31 Gan courses in Cardiff delivered Live Online

Microsoft Project White Belt® 2013: Virtual In-House Training This workshop serves as an introduction to the interface and features of Microsoft® Project 2013. This course will be led by an IIL-certified instructor who will outline the benefits of Microsoft Project, provide tips on using various features and common shortcuts, recommend guidelines, and discuss the application of scheduling concepts to manage project work This workshop serves as an introduction to the interface and features of Microsoft® Project 2013. This course will be led by an IIL-certified instructor who will outline the benefits of Microsoft Project, provide tips on using various features and common shortcuts, recommend guidelines, and discuss the application of scheduling concepts to manage project work. What you Will Learn You'll learn how to: Define key scheduling concepts and terms Effectively navigate the user interface and interpret common views Configure essential elements of a new schedule Enter and modify a task list Set dependencies between tasks Create a basic resource list and generate assignments Format targeted areas of the Gantt Chart view Prepare the schedule for printing Getting Started Introductions Course objectives Course outline Navigating the User Interface and Views Navigate and use the Ribbon Use and customize the Quick Access Toolbar Modify general and display options Become familiar with major elements on the Project screen Navigate Gantt Chart, calendar, and network diagram views Search for a help topic Setting up a New Schedule Create new schedules Create a new schedule using existing information Enter and modify the schedule start date Enter and modify exception days in the calendar Entering, Modifying, and Outlining Task Data Enter, edit, correct, and clear information Enter unscheduled tasks Enter duration estimates for a single task or multiple tasks Organize tasks Set up a multi-level outline Add notes to tasks Creating Dependencies by Setting Links Identify a critical path in a simple schedule Understand how scheduling software calculates a critical path Describe dynamic schedules and dependencies Create links using various methods Display the critical path Entering and Assigning Resources Plan for resources Create a list of available resources Assign resources Formatting Gantt Chart View Format text and Gantt Chart bars Format a collection of items Configure print options

Learn how to better apply project management techniques to manage small projects as part of your normal role.

Learn how to manage internal and/or external stakeholders’ expectations within a project environment. Course overview Duration: 1 day (6.5 hours) This course is suitable for anyone who has to manage internal and/or external stakeholders’ expectations within a project environment. The course will provide tools and techniques to manage stakeholder’s expectations and needs. It will help participants to map all stakeholders who impact the capability to deliver the desired results. Participants will work with a fictitious project to bring all the analysis and tools to life.  Objectives  By the end of the course you will be able to: Identify both primary and secondary stakeholders Use tools and processes to manage stakeholder expectations Use techniques to help win support for your projects Put together a stakeholder communication plan Determine the best communication methods Build relationships between you and key stakeholders Use influencing skills to influence stakeholders before they influence you Effectively handle conflict that occurs throughout the project lifecycle Determine the fundamental rules of negotiation and how to achieve a satisfactory outcome Content Identification and stakeholder analysis Using a mind map to determine stakeholders and stakeholder groups Analysis of stakeholder interest and power Using different tools to help determine stakeholder needs and expectations Categorising your stakeholders into primary, secondary and key Interviewing stakeholders to determine needs, expectations and politics Influencing strategies Using a planning tool to determine how different stakeholders can be influenced Interviewing stakeholders to determine what will motivate/de-motivate them Looking at communication methods and choosing the most appropriate in order to influence and manage expectations Production the communication strategy Using a case study and project Gantt to produce a detailed communication plan Using a communication plan structure Conflict Management Identifying common causes of conflict in the project lifecycle Finding the most appropriate response to resolve conflicts effectively Determining your default position and understanding why it might not always be right Negotiation The different types of negotiation used in the project environment Determining a simple negotiation process Understanding the principles of effective negotiation – the do’s and don’ts

Course Objectives At the end of this course you will be able to: Identify the components of the Microsoft Project environment Create a new project plan Create the project schedule Use different views to analyse the project plan Create, allocate and manage resources in a project plan Finalise a project plan Track progress View and report project plan information ' 1 year email support service Customer Feedback Very good course. Learnt a lot. Looking forward to the next level. Alexandra - CIAL ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Introduction to Microsoft Project Recap on project management concepts Project environment overview The 3 databases: Tasks, Resources and Assignments Different ways of displaying the Project Plan Access Help Creating a Project Plan Create a New Project Plan Project Information Create and apply the project calendar Defining recurring exceptions to the calendar Defining the calendar's work weeks Create the Summary tasks Create the Work Breakdown Structure Task creation and scheduling Exploring the Entry Table and its fields Task editing and the Task Information window Task Durations Defining Milestones Manual Scheduling vs Automatic Scheduling Changing the Task's Calendar Create a split in a Task Create Task Relationships Adding Lag or Lead to a Relationship Identifying the Critical Path Adding Constraints and Deadlines to Tasks Create Recurring Activities Adding Notes and links to Tasks Managing Resources Exploring the Entry Table and its fields Resource editing and the Resource Information window Resource Types Fixed Costs vs Variable Costs Adding Resource Costs Defining when costs accrue Changing the Resource Calendar and Availability Project calendar vs Resource and Task Calendar Assigning Resources to Tasks Effort Driven Scheduling Resolving Resource Overallocation Tracking the Project Progress Setting a Project Baseline Entering Actuals Different ways of viewing the Progress Checking if the Project is on track Viewing and Reporting Project Detail Adding Tasks to the Timeline and sharing it Modifying the Timescale and Zoom level Formatting the Gantt View Filtering and Grouping Tasks Print and Troubleshoot the Gantt View Using built-in Reports in Microsoft Project Who is this course for? Who is this course for? This course is designed for a person who has an understanding of project management concepts, who is responsible for creating and modifying project plans, and who needs a tool to manage these project plans. Requirements Requirements General knowledge of the Windows OS Career path Career path Microsoft Office know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills

