14921 AI courses in Cardiff delivered Online

[vc_row][vc_column][vc_column_text] Description With the constant evolution of digital technology, most businesses have become digitalised, including banking and the economic landscape. This Digital Banking Diploma Course is designed to help you familiarise with the digital banking system. You will learn how to utilise its new tools and technologies, whether you are pursuing a career in this industry, or want to expand your knowledge of financial technology in general. This digital banking course starts by helping you to adapt to new generation banking, focusing on online banking, mobile banking and direct banking. Throughout this course, you will expand your knowledge of e-Banking trends, practices, and digital banking strategies, with a complete overview of digital transformation. You will also explore the role social media plays in today's banking services and will learn how to utilise both to boost business.  Want to stay on top of the digital transformation? Enrol in this course today and make the most of e-Banking innovations! Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Digital Banking Diploma is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Digital Banking Diploma is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Story of Digital Banking -- An overview section Introduction 00:02:00 Moving from Traditional Banking to New-gen Banking Moving from Traditional Banking to New-gen Banking 00:08:00 Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept 00:07:00 Use of Social media in Banking and arrival of Fintech Firms Use of Social media in Banking and arrival of Fintech Firms 00:09:00 Innovative technologies IOT, AI, ML, Block-chain,, Big data etc Innovative technologies IOT, AI, ML, Blockchain,, Big data etc 00:10:00 Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank 00:11:00 Assessment Assignment - Digital Banking Diploma 00:00:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

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Why Choose Unity 3D Game Design Training Course? Course Link Unity transforms ideas into reality, offering limitless possibilities for 2D and 3D games, VR, AR, and AI experiences. From films to architecture, training videos, and interactive tutorials, Unity revolutionizes industries with its interactive engagement, making it the top choice for solutions. Duration: 10 hrs Method: 1-on-1, Personalized attention Schedule: Tailor your own hours of your choice, available from Mon to Sat between 9 am and 7 pm Is Unity Good for Beginners? Definitely! Unity is an ideal starting point for beginners in game development. It offers an accessible platform to learn state logic and C# programming, making it popular among new programmers. Whether you choose self-guided or structured learning, Unity provides a strong foundation for 3D game development. Coding in Unity? Coding is optional in Unity, thanks to the visual scripting tool, Bolt. Users can implement ideas without coding using flow graphs and state graphs for low-level and high-level logic. Paid tools like PlayMaker and Adventure Creator offer more advanced gameplay and AI behaviors. How Does Unity's Game Engine Work? Unity operates as a versatile scene player, initializing settings for graphics, audio, and input devices at game start. It loads scenes with assets and game objects, executing a cycle that renders scenes, runs physics simulations, and handles events, providing a seamless and dynamic game experience. Is Unity Good for Beginners? Definitely! Unity is an ideal starting point for beginners in game development. It offers an accessible platform to learn state logic and C# programming, making it popular among new programmers. Whether you choose self-guided or structured learning, Unity provides a strong foundation for 3D game development. 10-hour Unity 3D Game Design Training Course: Module 1: Introduction to Unity 3D (2 hours) - What is Unity 3D and why use it for game design? - Understanding the Unity 3D interface - Creating and managing projects in Unity 3D - Importing and managing assets in Unity 3D - Understanding game objects and components in Unity 3D Module 2: Game Mechanics (2 hours) - Basic game mechanics and concepts - Player movement and camera control - Creating and controlling game objects - Working with physics and collision detection - Creating interactive environments Module 3: Scripting with C# (2 hours) - Introduction to C# scripting language - Understanding variables and data types in C# - Creating and using functions in C# - Controlling game objects with C# - Understanding game loops and events Module 4: User Interfaces and Audio (2 hours) - Designing user interfaces in Unity 3D - Creating and using buttons, sliders, and input fields - Audio import and editing in Unity 3D - Creating and controlling game sound effects and background music Module 5: Optimization and Deployment (2 hours) - Understanding game optimization in Unity 3D - Optimizing game performance with scripting - Building and testing games for desktop and mobile platforms - Publishing games on the web or app stores Introduction to Unity: - Introduction to gaming and the game development process - Unity Basics - Interface - Inspector - Project and Hierarchy Starting Making a Game: - Working with Projects - Creating Projects - Importing Geometry - Importing Textures - Using the terrain generator to make the terrain - Creating basic primitives in Unity Materials: - Working with materials 1 - Working with materials 2 - Finishing materials on all objects Lighting: - Creating lights - Adjusting Lights - Creating Sunlight Animation: - Animating objects - Animating lights - Adjusting Animations Audio: - Adding Sound - Interacting with sound - Modifying sound Programming Tools: - JavaScript - Editor for JavaScript - Variables and functions - Simple programming Testing: - Testing the game - Fixing bugs - Making changes in games Building the Game: - Game authoring Settings - Building the game for windows - Playing the game Utilize Unity Pro, the ultimate real-time development platform, to craft 3D, 2D, VR, and AR experiences across diverse industries. From games to auto, AEC, and film, Unity Pro empowers you to create immersive content with multi-platform support. Visit https://www.unity.com/ to kickstart your journey today, enabling faster iterations and business growth through unparalleled development capabilities.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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.

This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.

Explore the various concepts and innovative technologies that convert the traditional banking system to digital banking system. Enrol the Digital Banking for Beginners course and learn more about the digitalization process. The course presents the latest news about world banking by illustrating the example from nine countries. You will understand the difference between traditional banking and new generation banking. The course also explains the reasons behind the transformation of traditional banking to digital banking. The necessity of embracing the digital banking system will be discussed in the course. The concepts and new innovations in banking, and the examples of web-based platforms such as the Proliferation of Internet Banking, Mobile Banking and 'Direct Banking' concept will also be thoroughly explained in the course. Additionally, the course teaches about innovative technologies such as artificial intelligence, Internet of Things (IOT), Machine Learning, Block-chain, Big Data and more. By the end of the course, you will learn the essential front-end and back-end projects that make an organization digital. What Will I Learn? It just takes 60 minutes or less of your time, to transform you in absorbing the new generation banking knowledge at a base level. As this is shared by a banking Industry veteran, it covers entire banking digital life-journey from front-end to back-end till 2018. Therefore it should generate enough confidence in you, of becoming aware of actual happenings in digital banking world. However, it is important to know that this knowledge is at a base level. But its a great start for your life, as you shall start speaking more confidently on banking innovations and digital banking than ever before . This course helps participant to seek awareness level understanding of Digital Banking in contemporary era both from fancy innovative names and also projects close to CIO's heart such as Back-end Modernization. This course gives practical view of what projects are done in front end as well as Back end to make organization digital. Requirements There is no specific banking knowledge needed to attend this course. Who is the target audience? Any Aspiring interview candidate who is looking for a new job in banking sector, Any undergraduate, graduate or post-graduate student, any employee of a bank, employee in IT companies working BFS sector, anyone working on banking transaction for his organization or simply people who are interested to learn digital banking. Any school students who would like to take projects or have interest in studying new-generation Banking can also take this course too. Story of Digital Banking -- An overview section Introduction FREE 00:02:00 Moving from Traditional Banking to New-gen Banking Moving from Traditional Banking to New-gen Banking 00:08:00 Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept 00:07:00 Use of Social media in Banking and arrival of Fintech Firms Use of Social media in Banking and arrival of Fintech Firms 00:09:00 Innovative technologies IOT, AI, ML, Block-chain,, Big data etc Innovative technologies IOT, AI, ML, Blockchain,, Big data etc 00:10:00 Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank 00:11:00 Course Certification

Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives

Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives

Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples