Smart Analytics, Machine Learning, and AI on GCP
Learn to integrate machine learning into your data pipelines on Google Cloud! Explore AutoML, AI Platform Notebooks, BigQuery ML & Kubeflow for powerful insights. Hands-on experience with QwikLabs.
Course Content
Smart Analytics, Machine Learning, and AI on GCP is an intermediate-level Pluralsight course taught by Google Cloud. It runs 1h 40m, is taught in English, and includes a certificate of completion. It is a paid course, first published January 2021.
Unlock Powerful Insights: Integrating Machine Learning into Your Data Pipelines on Google Cloud Platform
Transform your data into actionable intelligence by leveraging the power of machine learning within your data pipelines. This course provides a comprehensive guide to incorporating AI into your data workflows on Google Cloud Platform (GCP), catering to various levels of customization needs.
Here's what you'll learn:
- AutoML for Rapid Insights: Discover how to utilize AutoML, a no-code/low-code solution, to quickly build and deploy machine learning models with minimal customization. Perfect for getting started with AI on GCP.
- AI Platform Notebooks: Explore AI Platform Notebooks for a flexible environment to develop and experiment with custom machine learning algorithms.
- BigQuery Machine Learning: Learn to perform machine learning directly within BigQuery, your data warehouse, for efficient and scalable analysis.
- Productionizing Machine Learning with Kubeflow: Master the process of deploying and managing machine learning solutions in production using Kubeflow on GCP.
- Hands-on Experience with QwikLabs: Gain practical skills through interactive QwikLabs, building real-world machine learning models on Google Cloud Platform.
By the end of this course, you'll be equipped to enhance your data pipeline with machine learning, unlocking deeper insights and driving data-driven decisions. Learn to build, deploy, and manage AI solutions effectively on GCP.
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