According to Andrew Ng, a new course on the Agent Communication Protocol (ACP) enables developers to build AI agents that can communicate and collaborate across different frameworks. The course, developed in partnership with IBM Research's BeeAI and taught by AI Research Engineer Sandi Besen, focuses on practical skills for implementing ACP in real-world scenarios. This training addresses a growing need for interoperability in multi-agent systems and presents significant business opportunities for organizations looking to integrate diverse AI technologies seamlessly. Source: Andrew Ng on Twitter.

According to DeepLearning.AI, the new short course on ACP: Agent Communication Protocol addresses a major challenge in building multi-agent AI systems by providing a standardized method for agent communication. Traditionally, teams have faced significant obstacles when integrating agents across different frameworks, often requiring custom integrations and frequent refactoring with each system update. ACP streamlines this process by offering a universal protocol that simplifies agent interoperability, reducing development time and costs. This standardization presents significant business opportunities for enterprises aiming to deploy scalable, cross-platform AI solutions while ensuring future-proofing and easier maintenance (source: DeepLearning.AI, Twitter, June 25, 2025).