
Master AWS exam strategy by understanding question formats, constraints, and elimination techniques, then apply flagging and automation-focused choices to maximize accuracy.
Explore a high-level overview of AWS services across compute, storage, database, networking, analytics, containers, and AI, with examples like EC2, S3, RDS, DynamoDB, Lambda, and Kinesis.
Explore Amazon Kinesis Data Streams, a real-time data pipeline that ingests from producers to real-time consumers via shards, with Kinesis Client Library for fault-tolerant processing.
Set up a Kinesis data stream and two Lambda functions to generate and process sensor data, storing results in a DynamoDB table, then test and clean up resources.
Master amazon opensearch service, a fully managed search and analytics engine built on Apache Lucene for real-time log analytics and observability. Explore domains, storage tiers, anomaly detection, and key integrations.
Explore Amazon EC2, virtual machines in the AWS cloud, covering instances, Amazon machine images, instance types, and purchasing options: on demand, savings plans, reserved, spot, dedicated host, and dedicated instances.
Launch an EC2 instance in North Virginia region using Amazon Linux 2023, set up a key pair and security group, and connect via SSH or EC2 Instance Connect.
Master Amazon EC2 auto scaling by configuring auto scaling groups with launch templates, health checks, and elastic load balancing across multiple availability zones to handle variable demand.
Convert dotnet and Java apps into containerized deployments with AWS App2Container, which inventories, analyzes runtime dependencies, and generates Dockerfiles and deployment templates for AWS container services.
Discover Amazon elastic container registry, a fully managed private registry for Docker and OCI images. Learn its core components and features, including lifecycle policies, image scanning, and cross-region replication.
Explore Amazon Elastic Container Service (ECS), including task definitions, services, launch types (EC2 and Fargate), and integration with ECR, IAM, and CloudWatch for scalable, secure container orchestration.
Explore Amazon Aurora, a fully managed, MySQL and PostgreSQL compatible database with high performance storage, multi-AZ resilience, up to 128 Tebibytes, and features like blue-green deployments and global databases.
Explore amazon aurora serverless v2 and its on-demand auto scaling with acus, independent writer and reader scaling, and pay-per-use capacity within defined min and max ranges.
Demonstrates building an Amazon DocumentDB cluster with MongoDB compatibility, connecting from EC2, and performing CRUD operations, queries, and indexing on a product catalog, then cleaning up resources.
Explore a hands-on demo of Aurora serverless MySQL and ElastiCache serverless (Valky) with IAM authentication, VPC networking, and a Lambda cache-aside pattern using Glide client.
Explore memorydb for redis hands-on by provisioning a VPC, subnet group, and parameter group, deploying a multi-az memorydb cluster, and using CLI and Python to perform redis operations and cleanup.
Demonstrates installing and configuring the AWS CLI on Windows, Linux, and Mac, validating setup, creating and deleting S3 buckets in different regions, and securely managing access keys.
Explore AWS Cloud Shell, a web-based, pre-authenticated shell with AWS CLI, Python, and Node.js on Amazon Linux 2, with one GB of persistent storage and no extra cost.
Set up AWS CodeArtifact by creating a domain and repositories, publish a Node.js package, configure npm and pip to use CodeArtifact, test installations, and clean up resources.
Demonstrate end-to-end DevOps with AWS CodeBuild by creating an ECR repo, linking a GitHub project, and building, pushing a Docker image, and cleaning up resources.
Apply AWS CodePipeline to automate the release process from source to deploy. Understand pipelines, stages, actions, artifacts, triggers, and executions to implement end-to-end continuous delivery and continuous integration.
Learn AWS CloudFormation's declarative infrastructure as code, covering templates, stacks, dependency management, intrinsic functions, and features like stack sets, custom resources, drift detection, plus CDK, SAM, and CodePipeline integration.
Discover how AWS CloudTrail records API activity for governance and auditing, covering event history, trails, event types, insights, global service events, and CloudTrail Lake.
Discover how AWS compute optimizer analyzes EC2 instances, EBS volumes, Lambda, and ECS Fargate using utilization metrics to generate recommendations that optimize resources and reduce costs across regions and accounts.
Delete AWS config rules one by one with confirm prompts, then empty and permanently delete the AWS config S3 bucket to complete the cleanup.
Discover how AWS Proton automates infrastructure as code for serverless and container apps, enabling platform teams to manage versioned environment and service templates with integrated CI CD pipelines.
Discover AWS Systems Manager, a unified operations service that centrally manages EC2, on-prem, and edge devices with patching, state management, automation, maintenance windows, Parameter Store, and SSM documents.
Create an EC2 instance profile for Systems Manager, launch an instance, and run commands to explore run command, Parameter Store, Inventory, State Manager, Fleet Manager, and Automation.
Explore Amazon API Gateway, its core concepts, architectures, and the differences between REST, HTTP, and WebSocket APIs, including endpoint types, integrations, and VPC link options.
Explore how AWS client VPN securely connects remote workforces to AWS and on‑prem resources via OpenVPN, with endpoints, routing, authentication options, and split-tunnel traffic.
Launch a VPC with two public subnets and EC2 instances running a web server. Configure an application load balancer with a target group to distribute traffic and test the setup.
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.