About the Instructor
DeepLearning.AI (Andrew Ng)
DeepLearning.AI produces short courses co-created with Anthropic, OpenAI, LangChain, and AWS engineers who built the tools. 5M+ learners globally.
First Principles
AI applications are built by combining three primitives: LLM inference, tool use (function calling), and memory (retrieval). Each short course teaches one of these primitives with production-ready code examples.
AI Ecosystem Fit
Layer 5 (Applications) — These short courses bridge the gap between understanding models (Layer 4) and shipping real applications (Layer 5). Each one adds a specific capability to your agent toolkit.
Prerequisites
What Paid Projects This Unlocks
Build document intelligence agents: enterprise Q&A systems, multi-document summarizers, function-calling pipelines.
3 Client Projects You Can Get Paid For
Real businesses have this problem right now. Build it, pitch it, charge for it.
Stack This With → (Unlocks Higher-Paying Projects)
Apply each technique to a real client project
Combine multiple primitives (RAG + function calling + memory)
Deploy to production with observability
Why This Matters
These courses are co-built with the companies that created the tools. You learn best practices directly from the source — not adapted tutorials.