Developer Builds GenAI Agents Using RAG, MCP, and BigQuery at Google APAC Academy

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A developer recently completed Google Gen AI APAC Academy Cohort 3, a hands-on program focused on building and deploying Generative AI agents on Google Cloud. Across three tracks, they built a customer-facing Coffee Barista agent using Retrieval-Augmented Generation (RAG) and Cloud Run, a Data Analytics Agent powered by Gemma 4 and BigQuery via Model Context Protocol (MCP), and a Coffee Shop Manager Productivity Assistant. The program emphasized practical, production-oriented workflows rather than simple prompt experimentation. Key takeaways included how RAG grounds AI responses in domain-specific knowledge and how MCP enables structured interaction between AI models and external tools. The experience highlighted that AI agents become significantly more capable when integrated with relevant data sources, tools, and real-world application logic.

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