14230 AI courses in Cardiff delivered Online

Dip yourself in the dynamic world of Python programming with our Python for Beginners Online Course. Master Python's key concepts, its syntax, data types, and much more.

***24 Hour Limited Time Flash Sale*** IT Support Technical Skills Bootcamp Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter As digital transformation accelerates, demand for qualified IT support technicians surges in the UK. The IT industry is booming, with an expected growth of 12% by 2027, creating over 1 million new jobs. Do you have an interest in maintaining networks, securing systems, and providing technical support? This IT Support Technical Skills Bootcamp bundle delivers the well-rounded expertise today's IT teams need. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our IT Support Technical Skills Bootcamp bundle is a comprehensive programme that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in IT Support Technical Skills Bootcamp Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. 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Learning Outcomes of IT Support Technical Skills Diagnose and troubleshoot IT hardware and software issues. Implement network security best practices and manage risks. Gain industry-recognized CompTIA certifications. Develop web applications using popular frameworks and languages. Automate tasks with scripting and programming skills. Build a strong foundation for further specialization in IT. Enrol in IT Support Technical Skills Bootcamp today and take the first step towards achieving your goals and dreams. Why buy this IT Support Technical Skills Bootcamp? Get a Free CPD Accredited Certificate upon completion of the course Get a free student ID card with this training program The course is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Lifetime access to the course materials The training program comes with 24/7 tutor support Start your learning journey straightaway with our IT Support Technical Skills Bootcamp Training! IT Support Technical Skills Bootcamp premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of IT Support Technical Skills Bootcamp is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the IT Support Technical Skills Bootcamp course. After passing the course exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 480 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT Support Technical Skills Bootcamp course is ideal for: Students seeking mastery in IT Support Technical Skills Bootcamp Professionals seeking to enhance IT Support Technical Skills Bootcamp skills Individuals looking for an IT Support Technical Skills Bootcamp-related career. Requirements This IT Support Technical Skills Bootcamp doesn't require prior experience and is suitable for diverse learners. Career path This IT Support Technical Skills Bootcamp bundle will allow you to kickstart or take your career in the related sector to the next stage. IT Support Specialist Network Administrator Cloud Engineer Web Developer Security Analyst Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

>>Healthcare Assistant at QLS Level 5 with Free QLS Endorsed Certificate<< The NHS is the largest publicly funded healthcare system in the world. It employs more than 1.5 million people, making it one of the largest employers in the UK. If you're drawn to helping others and passionate about patient well-being, this Healthcare Assistant course is your perfect stepping stone. This Diploma in Healthcare Assistant at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! This Healthcare Assistant course is a customised training programme developed to meet the growing demand for skilled healthcare professionals in the UK. It includes modules on legal and ethical standards, maintaining medical records, ensuring confidentiality, upholding hygiene, infection control, patient mobility, and understanding the rights and responsibilities of healthcare workers. With the UK's healthcare industry showing no signs of slowing down, this Healthcare Assistant course is the gateway to a prosperous and rewarding professional life for individuals seeking to make a positive impact on the well-being of patients and communities. So, join us today and gear up for excellence! Learning Outcomes of this Course Navigate diverse healthcare settings as a confident Healthcare Assistant. Master legal and ethical frameworks to uphold professional standards as a Healthcare Assistant. Become a data champion, ensuring accurate medical records and confidentiality for Healthcare Assistant duties. Prioritise patient well-being through effective hygiene and infection control practices as a Healthcare Assistant. Empower patients with knowledge, understanding mobility issues and advocating for their rights Embrace technological advancements, exploring AI, data science, and their role in the future of the Healthcare Assistant profession. With the UK's healthcare industry showing no signs of slowing down, this course is the gateway to a prosperous and rewarding professional life for individuals seeking to make a positive impact on the well-being of patients and communities. Why Choose Our Course? FREE certificate endorsed by the Quality Licence Scheme Get a free student ID card with the course This is an affordable and simple-to-understand This is an entirely online, interactive lesson with voiceover audio Lifetime access to the course materials The comes with 24/7 tutor support So enrol now in this Healthcare Assistant Today to advance your career! Take a step toward a brighter future with our Healthcare Assistant course! *** Course Curriculum *** Here is the curriculum breakdown of the Healthcare Assistant at QLS Level 5 course: Working in Different Healthcare Settings Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1 Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 2 Maintaining Medical Records Confidentiality in a Medical Environment Health and Safety Responsibilities Hygiene in Nursing Infection Control Mobility and Immobility Issues of Patients in Nursing Rights and Responsibilities as a Health and Social Care Worker Role as A Caregiver and Healthcare Professional Providing Care or Treatment to People Who Lack Capacity Managing Service Delivery in Health and Social Care Medical Jargon and Terminology Effects of Covid-19 on Human Life Preventions and Social Measures to Be Taken Information Technology in Health Care Artificial Intelligence, Data Science and Technological Solutions against Covid-19 Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Healthcare Assistant at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Healthcare Assistant at QLS Level 5 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Requirements No prior background or expertise is required in this Healthcare Assistant course. Career path This Healthcare Assistant Training will allow you to kickstart or take your career to the next stage in the related sector such as: Healthcare Assistant Community Healthcare Assistant healthcare consultant Healthcare Trainer Medical assistant roles. Certificates CPDQS Accredited PDF Certificate Digital certificate - Included Diploma in Healthcare Assistant at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Healthcare Assistant at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

