Smart Analytics, Machine Learning, and AI on Google Cloud is a course that provides learners with a comprehensive overview of Google Cloud Platform's (GCP) machine learning and artificial intelligence capabilities. The course covers the fundamentals of machine learning, including supervised and unsupervised learning, and introduces learners to GCP's machine learning services, such as AutoML and TensorFlow.
Learners will gain hands-on experience working with GCP's machine learning services to build intelligent applications, including natural language processing (NLP) and image and video recognition. Additionally, the course covers how to use GCP's data analytics services, including BigQuery and Cloud Dataflow, to build smart analytics solutions.
By the end of the course, learners will have a solid understanding of the machine learning and artificial intelligence capabilities of GCP, as well as practical experience using these tools to develop intelligent applications and analytics solutions.
Target Audience:
The target audience for Smart Analytics, Machine Learning, and AI on Google Cloud includes:
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Data analysts and data scientists: Professionals who work with data and are interested in developing skills in machine learning and artificial intelligence on Google Cloud Platform.
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Developers and software engineers: Professionals who are responsible for developing intelligent applications and are interested in learning how to use machine learning and AI services on GCP.
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IT professionals and architects: Professionals who are responsible for designing and implementing data analytics and machine learning solutions on GCP.
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Business analysts and decision-makers: Professionals who are interested in gaining a high-level understanding of machine learning and AI on GCP to make informed decisions about business strategy and investments.
Learning Objectives:
The key learning objectives for Smart Analytics, Machine Learning, and AI on Google Cloud are:
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Understand the fundamentals of machine learning: Learn the basics of supervised and unsupervised learning, as well as common machine learning algorithms and techniques.
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Learn about Google Cloud Platform's machine learning services: Explore Google Cloud's suite of machine learning services, including AutoML, TensorFlow, and AI Platform.
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Build intelligent applications with machine learning: Learn how to use Google Cloud's machine learning services to build intelligent applications, such as natural language processing (NLP) and image and video recognition.
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Use GCP's data analytics services to build smart analytics solutions: Explore GCP's data analytics services, including BigQuery and Cloud Dataflow, and learn how to use them to build smart analytics solutions.
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Develop skills in model selection and evaluation: Learn how to select the best machine learning model for a given task, and evaluate the performance of your models using common metrics.
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Gain hands-on experience with GCP's machine learning tools: Develop practical skills in using GCP's machine learning and data analytics services through hands-on exercises and projects.