Ready to build machine learning models faster than ever? This video dives into end-to-end machine learning with AI-First Colab, your agentic coding partner powered by Gemini. You'll see a demo of how to execute the ML lifecycle using only natural language prompts, starting from raw data and ending with full prediction of 2026 Winter Olympics medal counts. Learn how to transform your development process by letting AI handle the heavy lifting for data preparation, model training, evaluation, and prediction, allowing you to focus on high-level strategy and direction. Start your next machine learning project with unprecedented speed and ease.

Resources: 
Learn more → https://goo.gle/47Yq4DK 

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Products Mentioned:  Google AI, Colab

Google for Developers

Google Colab now features an AI-powered coding agent built on Gemini that can autonomously execute end-to-end machine learning workflows using natural language prompts. The demonstration shows how to build a predictive model for 2026 Winter Olympics medal counts by simply describing requirements in plain English, while the agent handles data ingestion, feature engineering, model training, evaluation, and visualization without manual coding. Users maintain full access to generated code for review and modification, enabling collaborative work between developer and AI agent.

End to End Machine Learning with AI First Colab