Applied AI

Artificial intelligence becomes most useful when applied. These lessons show how she is connected to tools, data, and workflows.

• Function calling – Connecting models to your own functions and APIs.
• Structured outputs – Enforcing schemas for JSON responses.
• Chaining AI models – Orchestration with LangChain.
• Vector databases – Pinecone, Weaviate, FAISS basics.
• Files API – Managing training data and assets for AI workflows.
• Batch API – Cost-efficient offline inference at scale.
• Fine-tuning with OpenAI – Adapting base models to task-specific data.
• Synthetic data generation – Using AI to generate training data for other models.