UK AI Skills
Open, free-to-access AI learning resources for individuals and SMEs. Compare options by cost, time, and level. No gatekeeping, just clarity.
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Microsoft: Curious about artificial intelligence? Want to understand what all the buzz is about? This module introduces you to the world of AI.
Unlock the power of AI in your business without writing a single line of code. In this course, you’ll discover how AI Agents can act as helpful digital team members—automating everyday tasks, answering questions, and guiding you through your work so you can focus on what really matters. Whether you’re running a shop, a charity, or a growing startup, you’ll learn the basics of how to AI Agents can streamline your processes and make your team more productive.
Microsoft: In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input.
Amazon: This Learning Path helps you build knowledge on AWS Cloud and exposes you to foundational cloud concepts, AWS services, security, architecture, pricing, and support. This Learning Path presents domain-specific content and includes courses, knowledge checks, and a knowledge badge assessment. This path is a guide and presents learning in a structured order, it can be used as presented or you can select the content that is most beneficial.
Microsoft: Get started with Microsoft 365 Copilot
Microsoft: In this course, delve into how Microsoft 365 Copilot can streamline communication and power up your content creation. This learning path, crafted to be both practical and enlightening, spans three key modules. These modules will walk you through the basics of Microsoft 365 Copilot, showcase its versatility across various Microsoft 365 Apps, and offer advice on maximizing its potential. Designed with all professionals in mind, this beginner-friendly course requires no previous AI expertise.
Microsoft: Discover ways to craft effective and contextual prompts for Microsoft 365 Copilot that create, simplify, transform, and compile content across Microsoft 365 applications. Learn the importance of providing a clear goal, context, source, and expectation in your prompt for the best results. This course covers real world scenarios and examples using Copilot in Microsoft 365 apps like Word, Excel, PowerPoint, Teams, Outlook, OneNote, and Chat.
Open University: The "Everyday Maths 1" course is a free, introductory program aimed at enhancing your mathematical skills for daily life. It serves as a preparatory step towards Level 1 Functional Skills in maths, designed to inspire you to improve your current maths skills and help you to remember any areas that you may have forgotten. By engaging with practical examples and interactive activities, you'll develop the confidence to apply mathematical concepts in various real-world scenarios, such as managing household tasks or advancing your career. To participate, you'll need access to a calculator, notepad, and pen. Upon completion, you have the opportunity to earn an Open University digital badge, showcasing your commitment to enhancing your numeracy skills.
The British Standards Institution: Assessing robustness of AI systems is a crucial part of their development and deployment. Here at BSI, we have developed a short course that explores the main principles and the importance of implementing robust deep learning systems, as outlined in ISO/IEC 24029-1:2021.
Open University: Do fractions and decimals make you apprehensive about maths? Do you lack confidence in dealing with numbers? If so, then this free course, Numbers, units and arithmetic, is for you. The course will explain the basics of working with positive and negative numbers and how to multiply and divide with fractions and decimals.
Good Things Foundation: Learn My Way is our free online platform that helps people gain basic digital skills and build confidence in using the internet. Digital skills & confidence are the foundation of being digitally included. These days you need to know how to use the internet or technology to use public services, work or stay in touch with loved ones. Yet, 7.5 million working-age adults lack digital skills for work, and 8.5 million lack the most basic digital skills. We're on a mission to change that. Initially teaching digital skills with two learning platforms in 2018, we won the Bronze award in the Best Use of Blended Learning in the UK Learning Technology Awards. In 2021, Make It Click, a programme funded by Google.org, came to a close but our online learning platform Learn My Way remained. We refreshed Learn My Way in spring 2023 with up-to-date digital content for our modern world. Thousands of Digital Inclusion Hubs across the UK now use Learn My Way. People can visit registered hubs for support or use the platform independently to access hundreds of free topics. Learn My Way is available in English and Welsh.
Coursera with University of Pennsylvania: Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course. Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give you a foundation for solving problems that have real-world, social impact. In this course, you will learn about the pillars of computational thinking, how computer scientists develop and analyze algorithms, and how solutions can be realized on a computer using the Python programming language. By the end of the course, you will be able to develop an algorithm and express it to the computer by writing a simple Python program. This course will introduce you to people from diverse professions who use computational thinking to solve problems. You will engage with a unique community of analytical thinkers and be encouraged to consider how you can make a positive social impact through computational thinking.
