13105 AI courses in Cardiff delivered On Demand

This course provides basic introductory guidance to FinTech. You will be using an easy programming language R to learn some basic statistics in money management. You will also understand how to time the stock market and build tradeable factor-based algorithms from scratch. This course provides some of the most basic rules of thumb and intuition that every successful trader should know.

Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning

Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning

Prepare for success with the Microsoft PL-900 Certification Course, covering the fundamentals of Power Platform, including Power BI, Power Apps, Power Automate, Power Virtual Agents, and related topics such as Dataverse, AI Builder, Connectors, Dynamics 365, Teams, Security, and Administration. Suitable for beginners with no prerequisites.

This course will teach you how to link ChatGPT's API directly into your applications and solutions. Learn to integrate the API into Power Apps. Build any business application you want using Power Apps, which can now incorporate ChatGPT. Extend ChatGPT to any platform, including React, Webflow, Zapier, Excel, and so on.

Course Overview Make the most of the plotting and AI capabilities of the world's benchmark programming language by taking this course to create Spatial Data Visualisation and Machine Learning in Python Level 4. Using the intuitive syntax available to you, you will be amazed at the results you can achieve with the power of its libraries and mapping potential for all manner of complex projects. This comprehensive Python tutorial is an excellent way to learn the important and potentially ground-breaking aspects of machine learning. With the benefit of expert guidance and step-by-step training, IT technology, you will be taken from quick installations to complex coding. You will learn how to become proficient with coding capabilities that will put you at the forefront of advanced programming techniques and the aptitude to envisage AI projects that will impress and be used for practical and useful purposes.  This best selling Spatial Data Visualization and Machine Learning in Python Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Spatial Data Visualization and Machine Learning in Python Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Spatial Data Visualization and Machine Learning in Python Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Spatial Data Visualization and Machine Learning in Python Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Spatial Data Visualization and Machine Learning in Python Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Spatial Data Visualization and Machine Learning in Python Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Spatial Data Visualization and Machine Learning in Python Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Overview This comprehensive course on 3D Humanoid Characters in Unity will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This 3D Humanoid Characters in Unity 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 3D Humanoid Characters in Unity. It is available to all students, of all academic backgrounds. Requirements Our 3D Humanoid Characters in Unity 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 15 sections • 74 lectures • 06:21:00 total length •Welcome: 00:01:00 •Using Autodesk's Character Generator: 00:09:00 •Creating characters with Adobe Fuse: 00:08:00 •Auto-rigging with Adobe Mixamo: 00:03:00 •Applying animation to rigged characters in Mixamo: 00:03:00 •Importing an Autodesk character into Adobe Mixamo: 00:02:00 •Selecting and animating a fantasy character within Mixamo: 00:04:00 •Exploring commercial rigged and animated characters: 00:03:00 •Using Unity Hub to install the Unity Editor: 00:06:00 •Configuring Unity's user interface: 00:04:00 •Importing and setting up an architectural model: 00:07:00 •Importing selected standard assets: 00:05:00 •Rendering lightmap data for static objects: 00:05:00 •Configuring packages: 00:03:00 •Creating Cinemachine virtual cameras: 00:08:00 •Importing a character into Unity: 00:06:00 •Combining texture maps in Photoshop: 00:09:00 •Shaders and render modes for eyes and eyelashes: 00:05:00 •Configuring hair material and texture maps: 00:05:00 •Combining textures with alpha channel using Gimp: 00:05:00 •Exploring an avatar's bones and muscles: 00:05:00 •Referencing a controller in the animator component: 00:07:00 •Controlling the character with scripts and components: 00:07:00 •Altering code to make the character walk by default: 00:06:00 •Altering the script to walk and not run diagonally: 00:05:00 •Set up Cinemachine FreeLook camera: 00:03:00 •Fine-tune free look rigs: 00:07:00 •Replacing animations in controller: 00:07:00 •Integrating a death animation into controller: 00:07:00 •Scripting death by falling: 00:05:00 •Walking upstairs using colliders from hidden ramps: 00:05:00 •Bringing in a new character: 00:04:00 •Designing a third person player game object: 00:06:00 •Connecting FreeLook camera to third person player: 00:03:00 •Swapping out characters within the third person player: 00:03:00 •Using legacy characters: 00:06:00 •Using high quality commercial characters: 00:07:00 •Making character prefabs and overrides: 00:06:00 •Using the Cinemachine collider extension: 00:06:00 •Setting up post-processing and anti-aliasing: 00:04:00 •Configuring post-processing effects: 00:06:00 •Commercial animated stationary characters: 00:08:00 •Custom animated stationary characters: 00:06:00 •Providing seating for an animated character: 00:04:00 •Cropping an animation on humanoid rig: 00:06:00 •Bring in a new character to be driven by Ai: 00:04:00 •Configuring components on Ai character: 00:04:00 •Building and refining the nav mesh: 00:05:00 •Getting agents to climb stairs: 00:03:00 •Creating off-mesh links: 00:03:00 •Making nav mesh obstacles: 00:06:00 •Implementing high-cost areas for the Ai: 00:06:00 •Abstracting NPC for use with other skins & avatars: 00:06:00 •Outlining the goal of the game: 00:03:00 •Getting the NPC to chase the Player: 00:03:00 •Getting a hold of the Player's Animator through code: 00:08:00 •Logging NPC's collision with Player to console: 00:06:00 •Stopping the NPC and killing the Player: 00:07:00 •Offsetting the death animation: 00:03:00 •Allowing NPC to take leap with off-mesh link: 00:07:00 •Adding user interface with canvases and buttons: 00:09:00 •Toggling defeat canvas on when NPC collides with Player: 00:04:00 •Differentiating between victory and defeat in code: 00:09:00 •Refining the NavMesh for fluid Ai movement: 00:03:00 •Building a GameManager class and game object: 00:08:00 •Connecting Restart buttons to setting bool Property true: 00:05:00 •Connecting controller and testing in game: 00:01:00 •Mapping the Fire2 axis to run: 00:07:00 •Mapping the Fire1 axis to crouch: 00:05:00 •Mapping analogue stick to Cinemachine FreeLook camera: 00:05:00 •Fine tuning how analog game stick controls camera: 00:05:00 •Building and playing standalone game: 00:05:00 •Bonus: 00:01:00 •Assignment - 3D Humanoid Characters in Unity: 00:00:00

