AILearn Grid
CoursesConferencesLearnBlogAbout
Ask about Foundations
Stay close

One careful email a week. No hype.

The best new AI courses, the conferences worth your time, and the occasional sharp essay. Unsubscribe in one click.

Discover

  • Courses
  • Conferences
  • Learn with AI Learn Grid
  • Blog

Company

  • About
  • Contact
  • Promote your event

Legal

  • Privacy
  • Terms
  • Affiliate disclosure
AILearn Grid

© 2026 AI Learn Grid · Operated by Team Taniv

Independent directory. Not affiliated with listed providers unless clearly stated. Provider names and trademarks belong to their owners.

Affiliate disclosure
All courses
DeepLearning.AIIntermediateFeatured

Deep Learning Specialization

Andrew Ng's foundational five-course series on neural networks, sequence models, and structuring ML projects.

Duration90+ hours
Price$49
FormatVideo
LevelIntermediate

What you'll learn

  • Build and train deep neural networks from scratch
  • Implement convolutional networks for image tasks
  • Apply recurrent networks and transformers to sequence data
  • Structure ML projects to avoid common pitfalls
  • Read and reproduce results from research papers

About this course

The single most cited entry point to deep learning. Andrew Ng walks you through the math, the intuition, and the engineering of modern neural networks. By the end you'll understand convolutional networks for vision, recurrent networks for sequences, and how to structure ML projects so they actually ship. Honest assessment: dense, occasionally dated on the very newest models, but unmatched for foundational understanding.

Prerequisites

Comfortable with Python and basic linear algebra. No prior ML required.

Topics

Machine LearningGenerative AI

Visit this course

$49

90+ hours·Video

Visit course site

Independent listing. AI Learn Grid is not affiliated with DeepLearning.AI and does not sell this course. You leave our site and their terms, pricing, and privacy policy apply. Some links may become affiliate links later; learn more.

Related courses

See all
CourseraBeginner

Generative AI for Everyone

A non-technical introduction to how generative AI works and where it can move the needle in your work.

6 hoursFree
StanfordAdvanced

Convolutional Neural Networks for Visual Recognition

Stanford's legendary CS231n. The deep learning canon for computer vision, freely available.

80+ hoursFree
CourseraBeginner

Machine Learning Specialization

The most popular entry-level ML course on the internet, rebuilt for 2024 by Andrew Ng. Linear regression to neural networks.

60+ hours$49