NEOPOLIS AKADEMY
Building Scalable Agentic Systems
Practical approach to designing scalable agent architectures: MCP/A2A interoperability, production testing, observability and resilient deployments, using sequential activities and local media to simulate complex flows.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Scalable agent architecture: patterns for modularity, communication, and scaling.
MCP and A2A interoperability: exchange protocols and designing bridges between agents.
Production testing and observability: integration scenarios, logging, tracing and operational metrics.
Resilient deployment strategies: redundancy, failover and progressive rollouts.
STEP BY STEP
Course programme
01Building Scalable Agentic Systems
Technical approach to designing, developing and deploying scalable agentic systems. Topics include design principles, multi-agent patterns, the Model Context Protocol (MCP) and challenges for large-scale production deployment.
Covers real-world agent characteristics, the agent concept versus non-agent processes, applications, and core design principles for scalable agents.
Discusses multi-agent design patterns, migrating from single-agent to multi-agent architectures, and introduces the Model Context Protocol (MCP).
Addresses scaling to production: moving from proof of concept, reliable testing approaches, remaining verification steps, and fast, efficient data ingestion for production systems.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page