www.chaosgroup.com/. Start your journey to becoming a proficient designer and renderer in the world of 3D modeling and visualization. Download Revit Revit and 3dsMax V-Ray Visualization Basic to Advance Training Course: Proficient Software Skills: Acquire a strong command of Revit and 3dsMax, along with advanced techniques in V-Ray rendering. High-Quality Visualizations: Create realistic and visually stunning architectural visualizations using V-Ray. Architectural Modeling: Master the process of modeling architectural elements with precision and efficiency. Materials and Textures: Understand how to apply realistic materials and textures to enhance visualizations. Lighting Setup: Set up lighting environments to achieve optimal illumination and ambiance in renderings. Rendering Techniques: Explore advanced rendering techniques, including global illumination, caustics, and ambient occlusion. Real-World Projects: Complete industry-relevant projects to build a professional-grade portfolio. Problem-Solving Skills: Develop the ability to troubleshoot and resolve rendering challenges effectively. Efficient Workflows: Learn time-saving workflows and best practices for efficient visualization production. Portfolio Showcase: Showcase your newly acquired skills through a diverse range of visualizations.

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