Module 6100 minutes•Advanced
Session 5: Production Workflows in AI
Prompt chaining, analytical tools (Deep Research, Code Interpreter), and multi-model evaluation.
Key Learning Outcomes
Chain prompts into resilient multi-stage pipelines.
Use Deep Research and Code Interpreter as pipeline stages.
Evaluate outputs across multiple models and pick winners.
Add monitoring, retries, and fallbacks to production chains.
Sample Section Preview
Prompt Chaining Done Right
Split big jobs into stages with verified handoffs: each stage's output schema is the next stage's input contract. Validate between stages (schema check + spot audit) so errors surface early instead of compounding into a polished-but-wrong final answer.
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