Based on this YouTube video's total view count of 332K views and industry-standard rates, the estimated total earning is $233 - $665 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Guide to Agentic AI – Build a Python Coding Agent with Gemini with 332,452 views, 7,206 likes, and 135 comments. Experience the impact of this video content that has captured audience attention.

Build your own functional AI coding agent from the ground up using Python and the free Gemini Flash API. This project-based tutorial provides a deep understanding of how powerful AI tools work by guiding you through the creation of an agentic loop powered by tool calling. You will implement the core abilities for your agent to interact with and modify a codebase, including reading files, writing to files, and executing code to get feedback. Lane Wagner created this course. Check out the interactive version of the course on boot.dev: https://www.boot.dev/courses/build-ai-agent-python ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Contents ⭐️ - 00:00:00 Introduction - 00:01:14 Why Build an AI Agent? - 00:01:49 Course Overview & What We're Building - 00:02:25 How to Follow Along - 00:03:47 What is an AI Agent? (Agentic Loops & Tool Calling) - 00:06:03 The Agent's Four Tools - 00:07:58 Prerequisites & Project Goals - 00:10:08 Demo: Agentic vs. One-Shot Responses - 00:13:07 Python Project Setup with UV - 00:15:44 Getting Started with the Gemini API - 00:19:21 Making Your First API Call - 00:24:44 Accepting Command-Line Arguments - 00:27:46 Managing Conversation History - 00:30:39 Adding a Verbose Flag for Debugging - 00:33:35 Setting Up the Project for Our Agent (Calculator App) - 00:36:23 Building Tool #1: Get Files Info - 00:49:39 Building Tool #2: Get File Content - 00:58:24 Building Tool #3: Write File - 01:05:26 Security Note: Dangers of Running AI-Generated Code - 01:07:30 Building Tool #4: Run Python File - 01:18:00 Understanding the System Prompt - 01:33:10 How Tool Calling Works: Declaring Functions for the LLM - 01:41:38 Adding All Function Declarations - 01:49:19 Implementing the Function Calling Logic - 01:57:30 Creating the Agentic Loop - 02:07:11 Final Demo: Agent Fixes a Bug Autonomously - 02:13:44 Conclusion & Next Steps 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.

Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.

Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.

Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.