43 Cloud courses in Edinburgh

Regardless of your computer experience, this class will help you become more aware of technology-related risks and what you can do to protect yourself and your organization from them.

Adobe Lightroom Classic helps solve two of the main problems that afflict digital photographers: how to organise all your files, and how to edit them without spending all of your spare time at a computer screen. Lightroom Classic is a convenient and flexible desktop programme that helps you to organise and sift your photographs into collections, and also gives access to a powerful set of tools that edit, enhance and export your pictures. You can use intuitive pre-set tools, you can create your own favourite adjustments, you can edit large numbers of images with one click of a mouse, and you can fine-tune your image-editing by selectively working on parts of a picture. And you can experiment, secure in the knowledge that you are working in a non-destructive environment and that your pictures are safe. This practical short course will introduce you to the principles of file organisation and image-editing, giving you the knowledge and confidence to choose when to work with this convenient and flexible programme, and whether or not you need the full power of Photoshop Creative Suite. Sample picture files will be provided for you to work with, or you can bring a selection of your own. If you work in RAW, please also bring JPEGs on a memory stick, external hard drive or cloud storage such as Dropbox. Please note this course does not cover the new version of LightRoom CC (which is specifically designed for mobile devices) and only uses the most recent version of LightRoom Classic. Morning You will get to know the Lightroom layout and workspace, importing a set of files into the catalogue and starting to organise the files into collections and adding useful file information. You will explore the opportunities for viewing and aids for analysing the pictures. You will start to use the convenient ‘quick develop’ editing tools. We will then explore the digital image-editing workflow. The usual flow is to correct and optimise before we enhance, interpret or exaggerate. The basic areas to consider are cropping, cloning, colour and tone. Taking each in turn, we will correct and clean up the pictures in a measurable and controllable way. We will investigate techniques to control digital noise, colour distortions and lens corrections. We will work on individual files and also start applying corrections to batches. We will create and apply pre-set corrections. Afternoon Having corrected and optimised the picture files, we can start interpreting, enhancing and exaggerating – the fun part of image-editing! We can try colour to black-and-white conversions, using the many pre-sets to guide; we can selectively boost or restrain colours; we can add grain and textures, vignettes and split tones; we can mix and match these effects and create and save our own favourite effects. We can apply adjustment effects to selected picture areas. Image editing is all good fun, but how do we know where to start? Or when to stop? We‚’ll have a look at some photographic styles and techniques from photography’s rich history to give us some ideas and then try to replicate them. We will discuss ways of using the programme and the technology to develop photographic projects. And we will look at how Lightroom can help us to export those projects as books, prints and slideshows. Designed for those who are already familiar with some digital photography processes but who want to pursue a particular aspect and develop skills in a specific genre. This course is the perfect follow-on from our Digital SLR training courses and will support you in building upon your existing knowledge of camera skills and allow you to work confidently on your own projects. Some prior digital SLR photography experience is therefore recommended.   Courses are subject to minimum enrolment. Please register early, within five days of the start date, to reduce the likelihood of course cancellation. Please read our cancellation policy before booking. Students, anyone over the age of 65, and those in receipt of any form of benefits can claim the concessionary price, offering a 10% discount on the full course price. Valid proof of eligibility must be produced on the first day of the course. Please use the code CONCESSION when prompted at checkout.

This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data and visualize data and insights using advanced visualizations in charts and dashboards in Excel.

