2496 Character courses in Cardiff delivered Online

Video conferencing over IP course description A current hot topic in recent years has been the provision of multimedia services over IP networks - triple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Describe the issues of video and data convergence. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate video technologies. Design data networks, which will support video.. Video conferencing over IP course details Who will benefit: Technical staff. Prerequisites: TCP/IP fundamentals Intro to data communications & networking Duration 3 days Video conferencing over IP course contents Review Traditional video, digital video, video formats, MPEG, brief review of IP, Uses of video: downloading, streaming, TV, CCTV, conferencing. Video over IP issues Delivery methods: FTTH, ADSL, VDSL, 3G and others. Bandwidth, delay, jitter, signalling. Digitising video, CODECS, packetising video, comparison of techniques. IP performance and QOS IP TOS field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, diffserv. Video over IP protocol stack RTP, RTCP, mixers and translators, RSVP. IPv6. Conferencing Traditional solutions, Video conferencing over IP, point to point, multipoint, architectures, bridges. IETF - Session Initiation Protocol Comparison with H.323, SIP proxy, proxy server, redirect server. SDP. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, DVMRP, PIM. Security Impact of firewalls and NAT, ISMA, DRM, DTCP.

IP broadcast training course description A current hot topic in recent years has been the provision of multimedia services over IP networks aka triple or quadruple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Use Wireshark to analyse and troubleshoot TV streams. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate IPTV technologies. Design data networks, which will support IPTV. IP broadcast training course details Who will benefit: Anyone working in broadcast. Prerequisites: TCP/IP foundation for engineers Duration 3 days IP broadcast training course contents What is IPTV? What is IP? What is TV? Pixels, frames, colour, digital modulation, digital video broadcasting. SDTV, HDTV, 4K. IPTV architectures, Contribution, distribution, delivery. IPTV standards. Hands on Base IP connectivity, VLC. IPTV protocol stacks IP, TCP, UDP, RTP. IPv6. HTTP. Bandwidth requirements. Hands on IPTV bandwidth calculations. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands on Analysing MPEG frames. IP issues Quality vs. bandwidth. Bandwidth, delay, latency, jitter, signalling. Routers. Hands on Analysing jitter and other performance issues. IPTV performance and QoS IP DSCP field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, Diffserv. 802.1Q. Traffic shaping. QoE. Hands on best effort versus prioritisation. UDP versus TCP Reliable, unreliable, connection oriented, connectionless. Broadcasts, multicasts and unicasts. TCP flow control, TCP and performance. Hands on TCP window sizes. RTP RTP, ports, mixers, translators, RTCP, SMPTE, FEC. Hands on RTP analysis with Wireshark. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, PIM-SM, SSM. MLD. Hands on Analysing multicast streams. OTT TV HTTP, HTTPS, Chunked HTTP. Adaptive streaming. HTML5. DASH vs HLS. Hands on Analysing HTTP streams. Security Firewalls, TLS, DRM, watermarking. Encryption. Geolocation. VPNs. IPTV architecture and other protocols Content providers, Service providers, delivery networks, home networks. Caching, Service discovery. RTSP. SAP, SDP. DHCP, DNS, NTP

IPTV training course description A current hot topic in recent years has been the provision of multimedia services over IP networks aka triple or quadruple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Use Wireshark to analyse and troubleshoot TV streams. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate IPTV technologies. Design data networks, which will support IPTV. IPTV training course details Who will benefit: Anyone working with IPTV. Prerequisites: TCP/IP Foundation for engineers Intro to data communications & networking. Duration 3 days IPTV training course contents What is IPTV? What is IP? What is TV? Pixels, frames, colour, digital modulation, digital video broadcasting. SDTV, HDTV, 4K. IPTV architectures, Contribution, distribution, delivery. IPTV standards. Hands on Base IP connectivity, VLC. IPTV protocol stacks IP, TCP, UDP, RTP. IPv6. HTTP. Bandwidth requirements. Hands on IPTV bandwidth calculations. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands on Analysing MPEG frames. IP issues Quality vs. bandwidth. Bandwidth, delay, latency, jitter, signalling. Routers. Hands on Analysing jitter and other performance issues. IPTV performance and QoS IP DSCP field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, Diffserv. 802.1Q. Traffic shaping. QoE. Hands on best effort versus prioritisation. UDP versus TCP Reliable, unreliable, connection oriented, connectionless. Broadcasts, multicasts and unicasts. TCP flow control, TCP and performance. Hands on TCP window sizes. RTP RTP, ports, mixers, translators, RTCP, SMPTE, FEC. Hands on RTP analysis with Wireshark. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, PIM-SM, SSM. MLD. Hands on Analysing multicast streams. OTT TV HTTP, HTTPS, Chunked HTTP. Adaptive streaming. HTML5. DASH vs HLS. Hands on Analysing HTTP streams. Security Firewalls, TLS, DRM, watermarking. Encryption. Geolocation. VPNs. IPTV architecture and other protocols Content providers, Service providers, delivery networks, home networks. Caching, Service discovery. RTSP. SAP, SDP. DHCP, DNS, NTP Hands on Fixing the network.

