2196 Courses in Cardiff delivered Live Online

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 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 2 Days 12 CPD hours This course is intended for Report authors working with dimensional data sources. Through interactive demonstrations & exercises, participants will learn how to author reports that navigate & manipulate dimensional data structures using the specific dimensional functions & features available in IBM Cognos Analytics. Introduction to Dimensional Concepts Identify different data sources and models Investigate the OLAP dimensional structure Identify dimensional data items and expressions Differentiate the IBM Cognos Analytics query language from SQL and MDX Differentiate relational and dimensional report authoring styles Introduction to Dimensional Data in Reports Work with members Identify sets and tuples in IBM Cognos Analytics Dimensional Report Context Understand the purpose of report context Understand how data is affected by default and root members Focus Your Dimensional Data Compare dimensional queries to relational queries Explain the importance of filtering dimensional queries Evaluate different filtering techniques Filter based on dimensions and members Filter based on measure values Filter using a slicer Calculations & Dimensional Functions Use IBM Cognos Analytics dimensional functions to create sets and tuples Perform arithmetic operations in OLAP queries Identify coercion errors and rules Functions for Navigating Dimesional Hierarchies Navigate dimensional data using family functions Relative Functions Navigate dimensional data using relative functions Navigate dimensional data using relative time functions Advanced Drilling Techniques & Member Sets Understand default drill-up and drill-down functionality Identify cases when you need to override default drilling behavior Configure advanced drilling behavior to support sophisticated use cases Define member sets to support advanced drilling Define member sets to support functions Set Up Drill-Through Reports Navigate from a specific report to a target report Drill down to greater detail and then navigate to target report Navigate between reports created using different data sources End-to-End Workshop Review concepts covered throughout the course

Duration 1 Days 6 CPD hours This course is intended for This course is intended for those who want to understand and use soft skills to communicate, problem solve, and resolve conflict. Overview Upon successful completion of this course, participants will use soft skills to more effectively interact with people and improve communication skills. In this course, participants will develop a core set of ten soft skills. Getting Started Workshop Objectives Action Plan What are Soft Skills? Definition of Soft Skills Empathy and the Emotional Intelligence Quotient Professionalism Learned vs. Inborn Traits Practical Illustration Communication Ways We Communicate Improving Nonverbal Communication Listening Openness and Honesty Practical Illustration Team Work Identifying Capabilities Get Into Your Role Learn the Whole Process The Power of Flow Practical Illustration Problem Solving Define the Problem Generate Alternative Solutions Evaluate the Plans Implementation and Re-Evaluation Practical Illustration Time Management The Art of Scheduling Prioritizing Managing Distractions The Multitasking Myth Practical Illustration Attitude and Work Ethic What Are You Working For? Caring for Others vs Caring for Self Building Trust Work Is Its Own Reward Practical Illustration Adaptibility/Flexibility Getting Over the Good Old Days Syndrome Changing to Manage Process Changing to Manage People Showing You?re Worth Your Weight in Adaptability Practical Illustration Self Confidence (Owning It) Confident Traits Self-Questionnaire Sure-fire Self-Confidence Building Tactics Build Up Others Practical Illustration Ability to Learn Wow, You Mean I?m Not Perfect? Listen with an Open Mind Analyze and Learn Clear the Air and Don?t Hold Any Grudges Practical Illustration Networking Redefine Need Identifying Others? Interests Reach Out When to Back Off Practical Illustration Wrapping Up Words From the Wise