Power BI is a powerful data visualisation program that allows businesses to monitor data, analyse trends, and make decisions. This course is designed to provide a solid understanding of the reporting side of Power BI, the dashboards, where administrators, and end users can interact with dynamic visuals that communicates information. This course focuses entirely on the creation and design of visualisations in dashboards, including a range of chart types, engaging maps, and different types of tables. Designing dashboards with KPI's (key performance indicators), heatmaps, flowcharts, sparklines, and compare multiple variables with trendlines. This one-day programme focuses entirely on creating dashboards, by using the many visualisation tools available in Power BI. You will learn to build dynamic, user-friendly interfaces in both Power BI Desktop and Power BI Service. 1 Introduction Power BI ecosystem Things to keep in mind Selecting dashboard colours Importing visuals into Power BI Data sources for your analysis Joining tables in Power BI 2 Working with data Utilising a report theme Table visuals Matrix visuals Drilling into hierarchies Applying static filters Group numbers with lists Group numbers with bins 3 Creating visuals Heatmaps in Power BI Visualising time-intelligence trends Ranking categorical totals Comparing proportions View trends with sparklines 4 Comparing variables Insert key performance indicators (KPI) Visualising trendlines as KPI Forecasting with trendlines Visualising flows with Sankey diagrams Creating a scatter plot 5 Mapping options Map visuals Using a filled map Mapping with latitude and longitude Mapping with ArcGIS or ESRI 6 Creating dashboards High-level dashboard Migration analysis dashboard Adding slicers for filtering Promote interaction with nudge prompts Searching the dashboard with a slicer Creating dynamic labels Highlighting key points on the dashboard Customised visualisation tooltips Syncing slicers across pages 7 Sharing dashboards Setting up and formatting phone views Exporting data Creating PDF files Uploading to the cloud Share dashboards in SharePoint online

Network DevOps course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network DevOps course details Who will benefit: Administrators automating tasks. Prerequisites: TCP/IP Foundation Duration 5 days Network DevOps course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal. Hands on Python programming with pyping. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install. Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Network automation course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network automation course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 5 days Network automation course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/ or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles Configuration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Scripting versus application development, Python interactive mode, Python scripts, Python 2.7 vs Python 3. A simple Python script. Variables, loops, control statements, operators. PEP style guide. Python IDEs. Hands on Simple Python programs. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install, Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. PyEZ Juniper, NETCONF, installing PyEZ, a first pyEZ script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

NFV training course description Network Functions Virtualization (NFV) brings many benefits, this training course cuts through the hype and looks at the technology, architecture and products available for NFV. What will you learn Explain how NFV works. Describe the architecture of NFV. Explain the relationship between NFV and SDN. Recognise the impact NFV will have on existing networks. NFV training course details Who will benefit: Anyone wishing to know more about NFV. Prerequisites: Introduction to Virtualization. Duration 2 days NFV training course content Introduction What is NfV? What are network Functions? NfV benefits, NfV market drivers. ETSI NfV framework. Virtualization review Server, storage and network virtualization and NfV. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. Virtualization of Network Functions Network virtualization versus Network Function virtualization. ETSI NfV architecture ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. IETF and NfV Creating services, Service Functions, Service Function Chaining. SPRING and source packet routing. YANG and NetConf. RESTCONF. VLANs, VPNs, VXLAN. MANO Management and Orchestration. OpenStack, OpenDaylight PaaS and NfV. The VNF domain. Service graphs, MANO descriptors, Open orchestration. The virtualization layer VM centric model, containers versus hypervisors, FD.io. Summary Deploying NfV, performance, testing. Futures.

