Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
DeepLearning.AIdeeplearning.aiDeepLearning.AI is an AI education platform founded by Andrew Ng that offers courses, specializations, and professional certificates to help learners build foundational and applied ML/AI skills. Its catalog includes AI coding, prompt engineering, generative AI, LangChain, multi-agent systems, and partner courses with institutions like Stanford Online and companies like JetBrains and Cerebras. The site also provides news, blogs, community forums, events, and The Batch, a weekly AI newsletter, to keep learners informed about AI trends and developments.
Tone of voice
69% of how AI describes DeepLearning.AI reads positive.
Words AI uses
AI reaches for short course · structured · curated when it describes DeepLearning.AI.
Sources
deeplearning.ai shapes more of what AI says about DeepLearning.AI than any other source, at 33% of its citations.
coursera.org · youtube.com · reddit.com · deepset.ai
The market map
Tech Career Bootcamps & Certifications →Excerpts where DeepLearning.AI appeared in the AI's answer
DeepLearning.AI - Data Storytelling (via Coursera) : A top-rated beginner course
Excerpts where DeepLearning.AI appeared in the AI's answer
DeepLearning.AI Data Engineering Professional Certificate (on Coursera)
Excerpts where DeepLearning.AI appeared in the AI's answer
DeepLearning.AI : Provides highly targeted short courses, including Pair Programming with a Large Language Model and AI Coding Workflows: From Cloud to Local .
DeepLearning.AI — best if you're trying to teach the actual behavior of AI pair programming.
Excerpts where DeepLearning.AI appeared in the AI's answer
DeepLearning.AI via Coursera (Machine Learning Specialization) : Best for mastering core modeling math with practical implementation.
DeepLearning.AI (Coursera): Their Machine Learning Specialization and Mathematics for Machine Learning and Data Science Specialization are top-tier for understanding the 'why' behind the models, combined with practical Python application.
