Our Courses

Sequence Models

Sequence Models

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more.

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  • 37 hours
  • English
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Google Cloud Speech API: Qwik Start

Google Cloud Speech API: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. The Google Cloud Speech API integrates speech recognition into dev apps; you can now send audio/receive a text transcription. Watch these short videos Powerful Speech Recognition Using Google Machine Learning and Google Cloud Speech: Qwik Start - Qwiklabs Preview

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  • Self Paced
  • 1 hour
  • English
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Introduction to AI in the Data Center

Introduction to AI in the Data Center

Welcome to the Introduction to AI in the Data Center Course!
As you know, Artificial Intelligence, or AI, is transforming society in many ways.
From speech recognition to improved supply chain management, AI technology provides enterprises with the compute power, tools, and algorithms their teams need to do their life’s work.
But how does AI work in a Data Center? What hardware and software infrastructure are needed?
These are some of the questions that this course will help you address.

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  • Self Paced
  • 5 hours
  • English
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Teaching Impacts of Technology: Data Collection, Use, and Privacy

Teaching Impacts of Technology: Data Collection, Use, and Privacy

In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.

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  • 13 hours
  • English
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Introduction to Machine Learning on AWS

Introduction to Machine Learning on AWS

In this course, we start with some services where the training model and raw inference is handled for you by Amazon. We'll cover services which do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. You'll think of your current solutions and see where you can improve these solutions using AI, ML or Deep Learning. All of these solutions can work with your current applications to make some improvements in your user experience or the business needs of your application.

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  • 7 hours
  • English
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