Professional Certificate in Serverless for Data Scientists
-- ViewingNowThe Professional Certificate in Serverless for Data Scientists is a crucial course designed to equip learners with the essential skills required to build and deploy data science solutions in a serverless architecture. This program is increasingly important in today's industry, where organizations are rapidly adopting serverless computing for its scalability, cost-effectiveness, and improved productivity.
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โข Introduction to Serverless Architecture – Understanding the basics of serverless architecture and its benefits for data science.
โข Setting Up Your Serverless Environment – Configuring AWS, Google Cloud, or Azure serverless resources for data science.
โข Data Processing with AWS Lambda – Hands-on experience with data processing using AWS Lambda and other AWS serverless services.
โข Google Cloud Functions for Data Manipulation – Learning to manipulate data using Google Cloud Functions and other Google Cloud serverless services.
โข Azure Functions for Data Analysis – Implementing data analysis using Azure Functions and other Azure serverless services.
โข Serverless Machine Learning with TensorFlow – Building serverless machine learning models using TensorFlow and deploying them on serverless platforms.
โข Serverless Data Visualization with Tableau – Creating data visualizations using Tableau and serverless resources.
โข Serverless Data Streaming with Kinesis and Kafka – Implementing serverless data streaming using Kinesis, Kafka, and other serverless services.
โข Security & Compliance for Serverless Data Science – Ensuring data security and compliance in a serverless data science environment.
โข Best Practices for Serverless Data Science – Learning best practices for implementing serverless architecture in data science.
Note: The primary keyword is "Serverless" in most units, with other relevant keywords like "AWS Lambda", "Google Cloud Functions", "Azure Functions", and "TensorFlow" appearing in their respective units.
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