Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Construct a multi-agent research system with four specialized agents — Scientist, Librarian, Analyst, and Writer — that collaborate on source discovery, analysis, and paper generation with complete Python code.
Design agent teams that improve collectively through experience sharing, collective memory, skill transfer, and performance benchmarking. Includes Python implementations for experience replay and cross-agent learning.
Build an end-to-end code generation pipeline using five specialized AI agents — Planner, Coder, Reviewer, Tester, and Deployer — with complete handoff data structures and orchestration logic in Python.
Learn how to take text-to-SQL from prototype to production with query caching, usage analytics, performance monitoring, cost optimization, and scaling strategies for high-traffic deployments.
Build an AI-powered testing agent that performs exploratory testing, automatically generates test cases, classifies discovered bugs, and produces structured reports for development teams.
Build an AI-powered competitive intelligence agent that monitors competitor websites, detects meaningful changes, performs content diffing with sentiment analysis, generates alerts, and displays insights on a dashboard.
Build a visual question answering agent that understands images, routes questions to specialized analysis modules, performs multi-modal reasoning, and generates accurate natural language answers about any image content.
Understand how to evaluate text-to-SQL systems using the Spider and BIRD benchmarks, implement execution accuracy metrics, and build custom evaluation datasets for your specific database schema.
