1531 Courses in Cardiff delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for A Dynamics 365 Business Central core Functional Consultant is responsible for implementing core application setup processes for small and medium businesses. Overview Understand use cases for Business Central modules Set up Business Central Configure Financials Configure Sales and Purchasing Configure Operations Understand Integrationa nd Automation scenarios Built and optimized for small and medium businesses, Dynamics 365 Business Central is an application for companies that have outgrown their entry-level business applications. Growing businesses often outgrow their basic accounting software or legacy enterprise resource planning (ERP) systems that are unable to handle increased inventory and transactions, lack integration with other line-of-business systems, and have reporting limitations. Businesses are also challenged with the logistics of providing services that have more scalability, increased mobility, and availability in the cloud. With Business Central, you can manage your financials, automate and secure your supply chain, sell smarter, improve customer service and project performance, and optimize your operations. Introduction to Business Central Modules Introduction to Business Central Technology overview Navigate the user interface Master data for the Sales and Purchase process Application Setup Create and configure a new company Migrate data to Business Central Manage Security Set up core app functionality Set up dimensions Configure Financials Set up Finance Management Set up the Chart of Accounts Set up posting groups General Journals Set up Cash Management Set up Accounts Payables Set up Accounts Receivables Configure Sales and Purchasing Set up Inventory Configure prices and discounts Operations Purchase items Sell items Process financial transactions Inventory costing Integration and Automation Set up and use approvals with workflows Connect Power Apps Connect Power Automate Connect Power BI

PHP and MySQL Training Masterclass 2023 Course Overview This PHP and MySQL Training Masterclass 2023 offers a comprehensive guide to mastering dynamic web development using PHP and MySQL. Learners will explore essential programming concepts, database integration, and application building through progressive projects designed to enhance their coding capabilities. The course covers core skills such as user authentication, comment systems, ratings, and interactive applications, equipping students with the confidence to develop fully functional web solutions. By the end, participants will have the knowledge to build, customise, and manage robust web applications, boosting their employability and technical proficiency in today’s digital marketplace. Course Description This masterclass delves into key aspects of PHP programming and MySQL database management, providing learners with a structured learning experience. Starting with installation and configuration, it progresses through multiple project-based modules focusing on real-world applications such as authentication systems, comment and rating features, weather apps, and live search functionality. Each module deepens understanding of server-side scripting and database queries, enhancing problem-solving and coding fluency. Participants will gain expertise in integrating PHP scripts with MySQL databases, optimising application performance, and managing data securely. The course is designed to develop both foundational and advanced skills essential for web development careers, delivered in clear, concise UK English. PHP and MySQL Training Masterclass 2023 Curriculum Module 01: Introduction Module 02: Installation Module 03: First Project: Building an Authentication System Module 04: Second Project: Building a Comments System Module 05: Third Project: Creating a Rating System Module 06: Fourth Project: Creating a Weather App Module 07: Fifth Project: Build a Cool Like and Dislike System Module 08: Sixth Project: Building a Simple CV Builder Module 09: Seventh Project: QR Codes Generator Module 10: Eighth Project: Build a Full Live Search System (See full curriculum) Who Is This Course For? Individuals seeking to develop skills in dynamic web development. Professionals aiming to enhance their web programming career. Beginners with an interest in server-side scripting and databases. Web developers wanting to expand their expertise in PHP and MySQL. Career Path Web Developer Backend Developer PHP Developer Database Administrator Full-Stack Developer Software Engineer Digital Solutions Specialist

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. 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 Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

Duration 1 Days 6 CPD hours This course is intended for In this course, students will learn how to establish routines, set goals, create an efficient environment, and use time-honored planning and organizational tools to use their time more effectively. Overview Upon successful completion of this course, students will take ownership of their time management in order to achieve their goals and lead a more productive life. In this course, students will learn how to establish routines, set goals, create an efficient environment, and use time-honored planning and organizational tools to use their time more effectively. Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives Setting SMART Goals The Three P's The SMART Way Prioritizing Your Goals Evaluating and Adapting The Power of Routines What is a Routine? Personal Routines Professional Routines Six Easy Ways to Simplify Your Life Scheduling Yourself The Simple Secret of Successful Time Management Developing a Tracking System Scheduling Appointments Scheduling Tasks Keeping Yourself on Top of Tasks The One-Minute Rule The Five-Minute Rule What To Do When You Feel Like You're Sinking Tackling New Tasks and Projects Why We Procrastinate Nine Ways to Overcome Procrastination Eat That Frog! Using Project Management Techniques The Triple Constraint Creating the Schedule Using a RACI Chart Creating a Workspace Setting Up the Physical Layout Ergonomics 101 Using Your Computer Efficiently Organizing Files and Folders Organizing Paper Files Organizing Electronic Files Scheduling Archive and Clean-Up Managing E-Mail Using E-mail Time Wisely Taking Action! Making the Most of Your E-mail Program Taking Time Back from Handheld Devices Tackling Procrastination Why We Procrastinate Nine Ways to Overcome Procrastination Eat That Frog Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts 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. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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 1 Days 6 CPD hours This course is intended for Anyone who wants to learn how to create movies - from a home movie to professional looking films using iMovie. This one-day hands-on course will teach the participant the full functionality of iMovie. The course will begin with how to import video and photographs into iMovie; how to review and organize the footage; how to shape a story using the editing and trimming tools; how to add music and sound and other video effects and overlays. Lastly, the class will explore sharing your completed movies with your Mac computer, YouTube and other streaming outlets. Introduction to iMovie Adding Media from Photo Library Other Ways to Import Media From iPad, iPhone, or iPod Touch Record Video Directly into iMovie Importing Media from Mac Playing or Skimming Video Sorting and Searching for Clips Marking Clips as Favorite or Rejected Creating Movies Creating a New Movie Viewing and Managing Projects Setting Movie Themes Selecting Clips Adding and Trimming Clips Moving and Splitting Clips Adding and Modifying Transitions Adding and Editing Titles Adding Music and Sound Clips Working with Trailers (If required) Creating Trailer Adding Video Adding Titles and Credits Converting Trailer to Movie Adding Video Effects Enhancing Clip Adjusting Clip?s Order Cropping and Rotating Clips Stabilizing Shaky Clips Adding Video Effects Adding Freeze Frame Creating Effects with Multiple Clips Slow Down and Speed Up Clips Adding Instant Replay or Rewind Effect Copy Effects and Adjustments Sharing Video Clips and Projects Email Movie, Trailer, and Clip Exporting Quick Time File Exporting an Image Share Online Customizing iMovie iMovie Preferences Customizing Project Settings Changing iMovie Window Layout Changing How Clips are Displayed Organizing Media Organizing Media and Events Working with Multiple Libraries Consolidating Projects and Events Keyboard Shortcuts and Gestures Overview of Keyboard Shortcuts Keyboard Shortcuts Multi-Touch Gestures Force Touch Trackpad Gestures

