1636 Architecture courses delivered Online

ADO.NET training course description This ADO.net training course is designed to enable developers to use the toolset provided with.NET for data access including ADO.net objects, data controls, designers and interoperability with earlier ADO objects. The course is applicable for those using C# or VB.NET with ADO.NET What will you learn Retrieve and manipulate data using Microsoft's ADO.NET library. Work with the ADO.NET object model. Update data, including handling stored procedures, parameters, and return value. Search, sort and filter data. Leverage the power of XML. ADO.NET training course details Who will benefit: Programmers working with ADO.Net. Prerequisites: Effective programming with VB.NET or Concise introduction to C# Duration 2 days ADO.NET training course contents Introducing ADO.Net Traditional Data Access Architecture. ADO.Net Disconnected Data Access Architecture. Different components of ADO.Net. A review of basic SQL queries SQL SELECT Statement. SQL INSERT Statement. SQL UPDATE Statement. SQL DELETE Statement. Common data access tasks with ADO.Net Accessing Data using ADO.Net. Defining the connection string. Defining a Connection. Defining the command or command string. Defining the Data Adapter. Creating and filling the DataSet. A Demonstration Application The Interface. Loading the table. Filling the controls on the Form. Navigating through the records. Updating Data Steps for updating the table. Building the Application. Loading the table and displaying data in the form's controls. Initialising Commands. Adding Parameters to the commands. The ToggleControls() method of our application. Editing (or Updating) Records. Event Handler for the Save Button. Event Handler for the Cancel Button. Inserting Records. Deleting a Record. Using Stored Procedures Sample Stored Procedures. UPDATE Stored Procedure. INSERT Stored Procedure. DELETE Stored Procedure. SELECT Stored Procedure. Using Stored Procedures with ADO.Net.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Total sFlow training course description A comprehensive hands on course covering sFlow. The course starts with the basics of flows moving swiftly onto configuring sFlow and studying the information it provides. What will you learn Describe sFlow. Use Nmap. Recognise how sFlow can be used. Describe the issues in using sFlow. Compare SFlow with SNMP and NetFlow. Total sFlow training course details Who will benefit: Technical staff working with sFlow. Prerequisites: TCP/IP foundation for engineers. Duration 1 day Total sFlow training course content What is SFlow? Where to monitor traffic. Packet based sampling, Time based sampling. Adaptive sampling. Flow samples, Counter samples. Hands on Wireshark flow analysis. Getting started with sFlow sFlow configuration. Enabling sFlow. Per interface. Hands on Accessing sFlow data using the CLI. sFlow architecture SFlow agents and collectors. When flows are exported. Distributed sFlow architecture, subagents. sFlow reporting products. SolarWinds. Hands on Collector software. sFlow features and benefits Troubleshooting with sFlow, controlling congestion, security and audit trail analysis. Hands on Using sFlow. sFlow versus other technologies Flows. sFlow impact and scalability. sFlow versus SNMP and RMON, SFlow versus NetFlow/IPFIX. Hands on Advanced sFlow configuration.

Broadband access training course description ADSL is a broadband technology providing fast Internet access (amongst other applications) over existing telephone lines. This course covers an overview of the DSL family, what ADSL is through to how ADSL works. What will you learn Describe what ADSL is. Describe how ADSL works. Describe the ADSL architecture. Recognise the limitations of ADSL. List the elements required for an ADSL installation. Broadband access training course details Who will benefit: Network engineers and anyone who will be working with ADSL. Prerequisites: Intro to data communications & networking Duration 2 days Broadband access training course contents What is ADSL? Broadband definitions, OSI layer 1, ADSL services, WANS. ADSL features: always on, point to point, Asymmetric, speeds. ADSL benefits, xDSL family, standards, history, example DSL forum documents. ADSL architecture The big picture, The PSTN and telephones, Digital and analogue, PSTN and modems, ADSL vs. modem speeds, Block 1: Customer premises, Block 2: The last mile, Block 3: The exchange, Block 4: the core network. Customer premises Splitters, micro filters, splitter architectures, Splitterless ADSL, ADSL modems, USB, ADSL routers. The local loop ADSL PHY, Some basics, ADSL margins, speed implications, distances, RADSL, Line testing, whoosh tests, line coding, multiple channels, FDM, echo cancellation, Modulation: AM, FM, PM, QAM, QAM constellations, DMT, CAP, Framing, Superframes, fast data mode, interleaved mode, RADSL revisited. The exchange Local exchange ADSL items, DSLAMs, ADSL racks, Contention. The core network The role of the core network, ATM, ATM VPI/VCI, ATM cells, ATM layers, AAL5, RAS, Home gateways. ADSL and the higher layers Layer 2 choices, PPPoA, PPP, CHAP, Layer 4 and above, ADSL and ATM. Installing and configuring ADSL Choosing providers, line activation, hardware requirements, Configuring layer 1 and layer 2, Configuring IP. Summary ITU ADSL standards

