APIs Explained for AI Engineers | Gemini API Key Setup | Day 7 AI Engineering
Welcome to Day 7 of the 100 Days of AI Engineering series.
In this video, we finally start moving towards practical AI implementation. Before building real AI applications, chatbots, dashboards, and agents, we need to understand one important prerequisite: APIs.
We will understand why Python is important for AI Engineering, how Python connects with AI models like Gemini, ChatGPT, and Claude, and how APIs help us use these models inside our own applications.
In this video, we will cover:
✅ Why Python is important for AI Engineering
✅ How applications connect with AI models
✅ What is an API?
✅ API explanation using restaurant/waiter analogy
✅ Request and response concept
✅ HTTP requests
✅ JSON response format
✅ API keys and authentication
✅ Rate limiting
✅ GET, POST, PUT, PATCH, DELETE methods
✅ Real-world APIs like weather, news, cricket score, and stock data
✅ How to generate a Gemini API key using Google AI Studio
From the next video, we will start using Python to call the Gemini API and build real AI applications.
This video is part of the 100 Days of AI Engineering series, where we are learning how to build real-world AI systems from scratch.
Subscribe and continue your AI Engineering journey.
#aiengineering #apis #python #geminiapi #googleaistudio #genai #artificialintelligence