This advanced OpenAI Codex and Agent Engineering course is designed for software developers, AI engineers, and technical professionals who want to build intelligent agent-driven workflows for real-world engineering tasks. The course explores how modern AI systems can move beyond simple coding assistance to perform planning, execution, automation, and complex problem-solving across software projects.

Students will learn how to use Codex and OpenAI APIs to accelerate development, automate engineering workflows, and build AI-powered systems capable of handling entire tasks from start to finish. The curriculum covers agent architecture, tool integration, hosted execution environments, skills-based automation, websocket communication, and large-context reasoning with modern GPT models.

The course also introduces practical frameworks for evaluating and improving agent performance, including methodologies for measuring reliability, transparency, and effectiveness in production environments. Learners will explore Harness Engineering principles that help create stable and scalable AI workflows suitable for enterprise applications.

Real-world case studies demonstrate how organizations use AI agents to ship features faster, reduce manual effort, and improve engineering productivity. By the end of the course, students will be able to design, build, evaluate, and deploy sophisticated AI agents capable of supporting software development, automation, and intelligent business processes.