Introduction This is a submission for the Google AI Agents Writing Challenge. Before joining this course, I mostly viewed AI as a system that receives a prompt...
Why I Joined the Intensive I’ve always seen AI as something very big and complicated, thinking only experts could understand it. When I read about this program...
Why I Joined the Intensive I wanted to learn how modern AI systems work—especially agents that can: - take actions - understand instructions - interact with to...
Key Takeaways A major insight for me was recognizing how different AI agents are from conventional chatbots. Rather than waiting for prompts and responding, ag...
This is a submission for the Google AI Agents Writing Challengehttps://dev.to/challenges/googlekagglechallenge: Learning Reflections The AI Agents Intensive has...
The Kaggle AI Agents Intensive was more than a learning program for me—it was the moment I truly understood what it means to engineer intelligence. I joined the...
Day 2: Introduction to LangGraph - From Chains to Agents Part of the 4‑Day Series – Agentic AI with LangChain/LangGraphhttps://dev.to/ravidasari/4-day-langchain...
Over the last five days I took the Google × Kaggle AI Agents Intensive Course – a journey that began with “learning how to prompt better” and quickly expanded i...
!Cover image for Autonomous Agents Visiting Datahttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-t...
Overview The AI Agents Intensive was a highly valuable learning experience for me. Even though I could attend only a limited part of the program, it still help...
What Changed My Mind? The biggest takeaway for me was learning the difference between a standard LLM and an AI Agent. LLMs talk: They are great at predicting t...
Stream released support for Google's new Gemini 3 modelshttps://ai.google.dev/gemini-api/docs/gemini-3 inside Vision Agentshttps://visionagents.ai/ — the open‑s...
