How to create Open-AI (ChatGPT) API Key and Secrets? (Langchain Series Ep.4)

🔑 Episode 4 of the LangChain PDF.ai Clone Series
In this video, I’ll walk you through the step-by-step process of creating your OpenAI account and generating your API key, which is essential to integrate OpenAI’s powerful language models like ChatGPT into your projects.

You’ll learn:

- How to sign up for OpenAI
- Where to find and generate your API key
- Important tips for securing and managing your API key
- How to test if your API key works

This is a crucial step before we dive deeper into building our PDF.ai clone using LangChain.

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🚀 Build Real AI Apps with LangChain & ChatGPT – From Scratch to Production!
Welcome to the most comprehensive and up-to-date LangChain + ChatGPT masterclass available online. Whether you're an aspiring AI developer or a seasoned engineer looking to break into LLM-powered apps, this course is designed to take you from zero to production-ready — fast.

This isn’t just another “prompt engineering” course.
You’ll go far beyond basic ChatGPT use cases and learn how modern companies are using large language models (LLMs) to power intelligent, responsive apps — at scale.

🔍 What Makes This Course Different?
Most tutorials stop at basic examples. This course is about real-world engineering:

- Design scalable pipelines that combine ChatGPT with external data
- Apply Retrieval-Augmented Generation (RAG) with vector databases like Pinecone & ChromaDB
- Enable semantic search, chat memory, and intelligent context handling
- Stream responses, log user interactions, and apply feedback loops to improve AI output
- Use tools like Celery, Redis, and tracing tools for production-grade performance

🛠️ What You'll Build
We'll start simple and grow fast.

- PDF upload
- Vector indexing
- Semantic search
- Contextual chat
- Real-time streaming
- User feedback tracking

You’ll learn how it works and why it works, step by step — no prior web dev experience required.

🧠 What You'll Learn
- Programmatically use ChatGPT 4 via API
- Chain reusable LangChain components to build complex behavior
- Store and retrieve context using conversational memory
- Create retrievers and rankers for better RAG pipelines
- Add observability and user interaction analytics
- Enhance outputs with upvote/downvote-based feedback loops
- Build agents and tools to give ChatGPT real-world access
- Use OpenAI plugins for database interaction, code execution, and more
- Integrate Redis & Celery for distributed processing

✅ By the End of This Course...
You'll not only understand the "how", but also the "why" behind every line of code — empowering you to build your own production-grade AI features with confidence.

👩‍💻 Who This Course is For
- Software developers who want to integrate AI into their apps
- Engineers exploring how to build with LangChain and ChatGPT
- Anyone serious about learning how AI is being used in real products today

📚 Requirements
Basic Python programming experience — that’s it!

This course is designed to give you practical, industry-level skills — no fluff, no filler. If you’re ready to go beyond prompts and start building AI that actually works, this is the course for you.