Below is a concise, practical catalogue of AI training options entrepreneurs can use today — grouped by type so you can pick what fits your stage, budget, and goals. I’ve listed notable programs and included a short note about who they suit.

1. Startup accelerators and startup-specific AI programs

• Google for Startups — AI Academy / Accelerators: cohort-based programs, mentorship, product guidance and Google Cloud / Gemini technical support for Seed → Series A AI startups; equity-free. Good if you want hands-on product/GT M support and cloud credits. (startup.Google.com)
• NVIDIA Inception (for startups): free membership that provides technical training, Deep Learning Institute courses, hardware/software offers and VC exposure — strong for teams building compute-heavy ML systems. (NVIDIA.com)
• (Also look for cloud-vendor startup programs) — Google Cloud, AWS Activate, Microsoft for Startups often include credits, training, and technical mentorship tailored to startups (see the vendor accelerator listings on Google for Startups and related pages). (startup.Google.com.ai)

2. Executive / business-focused AI short courses (non-technical; strategy & product)

• MIT Sloan — “Artificial Intelligence: Implications for Business Strategy”: 4–6 week executive-format course focused on business strategy, implementation and generative AI use cases — aimed at managers and founders. Good if you need a grounded, high-level roadmap to adopting AI across a business. (executive.MIT.edu)
• Many business schools (INSEAD, Wharton, Stanford Exec Ed, London Business School) now offer short executive programs on generative AI and AI strategy — suitable for C-levels and product leaders (news coverage notes rising demand). (ft.com)

3. Practical online courses for founders & non‑technical leaders

• DeepLearning.AI / Coursera — “AI For Everyone” and “Generative AI for Everyone” (Andrew Ng): short, non‑technical courses that teach what AI can/can’t do, how to identify opportunities, and how to lead AI projects. Excellent starting point for founders who need fluency without coding. (DeepLearning.AI)
• Coursera/edX/LinkedIn Learning — many modular courses on AI strategy, prompt engineering, and generative AI workflows useful for operator-level skills. (Search by topic and level on the platforms.)

4. Technical & product training (hands‑on)

• NVIDIA Deep Learning Institute (courses and certifications) — hands-on workshops and self‑paced courses for ML engineers and teams building models on GPUs; available to Inception members at discounts or free codes. Useful if you need to upskill engineers or do model prototyping. (NVIDIA.com)
• Udacity Nanodegrees (AI Product Manager, Machine Learning Engineer, Generative AI) — project-based, more technical; good when you want a structured technical ramp for product teams. (Platform pages list current Nanodegrees and syllabi.)

5. Short workshops, local incubators, and community training

• Google for Startups events, local accelerator bootcamps, regional incubators, and community college / Small Business Development Center workshops often run practical AI workshops for entrepreneurs (example: Google Startup School, regional Growth Academy cohorts). These are useful for fast, low-cost, applied learning and networking. (startup.Google.com.ai)

6. How to choose (quick guide)

• If you’re pre-product / idea-stage and need strategy + ethics + vendor choices: start with non-technical courses (AI For Everyone; exec programs). (Coursera.org)
• If you’re building an AI product / prototype: apply to startup programs (Google for Startups, NVIDIA Inception) and use hands-on courses (NVIDIA DLI, Udacity) for engineers. (NVIDIA.com)
• If you’re scaling and need org-level adoption & GTM: executive education and tailored accelerator cohorts that provide GTM mentoring and cloud credits are often most effective. (executive.MIT.edu)

7. Quick actionable next steps

• Take one short non‑technical course this week (e.g., AI For Everyone / Generative AI for Everyone) to get aligned with your co‑founders. (Coursera.org)
• If you have an early prototype or ML team, apply to NVIDIA Inception and the relevant Google for Startups AI Academy or Accelerator cohort to get credits, training, and mentor help. (NVIDIA.com)
• Consider an executive program (MIT Sloan or similar) if you need a formal strategy + certificate for investors or board-level planning. (executive.MIT.edu)

If you want, I can:

• Narrow this to programs available now for companies headquartered in the U.S. (I’ll confirm current application dates and deadlines), or
• Recommend 3–5 specific programs tailored to your startup’s stage, budget, and technical capability.

Which would you like me to do next?