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What you'll learn
Infrastructure as Code (IaC) with Terraform: Students will learn how to design and implement infrastructure as code using Terraform, and automate the provisioning and deployment of resources on AWS.
Containerization with Docker and Kubernetes: Students will gain expertise in containerization using Docker, and learn how to build and manage container images, deploy containers to a cluster using Kubernetes, and ensure their availability and scalability.
Configuration Management with Ansible: Students will acquire the skills to automate configuration management using Ansible, and learn how to write playbooks to manage configurations and deploy applications across multiple servers.
Continuous Integration and Continuous Delivery (CI/CD) with Jenkins and AWS DevOps Services: Students will master the concepts of CI/CD and learn how to build and deploy pipelines using Jenkins and AWS DevOps services.
-45%
Free
-45%
-45%
Free
Advanced Data Science Masters Program
What you'll learn
Understand the AWS data ecosystem and how to use various services and tools to build data engineering pipelines
Write Python and SQL queries to perform data transformations and analytics
Setting up local development environment for AWS on windows/mac
Learn how to store and manage large volumes of data using AWS S3
To secure your AWS resources using IAM
Use PySpark for Big Data Analysis
Data ingestion using Lambda Functions
Populating DynamoDB table with data
Perform ETL operations on large datasets using AWS Glue and Lambda
Build scalable and efficient data processing workflows using PySpark and EMR
Understand and utilize various data warehousing and data querying techniques using Redshift and Athena
Learn how to ingest real-time data streaming pipelines using Kinesis
