In this module, we will introduce caching concepts and AWS caching solutions aimed at boosting application performance and reducing latency. You will explore Amazon CloudFront for global content delivery, Amazon ElastiCache for efficient data retrieval, and learn best practices for implementing caching strategies. Additionally, we’ll cover how to enhance DynamoDB performance with Amazon DAX, ensuring faster response times for your applications.

In this module, we will explore how applications have evolved from monolithic designs to flexible, scalable microservices and decoupled systems. You will learn how AWS services like Amazon SQS and SNS facilitate the development of decoupled architectures, improving system resilience and scalability. Additionally, we will cover common architecture patterns such as event-driven and pub/sub, showing you how to build modern, cloud-native solutions that are both efficient and adaptable.

In this module, we will delve into the power of automation in the cloud, focusing on how it drives efficiency, reduces human error, and scales your infrastructure effortlessly. You will learn how to use AWS CloudFormation for defining and provisioning infrastructure, while also exploring AWS Elastic Beanstalk and OpsWorks for automating application deployment and server management. We’ll cover best practices and advanced features of these services to ensure that your cloud operations are streamlined and error-free.

In this module, we will explore the world of containerization in cloud environments, starting with the fundamentals and then diving into how AWS services like ECS, EKS, and ECR make container management and orchestration easier. You’ll learn how containers provide consistency across various environments, and gain hands-on experience with setting up and managing containerized applications on AWS. Additionally, we will guide you through the process of securely storing, managing, and deploying Docker container images with Amazon ECR, ensuring efficient application deployment at scale.

In this module, we will dive deep into the serverless computing model and how AWS provides powerful tools like AWS Lambda, API Gateway, and Step Functions to build scalable, event-driven applications without managing infrastructure. You’ll learn how to create serverless workflows with AWS Step Functions, design and manage APIs using Amazon API Gateway, and optimize Lambda functions for efficiency. Additionally, we will cover advanced features of these services to ensure your serverless applications are highly available, secure, and easy to manage at scale.

In this module, we will explore how to harness the power of AWS for data analytics, covering everything from the basics of data collection and processing to advanced analytics and real-time streaming. You’ll gain hands-on experience with AWS tools like Amazon Redshift, Athena, and Glue for data processing, storage, and querying. We will also dive into services like Amazon Kinesis for real-time analytics, and Amazon QuickSight for creating rich visualizations and interactive dashboards. By the end of this module, you’ll be equipped to leverage AWS to transform raw data into actionable insights for informed decision-making.