AI Foundations for Business Professionals

Saïd Business School via Coursera Specialization

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Overview

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This specialisation equips business leaders and professionals with a practical understanding of artificial intelligence, from foundational concepts to generative capabilities and governance best practices. You'll explore real-world AI applications, learn to critically assess opportunities and risks, and develop strategic insights to integrate AI into organisational workflows responsibly. Designed and taught by Oxford faculty, this series empowers you to harness AI effectively and ethically to drive sustainable business value.

Syllabus

Course 1: AI Essentials
Course 2: Generative and Agentic AI
Course 3: AI Governance

Courses

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13 hours 9 minutes
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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.
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14 hours 59 minutes
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As AI systems become more powerful and embedded across industries, the need for effective governance is no longer optional – it’s essential. This course explores how organisations can ensure that AI tools are not only effective but also safe, fair, and accountable throughout their lifecycle. You’ll learn to identify key risks such as bias, misalignment, and overreliance, and explore why even well-intentioned AI systems can fail. From ethical frameworks to incident response plans, this course provides practical tools to embed trust into every stage of AI development and deployment. Using real-world scenarios and governance models like the Trustworthy AI Cycle, you’ll examine how principles such as transparency, oversight, and explainability can be operationalised in business settings. Whether you're selecting vendors, building internal systems, or crafting policy, this course equips you to lead AI implementation with integrity. With case studies, strategic frameworks, and implementation guidance, you’ll leave with a roadmap for aligning AI systems with legal, ethical, and societal expectations. This is the third course in the AI Foundations for Business Professionals specialisation. To get the most out of this course, we recommend completing AI Essentials and Generative and Agentic AI beforehand to build both the technical understanding and applied context for responsible AI leadership.
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13 hours 32 minutes
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Generative and agentic AI systems are pushing the boundaries of what artificial intelligence can create, automate, and initiate. This course explores the cutting-edge capabilities behind tools like ChatGPT and autonomous agents; unpacking not just how they work, but how they’re transforming workflows, communication, and decision-making across industries. You’ll dive into the mechanics of large language models (LLMs), the design of effective prompts, and the power of retrieval-augmented generation (RAG) to ground outputs in real data. As AI systems become more proactive and goal-directed, you’ll examine what agentic AI means for autonomy, alignment, and organisational control. Alongside technical insights, this course guides you in understanding the strategic and operational challenges of deploying these systems responsibly. With simulations, practical demonstrations, and expert-led content, you’ll gain the tools to evaluate generative and agentic AI systems with clarity and confidence. Whether you’re exploring content automation, AI agents for business tasks, or governance strategies, this course helps you navigate both the potential and the pitfalls of this fast-evolving field. This is the second course in the AI Foundations for Business Professionals specialisation. We recommend completing AI Essentials first to build a strong conceptual foundation before applying these advanced AI systems in your organisation.