A carefully structured advanced-level course on Apache Spark 3 to help you clear your job interviews. This course covers advanced topics and concepts that are part of the Databricks Spark certification exam. Boost your skills in Spark 3 architecture and memory management.

Architectural Studies is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Architectural Studies and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 06 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Module-01: Introduction to Architectural Studies Introduction to Architectural Studies 00:29:00 Module-02: Ancient Architecture Ancient Architecture 00:15:00 Module-03: Architectural Ideas and Movements Architectural Ideas and Movements 00:25:00 Module-04: Architectural Styles Architectural Styles 00:17:00 Module-05: Art Deco Architectural Style Art Deco Architectural Style 00:20:00 Module-06: Scandinavian Architectural Style Scandinavian Architectural Style 00:24:00 Module-07: Victorian Architectural Style Victorian Architectural Style 00:20:00 Module-08: Classical and Early Christian Architectural Style Classical and Early Christian Architectural Style 00:30:00 Module-09: Gothic Architectural Style Gothic Architectural Style 00:24:00 Module-10: Baroque and Rococo Architectural Style Baroque and Rococo Architectural Style 00:19:00 Module-11: Eclecticism Architectural Style Eclecticism Architectural Style 00:17:00 Module-12: Modern and Post-Modern Architectural Style Modern and Post-Modern Architectural Style 00:30:00 Module-13: Interior Designing Interior Designing 00:26:00 Module-14: Colour in Interior Designing Colour in Interior Designing 00:26:00 Module-15: Lighting in Interior Design Part One Lighting in Interior Design Part One 00:14:00 Module-16: Lighting in Interior Design Part Two Lighting in Interior Design Part Two 00:19:00

ADSL training course description An introduction to ATM. What will you learn Recognise the benefits of ADSL. Describe what ADSL is. Describe how ADSL works. Describe the ADSL architecture Recognise the limitations of ADSL. List the elements required for an ADSL installation. ADSL training course details Who will benefit: Network engineers and anyone who will be working with ADSL. Prerequisites: Intro to data comms & networking Duration 2 days ADSL training course contents What is ADSL? Broadband definitions, OSI layer 1, ADSL services, WANS. ADSL features: always on, point to point, Asymmetric, speeds. ADSL benefits, xDSL family, standards, history, example DSL forum documents. ADSL architecture The big picture, The PSTN and telephones, Digital and analogue, PSTN and modems, ADSL vs. modem speeds, Block 1: Customer premises, Block 2: The last mile, Block 3: The exchange, Block 4: the core network. Customer premises Splitters, micro filters, splitter architectures, Splitterless ADSL, ADSL modems, USB, ADSL routers. The local loop ADSL PHY, Some basics, ADSL margins, speed implications, distances, RADSL, Line testing, whoosh tests, line coding, multiple channels, FDM, echo cancellation, Modulation: AM, FM, PM, QAM, QAM constellations, DMT, CAP, Framing, Superframes, fast data mode, interleaved mode, RADSL revisited. The local loop ADSL PHY, Some basics, ADSL margins, speed implications, distances, RADSL, Line testing, whoosh tests, line coding, multiple channels, FDM, echo cancellation, Modulation: AM, FM, PM, QAM, QAM constellations, DMT, CAP, Framing, Superframes, fast data mode, interleaved mode, RADSL revisited. The exchange Local exchange ADSL items, DSLAMs, ADSL racks, Contention. The core network The role of the core network, ATM, ATM VPI/VCI, ATM cells, ATM layers, AAL5, RAS, Home gateways. ADSL and the higher layers Layer 2 choices, PPPoA, PPP, CHAP, layer 4 and above, ADSL and IP, ADSL and ATM. Installing and configuring ADSL Choosing providers, line activation, hardware requirements, Configuring layer 1 and layer 2, Configuring IP. Summary ITU ADSL standards.

