187 Architect courses in Epping

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.

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.

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.

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

Introduction to Design Thinking Innovation is the cornerstone of highly successful companies, especially those that continue to be successful over the years and decades. Design thinking practices fuel this continual innovation, as they are the critical links from inspiration to delivery, concept to showroom floor, and start-up to global business. Design thinking is a structured approach to promoting innovation and creative problem-solving. It is not a new approach. It has been around for centuries, as the art, architecture, and inventions of mankind illustrate. By examining the steps to achieving great design and maximum utility of product, design thinking approaches provide a framework in which to develop new solutions to problems and new products to sell. This highly interactive course is designed to help participants think like designers to generate innovation, and to help teams to produce more innovation and creativity. Since design thinking is based on doing rather than thinking, we participants are challenged to apply the techniques, in the classroom, to create new ideas and solutions to a case study project. What you will Learn At the end of this program, you will be able to: Explain the underlying principles and value of using Design Thinking for innovation Describe the basic concepts of the Stanford Model for Design Thinking Evaluate a set of basic Design Thinking techniques for application to your projects Apply tools, techniques, and skills aligned with the 5 stages of the Stanford Model Drive innovation through Design Thinking at some level in your work environment Foundation Concepts Problems and solutions The Design Thinking difference Design Thinking skills and abilities Design Thinking mindset Design Thinking frameworks Stages of Design Thinking Problems and solutions The Design Thinking difference Design Thinking skills and abilities Design Thinking mindset Design Thinking frameworks General Practices Team formation Visualization Improvisation Personalization Empathize Practices Overview of Empathize techniques Observation Engagement Interviews Define Practices Overview of Define practices Unpacking techniques Defining the customer techniques Integrating the Define experience Ideate Practices Overview of Ideate practices Reusable techniques for the Ideate stage New Ideate techniques to explore Prototype & Test Practices Overview of Prototype practices Examples of prototypes Overview of Testing practices Forms of testing techniques Adopt and Adapt Design Thinking Overview of Design Thinking implementation Design Thinking implementation challenges Success in implementing Design Thinking Summary and Next Steps Workshop summary Next steps: Personal Action Plans

Introduction to Design Thinking: In-House Training Innovation is the cornerstone of highly successful companies, especially those that continue to be successful over the years and decades. Design thinking practices fuel this continual innovation, as they are the critical links from inspiration to delivery, concept to showroom floor, and start-up to global business. Design thinking is a structured approach to promoting innovation and creative problem-solving. It is not a new approach. It has been around for centuries, as the art, architecture, and inventions of mankind illustrate. By examining the steps to achieving great design and maximum utility of product, design thinking approaches provide a framework in which to develop new solutions to problems and new products to sell. This highly interactive course is designed to help participants think like designers to generate innovation, and to help teams to produce more innovation and creativity. Since design thinking is based on doing rather than thinking, we participants are challenged to apply the techniques, in the classroom, to create new ideas and solutions to a case study project. What you will Learn At the end of this program, you will be able to: Explain the underlying principles and value of using Design Thinking for innovation Describe the basic concepts of the Stanford Model for Design Thinking Evaluate a set of basic Design Thinking techniques for application to your projects Apply tools, techniques, and skills aligned with the 5 stages of the Stanford Model Drive innovation through Design Thinking at some level in your work environment Foundation Concepts Problems and solutions The Design Thinking difference Design Thinking skills and abilities Design Thinking mindset Design Thinking frameworks Stages of Design Thinking Problems and solutions The Design Thinking difference Design Thinking skills and abilities Design Thinking mindset Design Thinking frameworks General Practices Team formation Visualization Improvisation Personalization Empathize Practices Overview of Empathize techniques Observation Engagement Interviews Define Practices Overview of Define practices Unpacking techniques Defining the customer techniques Integrating the Define experience Ideate Practices Overview of Ideate practices Reusable techniques for the Ideate stage New Ideate techniques to explore Prototype & Test Practices Overview of Prototype practices Examples of prototypes Overview of Testing practices Forms of testing techniques Adopt and Adapt Design Thinking Overview of Design Thinking implementation Design Thinking implementation challenges Success in implementing Design Thinking Summary and Next Steps Workshop summary Next steps: Personal Action Plans

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.