Embark on a journey of creative mastery and dive into the extraordinary world of Midjourney. Transform your passion into a thriving designing career as you unleash the power of innovative art. Unlock creativity, save time, and create personalized designs tailored to specific elements or themes.

Description Interior Design Diploma Discover the world of interior design with the comprehensive online Interior Design Diploma. This dynamic course invites students from all walks of life, whether one is looking to launch a new career or simply foster a personal passion. The course begins with an introduction to interior design, where students gain a foundational knowledge of the art, the science, and the critical concepts that form the backbone of the industry. From understanding colour palettes to identifying various design styles, the course paves the way for learners to master the nuances of the field. Moving on, the course guides students through the intricacies of designing specific areas within a property. Delving into entrances and circulation spaces, it educates participants about the importance of first impressions and efficient movement. There's a fine art to crafting spaces that are both welcoming and functional, and this segment ensures students grasp those essentials. The section on social and leisure spaces highlights how to create comfortable and engaging areas suitable for relaxation and entertainment. Here, students learn to strike a balance between aesthetics and functionality. Kitchens have always been considered the heart of a home. In the course, this vital room is addressed with special emphasis. From the arrangement of cabinets to the choice of lighting, every facet of kitchen design is explored to help learners create spaces that are both beautiful and practical. Bedrooms, often seen as personal sanctuaries, are also discussed. The course offers insights into crafting bedrooms that cater to relaxation, personal expression, and functionality. It also addresses the ever-evolving demands of modern-day living, ensuring spaces are adaptable and comfortable. The module on bathrooms transforms this often-overlooked space into a haven of luxury and functionality. It unveils the secrets to selecting the right fixtures, materials, and lighting to make a bathroom both a personal spa and a functional space. Utility and workspaces, on the other hand, place a spotlight on efficiency. Students will grasp the principles behind designing spaces that cater to productivity, be it a home office or a laundry room, ensuring these areas are both practical and inspiring. Light plays a pivotal role in interior design. The Interior Design Diploma delves deep into this topic, teaching students the impact of natural and artificial lighting on spaces and how to use it effectively to enhance a room's ambience. With the world leaning more towards sustainable living, the course doesn't miss out on resources and sustainability. It instils in students the importance of eco-friendly design choices and sustainable practices, ensuring that their designs are not only beautiful but also environmentally conscious. Finally, as technology rapidly evolves, the course concludes with AI and innovations in interior designing. Here, the learners are introduced to the latest trends and technologies shaping the future of interior design, ensuring they are well-equipped to stay ahead in this dynamic industry. To summarise, the online Interior Design Diploma offers a comprehensive guide to the world of interior design. From foundational concepts to specific room designs, and from traditional practices to innovative technologies, this course promises a holistic learning experience for all budding interior designers. Enrol today and embark on a journey to transform spaces and lives. What you will learn 1:Introduction to Interior Design 2:Entrances and Circulation Spaces 3:Social and Leisure Spaces 4:Kitchens 5:Bedrooms 6:Bathrooms 7:Utility and Work Spaces 8:Light 9:Resources and Sustainability 10:AI and Innovations in Interior Designing Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

This course is designed for beginners, although we will go deep gradually, and is a highly focused course designed to master your Python skills in probability and statistics, which covers the major part of machine learning or data science-related career opportunities.