Interacting with Injective in Natural Language: An AI-powered on-chain Trading Experience
In this course, you'll learn how to build an AI Agent application powered by the Injective blockchain. You'll explore how to interact with the Injective network using natural language commands by integrating the OpenAI API with the Injective SDK. By the end of the course, you will have built a smart agent capable of handling tasks like chat-based interaction, checking wallet balances, and performing token transfers. Along the way, you'll gain hands-on experience with essential components such as project architecture design, configuration management, and client-side command execution. Ultimately, you’ll create an AI-driven on-chain interaction experience that bridges user-friendly dialogue with blockchain functionality.

Language
Python
Total Length
1.7h
Part of Learning Track
Build on Injective + 1
What You’ll Learn
AI-driven Blockchain Interaction:Learn how to build an AI Agent that combines natural language processing with blockchain operations
Wallet Balance Query Implementation:Step-by-step breakdown of how user input is processed into a blockchain query
JSON Schema & Function Calling:Design LLM-friendly function formats using JSON Schema
Blockchain Interaction Architecture:Learn efficient patterns for communicating with the Injective network
Testing & Debugging:Understand multi-layered testing strategies and how to troubleshoot common blockchain development issues
Syllabus
Language
Python
Total Length
1.7h
Part of Learning Track
Build on Injective + 1