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Building Scalable Agentic Systems
4.8(2,659)17k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
This forward-looking course unpacks the foundational principles required to build enterprise-ready AI agents capable of scaling in production. It introduces the three pillars of agentic scalability—modularity, robustness, and adaptability—while exploring breakthrough interoperability protocols including Anthropic\'s Model Context Protocol (MCP) and Google\'s Agent-to-Agent (A2A) framework.
Who It\'s For
AI engineers, software architects, and product developers seeking to design, test, and deploy resilient multi-agent systems for real-world enterprise applications.
Key Takeaways
- Pillars of Scalability: Implement modular, robust, and adaptable agent architectures designed for production environments.
- Interoperability Protocols: Integrate Anthropic\'s Model Context Protocol (MCP) and Google\'s Agent-to-Agent (A2A) protocol for seamless data and agent connectivity.
- Agent Testing Frameworks: Build testing suites to evaluate component logic, third-party integrations, performance bottlenecks, and security boundaries.
- Deployment Strategies: Select appropriate deployment models and risk mitigation protocols tailored to specific organizational use cases.
About this course
Design and Develop Agents for Scaling
Learn how to design and develop AI agents with scalability in mind, following the three pillars of agentic scalability: modularity, robustness, and adaptability. Discover what makes a successful agent in production, and why so many struggle to get there.Discover the Power of MCP and A2A
The Model Context Protocol (MCP) developed by Anthropic has revolutionized agent interoperability, creating a unified approach for connecting agents to data sources. The Agent-to-Agent protocol (A2A) developed by Google compliments MCP. Find out how these two frameworks can be combined to ensure your agent's integrations are scalable.Implement Agent Testing and Deployment Best Practices
Before pressing the big red button and launching your agent into production, you've got to mitigate the risks that come with scaling. Learn how to create a robust testing framework to capture issues with components, integrations, performance, and security. Decide which deployment type is right for your agent by looking at the needs of the use case.Advertisement