According to Andrew Ng (@AndrewYNg), DeepLearning.AI Pro is now generally available, offering a comprehensive membership designed to accelerate AI application development for individuals and teams (source: https://twitter.com/AndrewYNg/status/1983946706564563171). The Pro membership provides full access to over 150 programs, including the new Agentic AI course and recently released Post-Training and PyTorch courses. This initiative responds to the rapid reduction in time-to-market for AI solutions, enabling solo developers to build projects that previously required large teams and months of work. Business opportunities arise from the program’s hands-on labs, practice questions, and certificates, which are aimed at upskilling professionals and fostering innovation in AI product development. Pro members receive early access to new tools, enhancing their ability to create and deploy advanced AI applications, which directly addresses the growing demand for practical AI expertise and accelerates career advancement in the industry (source: DeepLearning.AI official announcement).

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).