If you’re interested in a career in system administration but aren’t sure where to start, this course is for you. System administration requires skills spanning across many topics, and in this course, Robert McMillen helps you get started by providing an overview of the role, core skills and tools needed, and how to start and advance your career. Learn about managing on-premises, cloud, physical, and virtual implementations, as well as storage security and much more. If you’re looking for the skills necessary to continue your learning journey and earn a Career Essentials Certificate by Microsoft and LinkedIn to showcase your skills to employers, join Robert in this course.
Coursera: This is the first course in the Google Data Analytics Certificate. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.
Open University: This certificate offers a comprehensive introduction to fundamental concepts in statistics. Participants will develop the skills required to explore, summarise, and analyse data effectively in order to address real-world problems. The course emphasises the broad applicability of statistical methods and the importance of understanding variability in today’s data-driven environment. In addition, participants will gain practical experience with a range of statistical software tools, supporting the confident application of statistical techniques. The course also encourages critical evaluation of the limitations inherent in statistical analyses, fostering a well-rounded and informed approach to data interpretation.
LinkedIn with Microsoft: Data analysts examine information using data analysis tools and help their teams develop insights and business strategies. You’ll need skills in math, statistics, communications, and working with tools designed to do data analytics and data visualization. Explore this high-demand career.
Coursera: This course explores Excel as a tool for solving business problems. In this course you will learn the basic functions of excel through guided demonstration. Each week you will build on your excel skills and be provided an opportunity to practice what you’ve learned. Finally, you will have a chance to put your knowledge to work in a final project. Please note, the content in this course was developed using a Windows version of Excel 2013. This course was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017.
DeepLearning AI with Andrew Ng: AI is not only for engineers. “AI for Everyone”, a non-technical course, will help you understand AI technologies and spot opportunities to apply AI to problems in your own organization. You will see examples of what today’s AI can – and cannot – do. Finally, you will understand how AI is impacting society and how to navigate through this technological change. If you are a non-technical business professional, “AI for Everyone” will help you understand how to build a sustainable AI strategy. If you are a machine learning engineer or data scientist, this is the course to ask your manager, VP or CEO to take if you want them to understand what you can (and cannot!) do.
British Standards Institution: This training course is based on a foundational standard for one of the most popular, internationally recognised standards on Artificial Intelligence Management System (AIMS), ISO/IEC 42001:2023.
British Standards Institution: As AI systems become more prevalent and powerful, it’s essential that we understand and manage their impact on individuals, communities, and business. An AI impact assessment is a comprehensive evaluation of how an AI system may affect various aspects of a business, including privacy, security, fairness, and ethics. It involves analysing the potential risks, benefits, and unintended consequences of deploying AI in different contexts.
University of Helsinki: The Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
DataCamp: Begin creating AI systems using models from OpenAI. Learn how to use the OpenAI API to prompt OpenAI's GPT and Whisper models. Are you ready to start creating systems and applications using AI? In this track, you'll learn how to use the OpenAI API in Python to begin creating diverse applications like chatbots, semantic search engines, and recommendation systems.You'll discover how organizations worldwide are building new AI products and features built on the OpenAI API. Through hands-on coding exercises, you’ll learn how to send prompts to OpenAI's GPT models to solve a wide range of real-world problems. You'll learn state-of-the-art prompting techniques to get the most out of these models. Finally, you'll learn to encode large text corpora to begin creating context-aware applications using embeddings.
University of Oxford: This course focuses on real-world applications of AI to significant problems facing the 21st century, covering critical concepts like AI ethics and fairness, with examples from disaster planning, sustainable development, and human health. By focusing on diverse case studies, it helps develop a critical approach to AI applications, a recognition of practical and ethical challenges, a strategy to keep abreast of developments in AI, and an ability to generalise knowledge to new domains. It is aimed at a general audience, including professionals whose work brings them into contact with AI and those with no prior knowledge of AI. This is part of a series of courses that aim to confer an appreciation of how AI has already transformed our world, explain the fundamental concepts and workings of AI, and equip us with a better understanding of how AI will shape our society so that we can converse fluently in the language of the future.
Udemy: Artificial intelligence in animal production, Artificial intelligence in field crop production, Smart agriculture etc.