VoIP training course description Convergence of voice and data is now a common place mainstream technology. Our Voice Over IP course investigates the characteristics of voice transmission and then studies the impact on IP networks. Practical sessions with soft phones, hard phones and gateways allow the students to see all aspects of VoIP. Network analysers are used to study packets on the wire. What will you learn Describe the issues of voice and data convergence. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate VoIP technologies. Design data networks, which will support voice. VoIP training course details Who will benefit: Anyone working in the field of networking or telecommunications. Prerequisites: TCP/IP foundation for engineers Intro to data communications & networking Duration 3 days VoIP training course contents What is VoIP Voice over IP, brief review of IP, brief review of telephones and voice. Configuring IP softphones What are softphones? Downloading, installing. Hands on Building the base IP network, a simple VoIP call with softphones, Internet telephony. Addressing E164, FQDN, IP addresses, URIs, DNS, SIP addressing, H.323 addressing. VoIP issues Bandwidth, Delay, Jitter, digitising voice, digitisation steps, coding, quality issues, MOS, voice compression, silence suppression, packetising voice, prioritising voice, jitter buffers. Hands on Simple packet analysis. Architectures Desktop, backbone, gateway, hard phones, PoE, integrating phones and PCs, carriers, Softswitches. Hands on Integrating Softphones, hard phones and analog phones. IP performance and QoS ITU delay recommendations, IP DSCP field, DiffServ, IP precedence, queuing strategies; FIFO, WFQ, custom, priority, RED, LLQ. VoIP protocol stack RTP, RTCP, mixers and translators, RSVP. Bandwidth, Erlang models, link layer overhead. Hands on Calculating VoIP bandwidth, analysing RTP packets. ITU Recommendation H.323 Architecture, protocols, terminals, Call setup, Gatekeepers, gateway discovery, H.323 registration with a gatekeeper. Hands on PC to PC using H.323. IETF - Session Initiation Protocol What is SIP? SIP protocol stack, SDP, Sip architecture, SIP messages, Initial SIP phone startup, SIP servers, proxy server, redirect server. Hands on PC to PC using SIP. Carrier networks Signalling systems, SS7, media gateways, Media gateway controllers, signalling gateways, MGCP, Megaco, SIGTRAN. Hands on PSTN interworking. Video over IP Video components, digital video, pictures and audio, video codecs, issues and solutions, video conferencing, multipoint video conferencing, video protocol stack. Appendix 1: Multicasting. Appendix 2: Voice/data integration without IP.

