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Learn to build AI agents from scratch in this comprehensive 45-minute tutorial that covers everything from fundamental concepts to hands-on implementation. Start by understanding what AI agents are and exploring their real-world use cases across various industries. Dive deep into the essential components that make up AI agents, including their architecture and core functionalities. Master AI agent workflows and implementation strategies through structured learning modules that include interactive quizzes to test your understanding. Discover advanced prompt engineering techniques specifically designed for AI agents to optimize their performance and reliability. Get practical experience through four detailed demonstrations: build a Customer Support AI Agent using n8n, create a News Aggregator AI Agent, develop a Daily Expenses Tracker AI Agent, and construct a Financial Research AI Agent using OpenAI's Agents SDK. Conclude by learning strategic decision-making processes for determining which types of AI agents to build based on specific needs and use cases. Access additional resources including links to OpenAI components documentation, Anthropic's building AI agents guide, and a financial agent GitHub repository to support your learning journey.
