Editorial course preview
What the public course preview actually shows
These 4 complementary views highlight concrete, legible examples from the course presentation.
This educational slide outlines key learning objectives for generative AI, including prompt engineering, hyperparameter tuning, and local model deployment.
This diagram illustrates the architecture for building generative AI applications using Python and LangChain, highlighting key capabilities like memory and agents.
This slide illustrates the architecture of a generative AI HR assistant, demonstrating how system instructions and external data sources like APIs are integrated into the prompt.
This slide outlines key topics including an inside look at LLMs, popular workflow tools like n8n and Cursor, and the concept of running models on edge devices.
