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Pydantic + FastAPI Tutorial: Data Models & Input Validation (Ep 2) | Prompt to Prod
🛠️ Give Your LLM Real Tools | Function Calling & Tool Schema in Agentic AI (Lab 3)
Extract Job Data from Any Site - cURL + Python + OpenAI
OpenAI Structured Outputs + Pydantic: Type-Safe JSON from Any LLM Call
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Last Updated: September 29, 2026
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LLMs are increasingly being used to take actions, In this video, we dive further into the Alongside my career in software testing, I'm learning AI engineering by building a real project, from prompt to production: an AI ... Full Course HERE community.superdatascience.com/c/agentic-ai-1-fundamentals In this hands-on lesson, we move ... Free guide with the full code: dynamikapps.com/video-tutorials/?v=extract-job-data- Lecture 18 covers structured output — how to get an LLM to respond in a predictable format ( Never write API documentation by hand again. Let In this video, we'll be learning how to use Stop Writing Prompts for Structured Data (Lesson Relying on prompt engineering alone—such as adding "Respond ONLY in ... In Episode 11 we'll explore how to represent complex
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