Learn the art of tambour beading in this class

WORKSHOP: Working as a Psychologist Expert Witness specialising in Trauma and Memory: From Instruction to Cross Examination An online practical workshop for Clinical, Counselling and Forensic Psychologists, guiding you through the process of working as an Expert Witness.

Music industry advice sessions are back! Sound Gallery studios are proud to host once again music industry advice seminars led by Integrity Records Record label owner one of the U.K.’s longest running truly independent record labels and known for finding & nurturing cool new talent.  Find out how to pitch your music to music industry professionals, how to build and sustain a career as a professional musician, how to set up your own record label, how to protect your creation including copyright and music publishing, how to get airplay and more from Integrity Records CEO and founder Nick Tarbitt.  Nick has many years experience as a media & entertainment lawyer, advising musicians, management companies and record labels on contractual issues, but with a particular interest in assisting new artists, musicians and performers with their early steps in the industry, including their first band agreements, management contracts, recording deals, licensing and publishing agreements. Integrity Records releases, spanning various genres from punk to drum & bass via indie-folk and quirky pop, have been heard on BBC Radio 1, BBC 6 Music and BBC Radio 2, alongside XFM/Radio X, Q Radio, Amazing Radio and numerous regional stations in the UK and abroad. Many of their artists have played live sessions from the BBC Maida Vale studios for Steve Lamacq, Jo Whiley, Zane Lowe and more. Suitable for: unsigned and emerging artists, singer-songwriter, bands and musicians. Bookings: call the studio: 01392-495301 or email: marketing@sound-gallery.net Venue: Sound Gallery Studios, Exeter Phoenix, Gandy street, Exeter, EX4 3LS Costs:  £120 / 2 hr session for 1:1 sessions - £150 / 2 hr session for small groups 4-8 people

Course Overview The Adobe Illustrator Masterclass offers a comprehensive journey through the essential tools and features of this powerful design software. Learners will gain proficiency in using Illustrator for various creative projects, from graphic design to digital artwork. This course equips students with a clear understanding of key tools such as the Pen Tool, Selection Tools, and the Blend Tool, enabling them to create professional-level designs. Through the modules, learners will develop the ability to work with typography, drawing tools, and advanced colour manipulation, empowering them to elevate their creative skills. By the end of the course, students will be confident in applying their knowledge to industry-standard design tasks, whether for personal projects or professional use. Course Description This course delves into the full scope of Adobe Illustrator’s capabilities, providing learners with in-depth knowledge of both fundamental and advanced tools. Starting with a solid foundation in selection and drawing tools, the course moves on to cover more sophisticated techniques, such as using the Pen Tool, Typography Tools, and Gradient Tool. Learners will also explore the Symbolism Tools and Graph Tools to further enhance their design capabilities. Emphasis is placed on both efficiency and creativity, allowing learners to unlock the potential of Illustrator for creating sophisticated vector graphics, illustrations, and layout designs. Each module is designed to build a strong understanding of Illustrator’s functions and how they can be applied to real-world projects. Upon completion, learners will possess the technical expertise and creative confidence to execute complex design projects with Illustrator. Course Modules Module 01: Introduction Module 02: How To Use The Selection Tools Module 03: How To Use the Pen Tool and the Gang in Illustrator? Module 04: How To Use the Typography Tools in Illustrator Module 05: How To Use The Drawing Tools in Illustrator Pt 1 Module 06: How To Use The Drawing Tools in Illustrator Pt 2 Module 07: How to Use the Paintbrush Tools Module 08: How to Use the Pencil Tools Module 09: The Eraser Tools Module 10: The Rotate and Reflect Tools Module 11: The Liquify Tools Module 12: The Shape Builder and Live Paint Tools Module 13: The Perspective Grid Tool Module 14: How to Use the Gradient Tool Module 15: How To Use the Blend Tool Module 16: How To Use the Technical Tools Module 17: How To Use the Symbols and the Symbolism Tools Module 18: How To Use the Graph Tools Module 19: How To Use Slicing and the Slice Tools Module 20: How To Use the Color Tools and Drawing Modes Module 21: Summary (See full curriculum) Who is this course for? Individuals seeking to enhance their graphic design skills. Professionals aiming to improve their digital design portfolio. Beginners with an interest in graphic design or illustration. Anyone interested in mastering Adobe Illustrator for creative projects. Career Path Graphic Designer Illustrator Digital Artist Visual Designer Print Designer Web Designer Packaging Designer

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions