Master AWS Cloud Security: Protect Your Data and Infrastructure

AWS Security Essentials A Comprehensive Guide to Cloud Protection

Securing Your Cloud Environment Is Essential

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Last Updated: 2024-12-13 11:12:33 English Course Type: Self Learning

Foundations of AWS Security: Understand shared responsibility, IAM (Identity and Access Management), and core AWS security services.
Data Protection and Encryption: Explore methods to secure sensitive data with AWS Key Management Service (KMS), AWS Secrets Manager, and S3 encryption.
Network Security: Learn to configure Virtual Private Cloud (VPC), Security Groups, and Network Access Control Lists (NACLs) for optimal protection.
Threat Detection and Monitoring: Use services like Amazon GuardDuty, AWS Config, and CloudTrail to detect and respond to suspicious activities.
Compliance and Best Practices: Ensure your workloads meet industry standards like GDPR, HIPAA, and PCI-DSS with AWS Artifact and Well-Architected Framework.
Incident Response: Develop strategies for managing and mitigating security breaches using AWS Incident Response Playbooks

In an era where digital threats are on the rise, securing your cloud environment is essential.

This course provides a thorough understanding of AWS security fundamentals and offers practical, hands-on experience with cloud protection tools and strategies. Designed for both beginners and those looking to enhance their cloud security skills, you’ll explore key security services, data encryption, network security, and compliance frameworks in AWS. You will also explore user access management and MFA in depth. This will equip you with enough skills to protect your data and maintain governance in serverless and containerized environments. You will be enabled to secure any AWS deployment effectively at the end of this course.

Fundamental Understanding of IT
Basics of AWS
Learning Desire

IT Professionals
System Administrators
Cloud Security Enthusiasts Seeking to master AWS security principles and practices

Section 1 : Foundational Security Concepts 3 Lectures 00:22:16
Lecture 1 :
AWS Security Essentials: IAM, Cloud Encryption & Key Management Preview
Lecture 2 :
Mastering Data Classification & Network Security
Lecture 3 :
Data Security in Serverless Containerization
Section 2 : Practical AWS Security Implementation 2 Lectures 00:05:44
Lecture 1 :
Navigating the AWS Console: Accessing IAM and Enabling MFA
Lecture 2 :
Hands-On AWS Security: User Management, IAM Roles, and Identity Providers

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AKHIL VYDYULA,

1135 Course Views

11 Courses

Hello, I'm Akhil, a Senior Data Scientist at PwC specializing in the Advisory Consulting practice with a focus on Data and Analytics.

My career journey has provided me with the opportunity to delve into various aspects of data analysis and modelling, particularly within the BFSI sector, where I've managed the full lifecycle of development and execution.

I possess a diverse skill set that includes data wrangling, feature engineering, algorithm development, and model implementation. My expertise lies in leveraging advanced data mining techniques, such as statistical analysis, hypothesis testing, regression analysis, and both unsupervised and supervised machine learning, to uncover valuable insights and drive data-informed decisions. I'm especially passionate about risk identification through decision models, and I've honed my skills in machine learning algorithms, data/text mining, and data visualization to tackle these challenges effectively.

Currently, I am deeply involved in an exciting Amazon cloud project, focusing on the end-to-end development of ETL processes. I write ETL code using PySpark/Spark SQL to extract data from S3 buckets, perform necessary transformations, and execute scripts via EMR services. The processed data is then loaded into Postgres SQL (RDS/Redshift) in full, incremental, and live modes. To streamline operations, I’ve automated this process by setting up jobs in Step Functions, which trigger EMR instances in a specified sequence and provide execution status notifications. These Step Functions are scheduled through EventBridge rules.

Moreover, I've extensively utilized AWS Glue to replicate source data from on-premises systems to raw-layer S3 buckets using AWS DMS services. One of my key strengths is understanding the intricacies of data and applying precise transformations to convert data from multiple tables into key-value pairs. I’ve also optimized stored procedures in Postgres SQL to efficiently perform second-level transformations, joining multiple tables and loading the data into final tables.

I am passionate about harnessing the power of data to generate actionable insights and improve business outcomes. If you share this passion or are interested in collaborating on data-driven projects, I would love to connect. Let’s explore the endless possibilities that data analytics can offer!