Practical Data Science on the AWS Cloud

Completed by Javier Casado Gómez

August 14, 2023

Course Certificates Completed

Analyze Datasets and Train ML Models using AutoML

Build, Train, and Deploy ML Pipelines using BERT

Optimize ML Models and Deploy Human-in-the-Loop Pipelines

View certificate for Javier Casado Gómez, Practical Data Science on the AWS Cloud, offered through Coursera. Congratulations! You have completed all three courses of the Practical Data Science Specialization. In this Specialization, you learned how to build, train, tune, and deploy machine learning models with purpose-built tools in the AWS cloud. You developed practical skills to effectively deploy your data science projects using well-established methodologies and overcome challenges at each step of the ML workflow using Amazon SageMaker. You've become familiar with the capabilities and challenges of practical data science in production environments. You are now ready to level up your career by conducting complex data analysis and solving real-world business problems.

Course Certificates

Earned after completing each course in the Specialization

Analyze Datasets and Train ML Models using AutoML

DeepLearning.AI & Amazon Web Services

Taught by: Antje Barth, Shelbee Eigenbrode, Sireesha Muppala & Chris Fregly

Completed by: Javier Casado Gómez by July 25, 2023

At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.

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Build, Train, and Deploy ML Pipelines using BERT

DeepLearning.AI & Amazon Web Services

Taught by: Antje Barth, Shelbee Eigenbrode, Sireesha Muppala & Chris Fregly

Completed by: Javier Casado Gómez by August 4, 2023

At the rate of 5 hours a week, it typically takes 3 weeks to complete course 2.

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Optimize ML Models and Deploy Human-in-the-Loop Pipelines

DeepLearning.AI & Amazon Web Services

Taught by: Antje Barth, Shelbee Eigenbrode, Sireesha Muppala & Chris Fregly

Completed by: Javier Casado Gómez by August 14, 2023

At the rate of 5 hours a week, it typically takes 3 weeks to complete course 3.

View this certificate