SAP Training: Overview What is SAP? SAP is one of the largest ERP(Enterprise Resource Planning) software in the world. It provides end to end solution for Financials, Manufacturing, Logistics, Distributions etc. SAP applications, built around their latest R/3 system, provide the capability to manage financial, asset, and cost accounting, production operations and materials, personnel, plants, and archived documents. The R/3 system runs on a number of platforms including Windows and MAC and uses the client/server model. SAP Business Cases/ Live Project Our SAP training courses are designed in a way which gives the students maximum exposure of real-life scenario through no of business cases and guidance on implementation by professional SAP Consultants. You receive a certificate once you finish the course from Osborne Training. SAP Certification During the training, you get access to Sap sandbox which continues even after training finishes until the completion of the Internship. You can also do an external exam to receive certification from SAP (Optional), for details on exam booking you may visit the SAP website. SAP Training Modules Available Financial & Controlling (FICO) High-Performance Analytic Appliance (HANA) Supply Relationship Management (SRM) Customer Relationship Management (CRM)

Duration 4 Days 24 CPD hours This course is intended for Application Consultant Data Consultant / Manager Developer Consultant Technology Consultant Program / Project Manager Business Analyst Developer User Business Process Owner / Team Lead / Power User Overview This course will prepare you to: Outline SAP Transportation Management business processes Identify and examine the SAP TM building blocks necessary for processing shipments of goods. Engage in Transportation network maintenance, order/requirements integration and management, transportation planning, shipment execution, and freight invoicing and settlement. Use both the SAP ERP and SAP TM systems using the NetWeaver Business Client interface This course will help you to prepare for the blueprinting stage of your SAP Transportation Management implementation or enable you to use the system in your role as a business user. You will gain an overview of the key business transactions and system capabilities to enable you to design the processes you will use within your own organization. You will learn how SAP TM can help you to support Order Management, Transportation Planning, Subcontracting, Execution, Charge Calculation and Settlement. This course is the mandatory foundational prerequisite for all follow-on SAP TM training courses. SAP Transportation Management (SAP TM) Evaluating SAP Transportation Management Evaluating the SAP TM System Landscape SAP TM User Interface Identifying NetWeaver Business Client Components Personalizing Object Worklists Transportation Management Master Data Identifying Master Data Requirements for SAP TM Evaluating the Organizational Structures Used in SAP TM Defining Conditions Determining Freight Incompatibilities Determining Dangerous Goods Shipping Requirements Transportation Order Management Triggering the Transportation Management Process Integrating SAP ERP with SAP TM Managing the Freight Forwarding Process Booking Capacities Transportation Planning Defining the Transportation Planning Process Viewing Freight Units Building Packages Defining Selection Profiles Determining Planning Profiles Accessing the Transportation Cockpit Creating Transportation Proposals Creating Freight Orders Optimizing Loads Transportation Execution Performing Carrier Selection Tendering Freight Orders Triggering Delivery Creation from SAP TM Executing Transportation in SAP ERP Integration between SAP TM and SAP EWM Generating Outputs Monitoring Transportation Events Exporting Freight Orders Analyzing Transportation Management Performance Charge Calculation and Freight Settlement Managing Charge Calculation Master Data Calculating Supplier Charges in Freight Orders Settling Supplier Freight Charges Calculating and Settling Customer Charges in Forwarding Orders Distributing Costs Settling Freight Charges in Group Logistics Companies Managing Freight Contracts

Designed for professional B2B salespeople to develop a modern approach to winning business

Designed for professional B2B salespeople to develop a modern approach to winning business