Duration 1 Days 6 CPD hours This course is intended for This course is intended for hiring managers who want to save company time and money recruiting and hiring the right candidates. Overview Upon successful completion of this course, participants will know how to present an open position, develop a workable hiring strategy, know how to find and select candidates for open positions. In this course, participants will gain skills and tools to help seek out great candidates that are a fit for your company. Learn to find the diamond in the rough. Getting Started Workshop Objectives Action Plan Defining and Knowing the Position Know the Position Needs Analysis Job Analysis Task Analysis Practical Illustration Hiring Strategy Company Information Salary Range Top Performers Be Prepared Practical Illustration Lure in Great Candidates Advertise Where Candidates Visit Develop Corporate Citizenship Treat Your Candidates Well Look at the Competition Practical Illustration Filtering Applicants to Interview Put Lots of Weight on Cover Letters Grading Resumes Internet Search Initial Phone Interview Practical Illustration The Interview (1) Introduce Everyone Use a Panel Match the Interview to the Job Types of Questions Practical Illustration The Interview (2) Tell Me About My Company Distractions Interview More Than Once Wrap Up Practical Illustration Selection Process (1) Testing Look for Passion and Enthusiasm Background Checks Trust Your Instincts Practical Illustration Selection Process (2) Education Level vs. Experience Have a Consensus Keep Non-Hires on File Checking References Practical Illustration Making an Offer Do it Quickly Employment Details Notify Rejected Candidates Be Creative Practical Illustration Onboarding Training and Orientation Mentoring 30-60-90 Day Reviews Make Them Feel Welcome Practical Illustration Wrapping Up Words From the Wise

This workshop-based bite-size will provide space to explore some practical tools and ideas on how to be more resilient when faced with challenging and tough situations. There is an opportunity to do a self assessment and bring it to the day as a means to identify areas to work on and begin to master skills that will enhance resilient thinking. There will be time to explore what resilience is and understand the range of practical tools and techniques available that can be used beyond the workshop itself. By the end of the workshop participants will be able to: Discuss and evaluate their personal strengths and areas for development in being more resilient at work Understand what resilience involves and how to identify and challenge their own beliefs that undermine resilience Understand the four aspects of resilience - confidence, adaptability, building support and maintaining a clear perspective Understand how to use resiliency tools to help to cope better with the challenge of change Review and evaluate their learning and have an action plan to take back and implement in the workplace 1 Welcome, introductions and objectives Breaking the ice 2 Identifying current challenges in relation to work How we handle these challenges 3 Defining resilience and how and why it helps our personal effectiveness and thinking 4 Resilience skills and how to develop them 5 Learning a resilience tool that promotes new ways of thinking / working 6 Review and evaluation of learning Action planning

Learn strategies to manage emotions to effectively mitigate negative emotional states that affect us beyond measure during Life Change and Transitions with believe-IN!

Course Overview This course on "Capital Budgeting & Investment Decision Rules" provides a comprehensive foundation in the key concepts and techniques used in evaluating long-term investments. Covering fundamental methods such as Net Present Value (NPV), Payback Period, and Internal Rate of Return (IRR), the course explores how businesses make critical decisions on capital allocation. Learners will gain a deep understanding of the tools used to assess the financial viability of projects, ensuring they can apply these methods in real-world situations. This course is designed to equip professionals with the knowledge to evaluate investment opportunities effectively and contribute to strategic decision-making. Course Description The "Capital Budgeting & Investment Decision Rules" course delves into essential financial decision-making techniques used by organisations to evaluate potential investments. Topics include the NPV method, Payback Period, IRR, and how to assess projects with varying timelines. Learners will explore the advantages and limitations of each method and understand their applications in different business contexts. The course also covers the evaluation of projects with different durations and how to select the best investment strategies to achieve organisational goals. Through this learning experience, participants will acquire the analytical skills necessary to make informed capital budgeting decisions, ultimately strengthening their financial decision-making acumen. Course Modules Module 01: Introduction Module 02: NPV Method Module 03: Payback Period Method Module 04: Internal Rate of Return (IRR) Module 05: Evaluating Projects in Different Lives Module 06: Conclusion (See full curriculum) Who is this course for? Individuals seeking to understand capital budgeting methods. Professionals aiming to enhance their financial analysis skills. Beginners with an interest in finance and investment decision-making. Anyone looking to develop their knowledge in investment evaluation techniques. Career Path Financial Analyst Investment Analyst Corporate Finance Professional Project Manager Risk Manager Business Consultant