About this Training Course This 3 full-day course provides a sound review of Pipeline Integrity Management strategies, in compliance with regulatory requirements, including self-assessment. The course is highly interactive and takes the form of lectures and case studies. On completion of the course, the participants will have a solid understanding of the procedures, strengths, limitations, and applicability of the main issues that comprise a Pipeline Integrity Management Program. The course incorporates API 1160 / 1173 and ASME B31.8S, and explains in detail the pipeline integrity requirements described in these standards. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Objectives of this course: Explore the latest techniques used to develop a comprehensive integrity management program covering both pipelines and their associated facilities Determine the necessary elements of such a program described in detail with examples of typical program content including an overarching view of where detailed risk analysis and defect assessment fits in the program Understand the scopes and contents of pipeline integrity standards i.e. API 1160 / 1173 and ASME B31.8S On completion of this course, the participants will be able to understand: Codes used in developing Integrity Management Plans, API 1160 / 1173 and ASME B31.8S, others The elements of an Integrity Management Plan Threat assessment Critical aspects of risk assessment Prevention and mitigation measures Characteristics and limitations of different inspection methods A risk-based approach to maintenance Target Audience The course is intended for supervisors, engineers and technicians responsible for ensuring the adequate protection of pipeline assets. In addition, maintenance planners, regulators and service providers to the pipeline industry will also benefit from attending this course. Course Level Basic or Foundation Trainer Your expert course leader is a Ph.D. Metallurgical Engineer with advanced expertise in asset integrity management of oil & gas production facilities, corrosion control, materials selection, chemical treatments, pipeline pigging, inspections, fitness-for-service evaluations, failure analysis and related consulting. He has 40 years of experience working for BP in Asia and South America, Amoco in the US, Intertek, and four years with Applus-Velosi in Southeast Asia. Practical Work Experience: AIM consultant with focus on Southeast Asia operations and clients Direct technical interface with clients on Velosi services Technical consultant for ongoing regional contracts and lead roles as auditor, instructor or facilitator Main clients have included the following organisations: BP and Vico Indonesia, Pertamina Offshore Northwest Java and West Madura Offshore (Indonesia), NCSP (Vietnam), ADCO-OPCO (Abu Dhabi), Thang Long (Vietnam), Exxon-Mobil (Malaysia) and Mubadala Petroleum (Indonesia). 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 post training support and fees applicable

About this Training Course This 5 full-day course has been designed to develop skills in understanding the geometry and petrophysical characteristics of carbonate reservoirs. Depositional fabric, grain type and size and subsequent diagenetic modifications are the major controls on carbonate reservoir behaviour. The complex inter-relationship of the depositional and burial history can be unravelled to allow prediction of reservoir facies and reconstruction of three-dimensional reservoir models. This course will demonstrate the value of the reservoir model in volumetric assessment and development of carbonate reservoirs. *Previous knowledge of carbonate sedimentology is not required. Course Content in Summary: Carbonate reservoirs: Basic principles; depositional concepts; grain types; textures and fabrics; environmental reconstruction. The reservoir model - depositional and diagenetic characteristics: Sabkha/tidal flat; lagoon; shelf; reef (rudist and coral/algal); barrier/shoal; slope and redeposited; aeolian and lacustrine; karst plays. Carbonate diagenesis: Primary and secondary porosity; compaction; pressure solution; cementation; dolomitisation; porosity generation and destruction; fractures. Carbonate sequence stratigraphy Log response in carbonate rocks: Gamma; sonic; neutron; density; FMS. Reservoir assessment: Fracture reservoirs; reservoir modelling; volumetric assessment in correlation and mapping; effects of capillary pressure; interface with engineering. Training Objectives By attending this course, participants will be able to: Understand carbonate depositional systems and controls. Recognise and model controls on reservoir quality and pore systems, including diagenesis and fracturing. Understand and apply carbonate seismic stratigraphy and sequence stratigraphy. Interpret log responses. Target Audience This course is intended for petroleum geologists, explorationists, petrophysicists, geophysicists and engineers involved with exploration of carbonate plays and development of carbonate reservoirs. Trainer Your expert course leader is a Director and Senior Consultant Geologist who has worked on various carbonate consultancy projects, conducted detailed sedimentological, sequence stratigraphic and diagenetic technical studies and delivered training programmes. He was formerly Managing Director of Robertson UK Limited and was responsible for the integration between different disciplines, recognition, and encouragement of technical innovation and research and development programmes across all oil and gas divisions in the company. He was also responsible for all aspects of the performance of the main Geological, Geophysical and Reservoir Engineering Services in the company. 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 post training support and fees applicable Accreditions And Affliations

