Yes — there are many online AI courses and short programs specifically designed for business managers and executives. They don’t focus on building models from scratch, but on how to evaluate, adopt, lead, and get value from AI in business. What you’ll commonly find:

What these courses teach

• AI fundamentals (high-level concepts: ML, deep learning, generative AI) without heavy math.
• Business use cases and strategy (how AI can transform functions like marketing, operations, finance, HR, customer service).
• Organizational readiness (data strategy, governance, privacy, compliance, ethics).
• Implementation and change management (vendor selection, procurement, pilot-to-scale, ROI measurement).
• Product/feature and project management for AI initiatives.
• Risk, legal, and ethical considerations (bias, explainability, regulation).
• Hands-on demonstrations or case studies (sometimes light, guided labs using point-and-click tools or no-code platforms).

Types of programs and providers

• Short executive courses / microcredentials: often 1–6 weeks, aimed at C‑suite and senior managers (providers include business schools and executive-education arms).
• Online certificate programs: multi‑week to a few months; mix of recorded lessons, live sessions, and case work.
• Platform-based courses for managers: shorter units on Coursera, edX, LinkedIn Learning, Udacity, etc., tailored to non-technical audiences.
• Corporate/consulting offerings: bespoke programs from consultancies or training firms that combine strategy and practical implementation support.

What to look for when choosing a course

• Audience fit: explicitly labelled for executives, managers, or non‑technical business leaders.
• Practical focus: case studies, frameworks for evaluating ROI, and vendor/partner selection guidance.
• Credibility: offered by a recognized business school, university, or experienced industry practitioners.
• Balance of strategy and operational detail: enough technical literacy to ask the right questions and oversee projects, but not heavy coding.
• Live interaction / cohort work: useful for peer learning and networking.
• Time commitment and deliverables: does it fit your schedule, and will you finish with a usable framework (roadmap, pilot plan, ROI template)?

Suggested short learning path for a manager

1. Intro + landscape: 1–4 hours — high-level overview of AI concepts and business examples.
2. Strategy & planning: 1–2 days — frameworks for identifying value, prioritizing use cases, building a data strategy.
3. Governance & risk: 1 day — privacy, compliance, ethics, procurement checklist.
4. Implementation essentials: 1–2 days — vendor evaluation, pilot design, metrics for success.
5. Deepen with case studies or a capstone project (optional): 1–6 weeks.

Next steps

• If you want, I can:
  • Recommend specific current courses from reputable providers based on your industry, time available, and budget (I can look up up‑to‑date offerings), or
  • Suggest a 4–6 week learning plan with concrete resources (free and paid) you can follow immediately.

Which would you prefer?