AWS Certified DevOps Engineer Professional - Complete Guide

Master CI/CD pipelines, Infrastructure as Code, monitoring, and IT automation for AWS DevOps Certification Exam

Master CI/CD pipelines, Infrastructure as Code, monitoring, and IT automation for AWS DevOps Certification Exam

Overview

Design and implement CI/CD pipelines using AWS services, including CodePipeline, CodeBuild, and CodeDeploy, to automate software delivery processes., Deploy and manage infrastructure using AWS CloudFormation and CDK, implementing security controls and compliance requirements at scale., Build highly available and resilient solutions using AWS services while implementing automated recovery processes to meet RTO/RPO requirements, Configure comprehensive monitoring, logging, and security controls using AWS CloudWatch, CloudTrail, and AWS security services at scale

IT professionals and developers who are preparing for the AWS Certified DevOps Engineer - Professional certification exam. These individuals typically have at least 2 years of hands-on experience with AWS services and are looking to validate their expertise., DevOps engineers and system administrators who are currently managing AWS environments and want to deepen their knowledge of automation, continuous delivery, and operational best practices. They may be responsible for implementing CI/CD pipelines, managing infrastructure, or maintaining production systems., Cloud architects and technical team leads who need to understand DevOps methodologies and how to implement them effectively within AWS environments. These professionals often need to design resilient architectures and establish operational excellence across their organizations., Solutions architects who want to enhance their operational knowledge and learn how to better incorporate DevOps practices into their system designs. They may already hold other AWS certifications and are looking to specialize in DevOps practices., The course content is particularly valuable for professionals who are actively working with AWS services and want to advance their careers by mastering DevOps practices at a professional level.

You should have at least 2 years of experience in provisioning and managing AWS environments. Basic knowledge of programming or scripting is beneficial, but detailed guidance will be provided. An understanding of Linux/Unix systems administration and familiarity with CI/CD concepts is helpful. Prior AWS certifications (Solutions Architect or Developer Associate) are recommended but not mandatory.

1. This comprehensive course covers the essential knowledge and skills required for the AWS Certified DevOps Engineer - Professional certification. The content follows AWS's official exam guide, focusing on implementing and managing continuous delivery systems and methodologies across a broad spectrum of AWS services.


2. The course explores advanced DevOps practices using AWS's extensive service portfolio, including:

- Development tools: CodePipeline, CodeBuild, CodeDeploy, and AWS CloudShell

- Container services: ECS, EKS, and ECR

- Serverless technologies: Lambda, AWS Serverless Application Repository, and Step Functions

- Monitoring solutions: EventBride, CloudWatch, X-Ray, and CloudTrail

- Security services: IAM, KMS, Secrets Manager, and Security Hub

- Databases: Amazon Aurora, AWS Database Migration Service (AWS DMS), Amazon DocumentDB (with MongoDB compatibility), Amazon DynamoDB, Amazon ElastiCache, Amazon MemoryDB for Redis, Amazon RDS, Amazon Redshift


3. Core topics align with the official exam domains:

- SDLC automation and CI/CD implementation

- Infrastructure as Code and configuration management

- High availability and resilient architectures

- Comprehensive monitoring and logging strategies

- Incident response and event management

- Security automation and compliance controls


4. The curriculum includes practical exercises with essential AWS services, from computing (EC2, Auto Scaling) to databases (RDS, DynamoDB) and networking (VPC, Route 53). Content follows current AWS certification standards with hands-on demos and theoretical lectures.


5. Special emphasis is placed on real-world scenarios involving complex architectures, multi-account management, and enterprise-scale deployments. The course material reflects current AWS best practices and service capabilities.

Deepak Dubey

Highly Skillful, Knowledgeable and Result-Driven IT Professional with over 20 years of Experience (Totally Hands-on).

AWS Cloud Architecture, Design, Development, DevOps, SysOps - EC2, ECS, EKS, Elastic Beanstalk, Lambda, S3, Glacier, Storage Gateway, RDS, DynamoDB, ElastiCache, Redshift, VPC, ELB, Route 53, CloudWatch, CloudFormation, CloudTrail, OpsWorks, Elastic MapReduce, Kinesis, Data Pipeline, SWF, SQS, SNS, SES

Big Data Engineering - Hadoop, HDFS, YARN, Hive, Spark, Kafka, MongoDB, HBase, Cassandra, Storm, ZooKeeper, Redis, Elastisearch, Logstash, Kibana, Grafana

Data Science, Machine Learning, AI, Python, TensorFlow, Natural Language Processing

Java/Java EE/Web/Web Services, Spring, Spring MVC, Microservices, RESTful API, Spring Boot, Hibernate Development

Full Stack Development experience using MERN (MongoDB, Express, ReactJS, Node) Stack. Proficient with Angular, HTML5, CSS3, Bootstrap, Ant Design

DevOps - Kubernetes, Docker, Jenkins, Maven, Gradle, GIT, JIRA, Terraform, Puppet, Chef, Ansible, Prometheus

Google Cloud Platform - Cloud SQL, Datastore, Bigtable, Cloud Spanner, Cloud Dataflow, Dataproc, BigQuery, AI Platform, Datalab, Dataprep, Data Studio, Cloud Composer

I hold 50+ Internationally recognized Professional Certifications listed as below:-

Amazon Web Services  (9X Certified)

AWS Certified Solutions Architect - Professional

AWS Certified DevOps Engineer - Professional

AWS Certified Machine Learning - Specialty

AWS Certified Security - Specialty

AWS Certified Advanced Networking - Specialty

AWS Certified Data Analytics - Specialty

AWS Certified Database - Specialty

Google

Google Cloud Certified Professional Machine Learning Engineer

TensorFlow Developer Certificate

Google Cloud Certified Professional Data Engineer

Microsoft Azure

Microsoft Certified: Azure Solutions Architect Expert

Microsoft Certified: Azure AI Engineer Associate

Big Data

Elasticsearch, Logstash, Kibana Certified Engineer

Cloudera Certified Associate (CCA) Spark and Hadoop Developer

Confluent Certified Developer For Apache Kafka

Confluent Certified Operator for Apache Kafka

DevOps

Certified Kubernetes Application Developer

Certified Kubernetes Administrator

Docker Certified Associate

Certified Jenkins Engineer 2018

Python

Certified Python Associate

Java

OCP Java SE 6 & 8 Programmer

SOA and Web Services

Oracle SOA Suite 12c Certified Implementation Specialist

Oracle Certified Expert, Java EE 6 Web Services Developer

Security

CISSP & CISM

Enterprise Architecture and Management

TOGAF 9 Certified, PRINCE2 and ITIL


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