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Get 30 days free access to Google Cloud labs when you sign up for the ML and AI track in the skills challenge.

Machine learning and artificial intelligence

Did you know that the adoption of machine learning results in 2x more data-driven decisions, 5x faster decision-making, and 3x faster execution? 1

Learn how to implement the latest machine learning and artificial intelligence technology to drive innovation. In this learning path, you’ll explore Google Cloud products like BigQuery, Datalab, and TensorFlow and how to integrate with machine learning APIs such as Cloud Vision or Natural Language API.

Data Scientist / Machine Learning Engineer learning path

A Data Scientist models and analyzes key data and continually improves the way the business utilizes data. Data Scientists aim to make accurate predictions about the future using in-depth data modeling and deep learning.

Learning path diagram for machine learning & AIMachine Learning on Google CloudSKILL BADGE Automate Interactions with Contact Center AIAdvanced Machine Learning with TensorFlow on Google Cloud PlatformSKILL BADGE Perform Foundational Data, ML, and AI Tasks in Google CloudSKILL BADGE Explore ML models with Explainable AIBig Data & Machine Learning FundamentalsMLOps (Machine Learning Operations) Fundamentals


Big Data & Machine Learning Fundamentals

Get started with big data and machine learning. This course provides an introduction to Google Cloud capabilities and a deeper dive of the data processing capabilities.

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Perform Foundational Data, ML, and AI Tasks in Google Cloud

Get started with big data, machine learning, and artificial intelligence. Take your first steps with Google Cloud tools like BigQuery, Cloud Speech API, and AI Platform. You'll have the opportunity to earn a Google Cloud skill badge upon completion.

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Machine Learning on Google Cloud

In this course you will experiment with end-to-end machine learning on Google Cloud, starting from building a machine learning-focused strategy and progressing into model training, optimization, and productionalization.

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Automate Interactions with Contact Center AI

Interactions with Contact Center AI should be conversational and human-like. Learn how to build a virtual agent, design conversational flows for your virtual agent, and add a phone gateway to a virtual agent.

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Advanced Machine Learning with TensorFlow on Google Cloud Platform

This advanced course teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text, and ends with building recommendation systems. This content can also be taken as part of the Advanced Solutions Lab.

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Explore ML models with Explainable AI

Get hands-on practice with Explainable AI - a set of tools and frameworks to help you develop interpretable and inclusive machine learning models and deploy them with confidence. Complete this quest, including the challenge lab at the end, to receive an exclusive Google Cloud digital badge.

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MLOps (Machine Learning Operations) Fundamentals

In this course you will learn MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. This content can also be taken as part of the Advanced Solutions Lab.

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  • Products

    What you'll learn

    TensorFlow, AI Platform Notebooks, Cloud Dataflow, Cloud DataFusion, AI Platform, BigQuery, BigQuery ML, Cloud ML APIs, Kubeflow Pipelines

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  • Labs



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Additional courses and practice

Advanced Solutions Lab

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The Advanced Solutions Lab is a 4-week, full-time immersive training program in applied machine learning. It provides a unique opportunity for your technical teams to dive into a particular machine learning use case for your business. Attendees learn alongside Google's machine learning experts in a dedicated, collaborative space on Google Campus.

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