Learn key concepts and terminology in artificial intelligence (AI), including machine learning, generative AI, and deep learning

Learn the core components of machine learning systems, including data, models, and evaluation techniques

Recognize why AI systems can fail and identify the kinds of work required to make useful technology

Identify common pitfalls in conversations about AI and recognize conflicts of interest when interpreting claims about AI systems

Define critical thinking and use it to evaluate external information effectively

Employ a critical thinking framework for everyday use

Recognize how critical thinking enhances information analysis and decision-making speed with practice

Demonstrate how GenAI and critical thinking support fact-based thinking and defensible positions

Understand the core capabilities of leading generative AI tools as applied to business and professional settings

Envision and forecast new business possibilities offered by generative AI in the short and medium-term

Understand the key technical components of the generative AI technology

Explore how generative leadership helps build a new mindset for leading resourcefully and enhancing organizational thriving

Explain the impact of threat rigidity on organizations and how generative leadership can help overcome it

Apply a generative leader mindset and generative leadership strategies to real-world scenarios that involve adaptability to AI-driven change

Explore scenarios for the future of work

Discuss the impact generative AI could have on labor and business

Make informed assessments about labor involvement in generative AI technologies