OpenAI API Tutorial: Tokenizers & Response Explained!

Description

In this step-by-step tutorial, Dr. Ryan Ahmed explains how OpenAI’s API handles responses and tokens. You’ll learn how to calculate, optimize, and monitor token usage to save costs and improve performance in your AI applications. What you’ll learn: ✅What tokens are and how they’re counted in the OpenAI API ✅The difference between prompt, completion, and total tokens ✅How to estimate API costs and optimize requests ✅A live demo with the OpenAI API showing token usage in real time Perfect for developers, data scientists, and AI enthusiasts who want to understand how OpenAI models really work under the hood. 🔥Master LLM Engineering & AI Agents: https://www.udemy.com/course/become-an-llm-agentic-ai-engineer-14-day-bootcamp-2025/?couponCode=YOUTUBE_SEP 🚀Learn AI Project Lifecycle: https://www.udemy.com/course/ai-project-lifecycle-mastery-strategy-to-deployment/?couponCode=AILIFECYCLE_OCT 🚀Learn CoPilot and AI Agents: https://www.udemy.com/course/microsoft-copilot-365-ai-agents-for-business-bootcamp-2025/?couponCode=YOUTUBE_SEP 🎓Enroll in the Agentic AI Engineering Bootcamp: https://www.udemy.com/course/become-an-ai-agent-workflow-automation-engineer/?couponCode=AGENTICAI_YOUTUBE 🤖Master Generative AI and AI agents: https://www.udemy.com/course/generative-ai-chatgpt-copilot-agents-for-business-2025/?couponCode=YOUTUBE_SEP 👉Join our AI Community: https://www.skool.com/ai-made-simple-by-drryanahmed Thanks and Happy Learning!