Neopolis Akademy · Free AI training

Building 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.

Concevoir des systèmes agentiques évolutifs

Course overview

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.

3lessons
3lessons
19activities
9exercises
10videos

Skills and topics covered

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