2630 Architect courses

Edinburgh city centre sketching tours with ink and watercolour artist Mark Kirkham, known locally as The Edinburgh Sketcher

LTE Architecture and Protocols course description This course provides a comprehensive tour of the LTE architecture along with services provided and the protocols used. What will you learn Describe the overall architecture of LTE. Explain the information flows through LTE. Describe the LTE security. Describe LTE mobility management. Recognise the next steps for LTE. LTE Architecture and Protocols course details Who will benefit: Anyone working with LTE. Prerequisites: Mobile communications demystified Duration 3 days LTE Architecture and Protocols course contents Introduction History, LTE key features. The 4G ITU process. The LTE 3GPP specifications. Specifications. System Architecture LTE hardware architecture. UE architecture and capabilities. E-UTRAN and eNB. EPC, MME functions, SGW, PGW and PCRF. System interfaces and protocol stacks. Example information flows. Dedicated and default bearers. EMM, ECM, RRC state diagrams. Radio transmission and reception OFDMA, SC-FDMA, MIMO antennas. Air interface protocol stack. Logical, transport and physical channels. Frame and slot structure, the resource grid. Resource element mapping of the physical channels and signals. Cell acquisition, data transmission and random access. MAC, RLC, PDCP protocols. LTE spectrum allocation. Power-on procedures Network and cell selection. RRC connection establishment. Attach procedure, including IP address allocation and default bearer activation. LTE detach procedure. Security in LTE networks LTE security features, identity confidentiality, ciphering and integrity protection. Architecture of network access security in LTE. Secure key hierarchy. Authentication and key agreement procedure. Security mode command procedure. Network domain security architecture. Security associations using IKE and IPSec. Mobility management RRC_IDLE, RRC_CONNECTED. Cell reselection, tracking area updates. Measurement reporting. X2 and S1 based handovers. Interoperation with UMTS, GSM and non-3GPP technologies such as cdma2000. QoS, policy control and charging QoS in LTE, EPS bearers, service data flows and packet flows. The architecture and signalling procedures for policy and charging control. Data transport using GPRS, differentiated services and MPLS. Offline and online charging in LTE. Delivery of voice and text messages over LTE Difficulties and solutions for Voice over LTE. Architecture and call setup procedures for circuit switched fallback. Architecture, protocols and call setup procedures in IP multimedia subsystem. Enhancements in release 9 LTE location services. Multimedia broadcast / multicast service and MBSFN. Cell selection, commercial mobile alert service. LTE Advanced and release 10 Impact of carrier aggregation on LTE air interface. Enhanced MIMO processing on uplink and downlink. Relaying. Release 11 and beyond. OAM and self organising networks Operation, administration, maintenance and provisioning for LTE. Self-configuration of base station parameters. Fractional frequency re-use, inter-cell interference co-ordination. Self-optimisation of base station procedures. Self-healing to detect and recover from faults.

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

This course will show you why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.

Discover Microsoft Fabric's architecture, master Data Engineering with OneLake and Spark, and elevate your skills in data warehousing and real-time processing. Compare SQL and KQL for better insights, and improve storytelling using Power BI. Finally, you will end with practical data science techniques and data management methods.

Learners will develop knowledge from the FD&FA foundation courses (C01 modules 1 and 2) and/or industry experience with specific regard to more complex system design considerations.

This course will help you master Spring, Spring Boot, Spring Modules - JDBC, AOP, and Data JPA through a hands-on, step-by-step approach. You will also be introduced to unit testing with JUnit and Mockito and learn how to communicate with the database using the Spring framework.

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

Explore our comprehensive IT Support Technician Training Course with 64 modules covering computer basics, hardware, operating systems, troubleshooting, databases, programming, and more. Perfect for beginners and professionals alike.

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