12606 AI courses delivered On Demand

Information on the risks and practical advice to address them TSC's eBooks, whitepapers, and reports cover some of the most important risks in information and cyber security — risks that constantly challenge information and cyber security professionals who work tirelessly to reduce them across their organisations and home users alike.

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.

Real-World Use Cases for AI In this session, we'll look at the impact of several recent developments in Artificial Intelligence (AI) including the areas of computer vision, language understanding, and reinforcement learning on our ability to more effectively carry out projects. We'll also dive into real-world use cases where these breakthroughs are being applied to improve our ability to get things done through better communication and collaboration, information processing, and decision making. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Real-World Use Cases for AI In this session, we'll look at the impact of several recent developments in Artificial Intelligence (AI) including the areas of computer vision, language understanding, and reinforcement learning on our ability to more effectively carry out projects. We'll also dive into real-world use cases where these breakthroughs are being applied to improve our ability to get things done through better communication and collaboration, information processing, and decision making. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Unleash the power of Artificial Intelligence in your business leadership. Discover how AI reshapes business models, explore the potential of Generative AI, and build a robust, future-ready AI strategy with our expert-led course.

Thinking about learning more about Artificial Intelligence? The BCS Foundation Certificate in Artificial Intelligence is the advanced version of our Essentials Course Artificial Intelligence and includes more detail and insights about algebraic equations, vector calculus and schematics used in artificial intelligence and machine learning for you to learn how this new technology works.

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!

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

This online course covers how technical communicators can use Generative Artificial Intelligence to help them: Be more efficient Create better deliverables for their users We went through all the key stages in a technical writing project. At each step, we investigated whether AI tools like ChatGPT and Claude could make a Technical Writer's job easier and better. After a lot of research and testing, we ended up with the content for this course. The course provides a framework that attendees can use to identify opportunities and best practices for integrating ChatGPT, Claude, LLaMA, and similar tools into their technical authoring processes – creating, managing, and delivering technical content. Why attend this course? Integrating AI and natural language processing technologies promise to make Technical Writers more efficient and more effective at what they do. By attending this course, you’ll gain a better understanding of how generative AI can be used by technical communicators. You learn a framework you can use for using tools such as ChatGPT at the different stages of a technical writing project. Who is this course for? This course is for people who have some experience of technical writing, and who want to improve their skills. What will I learn? You’ll learn and practice: What are AI technologies and their relevance to technical writing? Career opportunities and threats How you can use AI at different stages of the documentation process. We cover topics such as planning, writing, reviewing, and production. How to work more efficiently. How to work more effectively. The course does not go into much detail about using generative AI to create images, audio or videos. Learning Materials The course comprises online training modules (4.75 hours of video, plus handouts), which you can complete at your own pace. The course modules are delivered over the Web in small, manageable video presentations. You can pause the videos at any time and return to the course at times that suit you. The course is roughly equivalent to a 1.5 days long classroom course. Examples The modules describe practical examples and techniques you can use right away. Demonstrations The modules contain demonstrations of the techniques and tools when they’re applied to technical writing. Exercises You’ll be given exercises to work on throughout the course. This is a great way to put your learning to practice. Your Instructor Cherryleaf Cherryleaf is a technical writing services company formed in 2002 by people with a passion for technical communication and learning development. Cherryleaf is recognised as a leader within the technical communication profession. Our staff have written articles for the Society for Technical Communication's (STC) Intercom magazine, the Institute of Scientific and Technical Communicator's Communicator journal and tekom's TCWorld magazine. They've also written books on technical communication. We've presented webinars for Adobe, Madcap Software or the STC, and we've spoken at various conferences around the world. Today, organisations throughout Europe use Cherryleaf’s services so they can provide clear information that enables users and staff to complete tasks productively. Course Curriculum Introduction Introduction (0:56) ChatGPT and AI Basics What do the buzzwords mean? (18:19) Using ChatGPT and similar tools - Software and Websites (15:30) Prompt Engineering (17:23) Why use generative AI? Why use generative AI? (5:37) The limitations of Large Language Models (LLMs) and AI systems (7:48) Data security (10:09) Legal considerations (2:59) Quiz Section summary  Frequently Asked Questions When does the course start and finish? The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.How long do I have access to the course?After enrolling, you have 12 months access to this course for as long as you like - across any and all devices you own.What if I am unhappy with the course?We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 14 days and we will give you a full refund.