My Reflection on Advanced AI Agent Program held November 10 - 14, 2025,

I am pleased to report the successful completion of the 5-Day Advanced AI Agent Program held November 10 - 14, 2025,. This intensive training provided a deep dive into the architecture, development, and deployment of autonomous AI agents using the Google technology stack (Gemini, Agent Development Kit) .
The curriculum was comprehensive, moving effectively from foundational theory to production-grade deployment. This report outlines the key learning outcomes, technical competencies acquired, and the strategic value this training has added to my professional capabilities.

1. Program Overview • Program Title: 5-Day Advanced AI Agent Program • Focus Areas: Generative AI, Agentic Workflows, Interoperability, Production Engineering. • Key Technologies: Google Gemini, ADK (Agent Development Kit), MCP (Model Context Protocol), A2A (Agent-to-Agent) Protocol, Vertex AI. • Methodology: Theory, architectural design, and hands-on codelabs (Kaggle).
2. Detailed Learning Outcomes The program was structured into five distinct modules, each building upon the last to create a holistic understanding of agentic systems. Day 1: Foundations & Multi-Agent Architecture • Objective: Establishing the groundwork for agent capabilities and operations. • Key Takeaways: Gained a solid understanding of the taxonomy of agent capabilities and Agent Ops (reliability, governance, and security). • Practical Application: Successfully built an initial AI Agent using Gemini and ADK, including the implementation of a multi-agent system integrated with Google Search. Day 2: Tooling, Interoperability & MCP • Objective: Enabling agents to interact with the external world. • Key Takeaways: Learned to design external tools for real-time actions and custom Python tool functions. • Practical Application: Mastered the Model Context Protocol (MCP) for interoperability and implemented complex workflows involving long-running operations and human-in-the-loop (approval) flows. Day 3: Context Engineering (Memory & State) • Objective: Managing conversation state and long-term data retention. • Key Takeaways: Deepened knowledge of context windows, session histories, and working memory management. • Practical Application: Built stateful agents capable of coherent multi-turn conversations and implemented long-term memory to ensure personalized and consistent agent behavior across different sessions. Day 4: Quality Assurance, Evaluation & Observability • Objective: Ensuring agent reliability and correctness. • Key Takeaways: Focused on observability fundamentals, including Logs, Traces, and Metrics. • Practical Application: Applied "LLM-as-a-Judge" frameworks and score-based evaluations to debug decision-making processes and assess tool usage accuracy. Day 5: Prototype to Production & Scaling • Objective: Deploying enterprise-ready agent teams. • Key Takeaways: Explored production-grade architectures and best practices for cloud deployment via the Vertex AI Agent Engine. • Practical Application: Orchestrated agent teams using the A2A (Agent-to-Agent) Protocol and successfully transitioned a complete agent from a local development environment to a cloud production environment.
3. Strategic Impact & Future Application This training has significantly upskilled my ability to design and deploy enterprise-scale AI systems. Specifically, I am now equipped to: • Architect Complex Workflows: Design systems where multiple agents coordinate via A2A protocols to solve complex problems. • Ensure Reliability: Implement robust evaluation frameworks to ensure agents perform safely and accurately in production. • Drive Automation: Apply these learnings to real-world scenarios, particularly in the fields of automation, e-governance, and multi-agent orchestration.
4. Conclusion I would like to extend my gratitude to Google for delivering high-quality, hands-on instruction. The blend of theoretical knowledge regarding the Agent Development Kit (ADK) and practical execution via Kaggle codelabs was highly effective. I look forward to applying these advanced concepts to drive innovation in our upcoming projects.