Agentic AI with Functions and Storage: Core Concepts is a comprehensive online course designed to help learners understand the essential building blocks of modern AI agents. As AI systems become increasingly autonomous, mastering how agents interact with functions, external tools, and persistent storage is crucial for developing intelligent, context-aware applications.
This course introduces the core concepts behind Agentic AI, including function calling, tool integration, memory management, structured data handling, and persistent storage techniques. You will learn how AI agents make decisions, execute tasks through external functions, retain information across conversations, and manage long-term memory using databases and vector stores. Through practical examples and hands-on exercises, you will gain the knowledge needed to build reliable, scalable, and production-ready AI applications.
The curriculum covers topics such as AI agent architecture, function calling workflows, structured outputs, prompt engineering for tool usage, short-term and long-term memory, vector databases, embeddings, retrieval mechanisms, state management, and storage strategies for autonomous agents. You will also explore best practices for designing efficient AI workflows, improving agent reliability, and integrating storage solutions into real-world applications.
