Building Production-Grade Retrieval Augmented Generation (RAG) Systems
We developed an interactive learning environment to train engineering teams at a global organisation in RAG systems, ensuring comprehensive technical understanding.
Success Stories
Building Scalable AI Agents at a Global Finance Company
When our financial services client decided to scale their AI solutions, we delivered immersive, practical training to their engineering teams in developing and implementing multi-agent systems.
Client
Financial Service Corporation
Industry
Financial Services
Specialism
AI
The challenge
Our global financial services client has multiple engineering teams building agentic AI solutions using industry-standard protocols such as Model Context Protocol (MCP) and Agent-to-Agent Protocol (A2A). To achieve their business targets and deliver reliable, production-grade solutions, their global engineering population needs to be rapidly upskilled in the latest techniques for building agentic AI systems.
Our solution
We developed a highly practical programme to take experienced engineering teams through the concepts, architecture, and implementations of multi-agent systems.
Participants developed:
• An expert understanding of agent implementations with the Google Agent-Development Kit.
• Real-world practical experience with implementing multi-agent systems, building MCP servers, and using the A2A (agent to agent) protocol.
• Best practices for deploying agents in production environments.
Delivery
Learners participated in a highly interactive learning environment, during which they were tasked with building a production-ready agent based on real-world requirements from their teams.
Key Results
Teams developed expert capabilities in architecting and implementing complex, multi-agent systems
Participants gained hands-on experience with with industry standards such as MCP, A2A, and Google ADK
Programme outcomes
Our programme successfully upskilled engineering teams, ensuring they had a detailed understanding of production-grade patterns for architecting and building complex Agentic AI systems, using industry standards such as MCP and A2A.
Get in touch
Looking into personalised learning solutions for your team? Set up a call with ours today.
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