Artificial intelligence (AI) facilitates accelerated decision-making in business by leveraging outputs from cognitive technologies. When AI systems are properly implemented, they can help prevent mistakes and reduce "human error." Additionally, AI enables organizations to gain insights and predict customer preferences, allowing for enhanced personalized experiences.

The Artificial Intelligence for Business and Organizations course aims to enhance your understanding of AI and machine learning through real-life examples. You will explore different types and methodologies of machine learning, and discover successful business applications of this technology. The course also provides a foundation in big data, artificial intelligence, and machine learning, enabling you to effectively deploy these technologies to support your organization's strategic objectives.

Course Objectives:

At the end of this Artificial Intelligence for Business and Organisations Course, learners will be able to do:

The ability to identify and assess the possibilities for AI in your organization and build a business case for its implementation.
A strong conceptual understanding of the technologies behind AI such as machine learning, deep learning, neural networks, and algorithms.
Insight from Oxford Saïd faculty and a host of industry experts, helping you to develop an informed opinion about AI and its social and ethical implications.
A contextual understanding of AI, its history, and evolution, helping you to make relevant predictions for its future trajectory.

Who Should Attend?

The artificial Intelligence for Business and Organizations Training course is designed for:

Management and business leaders across multiple functions and industries seeking to understand the possibilities of AI,
Technical professionals such as CIOs, IT managers, and business analysts looking to better understand how AI can be implemented within their organizations.

Course Outlines:

Artificial intelligence ecosystem

Explore the history and potential of AI within the context of the digital ecosystem.

AI and machine learning: Understanding the black box

Delve into the mechanics of the three main types of machine learning: supervised, reinforcement, and unsupervised learning.

Understanding deep learning and neural networks

Understand what deep learning is and how it is powering the modern approach to AI.

Working with intelligent machines

· Explore the concept of intelligence in machines and the impact of AI in the labor market.

The ethics of artificial intelligence

Explore the hierarchy of ethical and legal considerations around AI.

How to drive AI in your business

Identify the potential business opportunity of AI in a specific context.

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