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Artificial Intelligence (AI) Leadership

There’s more to being a leader in AI than knowing the latest buzzwords. In this track you will gain a deeper understanding of advanced AI topics and be ready to lead your organization to success with AI. You will learn how to monetize AI and create product-led solutions to build lasting value. Responsible and Explainable AI (XAI) are the key to building trust and managing regulatory pressure. Wrap your journey up with best practices on security and risk management to become an AI leader for your organization.

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Loved by learners at thousands of companies

1
Theory
Monetizing Artificial Intelligence

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

1 hour

Vin Vashishta Headshot

Vin Vashishta

Founder and Chief Revenue Officer of V Squared

2
Theory
Responsible AI Practices

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

2 hours

Esther Montoya van Egerschot Headshot

Esther Montoya van Egerschot

Chief AI Governance & Ethics at DigiDiplomacy

3
Theory
Explainable Artificial Intelligence (XAI) Concepts

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

1 hour

Folkert Stijnman Headshot

Folkert Stijnman

ML Engineer

4
Theory
AI Security and Risk Management

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

2 hours

Angeline Corvaglia Headshot

Angeline Corvaglia

Digital transformation specialist, founder of Data Girl

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