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Title: Build a Multi-Agent Campaign System with ADK and Agent Engine In this video, we solve the PTPPF challenge lab: Build a Multi-Agent Campaign System with ADK and Agent Engine. This advanced lab (PTPPF070) is part of the Partner Technical Presales Proficiency Framework (PTPPF) Program and is intended for technical Googlers and Partners. As a challenge lab, no step-by-step instructions are provided. Instead, this video explains the overall architecture, workflow, and reasoning required to complete the tasks and achieve a passing score. š What This Video Covers ā Designing a multi-agent architecture using Agent Development Kit (ADK) ā Implementing agents using Cloud Run and Agent Engine ā Enabling Agent-to-Agent (A2A) messaging with Model Context Protocol (MCP) ā Fetching demographic data from BigQuery ā Analyzing market trends using Google Cloud Storage and Google Search ā Generating creative text and images using Gemini and Imagen ā Estimating localized budgets using an external currency conversion API ā Aggregating outputs into a structured JSON campaign brief ā Understanding how the automated scoring system validates the solution šÆ Lab Details Lab ID: PTPPF070 Difficulty: Advanced Duration: 2 hours Passing Score: 80% Uses real Google Cloud resources with temporary credentials Disclaimer ā For Educational Purposes Only This video is created solely for educational and training purposes. It is not intended for cheating, bypassing lab requirements, or violating program guidelines. The goal is to help learners understand Google Cloud concepts and Document AI workflows, not to provide unauthorized shortcuts.