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - Identifying Basic Concepts of Data Schemas Identify Relational and Non-Relational Databases Understand the Way We Use Tables, Primary Keys, and Normalization 2 - Understanding Different Data Systems Describe Types of Data Processing and Storage Systems Explain How Data Changes 3 - Understanding Types and Characteristics of Data Understand Types of Data Break Down the Field Data Types 4 - Comparing and Contrasting Different Data Structures, Formats, and Markup Languages Differentiate between Structured Data and Unstructured Data Recognize Different File Formats Understand the Different Code Languages Used for Data 5 - Explaining Data Integration and Collection Methods Understand the Processes of Extracting, Transforming, and Loading Data Explain API/Web Scraping and Other Collection Methods Collect and Use Public and Publicly-Available Data Use and Collect Survey Data 6 - Identifying Common Reasons for Cleansing and Profiling Data Learn to Profile Data Address Redundant, Duplicated, and Unnecessary Data Work with Missing Value Address Invalid Data Convert Data to Meet Specifications 7 - Executing Different Data Manipulation Techniques Manipulate Field Data and Create Variables Transpose and Append Data Query Data 8 - Explaining Common Techniques for Data Manipulation and Optimization Use Functions to Manipulate Data Use Common Techniques for Query Optimization 9 - Applying Descriptive Statistical Methods Use Measures of Central Tendency Use Measures of Dispersion Use Frequency and Percentages 10 - Describing Key Analysis Techniques Get Started with Analysis Recognize Types of Analysis 11 - Understanding the Use of Different Statistical Methods Understand the Importance of Statistical Tests Break Down the Hypothesis Test Understand Tests and Methods to Determine Relationships Between Variables 12 - Using the Appropriate Type of Visualization Use Basic Visuals Build Advanced Visuals Build Maps with Geographical Data Use Visuals to Tell a Story 13 - Expressing Business Requirements in a Report Format Consider Audience Needs When Developing a Report Describe Data Source Considerations For Reporting Describe Considerations for Delivering Reports and Dashboards Develop Reports or Dashboards Understand Ways to Sort and Filter Data 14 - Designing Components for Reports and Dashboards Design Elements for Reports and Dashboards Utilize Standard Elements Creating a Narrative and Other Written Elements Understand Deployment Considerations 15 - Understand Deployment Considerations Understand How Updates and Timing Affect Reporting Differentiate Between Types of Reports 16 - Summarizing the Importance of Data Governance Define Data Governance Understand Access Requirements and Policies Understand Security Requirements Understand Entity Relationship Requirements 17 - Applying Quality Control to Data Describe Characteristics, Rules, and Metrics of Data Quality Identify Reasons to Quality Check Data and Methods of Data Validation 18 - Explaining Master Data Management Concepts Explain the Basics of Master Data Management Describe Master Data Management Processes Additional course details: Nexus Humans CompTIA Data Plus (DA0-001) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CompTIA Data Plus (DA0-001) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for IT professionals who wish to develop cloud computing skills to enable them to move IT workloads to the cloud and integrate products and services from different providers and industries. Their focus is to ensure that cloud deployments are secure, that automation and orchestration are used effectively to bring business value from the cloud, and that costs are controlled through effective management of cloud vendors. This course is also designed for students who are preparing to take the CompTIA Cloud+ certification exam CV0-003, or who plan to use Cloud+ as the foundation for more advanced cloud certifications or career roles. Overview In this course, you will deploy, test, secure, manage, optimize, and troubleshoot a cloud solution. You will: - Prepare to deploy cloud solutions - Deploy a pilot project - Test a pilot project deployment - Design a secure network for cloud deployment - Determine CPU and memory sizing for cloud deployments - Determine storage requirements for cloud deployments - Plan Identity and Access Management for cloud deployments - Analyze workload characteristics to ensure successful migration to the cloud - Secure systems to meet access requirements - Maintain cloud systems - Implement backup, restore, and business continuity measures - Analyze cloud systems for required performance - Analyze cloud systems for anomalies and growth forecasting - Troubleshoot deployment, capacity, automation, and orchestration issues - Troubleshoot connectivity issues - Troubleshoot security issues In this course, you will learn how to implement, maintain, and deliver cloud technologies including network, storage, and virtualization technologies to create cloud solutions. 