Here are highly practical AI courses and programs that focus on business applications (strategy, product, operations, or deployment), grouped by who they’re best for and with quick notes on what you’ll get.

Executive / Strategy (non‑technical)

• MIT Sloan — Artificial Intelligence: Implications for Business Strategy — 6‑week exec program focusing on ML, NLP, generative AI and building an AI plan/capstone for your organization. Good for leaders who need frameworks to evaluate and sponsor AI initiatives. (executive.mit.edu)
• UC Berkeley Executive Education — Artificial Intelligence & GenAI: Business Strategies and Applications (and a short “AI for Executives” option) — case studies, capstone, hands‑on strategy sessions for leaders. (em-executive.berkeley.edu)
• Microsoft — “AI for business leaders” / Microsoft Learn AI learning hub — short self‑study and instructor‑led resources to plan, scale and govern AI projects across industries. Good for leaders using Microsoft/Azure ecosystems. (learn.Microsoft.com)

Product / Program / Project Managers (practical, hands‑on but not heavy coding)

• Udacity — AI Product Manager Nanodegree (Generative AI and product roadmaps, PRDs, launch planning, bias/metrics) — project‑based, builds product deliverables you can use with stakeholders. (Udacity.com)
• Coursera / Google Cloud — Managing Machine Learning Projects with Google Cloud (and Google’s “Generative AI Leader” professional certificate) — focuses on identifying business value, feasibility, and managing ML projects end‑to‑end on Google Cloud/Vertex AI. Good for PMs and technical program managers. (Coursera.org)

Applied / Practitioner (technical + business impact)

• Coursera / DeepLearning.AI — Generative AI for Everyone (Andrew Ng) — short, business‑oriented intro that covers lifecycle of GenAI projects and prompt engineering; designed for non‑engineers and product teams to start building business use cases. (Coursera.org)
• Google Cloud (Skills Boost & Coursera) — Introduction to Generative AI and Generative AI learning paths — practical labs and badges for applying GenAI across business functions (Docs/Gmail/Vertex integrations). Good if you plan to implement Google Cloud tools. (Coursera.org)
• Udacity / Nanodegree (AI for Business Leaders or AI Engineer options) — project work + real business scenarios; choose the nanodegree that emphasizes product/ops if you want applied deliverables. (Udacity.com)

Company / platform resources (short, free, practical)

• Google Grow with Google / Google AI resources — short workshops (AI Essentials, Prompting Essentials, “Grow Your Business with AI”) aimed at small business owners and teams to adopt AI tools quickly. (grow.Google)

Quick guidance to pick the right one

• If you’re a senior leader with limited technical background: pick an executive program (MIT Sloan, Berkeley ExecEd, Microsoft’s leader training). (executive.mit.edu)
• If you’re a product manager or PMO who must deliver an AI product: choose Udacity’s AI Product Manager or Google’s ML project management courses (project work and PRDs). (Udacity.com)
• If you want hands‑on implementation on a cloud platform: use Google Cloud learning paths or Microsoft Learn + Azure AI labs (practical labs, Vertex AI / Azure examples). (cloud.Google.com)
• For quick team upskilling or pilot projects: take short courses (Generative AI for Everyone; Google’s micro‑courses or Grow with Google workshops) and run a 2–4 week internal sprint to build a concrete use case. (Coursera.org)

If you’d like, I can:

• recommend 2–3 specific courses matched to your role (CEO, PM, data lead, or small‑business owner), or
• lay out a 4‑week learning + pilot plan (which course modules to take, what pilot to build, and success metrics).