Building AI Applications

A hands-on course covering how to build production AI applications — from working with AI APIs and managing tokens and costs, through embeddings, RAG pipelines, prompt engineering, function calling, and agents with memory, to evaluation, testing, and deployment best practices.

What you'll cover

• Setting Up Your AI Development Environment
• Working with AI APIs
• Tokens, Costs & Rate Limits
• Embeddings & Vector Databases
• Building a RAG Pipeline
• Prompt Templating & Output Parsing