AI foundations for business professionals

What you'll learn

• ✓ This course gives students a broad overview of AI as well as a foundational understanding of what AI is, what it is not, and why it matters.
• ✓ The key distinctions between building a prediction engine with human-crafted rules and machine learning - and why this distinction is critical to AI.
• ✓ Three key AI capabilities, why they matter, and what AI applications cannot yet do.
• ✓ The types of data that AI applications feed on, where that data comes from, and how AI applications turn this data into 'intelligence' with the help of ML.
• ✓ The fundamental concepts underlying the machine learning and deep learning approaches that are powering the current wave of AI applications.
• ✓ Deep learning and artificial neural networks. the reality behind the hype
• ✓ Three major risk drivers associated with AI, why they arise, and their potential consequences in the workplace.
• ✓ An overview of how AI applications are developed, and who develops them (with the help of extended analogy).
• ✓ Why one of the most serious issues confronting the AI industry today - a significant skills gap - represents an opportunity for students.
• ✓ How to apply their own knowledge, skills, and expertise to contribute to AI projects.
• ✓ Students will learn how to build on the foundations they established in this course in order to transition from informed observer to valuable contributor.