Thu, May 28 · 7:00 PM EDT
Now that we have established our core foundational knowledge in the Google Professional Machine Learning Engineer track, it’s time to scale our efficiency. Welcome to Session 2, where we transition from manual model building to automated pipelines using Google Cloud's AutoML (powered by the Gemini Enterprise Agent Platform, formerly Vertex AI).
Building high-performing production models usually requires weeks of manual hyperparameter tuning, feature engineering, and architectural guesswork. AutoML completely flips the script. In this session, you will learn how to leverage Google's state-of-the-art genetic algorithms and transfer learning to train world-class models across tabular, text, image, and video data—with minimal code.
Key Takeaways
The Power of No-Code/Low-Code ML: Understand when to build custom TensorFlow/Keras models versus when to deploy AutoML for rapid prototyping and production-grade deployments.
Multimodal Data Mastery: Learn how to apply AutoML to diverse corporate data types, including:
AutoML Tables for structured business data and time-series forecasting.
AutoML Vision & Video for object detection and visual inspection.
AutoML Natural Language for sentiment analysis and document classification.
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End-to-End Pipeline Automation: Discover how AutoML automatically handles data preprocessing, feature selection, evaluation splitting, and hyperparameter tuning behind the scenes.
Production Deployment & MLOps: Master how to seamlessly register your AutoML models into the Model Registry and deploy them to cloud endpoints for instant batch or real-time online predictions.
Exam Readiness: Direct alignment with the "Building ML Models" domain of the Google Professional ML Engineer Certification exam.
Why this matters: In production engineering, speed-to-market is everything. Mastering AutoML allows you to spin up baseline models in hours instead of days, freeing you up to focus on complex architecture, MLOps orchestration, and Generative AI integration.
Agenda
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Hosted By
Elizabeth Leonard, GDG Organizer
Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-bethesda-presents-google-professional-machine-learning-session-2-demystifying-automl/.
