DeepLearning.AI

DeepLearning.AI provides online education in artificial intelligence and machine learning.

: 2017
: Palo Alto, CA, US

Library

deeplearning.aiCrawled Oct 14, 2026

Blog

7 pages

Adrián Munguía/blog/from-astrophysics-to-ai-why-luciano-darriba-made-the-switch
The Deep Learning Specialization is a foundational online program by Andrew Ng.
Blog/blog
The DeepLearning.AI blog features insights, explorations, and success stories from its extended community of AI experts and learners.
Engineering Multi-Agent Systems: A Path from Prototype to Production/blog/engineering-multi-agent-systems-a-path-from-prototype-to-production
CrewAI provides a practical playbook for building production-ready AI agent teams that plan, collaborate, and automate complex workflows.
From coding in a notebook to a clickable demo: a practical playbook for GenAI fast prototyping/blog/a-practical-playbook-for-genai-fast-prototyping
The playbook outlines a general approach to turning an idea into a demo, including for people new to these tools.

Careers & Hiring

1 page

Careers/careers
DeepLearning.AI works to make AI education accessible worldwide.

About

1 page

About/about
DeepLearning.AI is an education technology company that offers education, hands-on training, and a collaborative community to help the global workforce build an AI-powered future.

Contact

1 page

Contact/contact
Contact DeepLearning.AI for feedback/questions about online courses, speaking engagements (for Andrew Ng), press interview or any other request.

Homepage

1 page

Homepage/
DeepLearning.AI offers online courses through which more than 7 million people learn to use and build AI, with certifications available.

Privacy

1 page

Privacy/privacy
Privacy Policy of DeepLearning.AI

Coverage

8 items

https-deeplearning-aigithub.com/https-deeplearning-ai
GitHubRepository owner
Hybrid and Local AI course at DeepLearning.AIblog.jetbrains.com/pycharm/2026/08/hybrid-and-local-ai-course-at-deeplearning-ai/
DeepLearning.AI launches a new course taught by Andrew Ng and Paul Everitt focusing on building hybrid and local AI development setups. The course integrates JetBrains PyCharm with open-weight models to optimize speed and cost efficiency for developers. It targets agentic workflows in local environments.
Aug 2026The JetBrains BlogNews article
Fast & Efficient LLM Inference with vLLM: A New Course with DeepLearning.AIvllm.ai/blog/2026-06-03-deeplearning-ai-vllm-course
DeepLearning.AI introduces a new course on optimizing and deploying large language model (LLM) inference using **vLLM**. The curriculum covers techniques like **LLM Compressor quantization**, **GuideLLM**, and **KV cache sizing** to improve efficiency. The course targets developers and engineers seeking to benchmark and enhance LLM performance in production environments.
Jun 2026vllm.aiNews article
Learn to optimize, deploy, and benchmark LLMs with vLLM: A New Free Coursedevelopers.redhat.com/blog/2026/06/03/learn-optimize-deploy-and-benchmark-llms-vllm-new-free-course
Red Hat and DeepLearning.AI launched a free course teaching developers how to optimize, deploy, and benchmark large language models (LLMs) using **vLLM**, an open-source project. The curriculum covers compressing models with **LLM Compressor**, serving them efficiently with **vLLM**, and evaluating performance via **GuideLLM**. Participants gain hands-on experience with the full LLM inference lifecycle.
Jun 2026Red Hat DeveloperNews article