Application Security & DevSecOps | MS in Cybersecurity | Ex-Cognizant, Ex-Motorola | Python Automation & CI/CD Security | CompTIA Security+ - CySA+
𝐃𝐚𝐲 𝟑 & 𝟒 𝐨𝐟 𝟓 – 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐈𝐧𝐭𝐞𝐧𝐬𝐢𝐯𝐞 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐆𝐨𝐨𝐠𝐥𝐞 Progressing through the intensive program, the last two days focused on two major pillars of building robust AI agents: Context Engineering and Agent Quality. Day 3 explored how to make agents stateful using Sessions and Memory, enabling them to maintain context, personalize interactions, and support coherent multi-turn conversations. Through the codelabs, we implemented working memory, long-term memory, and dynamic context assembly using ADK. Day 4 shifted to evaluation and observability, introducing Logs, Traces, and Metrics to help interpret an agent’s decision-making. We also explored scalable evaluation methods like LLM-as-a-Judge and HITL to assess response quality and tool usage. These modules highlighted how state, visibility, and evaluation shape agents into reliable, real-world systems. 📂 Notes and learnings: https://lnkd.in/eaCzCui8 #AI #Agents #Google #MachineLearning #LearningJourney #AIAgents #Kaggle #Observability #AIQuality
