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).