AI For Business Leaders

Welcome to the AI for Business Leaders Executive Program!

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Learn what AI and ML can do for your business, how to spot good use cases, and how to talk confidently about these technologies with your team.

Learn how machine learning drives business value, how to evaluate models, avoid common pitfalls, and align ML solutions with real business goals.

Learn what it takes to turn AI ideas into business impact—data readiness, ethics, system choices, risks, and the practical steps to implement and scale AI successfully.

Move from individual projects to a strategic AI vision. Learn how to build roadmaps, align stakeholders, and lead responsibly at scale.

This lesson provides the foundational knowledge needed about generative AI. From contextualizing GenAI within AI, to the processes and models used in GenAI systems, and finally use cases and benefits.

Explore the urgency, business impact, buy vs build, limitations, and use cases of generative AI to inform strategic decisions and drive productivity in organizations.

In this lesson, you'll learn how to put GenAI into practice. You'll identify business areas that could be improved, create a roadmap for GenAI projects, and identify the core components necessary.

Having the right people is essential to bringing GenAI to your business. This lesson will discuss key stakeholders, necessary roles and responsibilities, and organizational models that can be used.

This lesson will discuss key elements of a GenAI strategy, responsible AI, risk assessments for GenAI projects, and the development process and management of GenAI projects.

This lesson will cover the AI and ML architectures that supports GenAI solutions, the specific needs of GenAI projects, the significance of data, along with various partners for each step.

Webinar Recording of instructor Ed Wiley and Udacity Founder Sebastian Thrun, "Generative AI: Savior or Saboteur of the Digital Workforce"

You're drowning in AI jargon while your teams are already building. This course bridges the gap between technical reality and business decisions.

Agentic AI goes beyond chatbots and automation. This course shows you how these systems think, act, and collaborate—so you can start building and using them today.

Unlike previous tech transformations, you have people already using AI with — and without — permission. Learn to find your hidden AI champions, work with messy data, and fund experimentation wisely.

Understand what your tech team means by hallucinations, tokens, guardrails, MCP and RAG. Learn enough to spot real opportunities vs expensive mistakes.

Where agents shine: adaptive workflows and complex decisions. Where they fail: high-stakes scenarios and simple repetitive tasks. Choose wisely.

Decode vendor buzzwords, spot "agent washing," and decide whether to build, buy, or partner based on your actual capabilities, not aspirations.

Agents fail fast and at scale. Learn to build systems that fail gracefully, monitor continuously, and maintain human accountability.

Forget 18-month strategies. Focus on 90-day wins, find one boring problem to solve, and build momentum through small successes that actually ship.