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Los mejores cursos de Google en Coursera

Cloud Engineering with Google

This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Associate Cloud Engineer certification. Through a combination of presentations, demos, and labs, you’ll explore and deploy solution elements, including infrastructure components such as networks, systems and applications services; and you’ll gain real world experience through a number of hands-on Qwiklabs projects that you can share with potential employers.
You’ll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud. For learners looking to get certified, this program will also provide sample questions similar to those on the exam, including solutions and practice exam quizzes that simulates the exam-taking experience.
Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers. If you’d like to earn your Google Cloud certification, you will need to register for and pass the certification exam. Please note that this program helps equip you with the skills you need to take the certification exam, but the certification and certification fee is not included in the cost of this training program.

Machine Learning with TensorFlow on Google Cloud Platform Specialization

What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.

Cloud Architecture with Google

The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.
This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Professional Cloud Architect certification. You’ll deploy solution elements, including infrastructure components such as networks, systems and applications services, and you’ll gain real world experience through a number of hands-on Qwiklabs projects that you can share with potential employers.
You’ll also have the opportunity to practice key job skills, including case analysis, identifying technical watchpoints, and developing proposed solutions and test your basic abilities with Activity Tracking Challenge Labs. For learners looking to get certified, this program will also provide sample questions similar to those on the exam, including solutions and practice exam quizzes that simulate the exam-taking experience.
Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers. If you’d like to earn your Google Cloud certification, you will need to register for and pass the certification exam. Please note that this program helps equip you with the skills you need to take the certification exam, but the certification and certification fee is not included in the cost of this training program.

4 de mayo de 2021

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