15217 AI courses in Belfast delivered Online

This qualification aims to provide expert guidance to learners wishing to gain knowledge and understanding on Electric Vehicle charging equipment installation. This 2 day course provides expert guidance on EV charging equipment installation, an important emerging area which is not covered in detail by the current edition of the Wiring Regulations (BS 7671) or the IET’s Guidance Notes. Aimed at experienced electricians interested in understanding a wide range of equipment and systems available, this course applies to the specialised installation requirements of electric vehicle charging equipment in domestic dwellings, on-street locations, commercial and industrial premises. The course provides detailed guidance and recommendations on all aspects of the installation of Electric Vehicle Charging Equipment from the origin of the electrical supply, through distribution and final circuits, installation of the charging equipment itself to the cable between the charging equipment and vehicle’s electrical inlet. Also included are related issues of site layout and planning and subsequent inspection, testing, certification and maintenance of installations. Why take this course? Currently there is an increasing demand for new electric vehicle charging points but too few installers to roll them out. This is already a booming market which is due to get much bigger in the near future. The number of public charging connectors and locations has increased by 38% in the past 12 months and is expected to continue at that rate for years to come. Entry Requirements There are no formal entry requirements for this qualification, however we do expect you to meet the following requirements: Minimum age 18 years old (mandatory) Must be able to demonstrate the following competencies Be able to correctly install and terminate: pvc/pvc cable (twin and earth) Steel Wire armoured cable (swa) Be able to carry out an initial verification (inspection & testing) on an electrical installation and complete the necessary paperwork. Please Note: These competencies are required for the assessment and are not taught as part of the course. It is also recommended that you are up to date with your wiring regulations.

This EV charging course is intended to provide expert guidance to learners wishing to gain knowledge and understanding on Electric Vehicle charging equipment installation. This 2 day course provides expert guidance on EV charging equipment installation, an important emerging area which is not covered in detail by the current edition of the Wiring Regulations (BS 7671) or the IET’s Guidance Notes. Aimed at experienced electricians interested in understanding a wide range of equipment and systems available, this course applies to the specialised installation requirements of electric vehicle charging equipment in domestic dwellings, on-street locations, commercial and industrial premises. This training course provides detailed guidance and recommendations on all aspects of the installation of Electric Vehicle Charging Equipment from the origin of the electrical supply, through distribution and final circuits, installation of the charging equipment itself to the cable between the charging equipment and vehicle’s electrical inlet. Also included are related issues of site layout and planning and subsequent inspection, testing, certification and maintenance of installations. Also Covering: How EV charging works How to select the correct EV Charging Point Solution for the customers needs. Technical requirements of installing & the use of different earthing arrangements (TN-C-S/TT systems) Planning requirements, labelling & risk assessments How to carry out surveys & Pre Installation considerations Meeting the requirements of BS7671 Awareness of the IET code of practice for Electrical Vehicle Charging Equipment & Installation. Plus much more Why take this EV charging course? Currently there is an increasing demand for new electric vehicle charging points but too few installers to roll them out. This is already a booming market which is due to get much bigger in the near future. The number of public charging connectors and locations has increased by 38% in the past 12 months and is expected to continue at that rate for years to come. Add this important service to future proof your knowledge to allow extra inspection & testing plus new installation work with this electric vehicle charging course. We have a variety of charging units and simulated installs which means it is just as working on a real installation. Making this installers course real value for money.

Explore the world of Artificial Intelligence with our comprehensive Foundations Course. From understanding the basics of AI and essential mathematical principles to delving into advanced topics like Deep Learning, Natural Language Processing, and Robotics – this course equips you with the knowledge and skills needed to navigate the dynamic landscape of AI. Whether you're a student, professional, or enthusiast, join us on a journey to build a solid foundation in AI and develop practical applications that shape the future. Enroll now and empower yourself to contribute to the exciting field of Artificial Intelligence.

Learn to efficiently use Midjourney, an AI image-generation tool sweeping the globe. Generate images with artificial intelligence (AI) in a revolutionary way using text prompts or simple drawing tools. So, join this course and let's get your first idea on the screen!

This course satisfies the supervision requirements in the LAA Standard Contract & covers the key skills needed to ensure compliance with the LAA Contract.