Unlock the secrets of successful recruitment with our 'Recruitment Consultant: Process and Strategies' course. Master the art of candidate assessment, build lasting client relationships, and stay ahead with cutting-edge recruitment strategies and technology. Navigate legal and ethical considerations, specialize in executive search, and explore global talent acquisition. Elevate your career in HR and staffing. Enroll now to become a proficient recruitment consultant and transform the way organizations connect with top-tier talent.

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

This course will show delegates how to appraise projects in Excel, incorporate and communicate updates as they happen and ultimately understand how to convert an opportunistic property investment into a core asset that can be sold on.

Overview This comprehensive course on Tic-Tac-Toe Clone - The Complete SFML C++ Game Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Tic-Tac-Toe Clone - The Complete SFML C++ Game Course comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Tic-Tac-Toe Clone - The Complete SFML C++ Game Course. It is available to all students, of all academic backgrounds. Requirements Our Tic-Tac-Toe Clone - The Complete SFML C++ Game Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 8 sections • 20 lectures • 03:27:00 total length •Introduction: 00:02:00 •Project Setup On Windows: 00:12:00 •Project Setup On Mac: 00:10:00 •State Machine: 00:08:00 •Asset Manager: 00:08:00 •Input Manager: 00:08:00 •Game Loop: 00:14:00 •Splash State/Screen: 00:19:00 •Main Menu State/Screen: 00:20:00 •Game Over State/Screen: 00:08:00 •Pause State/Screen: 00:14:00 •Game Over State/Screen: 00:08:00 •Grid Part 1 - Initialisation: 00:14:00 •Grid Part 2 - Placing A Piece: 00:12:00 •Check For Win Condition: 00:20:00 •AI: 00:21:00 •Show Game Over Screen: 00:05:00 •What to Do Next?: 00:04:00 •Resource: 00:00:00 •Assignment - Tic-Tac-Toe Clone - The Complete SFML C++ Game Course: 2 days

Unlock the keys to unparalleled customer service excellence with our 'Call Centre Training' course. Dive into the essentials of call center operations, hone communication skills, master telephone etiquettes, and learn effective negotiation techniques. Navigate challenging interactions, manage difficult customers, and grasp the intricacies of call center metrics and benchmarking. Stay ahead of the curve with insights into the latest technology trends shaping the industry. Elevate your career and contribute to organizational success by enrolling today. Develop the skills needed to excel as a call center professional and create lasting customer satisfaction.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Venture into the realm of digital advancements with 'Introduction to Digital and Emerging Technologies'. Transform your curiosity into insightful knowledge.