AI Engineering & Practical LLM Prompting

Course Overview & Learning Outcomes

Bridge the gap between raw machine learning APIs and real software applications. Master few-shot prompt engineering, function calling / tool orchestration, response parsing, and error-resilient streaming.

• Implement deterministic JSON output schemas from LLMs.
• Design multi-step agent tool calling loops.
• Handle token limit budgeting and latency optimization.
• Build evaluation test suites for AI prompt regressions.