MPLS training course description A hands-on introduction to MPLS covering the basics of what MPLS is and how to configure it, through to more advanced concepts such as MPLS VPNs and traffic engineering with MPLS. What will you learn Describe MPLS Explain how MPLS works Describe the interaction between OSPF/IS-IS/BGP and MPLS Describe MPLS traffic engineering MPLS training course details Who will benefit: Anyone working with MPLS. Prerequisites: IP Routing BGP Duration 3 days MPLS training course contents What is MPLS? What does MPLS stand for? What is MPLS? Core MPLS, MPLS and the 7 layer model, MPLS is a protocol, MPLS is a standard, MPLS runs on routers, MPLS history, Why MPLS? For service providers, For enterprises. MPLS Architecture Label Switch Routers, two types of LSR, PE and P router roles, FEC, swapping labels, MPLS packet format, Loops, TTL control. Hands on: Building the base network. Enabling MPLS. Simple testing and troubleshooting of MPLS. Label distribution Label review, label switch path, label distribution methods, piggybacking, Label distribution Protocols, LDP, LDP operation, LDP packets, discovery messages, session messages, advertisement messages, notification message, Label Information Base, routing tables, the LFIB, MPLS forwarding, penultimate hop popping, handling labels, LSP control modes, when to distribute labels, how long to keep labels, aggregation, label merging. Hands on: LDP traffic analysis. MPLS TE and QoS What is MPLS TE? Why TE? TE versus shorted path, how MPLS TE works, CR-LDP, OSPF-TE, IS-IS-TE, TE with BGP, RSVP-TE, MPLS Fast reroute, MPLS QoS. Hands on: Enabling MPLS-TE. BFD BFD, hello the BFD protocol. MPLS VPN What is a VPN? MPLS VPN types, MPLS VPN comparison, MPLS L3 VPN, VRFs, MBGP, MPLS VPN architecture, VRF RD, VRF RT, the label stack, L2 VPNs, VPWS, AToM, VPLS. Hands on: MPLS L3 VPN setup, troubleshooting.

Participants gain a foundational understanding of the UX design process, tools and techniques through an engaging mix of theory and practical application exercises.

CWNA training course description A hands-on course focusing on the technical support of WiFi. Wireless LANs are often seen as simple communications that are simply installed and then left alone to work. This course ensures that delegates will be able to install WiFi networks which work but also enable the delegates to troubleshoot WiFi when it does go wrong. What will you learn Compare 802.11 standards. Configure WiFi networks. Troubleshoot WiFi networks using spectrum analysers, Wireshark and other tools. Implement 802.11 security. Perform RF surveys. CWNA training course details Who will benefit: Technical staff working with WiFi networks. Anyone wishing to pass the CWNA exam. Prerequisites: Intro to data communications & networking Duration 5 days CWNA training course contents Introduction History, standards. RF fundamentals What is RF? Wavelength, Frequency, Amplitude, Phase. Wave behaviour. RF components. Watts, mW, dB, SNR, Link budgets. Hands on Spectrum analysis. Listing WiFi networks. WiFi connection. inSSIDer. Antennas Radiation envelopes, polar charts, gain, Antenna types. Line of Sight, MIMO. Hands on Connecting, installing, changing antennae. RSSI values. 802.11 802.11-2007, 802.11 post 2007, 802.11 drafts. 802.11 b/g/n. Hands on WiFi performance measurement. Spread Spectrum RF frequency bands, FHSS, DSSS, OFDM. Channels. Hands on Configuring channels. Topologies Mesh, Access points, distribution systems, SSID. Hands on AP configuration. Client connection profiles. 802.11 MAC CSMA/CA, Management frames, control frames, data frames. Passive scanning, active scanning. Open system authentication. Shared Key authentication. Association. RTS/CTS. Power management. Hands on Capturing frames, analysing frames. WiFi architecture WiFi client, WLAN architecture: Autonomous, Centralised, distributed. WiFi bridges. WiFi routers. PoE. Hands on WLAN controllers. Troubleshooting RF interference, multipath, adjacent channels, low SNR, mismatched power. Coverage, capacity. 802.11 Security Basics, Legacy security: WEP, MAC filters, SSID cloaking. PSK, 8021.X/EAP, WPA/WPA2. TKIP/ CCMP encryption. Guest WLANs. Wireless attacks, intrusion monitoring. Hands on WEP cracking, WPA2 configuration. RADIUS. RF Site surveys Protocol and spectrum analysis, coverage analysis. Site survey tools. Hands on Performing a site survey.