1 - PREPARING TO DEPLOY CLOUD SOLUTIONS Describe Interaction of Cloud Components and Services Describe Interaction of Non-cloud Components and Services Evaluate Existing Components and Services for Cloud Deployment Evaluate Automation and Orchestration Options Prepare for Cloud Deployment 2 - DEPLOYING A PILOT PROJECT Manage Change in a Pilot Project Execute Cloud Deployment Workflow Complete Post-Deployment Configuration 3 - TESTING PILOT PROJECT DEPLOYMENTS Identify Cloud Service Components for Testing Test for High Availability and Accessibility Perform Deployment Load Testing Analyze Test Results 4 - DESIGNING A SECURE AND COMPLIANT CLOUD INFRASTRUCTURE Design Cloud Infrastructure for Security Determine Organizational Compliance Needs 5 - DESIGNING AND IMPLEMENTING A SECURE CLOUD ENVIRONMENT Design Virtual Network for Cloud Deployment Determine Network Access Requirements Secure Networks for Cloud Interaction Manage Cloud Component Security Implement Security Technologies 6 - PLANNING IDENTITY AND ACCESS MANAGEMENT FOR CLOUD DEPLOYMENTS Determine Identity Management and Authentication Technologies Plan Account Management Policies for the Network and Systems Control Access to Cloud Objects Provision Accounts 7 - DETERMINING CPU AND MEMORY SIZING FOR CLOUD DEPLOYMENTS Determine CPU Size for Cloud Deployment Determine Memory Size for Cloud Deployment 8 - DETERMINING STORAGE REQUIREMENTS FOR CLOUD DEPLOYMENTS Determine Storage Technology Requirements Select Storage Options for Deployment Determine Storage Access and Provisioning Requirements Determine Storage Security Options 9 - ANALYZING WORKLOAD CHARACTERISTICS TO ENSURE SUCCESSFUL MIGRATION Determine the Type of Cloud Deployment to Perform Manage Virtual Machine and Container Migration Manage Network, Storage, and Data Migration 10 - MAINTAINING CLOUD SYSTEMS Patch Cloud Systems Design and Implement Automation and Orchestration for Maintenance 11 - IMPLEMENTING BACKUP, RESTORE, DISASTER RECOVERY, AND BUSINESS CONTINUITY MEASURES Back Up and Restore Cloud Data Implement Disaster Recovery Plans Implement Business Continuity Plans 12 - ANALYZING CLOUD SYSTEMS FOR PERFORMANCE Monitor Cloud Systems to Measure Performance Optimize Cloud Systems to Meet Performance Criteria 13 - ANALYZING CLOUD SYSTEMS FOR ANOMALIES AND GROWTH FORECASTING Monitor for Anomalies and Resource Needs Plan for Capacity Create Reports on Cloud System Metrics 14 - TROUBLESHOOTING DEPLOYMENT, CAPACITY, AUTOMATION, AND ORCHESTRATION ISSUES Troubleshoot Deployment Issues Troubleshoot Capacity Issues Troubleshoot Automation and Orchestration Issues 15 - TROUBLESHOOTING CONNECTIVITY ISSUES Identify Connectivity Issues Troubleshoot Connectivity Issues 16 - TROUBLESHOOTING SECURITY ISSUES Troubleshoot Identity and Access Issues Troubleshoot Attacks Troubleshoot Other Security Issues Additional course details: Nexus Humans CompTIA Cloud Plus Certification (Exam CV0-003) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CompTIA Cloud Plus Certification (Exam CV0-003) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Course Overview Unlock your full creative potential with Creative Writing: Write Stories Like a Professional Writer! This course provides a comprehensive introduction to the art and craft of writing across a wide range of genres. Whether you aspire to write novels, poetry, children's books, or compelling non-fiction, this course offers practical insights and structured guidance to elevate your writing skills. Learners will explore key techniques for character development, dialogue creation, and story structuring, while gaining a deeper understanding of critical thinking and business writing. By the end of the course, you will be equipped with the knowledge and confidence to write professionally, refine your work through editing, and pursue opportunities for publication. Course Description Creative Writing: Write Stories Like a Professional Writer! takes you on an enriching journey through the world of creative writing. Covering fiction, non-fiction, poetry, and professional writing, the course develops both foundational and advanced writing techniques. Learners will engage with modules on writing horror and thriller stories, creating believable characters, crafting realistic dialogue, and understanding the publishing process. The course also introduces vital skills such as critical thinking and business writing to enhance versatility. With a focus on structured development and creativity, learners will build the confidence to produce polished, compelling pieces that meet professional standards. This course is suitable for individuals at all stages of their writing journey, offering the tools needed to transform ideas into powerful written works. Course Modules Module 01: Introduction to Creative Writing Module 02: The Development of Creative Writing Module 03: Novel Writing Module 04: Writing Non-Fiction Module 05: Creating Fictional Characters Module 06: Writing Realistic Dialogue Module 07: Writing Horrors, Thriller and Murder Stories Module 08: Writing for Children Module 09: Writing Poetry Module 10: Proposal Writing Module 11: Critical Thinking Module 12: Business Writing Module 13: Other Writings Module 14: Editing, Evaluating and Getting Published (See full curriculum) Who is this course for? Individuals seeking to master creative writing and storytelling techniques. Professionals aiming to enhance their communication and writing skills for diverse applications. Beginners with an interest in exploring the field of creative writing. Writers looking to prepare manuscripts for publication or self-publishing. Career Path Author Copywriter Content Writer Scriptwriter Editor Publishing Assistant Communications Officer Journalist Creative Writing Tutor