Course Overview The Canine First Aid and CPR Course provides essential knowledge and skills to respond to emergencies involving dogs. It covers a range of critical topics, including first aid, CPR, and basic health assessments. This course is designed to empower learners with the confidence to act decisively in a variety of canine emergency situations, enhancing the safety and well-being of pets. Upon completion, learners will gain the ability to handle common canine injuries and medical emergencies, ensuring pets receive the care they need in times of distress. Course Description This course dives deep into key areas of canine health and emergency response. Learners will explore pet first aid, including injury management and common health issues, along with essential CPR techniques for dogs. The course also covers important aspects of pet business practices, giving those interested in the pet care industry a well-rounded understanding. With an engaging and thorough curriculum, learners will develop the skills required to provide immediate assistance to dogs in need, preparing them for any situation that may arise. The course is designed for all levels of learners, from beginners to professionals seeking to expand their knowledge in pet care. Course Modules: Module 01: Pet First Aid Key first aid procedures for dogs Identifying and treating common injuries Basic wound care and infection prevention Module 02: Pet CPR Techniques for canine CPR Recognising signs of cardiac arrest in dogs Step-by-step guide to performing CPR Module 03: Pet Business Essential business practices for pet care professionals Overview of pet care industry trends Marketing and client management for pet businesses (See full curriculum) Who is this course for? Individuals seeking to improve their dog care knowledge. Professionals aiming to expand their skill set in the pet care industry. Beginners with an interest in pet health and emergency care. Pet owners looking to become more confident in handling canine emergencies. Career Path Pet Care Professional Canine Health Advisor Dog Trainer or Behaviourist Veterinary Assistant Pet Business Owner

Course Overview The Food Safety and Hygiene Level 2 course is designed to equip learners with a strong understanding of the key principles underpinning food hygiene and safety in the UK. Covering essential topics such as microbiological hazards, legislation, allergen control, and hygiene practices, this course prepares learners to contribute effectively to safe food handling environments. Whether you're working in catering, hospitality, retail, or food production, the knowledge gained through this course helps ensure food is handled in compliance with UK standards. By the end of the course, learners will be confident in identifying hazards, understanding legal responsibilities, and maintaining hygienic practices within food premises. It also includes timely guidance for adapting food businesses during COVID-19, supporting learners in meeting current industry expectations. Course Description This CPD-accredited course explores the foundations of food safety and hygiene, including a detailed look into food legislation, storage, preparation, and cleaning protocols. Learners will gain insights into the causes of foodborne illnesses, methods to prevent cross-contamination, and best practices for managing allergenic, chemical, and physical hazards. The course also highlights the importance of personal hygiene, structural cleanliness, and effective waste control within food premises. A dedicated module addresses how food businesses can operate safely during and after the COVID-19 pandemic. Designed to support learners in understanding their responsibilities under food law, this course promotes awareness and compliance in diverse food-handling settings, from small catering units to large-scale food operations. Course Modules Module 01: Food Safety Legislation Module 02: Microbiological Hazards Module 03: Physical, Chemical and Allergenic Hazards Module 04: Food Storage Module 05: Food Preparation Module 06: Personal Hygiene Module 07: Food Premises Design and Cleaning Schedules Module 08: Further Information Module 09: Reopening and Adapting Your Food Business During COVID-19 (See full curriculum) Who is this course for? Individuals seeking to meet UK food safety training requirements. Professionals aiming to develop their food safety knowledge for supervisory or compliance roles. Beginners with an interest in food hygiene and regulatory standards. Business owners and managers in catering, hospitality, or food production. Career Path Food Safety Officer Catering Assistant Kitchen Supervisor Restaurant or Café Manager Food Retail Worker Compliance Assistant in Food Manufacturing