May 16
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#APIs #AIAgents #AIEngineer 🔗 Join the WhatsApp Community https://chat.whatsapp.com/EzBkjz080RZBbevQT1nBa4?mode=gi_t GitHub - https://github.com/Ch-Balaji/AgenticAI_Roadmap_Learning_Assets 📚 Free Resources • Free AI Engineer Roadmap 2026: https://ch-balaji.github.io/ai-engineer-roadmap/ • Agentic AI Playlist: https://youtube.com/playlist?list=PL8qeqP57-QAa048dYOZSvGwdAGqEMFMkc&si=kG9Xvk6tfAoEbkd4 • Roadmap Video: https://youtu.be/Eze6D8jAMjI 🌐 Connect with me • LinkedIn: https://www.linkedin.com/in/balaji-chippada-0317/ • Instagram: https://www.instagram.com/balajichippada You can’t build AI agents without understanding APIs — and in this video we close that gap end-to-end with a real ChatGPT API project. We start with the Swiggy and Zomato analogy you’ll never forget, then move into request and response, status codes, rate limiting, API keys, and how to store them safely. After that we write actual Python code to call the ChatGPT API, parse the JSON response, and switch to the free GROQ API so you can practise without spending a rupee. By the end you’ll know exactly what APIs for AI agents are, why every Agentic AI engineer must master them, and how this one skill becomes the foundation for tool calling, multi-agent orchestration, and everything you’ll build from here. ⏱ Timestamps 00:00 Why Swiggy and Zomato need APIs 02:30 You can’t build AI without this 04:18 Request and response, explained 10:30 Status codes and rate limits 14:30 Why every API needs a key 15:30 Get your free ChatGPT API key 18:00 Where to safely store your API keys 21:30 Calling ChatGPT from Python (live) 28:30 GROQ — the free API for broke developers 33:30 From API call to AI agent