Published objectives Objective Revision topic 1.1 · ML workspace resources 01 Reproducible ML infrastructure 1.2 · Versioned ML assets 01 Reproducible ML infrastructure 1.3 · Infrastructure as code 01 Reproducible ML infrastructure 2.1 · Training orchestration 02 Train, register and deploy models 2.2 · Registration and versioning 02 Train, register and deploy models 2.3 · Production model deployment 02 Train, register and deploy models 2.4 · Production ML monitoring 03 Monitor traditional ML in production 3.1 · Foundry infrastructure 04 Foundry infrastructure and prompt lifecycle 3.2 · Foundation model deployment 04 Foundry infrastructure and prompt lifecycle 3.3 · Prompt lifecycle 04 Foundry infrastructure and prompt lifecycle 4.1 · Generative evaluation 05 Evaluate and optimize generative systems 4.2 · Generative observability 05 Evaluate and optimize generative systems 5.1 · RAG optimization 05 Evaluate and optimize generative systems 5.2 · Fine-tuning and customization 05 Evaluate and optimize generative systems
