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Hitha Mohan
Hitha Mohan

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My Learning Journey Through the Google & Kaggle AI Agents Intensive Course

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Google AI Agents Writing Challenge – Submission

Learning Reflections from the Google & Kaggle AI Agents Intensive Course

Introduction

I recently completed the 5-Day AI Agents Intensive Course organized by Google and Kaggle. This course was a great learning experience for me, helping me clearly understand how AI agents work and how they can be applied in real-world scenarios.

Key Learnings

During the course, I learned:

What AI agents are and how they make decisions

The difference between single-agent and multi-agent systems

How agents use tools, memory, and reasoning to complete tasks

The ReAct framework (Reason + Act)

How agents observe, plan, and act step-by-step

These concepts improved my understanding of agentic workflows and modern AI systems.

What Resonated with Me the Most

The most interesting topics for me were:

Multi-agent collaboration

Tool calling and how it enhances an agent’s capabilities

Designing prompts that guide the agent’s behavior

Understanding how small prompt changes affect results

These topics helped me build confidence in creating intelligent agent systems.

My Capstone Project Experience

For my capstone project, I built an agent that could analyze input, understand the user’s need, and respond with appropriate actions. Through this project, I learned:

How to design step-by-step workflows

How agents communicate internally

How to test, refine, and improve agent behavior

How to combine reasoning with tool usage

This hands-on experience gave me practical clarity on the concepts taught in the course.

How My Understanding of Agents Evolved

Before the course, I felt that agent systems were difficult and only for advanced developers. After completing the program:

I gained confidence in building basic and intermediate agents

I understood the logic behind how agents think and act

I became comfortable experimenting with agent workflows

I realized the huge potential of agents in real-life applications

Final Reflection

This course has been a meaningful milestone in my AI learning journey. I am grateful to Google, Kaggle, and the DEV community for providing such a valuable and structured learning program. I look forward to applying what I learned to future projects and continuing my exploration of agentic AI.

scription](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bjdsrr89xi3zak5c7jib.jpg)*This isGoogle AI Agents Writing Challenge – Submission

Learning Reflections from the Google & Kaggle AI Agents Intensive Course

Introduction

I recently completed the 5-Day AI Agents Intensive Course organized by Google and Kaggle. This course was a great learning experience for me, helping me clearly understand how AI agents work and how they can be applied in real-world scenarios.

Key Learnings

During the course, I learned:

What AI agents are and how they make decisions

The difference between single-agent and multi-agent systems

How agents use tools, memory, and reasoning to complete tasks

The ReAct framework (Reason + Act)

How agents observe, plan, and act step-by-step

These concepts improved my understanding of agentic workflows and modern AI systems.

What Resonated with Me the Most

The most interesting topics for me were:

Multi-agent collaboration

Tool calling and how it enhances an agent’s capabilities

Designing prompts that guide the agent’s behavior

Understanding how small prompt changes affect results

These topics helped me build confidence in creating intelligent agent systems.

My Capstone Project Experience

For my capstone project, I built an agent that could analyze input, understand the user’s need, and respond with appropriate actions. Through this project, I learned:

How to design step-by-step workflows

How agents communicate internally

How to test, refine, and improve agent behavior

How to combine reasoning with tool usage

This hands-on experience gave me practical clarity on the concepts taught in the course.

How My Understanding of Agents Evolved

Before the course, I felt that agent systems were difficult and only for advanced developers. After completing the program:

I gained confidence in building basic and intermediate agents

I understood the logic behind how agents think and act

I became comfortable experimenting with agent workflows

I realized the huge potential of agents in real-life applications

Final Reflection

This course has been a meaningful milestone in my AI learning journey. I am grateful to Google, Kaggle, and the DEV community for providing such a valuable and structured learning program. I look forward to applying what I learned to future projects and continuing my exploration of agentic AI.

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