In this module, we will dive deep into AWS security features, focusing on encryption techniques and key management with services like KMS and CloudHSM. You will learn about securing AWS environments using STS, VPC Endpoints, and CloudTrail for auditing. A three-part deep dive will cover critical security concepts to ensure your data and services are protected from unauthorized access and vulnerabilities.

In this module, we will cover a range of additional AWS tools and integrations that support big data applications. Topics will include AWS AppSync, Amazon Kendra for intelligent search, and EC2 optimization for handling large datasets. You’ll also gain insight into AWS Data Exchange for secure data transfers and explore AppFlow for automating data interactions.

In this module, we will focus on helping you prepare for the AWS certification exam with practical tips and strategies. We’ll cover everything from exam signup and walkthrough to cost-saving methods and additional time allowances for non-native English speakers. You’ll also have the opportunity to check your learning progress and ensure you’re fully prepared for the exam day.

In this module, we will introduce key machine learning concepts relevant to AWS Big Data certification. You’ll explore Amazon’s ML services, including SageMaker, and engage in hands-on exercises that cover predictive modeling and data cleaning techniques. These topics will help you understand the role of machine learning in big data and how to apply it in real-world scenarios.

In this final module, we will conclude the course by discussing AWS certification paths and offering tips on how to continue building your AWS expertise. You'll receive advice on the next steps in your learning journey, along with a final check to ensure you're ready for the exam.