Introduction to AI for Business

Artificial Intelligence isn’t science fiction anymore — it’s shaping the way we search, shop, scroll, and sometimes even spill the tea. This course lays the groundwork for understanding how AI actually works — minus the jargon and dramatic movie scenes. You’ll explore essential concepts such as algorithms, data patterns, logic systems, and machine-based learning models, all presented in a format that makes sense even if your only prior experience with AI is arguing with your phone's voice assistant. Perfect for curious minds across industries, this foundational course covers the key principles that drive AI technologies, from basic neural networks to the role of big data in decision-making. Whether you're brushing up for academic reasons or looking to speak AI without sounding like a tech cliché, you’ll find this course insightful, neatly organised, and refreshingly down-to-earth. All content is delivered online, allowing you to study at your own pace — no awkward group projects or lab goggles required. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01 : Introduction to Artificial Intelligence Module 02 : Mathematics for AI Module 03 : Knowledge Representation in AI - Part 1 Module 04 : Knowledge Representation in AI - Part 2 Module 05 : Machine Learning - Part 1 Module 06 : Machine Learning - Part 2 Module 07 : Deep Learning Module 08 : Natural Language Processing Module 09 : Computer Vision Module 10 : Robotics Module 11 : Building AI Applications Learning Outcomes: Grasp the fundamentals of artificial intelligence and its applications. Develop a strong mathematical foundation for AI algorithms. Master knowledge representation techniques in AI. Explore the principles and applications of machine learning. Dive into the world of deep learning and its use in AI. Understand the core concepts of natural language processing and computer vision. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Technology enthusiasts eager to delve into AI. Students pursuing a career in AI and machine learning. Professionals seeking to upskill in the AI domain. Engineers and programmers interested in AI development. Entrepreneurs exploring AI for business solutions. Anyone with a curiosity about the future of artificial intelligence. Graduates looking to enhance their tech-related knowledge. Innovators with an interest in robotics and AI applications. Career path AI Research Scientist Machine Learning Engineer Data Scientist Natural Language Processing Engineer Computer Vision Specialist Robotics Software Engineer Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Executive AI Coaching: Boost Your Leadership with Generative AI Unlock the power of AI for your business with personalised executive coaching. Paul Addicott-Evans, founder of AECS, offers bespoke 1-on-1 sessions to transform leaders into AI champions. Enhance productivity, drive innovation, and stay ahead in the AI revolution. 20+ years of tech and business expertise. Tailored for C-suite, senior leaders, and entrepreneurs. Elevate your leadership—master generative AI today!

Dive into the transformative world of Artificial Intelligence through the course titled 'Foundations of Artificial Intelligence: Building Intelligent Systems.' This comprehensive curriculum sweeps across an array of subjects, from the rudimentary introduction to AI to the intricate nuances of building AI applications. Embrace a holistic understanding of core modules like Machine Learning, Natural Language Processing, and Robotics. The content, framed meticulously, beckons those inquisitive minds eager to craft, innovate, and change the world with AI's limitless possibilities. Deepen your conceptual clarity with two-part modules that delve into Knowledge Representation and Machine Learning, ensuring that learners grasp intricate details without feeling overwhelmed. With sections dedicated to Computer Vision and Deep Learning, individuals will find themselves proficiently navigating the vibrant ecosystems these technologies encompass. Finally, a spotlight on AI applications ensures that learners not only acquire theoretical wisdom but also grasp how AI integrates into real-world scenarios. By the culmination of this course, participants will stand at the forefront of AI innovations, armed with the acumen to shape a future where intelligent systems intertwine seamlessly with our daily lives. This foundation lays the groundwork for boundless exploration in the Artificial Intelligence realm Learning Outcomes Upon completion of this course, participants will be able to: Gain comprehensive insights into the fundamental principles of Artificial Intelligence. Understand the critical mathematical concepts underpinning AI technologies. Develop proficiency in various AI knowledge representation methods. Acquire a solid foundation in Machine Learning, Deep Learning, and Natural Language Processing techniques. Familiarise with the applications and integrations of AI in Robotics and Computer Vision. Why buy this Foundations of Artificial Intelligence: Building Intelligent Systems? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Foundations of Artificial Intelligence: Building Intelligent Systems there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Foundations of Artificial Intelligence: Building Intelligent Systems course for? This Foundations of Artificial Intelligence: Building Intelligent Systems does not require you to have any prior qualifications or experience. You can just enrol and start learning. Aspiring AI enthusiasts keen on building a robust foundation in the subject. Technologists aiming to pivot into AI-centric roles. Researchers eager to enhance their knowledge spectrum in intelligent systems. University students studying computer science or related disciplines, looking to supplement their academic pursuits. Entrepreneurs eyeing opportunities in AI-driven ventures. Prerequisites This Foundations of Artificial Intelligence: Building Intelligent Systems does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Foundations of Artificial Intelligence: Building Intelligent Systems was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path AI Research Scientist - Average Salary Range: £60,000 - £85,000 per annum Machine Learning Engineer - Average Salary Range: £55,000 - £80,000 per annum NLP Specialist - Average Salary Range: £50,000 - £75,000 per annum Computer Vision Engineer - Average Salary Range: £52,000 - £77,000 per annum Robotics Engineer - Average Salary Range: £48,000 - £73,000 per annum AI Application Developer - Average Salary Range: £54,000 - £79,000 per annum Course Curriculum Module 01: Introduction to Artificial Intelligence Introduction to Artificial Intelligence 00:21:00 Module 02: Mathematics for AI Mathematics for AI 00:17:00 Module 03: Knowledge Representation in AI - Part 1 Knowledge Representation in AI - Part 1 00:18:00 Module 04: Knowledge Representation in AI - Part 2 Knowledge Representation in AI - Part 2 00:16:00 Module 05: Machine Learning - Part 1 Machine Learning - Part 1 00:16:00 Module 06: Machine Learning - Part 2 Machine Learning - Part 2 00:15:00 Module 07: Deep Learning Deep Learning 00:16:00 Module 08: Natural Language Processing Natural Language Processing 00:22:00 Module 09: Computer Vision Computer Vision 00:14:00 Module 10: Robotics Robotics 00:18:00 Module 11: Building AI Applications Building AI Applications 00:24:00

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