Data comms training course description A hands on training course introducing the concepts of data communications, moving on to covering both LAN and WAN technology. Quizzes are used extensively to ensure material has sunk in and to maximise learning time. Hands on sessions ensure that by the end of the course delegates have made cables, built LANS and WANS, configured TCP/IP, switches and routers. What will you learn Use the seven layer model to classify networking buzzwords. Build and troubleshoot Ethernet, LAN/WAN and WiFi networks Explain the difference between switches and routers. Connect networks with routers. Data comms training course details Who will benefit: Anyone who requires a technical introduction to networks. Prerequisites: None. Duration 3 days Data comms training course contents What are networks? What is data communications? What are networks? Types of network, LANs, LAN choices, WANs, WAN choices, PANs, SANs, MANs, connecting networks. Internetworks, the internet, clouds. Networks and standards Standards bodies, ISO, ITU, IEEE, IETF, OSI 7 layer reference model, TCP/IP and OSI, ping and the 7 layer model, encapsulation, fragmentation. The physical layer Transmission media: Copper, Fibre, RF, UTP, Cat 5/5e/6/7..., RJ45, straight and cross over cables. Coax, Fibre cable & connectors, SFP, MMF, SMF, radio spectrum, frequencies, ranges, noise and electrical distortion, repeaters. Hands on Cabling, ping. Bandwidth Definition, Bits, bytes, speeds, simplex, half/full duplex, a/symmetrical, aggregation, latency. Calculating bandwidth requirements. The Data Link layer Frames, classifications, standards, LAN/WAN layer 2 technologies (Point to point, virtual circuits). Ethernet What is Ethernet? 802.3, evolution from CSMA/CD, choosing cables, topologies, NICs, MAC addresses. Ethernet frame format. Hands on Analysing Ethernet frames. Ethernet switches Connecting multiple devices, switches work at layer 2, Switches vs. hubs, simultaneous conversations, full duplex, MAC address database, how switches work, switch benefits, loops, STP. Console ports. Hands on Switches and WireShark, configuring switches, broadcast storms, STP. VLANS What are VLANs, why have VLANs. Hands on The effect of VLANs on network traffic. Wireless LANs Type of wireless network. WiFi, 802.11b/g/n/ac, WiFi6, antennae, interference, 802.11 frame format, CSMA/CA, half duplex, Wireless Access Points, security. Hands on Building a WiFi network. WANS WAN architecture, WAN types, service providers, access equipment, DTE, DCE, core equipment, WANs and the 7 layer model, choosing a WAN. WAN access Point to point, multi access, Internet, phone lines, leased lines, xDSL, broadband architecture. DOCSIS, FTTH, PON, SD-WAN. Older technologies (if required): Modems, ISDN, 64k, E1, TDM. Packet switched networks Packet switching, virtual circuits, Hub & spoke, partial & full mesh, MPLS, MPLS and routers, Why MPLS? MPLS -TE, MPLS VPN, Internet VPN. Older technologies (if required). Service provider technologies Transport plane, SDH, SONET, WDM, CWDM, DWDM, DWDM architectures, OTN. TCP/IP Definition, protocols, services, internetworking, the Internet, intranets, IAB, RFCs, IP header, IP addressing, subnet masks, IPv6, TCP, UDP. Hands on IP address and subnet mask configuration. Routers What are routers? Routers vs switches, when to route and when to switch, default gateways, routing tables, static routes, routing protocols. Firewalls, how firewalls work. Hands on Router configuration, tracert. Applications Clients, servers, web, HTTP, Email, resource sharing, IM, VoIP, Video over IP, terminal emulation, ftp, ssh. Hands on telnet

Enhance your cloud technology knowledge with  Time Training Center’s  AWS Certification Courses in Abu Dhabi.Our Courses gives you hands on experience with real-world AWS solutions.By enrolling in our courses you will get to know the best practices for cloud deployment.By the end of courses  you will have a comprehensive understanding of AWS and how to maximize its potential in the market today. Enroll now! Call us: 97126713828 Mail : info@timetraining.ae Learn more:https://www.timetraining.ae/course_category/aws-courses Address: Office 203, ADCP Tower - B,Behind City Seasons, Electra Street, Abu Dhabi United Arab Emirates

Network automation training course description This course concentrates on the technical side of tools and languages for network DevOps rather than the soft skills. These tools include Python, Ansible, Git and NAPALM By the end of the course delegates should be able to recognise the tools that they can use to automate their networks and be able to use the knowledge gained to feel confident approaching network automation. What will you learn Describe network DevOps. Choose network automation tools. Explain the role of various network automation technologies including: Python Ansible Git NAPALM Network automation training course details Who will benefit: Those wishing to learn about the tools of network automation. Prerequisites: Introduction to data communications. Duration 1 day Network automation training course contents What is DevOps and network automation Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Unit testing. Hype vs reality. Benefits and features. Network monitoring and troubleshooting Traditional methods, SNMP. Netflow and xflow. Traditional automation. Streaming telemetry. Event driven automation. gRPC, Protocol buffers. Configuration management Catch 22 and initial configuration. ZTP, POAP. Traditional automation. TFTP. Ansible vs the rest (chef, salt, puppet). Jinja2 and templating. How ansible works. Network programmability Programming languages. Linux, shell scripting. Python vs the rest. Off box vs on box automation. Python network libraries Sockets pysnmp, ncclient, paramiko, netmiko, pyez, NAPALM. APIs Proprietary APIs, CLI, NETCONF, RETCONF. YANG, XML, YAML, JSON. Other tools Git, GitHub, Jenkins, JIRA and others.