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OpenAI Agents SDK Level 2 Exam Prep (Part 1) | Core Principles & Architecture Explained + MCQs

Welcome to CodeVerseSoban! 🎉

Today, we officially start the OpenAI Agents SDK Level 2 Exam Preparation Series.
In this Part 1, I will cover the Core Principles and Architecture of the OpenAI Agents SDK in complete depth, along with inner workings, real-world use cases, and step-by-step explanations.

To help you practice better, I’ve also created a dedicated MCQs PDF 📘 which you can download from the link below.

📌 Download MCQs PDF for Practice

👉 OpenAI Agents SDK Level 2 – MCQs PDF
https://drive.google.com/file/d/1OKSeezh0syUYWXAzqmEvb8ZX6JEZpyBu/view

🚀 What You’ll Learn in This Video:

🔹 Core principles of the OpenAI Agents SDK
🔹 Detailed breakdown of the SDK architecture
🔹 How Agents, Runners, Tools, Hooks, Guardrails, Context & Streaming connect together
🔹 The role of Prompt Engineering & Model Settings in SDK
🔹 Real-world scenarios of using Agents in AI-powered apps
🔹 Level 2 MCQs practice session for better exam prep

📢 Why This Series Is Important?

This series is specially designed for those preparing for OpenAI Agents SDK Level 2 Exam. By the end of this playlist, you’ll be fully equipped with:
✅ Strong conceptual knowledge
✅ Hands-on coding practice
✅ MCQs preparation for exam success
✅ A complete roadmap to crack Panaverse certifications

📌 Important Links

🔗 OpenAI Agents SDK Docs: https://openai.github.io/openai-agents-python/

🔗 CodeVerseSoban Channel: http://www.youtube.com/@CodeVerseSoban

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