Reinforce and expand on concepts covered in Udacity’s AI business leader programs
Guide learners through Udacity course projects, providing structured, actionable advice
Share practical industry experience on how AI is deployed, managed, and scaled within organizations
Clarify complex AI concepts (e.g., generative models, agentic systems, RAG architectures, model evaluation, governance frameworks) in accessible, business-relevant terms
Discuss how AI decisions are made inside organizations, including trade-offs, constraints, and implementation challenges
Offer grounded perspective on where AI delivers meaningful value and where it is often misapplied
Experience with facilitating structured group sessions for professional audiences is strongly preferred
5+ years working in AI, Machine Learning, Data Science, or AI Product roles
Direct experience deploying AI/ML systems in production environments
Familiarity with generative AI (LLMs, RAG, tool use, evaluation) and/or agent-based systems
Solid understanding of model evaluation and how data quality impacts outcomes
Experience working with business stakeholders or senior leadership
Ability to explain technical trade-offs clearly without oversimplifying
Strong communication presence and ability to manage group discussions
Experience leading AI initiatives inside an organization
Exposure to vendor evaluation or build-vs-buy decisions
A background that spans both technical and business responsibility
Previous mentoring, coaching, or teaching experience
Gain recognition for your technical knowledge
Earn additional income
Contribute to a vibrant, global student community
Stay updated on the latest cutting-edge technologies