The Best AI Courses to Buy With Your Professional Development Stipend
Every industry is being reshaped by AI — and your professional development stipend is the perfect way to keep up. Whether you want foundational machine learning knowledge or practical skills with LLMs and generative AI, these are the AI courses we recommend in 2026.
Top Picks
What to Look For
- Andrew Ng's DeepLearning.AI specializations on Coursera are the gold standard for structured learning.
- For practical LLM work, look at courses that include hands-on projects with OpenAI, Anthropic, or open-source models.
- Don't skip the math — a refresher on linear algebra and statistics makes everything else click faster.
- Balance theory and application — course + building a small project beats course alone every time.
Frequently Asked Questions
Andrew Ng's "AI for Everyone" on Coursera for non-technical background, and his "Machine Learning Specialization" for technical learners.
Yes. AI and machine learning courses are in high demand and commonly approved under professional development stipends.
No. Many applied AI/ML roles (prompt engineering, LLM integration, data science) only require strong software skills and a solid grasp of fundamentals.
Coursera is better for foundational theory. Fast.ai is better for top-down practical deep learning. Many learners benefit from doing both.