Duration 4 Days 24 CPD hours This course is intended for The App Maker builds solutions to simplify, automate, and transform tasks and processes for themselves and their team where they have deep expertise in the solution business domain. They have basic data modeling, user experience design, requirements analysis, and process analysis skills. The App Maker creates and enforces business processes, structures digital collection of information, improves efficiency of repeatable tasks, and automates business processes. The App Maker uses the Maker tools of Power Platform to solve business problems. They may use advanced features of Microsoft apps and third-party productivity tools. The App Maker is aware of the capabilities and limitations of available tools and understands how to apply them. The App Maker is self-directed, and solution focused. They may not have formal IT training but are comfortable using technology to solve business problems with a personal growth mindset. They understand the operational need and have a vision of the desired outcome. They approach problems with phased and iterative strategies. This course will teach you how to build apps with low-code techniques to simplify, automate, and transform business tasks and processes using Microsoft Power Platform. This course contains a 1-day Applied Workshop. This workshop will allow you to practice your App Maker skills by creating an end-to-end solution to solve a problem for a fictitious company. The solution will include a Microsoft Dataverse database, Power Apps canvas app, and Power Automate flows. 1 - Get started with Microsoft Power Platform for app makers Identify components Create apps Get started with Microsoft Dataverse Work with Copilot in Microsoft Power Platform 2 - Create tables in Dataverse Table characteristics Table relationships Dataverse logic and security Dataverse auditing Dual-write vs. virtual tables 3 - Create and manage columns within a table in Dataverse Define columns in Microsoft Dataverse Column types in Microsoft Dataverse Add a column to a table Primary name column Restrictions that apply to columns in a table Create an auto numbering column Create an alternate key 4 - Load/export data and create data views in Dataverse View data in a table Create or edit views of data in a table Dataverse data import options Load data into a table Dataverse data export options Export Add, update, or delete data in a table by using Excel Import data using Power Query 5 - Export data from Dataverse and use Microsoft Excel to edit records Export data to Excel Edit and update data in Excel 6 - Get started with Microsoft Dataverse for Teams Dataverse for Teams vs Dataverse Provision your first Dataverse environment Create your first table to store data 7 - Build your first app with Power Apps and Dataverse for Teams Create your first app with the hero template Customize your app with Power Apps Studio Publish your app Install template apps 8 - Build your first workflow with Power Automate and Dataverse for Teams Types of workflows that Power Automate can build in Dataverse Schedule a flow 9 - Create reports with Power BI and Dataverse for Teams Connect to and transform Dataverse for Teams data from Power BI Create a Power BI report Publish the report Share the data 10 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 11 - Explore what Power BI can do for you What can I do with the Power BI service as a consumer? View content in the Power BI service Collaborate and share in Power BI Find and view dashboards and reports 12 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 13 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 14 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 15 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Secure, publish, and share data in Power BI Share and use reports in Power BI Row-level security Publish a report to a Power BI workspace Share reports and user experience Protect data in Power BI Data refresh and alerts 18 - Embed Power BI content Embed Power BI reports Embed other Power BI content types Optimize the embedding experience 19 - How to build your first model-driven app with Dataverse Model-driven apps, powered by Microsoft Dataverse Explore sample apps 20 - Get started with model-driven apps in Power Apps Introducing model-driven apps Components of model-driven apps Design model-driven apps Incorporate business process flows 21 - Configure forms, charts, and dashboards in model-driven apps Forms overview Form elements Configure multiple forms Use specialized form components Configure views overview Configure grids Create and edit views Configure charts overview