Foundations of Open Generative AI Engineering

The Foundations of Open Generative AI Engineering course introduces learners to the principles, architectures, and trade-offs that define the open generative AI landscape. Starting with the distinctions between open source, open weights, and open access models, learners explore different licensing frameworks—including MIT, Apache, and CreativeML Open RAIL-M—and their implications for commercial use, attribution, and compliance. The course then covers the core architectures of open large language models (LLMs) such as Llama, Mistral, and Mixtral, alongside diffusion models used for image gene…