Artificial Intelligence is no longer just a futuristic concept, it is a present-day force reshaping industries, workflows, and decision-making across the global economy. This course introduces the core ideas, methods, and applications of AI, with a focus on how business professionals can engage with this fast-moving field responsibly and strategically.
You’ll explore the foundations of machine learning, deep learning, and neural networks, and examine how different types of AI systems – from narrow, task-specific models to generative tools – are built and deployed. By connecting technical concepts to real-world use cases, you’ll gain insight into how AI creates value, what risks it introduces, and why ethical and governance frameworks are essential for its safe use.
Through accessible explanations, practical examples, and expert insights from the University of Oxford, this course provides the conceptual grounding to understand AI today and prepare for what’s next. Whether you’re a manager, analyst, policymaker, or team leader, you’ll leave equipped to ask better questions, evaluate AI opportunities, and collaborate more effectively with technical teams.
This is the first course in the AI Foundations for Business Professionals specialisation. It provides the essential knowledge base you’ll need before progressing to more applied topics in Generative and Agentic AI, and AI Governance.
AI is transforming how decisions are made, insights are generated, and value is created across every industry. In this course, you’ll learn how AI systems work, what makes them different from traditional tools, and where their real power lies. You’ll also explore the ethical risks they pose, and wh…
Artificial Intelligence is rapidly reshaping industries, redefining how organisations make decisions, create value, and interact with customers. In this module, you'll explore what AI really is, how it works, and why understanding its potential, and its limitations, is essential for responsible lea…
Artificial intelligence may feel like a modern breakthrough, but its roots stretch back over 80 years. In this module, you’ll trace the intellectual and technical evolution of AI, understanding how each generation of research has influenced today’s capabilities. You’ll also explore why expectations…
AI is no longer theoretical; it’s powering tools that detect fraud, recommend products, diagnose diseases, and generate content. In this module, you’ll explore the core types of machine learning, the role of neural networks, and the real-world capabilities and limitations of the AI systems used in…
This final module consolidates your learning from across the course and invites you to reflect on how AI can be used responsibly and effectively in your own context. You’ll revisit the key themes of prediction, value creation, ethics, and oversight, then apply your knowledge through a peer reviewed…
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University of Oxford is in Tier 1: world-leading universities and India's top institutes of our institution ranking (96/100).
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
This playlist contains video recordings of Stanford's graduate-level CS329A course. It covers the latest techniques and applications of AI agents that can continuously improve themselves through interaction with themselves and the environment. The lecture recordings start with self-improvement tech…
The field of Computer Science is headed for a major upheaval with the rise of large AI models, such as ChatGPT, that are capable of performing general-purpose reasoning and problem solving. We are headed for a future in which it will no longer be necessary to write computer programs. Rather, I beli…
Harvard University · edX
This introduction to moral and political philosophy is one of the most popular courses taught at Harvard College.
Instructor: Jon Gruber, 14.01 students View the complete course: http://ocw.mit.edu/14-01SCF10 This course includes a full set of lecture videos and a selection of problem solving videos. In the lecture videos, Professor Jonathan Gruber covers the principles of microeconomics conceptually, mathemat…
This course provides a thorough introduction to the principles and methods of physics for students who have good preparation in physics and mathematics. Emphasis is placed on problem solving and quantitative reasoning. This course covers Newtonian mechanics, special relativity, gravitation, thermod…
