2687 Courses in Kirkcaldy

Train the Trainer, Trainer Development,

Emotional Intelligence, EQ, EI, Moccasin Approach, Moccasin Manager,

The Moccasin Manager, The Moccasin Approach, Management Training, Management Development,

Change management, dealing with change.

Customer care, customer service, Moccasin Approach,

Learning Centre Support Specialist, Learning Support Assistant,

This course is a great and exciting journey for who wants to learn ladies cutting. From beginners to the more experienced, lectures and demonstrations and hands on training daily, learning the Sid Sottung method of hair cutting and styling. You will be provided with real human hair mannequins to start and after that up to 6 live models.

DWDM training course description A concise overview of Wave Division Multiplexing (WDM) with both Coarse Wave Division Multiplexing (CWDM) and Dense Wave Division Multiplexing (DWDM) being covered. The course starts with a review of the relevant elements of fibre transmission and multiplexing before then studying WDM components and architectures. Reliability, resilience and management are then followed by WDM services and futures. What will you learn Explain the benefits of WDM. Describe Dispersion and four way mixing. Describe the different WDM equipment components. Describe different WDM architectures. Explain How DWDM works. DWDM training course details Who will benefit: Anyone working with CWDM/DWDM. Prerequisites: Telecommunications Introduction Duration 2 days DWDM training course contents Fibre communications review Optical transmission, Fibre characteristics, Fibre component parts. Multi Mode Fibre (MMF). Single Mode Fibre (SMF). Fibre connections. Lasers. Attenuations, dispersion, optical signal noise ratios (OSNR) and their effects. Channel Spacing and Signal Direction. Limiting factors to single wavelength. WDM overview Multiplexing, TDM, WDM benefits. WDM standards. CWDM vs. DWDM. Four Wave Mixing (FWM). Impact and countermeasures to FWM on WDM. CWDM ITU G.694.2, channels, channel spacing. DWDM ITU G.694.1, channels, channel spacing. WDM Equipment Components Equipment components and building blocks. Optical Terminal Multiplexers (OTM). Optical Add/Drop Multiplexers (OADM). Adding versus dropping. Optical Amplifiers. Erbium Doped Fibre Amplifiers (EDFA). Transponders and Combiners. WDM/DWDM Hubs. Optical and Electrical Cross Connects (OXCs/DXCs). Types of Cross Connects (Transparent/Opaque). Advantages and disadvantages of various Optical cross connects. WDM Architectures WDM network sections. Point-to-Point, Optical switches, mesh, ring and star topology. Example of combined WDM and other technology network. Wavelength converting transponders, 1R, 2R, 3R. Protection for WDM Sub 50ms failover. Equipment protection. Card protection. Y cable, Splitter protection. Far end laser control. Line protection. OMSP 1+1, OMSP 1:1, OMSP 1: N. Self healing optical ring. Sub Network Connection Protection (SNCP). Automatically Switched Optical Networks (ASON). WDM Management Options In band management. Out of band management. The Optical Supervisory Channel (OSC). OSC capabilities. WDM services WDM Access. Bit rates, Transparent Networks. Modulation, DQPSK. SDH over WDM. Migrating from SDH to DWDM. Ethernet over WDM, IP over WDM. Optical Transport Networks G.709, 'digital wrapper', Optical Channel Payload Unit (OPU), Optical Channel Transport Unit ( OTU), Optical Channel Data Unit (ODU). OTU1, OTU2, OTU3, OTU4. WDM Futures All optical amplification, Raman amplification, distributed, lumped. Bit rates. Solitons. Coherent technologies.

Advanced Kibana training course description This training course is aimed at users who already have some experience with Kibana, who are looking to further their knowledge. What will you learn Lens Timelion Maps Custom Visualisations with Vega Canvas Filters and Controls Drilldown and Dashboards KQSL and ElasticQueries Scripted and RunTime Fields Alerts and Alarms Advanced Kibana training course details Who will benefit: Users who already have some experience with Kibana, who are looking to further their knowledge. Prerequisites: None Duration 1 day Advanced Kibana training course contents Topics Lens Visualisation types (tables,bars,charts) Category breakdown Adding multiple metrics Using formulas in metrics Labels Adding reference layer Limitations Visualise Library Timeseries, Metrics Different types of aggregations Maps GeoMapping Heat Maps Using ES index as data source Visualisation, tool tips Custom Visualisations with Vega Introduction to vega scripting Canvas Widgets and Texts Elasticsearch SQL Canvas Expressions Filters and Controls Dropdown filters Ad-hoc filters Searchbar filters Drilldown Dashboards Linking one dashboard to another KQSL and ElasticQueries Bool Query AND/OR Phrase Part match vs keyword search Wildcard search Scripted and RunTime Fields Creating ad-hoc calculated fields using scripts Performance issues Alerts and Alarms Query Based Formatting output Connector types(email,index,teams etc)

Cloud technologies training course description This course provides an introduction to cloud technologies, including, configuration and deployment, security, maintenance, and management. It covers all aspects of cloud computing infrastructure. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. . What will you learn Contrast and compare AWS, GCP and Azure. Explain the different cloud services, models and characteristics. Explain cloud virtualization components and options. Explain cloud security options. Describe cloud automation, orchestration, monitoring and performance options. Cloud technologies training course details Who will benefit: Anyone working with or looking to work with cloud technologies. Prerequisites: None. Duration 2 days Cloud technologies training course contents What is the cloud? The Internet Cloud computing Benefits Disadvantages Cloud services IaaS, PaaS, SaaS, others. Cloud service providers AWS, GCP Microsoft Azure, others Cloud architectures Private, public, hybrid others Cloud based delivery The cloud and virtualization Virtual Machines, networks, storage, deployment. Accessing the Virtual Machine Secure cloud environments Security considerations. Data privacy considerations Automation and orchestration Monitoring and performance Performance Cost issues Cost containment