Advanced ML on Google Cloud Specialization
Gain practical experience in optimizing, deploying, and scaling machine learning models using Google Cloud Platform through a structured five-course specialization with hands-on labs and a focus on advanced topics and recommendation systems.
Description for Advanced ML on Google Cloud Specialization
Level: Advanced
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud Training
Duration: 2 months at 10 hours a week
Schedule: Flexible
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Through hyperparameter tuning, regularization, and TensorFlow application, this course emphasizes the optimization of machine learning models.
Using Vertex AI and BigQuery ML, the course instructs students on how to improve data quality, construct AutoML models, and optimize models using performance metrics.
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Streamline data analysis and deployment by mastering the integration of machine learning into data pipelines using Google Cloud products such as AutoML, BigQuery ML, and Vertex AI.
Gain proficiency in the development of machine learning models and big data pipelines by utilizing Google Cloud's state-of-the-art tools, such as BigQuery, Dataflow, Vertex AI, and Pub/Sub.
Acquire proficiency in machine learning and deep learning methodologies, such as TensorFlow, CNNs, RNNs, LSTMs, and NLP, to facilitate efficient data analysis.
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