In this course, you will learn how to: Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (Amazon VPC), Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing (ELB), and AWS Auto Scaling from the command line Use AWS CloudFormation and other automation technologies to produce stacks of AWS resources.

In this course, you will learn how to: Evaluate the relationship between Amazon Redshift and other Big Data systems Evaluate use cases for data warehousing workloads and review real-world implementation of AWS data and analytic services as part of a data warehousing solution Choose an appropriate Amazon Redshift node type and size for your data needs Understand which security features are appropriate for Amazon Redshift, such as encryption, IAM permissions, and database permissions.

In this course, you will learn how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Leverage Amazon SageMaker and MXNet programming frameworks for deep learning workloads Fit AWS solutions for deep learning deployments

This course teaches experienced developers how to programmatically interact with AWS services to build web solutions. It guides you through a high-level architectural discussion on resource selection and dives deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI) to build and deploy your cloud applications. You will build a sample application during this course, learning how to set up permissions to the development environment.

In this course, you will learn to: Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS List the advantages, roles, and responsibilities of small, autonomous DevOps teams Design and implement an infrastructure on AWS that supports DevOps development projects Leverage AWS Cloud9 to write, run, and debug your code Deploy various environments with AWS CloudFormation Host secure.

In this course, you will learn: What to expect from the exam How the exam is structured, including question types How to determine how questions relate to AWS architectural concepts How to interpret the concepts being tested by an exam question How to allocate your study time for the exam

Linux containers are changing the way companies think about service development and deployment. Containers play a vital role in the modern data-center, and Docker is leading the way. This course covers all the core features of Docker including: container creation and management, interacting with Docker hub, using Dockerfile to create and manage custom images, advanced Docker networking (how to safely expose container services to the world, and link containers),.

This Kubernetes Administration course is designed to equip participants with the in-depth knowledge and practical skills necessary for the efficient administration of Kubernetes clusters. Covering a broad range of topics from core concepts and installation to advanced application lifecycle management and security, this course is structured to address the needs of professionals. The core concepts module introduces Kubernetes architecture, cluster communication, and fundamental Kubernetes objects.

In this course, you will learn: Articulate the essential terms and concepts fundamental to video compression and distribution Describe the four fundamental stages of video streaming workflows: ingest, process, store and deliver Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows Analyze video streaming workflow diagrams using AWS services, based on simple to complex use cases.

In this course, you will learn strategies for planning and migrating existing workloads to the AWS Cloud, including portfolio discovery, application migration planning and design, migration execution, and post-migration validation and application optimization. The first part provides an overview of migration planning principles and best practices, and the second part focuses on migration design and implementation, with hands-on labs to reinforce concepts.