By the end of theArtificial intelligence: business strategies and applications training course you’ll walk away with:

• The ability to identify and assess the possibilities for AI in your organisation 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.
• Learn AI’s current capabilities and applications-and its future potential.
• Learn how to organize and manage successful AI application projects.
• Grasp the technical aspects of AI well enough to communicate effectively with technical teams and colleagues.
• Learn how to avoid pitfalls associated with these new technologies.
• Build your leadership credibility by obtaining a Certificate of Completion from UC Berkeley Executive Education.

Artificial intelligence: business strategies and applications training course, is ideal for :

• Senior leaders including C-suite executives overseeing the integration of AI into their organization's business strategy.
• Senior managers and executives involved with managing teams and AI-driven projects.
• Functional Business Heads interested in exploring AI opportunities across business functions.
• Mid-career professionals looking to bolster their career opportunities through new technologies.
• Data Scientists and Analysts involved in research for business intelligence or data analytics where AI may be useful.
• Professionals eager to up skill and advance in their career with the recent advancement in applications of AI in business.

Day 1
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.
Day 2
Understanding deep learning and neural networks

• Understand what deep learning is and how it is powering the modern approach to AI.
Day 3
Working with intelligent machines

• Explore the concept of intelligence in machines and the impact of AI in the labour market.
Day 4
The ethics of artificial intelligence

• Explore the hierarchy of ethical and legal considerations around AI.
Day 5
How to drive AI in your business

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