According to Andrew Ng (@AndrewYNg), the new Agentic AI course on deeplearning.ai teaches practical skills for building AI agents, a rapidly growing area in the job market. The curriculum covers four essential agentic design patterns: reflection for self-improvement, tool use for function execution, planning for task decomposition, and multi-agent collaboration for complex workflows. The course emphasizes disciplined evaluation and error analysis, enabling learners to identify and improve critical workflow components based on data. Delivered in raw Python and vendor-neutral, this program addresses the industry's need for engineers capable of developing and optimizing advanced agentic AI systems, presenting a valuable business opportunity for professionals and organizations adopting AI agents (Source: Andrew Ng, Twitter, Oct 7, 2025).