Dashboards overview Use interactive streams and tiles 22 - Manage Dynamics 365 model-driven app settings and security Configure role-based security Manage teams and business units Explore settings and customizations 23 - Use specialized components in a model-driven form Create business process flows Embed a canvas app in a model-driven form Add a timeline in a model-driven form Create a report in a model-driven form 24 - Get started with Power Apps canvas apps Start Power Apps Power Apps data sources Use Power Apps with Power Automate and Power BI Designing a Power Apps app 25 - Customize a canvas app in Power Apps Improve your app by making basic customizations Explore controls and screens in canvas apps 26 - How to build the User Interface in a canvas app in Power Apps Use themes to quickly change the appearance of your app Brand a control Icons Images Personalization Build for phones or tablets 27 - Navigation in a canvas app in Power Apps Understanding navigation The Navigate and Back functions More ways to use the Navigate function 28 - Manage apps in Power Apps Power Apps review 29 - Build a mobile-optimized app from Power Apps Learn about mobile-optimized apps Identify components to make a canvas app mobile-optimized Create a mobile-optimized app that uses responsive designs Identify performance considerations for a mobile-optimized canvas app 30 - Use and understand Controls in a canvas app in Power Apps Core properties of controls Entering and displaying data with text controls Additional controls for enhancing your app's usability Media Modern controls Work with component libraries 31 - Create formulas to change properties in a Power Apps canvas app Formulas overview Use a formula to modify the format of controls Use formulas to perform calculations Use a control to modify the property of other controls Conditional formatting Functions for validating data 32 - Use imperative development techniques for canvas apps in Power Apps Imperative versus declarative development The three types of variables in Power Apps Global variables Contextual variables Collections Additional variable concepts 33 - Manage apps in Power Apps Power Apps review 34 - Create formulas to change properties in a Power Apps canvas app Formulas overview Use a formula to modify the format of controls Use formulas to perform calculations Use a control to modify the property of other controls Conditional formatting Functions for validating data 35 - Create formulas to change behaviors in a Power Apps canvas app Formulas and functionality Understanding true and false Understanding control behaviors and actions Performing multiple actions in a formula Control the display mode through a formula Use controls and functions to create a dynamic formula 36 - Author a basic formula that uses tables and records in a Power Apps canvas app Records and tables Using the Table function Store a table Filter your table Use the lookup function to return a record Additional table functions 37 - Build a canvas app for a real estate solution with Copilot in Power Apps 38 - Get started with Power Automate Introducing Power Automate Create your first flow Troubleshoot flows 39 - Build approval flows with Power Automate Provide solutions to real-world scenarios. 40 - Build flows to manage user information 41 - Power Automate's deep integration across multiple data sources 42 - Use the Admin center to manage environments and data policies in Power Automate Administer flows Export and import flows Learn how to distribute button flows 43 - Use AI Builder in Power Automate AI Builder in Power Automate saves time Advanced usage of AI Builder in Power Automate 44 - Optimize your business process with process advisor Get familiar with process advisor Create your first recording Edit recordings and group actions Analyze recordings and interpret results Automation recommendations 45 - Optimize your business process with process advisor Get familiar with process advisor Create your first recording Edit recordings and group actions Analyze recordings and interpret results Automation recommendations 46 - Build flows for a real estate solution using Copilot in Power Automate When to use Copilot in Power Automate 47 - Use Dataverse triggers and actions in Power Automate Dataverse triggers Query data Create, update, delete, and relate actions 48 - Create tables in Dataverse Table characteristics Table relationships Dataverse logic and security Dataverse auditing Dual-write vs. virtual tables 49 - Create and manage columns within a table in Dataverse Define columns in Microsoft Dataverse Column types in Microsoft Dataverse Add a column to a table Primary name column Restrictions that apply to columns in a table Create an auto numbering column Create an alternate key 50 - Get started with Power Apps canvas apps Start Power Apps Power Apps data sources Use Power Apps with Power Automate and Power BI Designing a Power Apps app 51 - How to build the User Interface in a canvas app in Power Apps Use themes to quickly change the appearance of your app Brand a control Icons Images Personalization Build for phones or tablets 52 - Get started with Power Automate Introducing Power Automate Create your first flow Troubleshoot flows 53 - Challenge Project - Build a booking requests app with Power Apps and Power Automate Prepare