AI Agent Development with TypeScript and JavaScript

Modern software is shifting from static applications to dynamic AI-driven agents that can reason, plan, and execute tasks independently. This course provides a clear path for developers to transition into the world of agentic workflows using the languages they already know. You will learn to architect and implement autonomous agents that leverage large language models to perform multi-step operations and interact with external tools. By reading through detailed explanations and studying practical code implementations, you will understand how to give your applications the power of reasoning. What you'll learn: - Understand the core architecture of autonomous AI agents and their decision-making loops - Implement tool-calling and function-calling patterns using TypeScript for type-safe execution - Apply Retrieval-Augmented Generation (RAG) to provide agents with contextual knowledge from external data - Manage agent state and persistent memory using modern data structures and vector databases - Build multi-agent systems where specialized agents collaborate to solve complex problems - Practice handling asynchronous operations and API integrations with robust error handling The course begins with foundational definitions of agentic behavior and core terminology before progressing into the logic of planning, memory management, and tool integration. You will study written examples that demonstrate how to structure agent logic for reliability and scale. This course is designed for beginners who have a basic grasp of JavaScript or TypeScript and want to explore AI development. No prior experience with artificial intelligence or machine learning is required. Start building your first intelligent agent today.