According to AndrewYNg on X, DeepLearning.AI launched a short course on the A2A (Agent2Agent) Protocol, built with Google Cloud and IBM Research and taught by Holt Skinner, Iván Nardini, and Sandi Besen, to standardize communication between AI agents across different frameworks. As reported by AndrewYNg, the course addresses the costly custom integrations typically needed to connect heterogeneous agent systems, offering a repeatable protocol layer for interop and orchestration. According to AndrewYNg, this creates business opportunities for multi‑agent applications—such as enterprise workflows, customer support, and supply chain automations—by reducing integration time, improving reliability, and enabling vendor‑neutral agent ecosystems.

According to DeepLearning.AI, the new short course on A2A: The Agent2Agent Protocol teaches a standardized way for AI agents from different frameworks to discover and communicate without custom glue code, improving interoperability for production agent ecosystems (source: DeepLearning.AI on X). As reported by DeepLearning.AI, A2A was built in collaboration with Google Cloud to align agent messaging, service discovery, and handoff patterns, reducing integration time and operational complexity across heterogeneous stacks (source: DeepLearning.AI on X). According to DeepLearning.AI, this creates business opportunities for scalable agent marketplaces, cross-vendor orchestration, and enterprise workflows that mix proprietary and open-source agents with consistent security and observability (source: DeepLearning.AI on X).