ai-business-courses

Whether you are an organisational leader, senior manager or business owner, we have selected some of the best online AI courses and programmes from leading institutions for you. These will teach you about topics such as machine learning, natural language processing, generative AI, unsupervised learning, algorithmic trading, and AI Ethics.

For the latest fees and registrations dates, we have included links, so that you can access accurate and up to date information.

8 Top AI Courses for Business Leaders

Saïd Business School, University of Oxford – Oxford Artificial Intelligence Programme

The Oxford Artificial Intelligence Programme is a six-week online AI course that introduces participants to AI, what it can achieve, and what ethical challenges it raises.

Participants learn about the uses of AI and how to assess the impacts and opportunities of AI in different situations, and design a persuasive business case for implementing it in their own organisational context. By the end of the programme, participants will grasp the essential concepts of AI, and be able to make smart choices about its use within their own organisations.

The University of Oxford is a global leader in AI, with world-class research spanning from practical applications to quantitative and computational principles of AI. The programme draws on this distinctive environment and multidisciplinary experts selected from across the University of Oxford to provide a comprehensive examination of AI and machine learning.

For more information on Oxford Artificial Intelligence Programme please visit here.

To read our Comprehensive Review of the Oxford Artificial Intelligence Programme, click here.

MIT Sloan School of Management – Artificial Intelligence in Health Care

The MIT Sloan School of Management and the MIT J-Clinic offer a short online AI course if you want to learn how AI can impact health care. This course explores the benefits and limitations of AI in the health care sector, looks at the problems it can solve, and shows successful AI examples through industry case studies.

Health care can benefit from machine learning (ML) and artificial intelligence (AI) by delivering enhanced options for diagnosis, treatments, and understanding of disease progression. In this AI course you will learn how machine learning and artificial intelligence can improve health care by offering automated outcomes and solutions.

For more information on the MIT Artificial Intelligence in Health Care Programme please visit here.

MIT Sloan and MIT CSAIL – Artificial Intelligence: Implications for Business Strategy

To leverage the advantages that automation can offer your business, you need to understand its implications and have the confidence to apply it in within your own teams and organisations. The Artificial Intelligence: Implications for Business Strategy online short AI course from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) provides you with skills to include artificial intelligence (AI) and machine learning (ML) in your business strategy. This then helps you to create a plan for implementation.

This course examines the workings of generative AI, exploring its uses, challenges, and the vital role humans play in directing how it’s used. With an emphasis on the organisational impact and potential of robotics, natural language processing and ML, plus generative AI tools like ChatGPT, you’ll gain valuable understanding to drive AI integration and machine learning within your business.

For more information on the MIT Artificial Intelligence: Implications for Business Strategy Programme please visit here.

MIT Sloan and MIT Schwarzman College – Making AI Work: Machine Intelligence for Business and Society

This AI programme aims to help business leaders comprehend and handle the effect of AI on their organisations and society. It offers useful tools and methods for ethical data use, machine learning systems, and technological advancement. Leaders in both public and private sectors will then be able to guide their organisations toward accountable innovation.

The programme fosters collaboration between managers and technical specialists, enabling them to improve AI models, make important choices and use a human-centred method to deploy machine learning, this with AI as an instrument for promoting inclusive growth.

For more information on the MIT Machine Intelligence for Business and Society Programme please visit here.

MIT Sloan and MIT Schwarzman College – Unsupervised Machine Learning: Unlocking the Potential of Data

Usually, artificial intelligence (AI) models require large amounts of labelled data to be trained. As a result, many valuable datasets that are unstructured and scarce are often ignored. But with the latest advances in machine learning (ML), businesses can use these hidden data sources to gain an edge over others.

This online short AI course on Unsupervised Machine Learning: Unlocking the Potential of Data, offered by the MIT Sloan School of Management and the MIT Schwarzman College of Computing, teaches you the technical and strategic aspects of unsupervised learning methods. You will explore these methods, their advantages and disadvantages, through case studies, and practical applications. After this course, you will be able to discover the hidden potential of your data, no matter its size or quality, and design customised AI solutions that address your specific business challenges.

For more information on the MIT Unsupervised Machine Learning: Unlocking the Potential of Data Programme please visit here.

MIT Sloan and MIT CSAIL – Machine Learning in Business

This AI programme offers a comprehensive understanding of the technical aspects required to create a good machine learning integration strategy, with an emphasis on the managerial implications of machine learning. Learn from machine learning experts and MIT faculty, and examine how this technology can impact and add value to the business world.

By the end of the course, you will have a solid grasp of machine learning applications in the business domain without the need for coding or programming. You will also explore the potential, capabilities, and scope of AI technology.

For more information on the MIT Machine Learning in Business Programme please visit here.

Saïd Business School, University of Oxford – Oxford Artificial Intelligence in Marketing Series

Explore how AI can change your marketing strategy in a disruptive digital age, and discover real-world examples of artificial intelligence at work, innovative digital marketing methods and learn how to run successful AI driven marketing campaigns.

This AI series is a learning path for marketing and business leaders who want to enhance their strategic skills. It will help you understand AI’s applications and provide the tools to make a strong business case for implementation. You will develop the skills and confidence to handle the disruptive forces in the digital marketing sphere, and learn how to adapt your marketing approach accordingly.

For more information on the Oxford Artificial Intelligence in Marketing Series please visit here.

Saïd Business School, University of Oxford – Oxford Artificial Intelligence in Trading Series

Learn AI’s impact on financial trading, algorithmic trading approaches, methods, techniques, and financial concepts, and examine the history of artificial intelligence and its ethical challenges for responsible decision making.

The Oxford Artificial Intelligence in Trading Series is an interdisciplinary AI course that helps you gain a deep understanding of the potential of AI in financial trading. You will learn the principles behind successful algorithmic trading strategies and hedge funds, as well as financial theory and behavioural finance fundamentals. After completion, you will have the ability to make informed decisions about AI and machine learning applications, and the skills to assess the feasibility of investing in a trading model or fund.

For more information on the Oxford Artificial Intelligence in Trading Series please visit here.

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