DeepLearning.AI launches Context Engineering course for AI agent builders

DeepLearning.AI has launched a Context Engineering course that teaches developers to build reliable, token-efficient AI agents by managing what the model sees.

The course is taught with Chroma CEO Jeff Huber and Drew Breunig, according to a report by X user meng shao. It has four modules covering agentic search, context management and agentic memory, with Python labs that use traces and evals to measure each change.

The course targets people building AI agents who have intermediate Python skills and basic LLM app experience. Per the report, it teaches managing context rather than relying on larger context windows or rewriting prompts.