The latest articles on DEV Community by Sutariya Tisha (@sutariya_tisha_a0ca3709e0). https://dev.to/sutariya_tisha_a0ca3709e0 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3651648%2F29fb160c-b2de-47b2-8389-f7c8e56ac27b.jpg https://dev.to/sutariya_tisha_a0ca3709e0 en Sutariya Tisha Mon, 08 Dec 2025 10:14:07 +0000 https://dev.to/sutariya_tisha_a0ca3709e0/-my-learning-journey-25jk https://dev.to/sutariya_tisha_a0ca3709e0/-my-learning-journey-25jk <p>Participating in the Google x Kaggle AI Agents Intensive has been an inspiring experience for me, even though I could complete only the first two days during the live schedule. Time-management challenges and the need for deeper understanding made it difficult for me to finish all five days in real time — but the sessions I did attend had a strong impact.</p> <p>The intensive introduced me to the foundations of AI agents, how they function, and how they can automate tasks through structured workflows. Before this course, I had very little exposure to agent-based systems, but Kaggle made the concepts clear and approachable with practical examples and hands-on explanations.</p> <p>I did not complete the capstone project, but I still engaged meaningfully with the foundational material, which improved my confidence and curiosity about AI agents.</p> <h2> Key Concepts </h2> <p>Even in a short time, several concepts stood out to me:</p> <ol> <li><p>Understanding AI Agents<br> AI agents are intelligent systems that can:<br> interpret context<br> reason<br> make decisions<br> take actions<br> This broadened my understanding beyond traditional chatbots.</p></li> <li><p>Tool Use and Function Calling<br> The idea ofD connecting agents to real actions — through tools, APIs, or function calls — showed me how agents can automate meaningful workflows.</p></li> <li><p>Prompt Design and Workflows<br> I learned how important structure is when guiding agents. Breaking a task into steps creates clarity and helps the agent perform better.</p></li> <li><p>Architecture of an Agent<br> Understanding the layered design:<br> input<br> reasoning<br> tool usage<br> output<br> helped me think about how complete agent systems work.</p></li> </ol> <h2> Reflections &amp; Takeaways </h2> <p>This course taught me that learning is not about rushing — it’s about understanding. Even partial participation can create a strong foundation.<br> My biggest takeaways:<br> Learning at your own pace is okay<br> Even small steps can build confidence<br> Kaggle makes advanced concepts accessible<br> AI agents are easier to understand when broken into components<br> I’m also excited about receiving the Kaggle badge and certificate by the end of December, which motivates me to complete the remaining modules slowly but properly.</p> <p>Thanks to the Kaggle team for creating such a friendly, accessible learning environment. I look forward to continuing this journey and exploring more concepts in AI and automation.</p> kaggle googleai aiagents learning