AI educator

Andrew Ng

DeepLearning.AI Short Courses

Structured, practical courses from prompt engineering through agentic workflows.

Start with: Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course.

Videos

Educator videos are listed first. Similar videos are labelled and included when they cover the same skills or adjacent topics.

Full AI Prompting Course with Andrew Ng

Educator video

DeepLearning.AI · prompting, ai literacy, workflows

Learn to build effective Agentic AI systems

Educator video

DeepLearning.AI · agents, agentic ai, ai engineering

AI for Everyone

Educator video

DeepLearning.AI · ai literacy, strategy, foundations

ChatGPT Prompt Engineering for Developers

Educator video

DeepLearning.AI · prompting, developers, api

Agents for everything else

Similar video

AI Engineer · agents, ai engineering, developer tools, automation

LangGraph introduction

Similar video

LangChain · agents, langgraph, llm orchestration, rag

Hugging Face agents course

Similar video

Hugging Face · agents, open models, tools, transformers

Machine learning crash course

Similar video

Google for Developers · ml foundations, classification, neural networks, foundations

RAG and LlamaIndex

Similar video

LlamaIndex · rag, documents, agents, context augmentation

Vector search and Weaviate

Similar video

Weaviate · vector search, rag, embeddings, hybrid search

Pinecone semantic search

Similar video

Pinecone · vector databases, rag, embeddings, search

StatQuest neural networks

Similar video

StatQuest · neural networks, statistics, foundations, ml foundations

Claude AI fluency

Similar video

Anthropic · claude, prompting, ai literacy, workflows

ML Zoomcamp supervised learning

Similar video

DataTalks.Club · ml engineering, data engineering, ml foundations, deployment

Skills

Learner questions

Who should learn from Andrew Ng?

Everyone from beginners to builders should start here when they need prompting, agents, rag, and ml foundations. The strongest fit is a learner who wants material in these formats: short courses, specializations.

What should I do first?

Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.

What problem does this help with?

Structured, practical courses from prompt engineering through agentic workflows. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.

How do I compare this with other educators?

Compare the skill coverage, the starting recommendation, and the related videos. If you need prompting, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.

Related resources

Resource	Kind	Level	Use when
ChatGPT Prompt Engineering for Developers DeepLearning.AI	Short course	Beginner	You want a short, structured intro to prompting for software tasks.
OpenAI Cookbook OpenAI	GitHub repo	Beginner to advanced	You need implementation examples rather than theory.
Microsoft AI Agents for Beginners Microsoft	GitHub repo	Beginner to intermediate	You want a structured agent learning path with code.
Learn Prompting Sander Schulhoff	Guide	Beginner to intermediate	You need a broad prompt engineering reference.
Prompt Engineering Guide DAIR.AI	Guide	Beginner to advanced	You want examples of prompting techniques and patterns.
Hugging Face Agents Course Hugging Face	Free course	Beginner to intermediate	You want a hands-on agent course that uses open-source tools.
Anthropic Prompt Engineering Overview Anthropic	Guide	Beginner to intermediate	You are building with Claude and want official prompting guidance.
Google Machine Learning Crash Course Google for Developers	Free course	Beginner	You need practical ML vocabulary before deeper AI engineering.
LangGraph Academy LangChain	Free course	Intermediate	You want to build multi-step agent workflows with state.
LlamaIndex Docs LlamaIndex	Docs and examples	Intermediate	You need to connect LLMs to documents, data, and retrieval.