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Elysium Certified DevOps Engineer - Training Course

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Acquire Key DevOps Skills: Master DevOps, Earn Certification, Launch Your DevOps Career!

BEST INSTITUTE 4.9 Ratings

The Elysium Certified DevOps Engineer Training Course offers comprehensive training in AWS Cloud – DevOps Engineer Professional (DOP-C01), covering advanced cloud solutions. Participants will gain hands-on experience with key DevOps tools such as Git , GitHub, Jenkins, Maven, Ansible, Kubernetes, and Terraform. This course ensures you are well-versed in industry-leading practices and tools. Upon completion, students receive 100% placement assurance, guaranteeing a successful career launch in DevOps.

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180 Hrs

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50 Hrs

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130 Hrs

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65 Hours

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12 Hours

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Our Highlights

What Will You Learn?

Master DevOps fundamentals, including CI/CD, version control, and infrastructure as code.
Dive into advanced concepts such as containerization and orchestration.
Learn to implement automated deployment pipelines and monitoring solutions.
Gain expertise in cloud platforms and DevOps tools.
Understand and apply DevOps best practices and methodologies.
Develop practical skills through hands-on labs and real-world simulations.

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Course was selected for our collection of top-rated courses trusted by businesses worldwide.

Reasons to do Elysium Certified DevOps Engineer - Training Course

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₹ 15 L

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Course Description

The Elysium Certified DevOps Engineer program offers learners the opportunity to master the essential skills and tools used by DevOps professionals today. Dive into the exciting field of DevOps and learn continuous integration, continuous deployment, automation, and cloud technologies with the guidance of experienced instructors. Learners will emerge prepared to streamline development and operations processes. Here are some of the skills you will need to learn if you want to become a DevOps engineer.

Course Goals

The DevOps Engineer course teaches you to master the concepts of DevOps. Through this training, you will learn Continuous Integration (CI), Continuous Deployment (CD), Automation, Infrastructure as Code (IaC), Cloud Platforms, and Monitoring.

Future Scope of this Course

DevOps is the foundation that supports efficient and collaborative software development and IT operations.
It involves the comprehensive management and automation of development pipelines used by various organizations.
Continuous Integration ensures that code changes are automatically tested and integrated.
DevOps Engineers understand infrastructure and application performance to derive meaningful outcomes.
DevOps practices form the substructure on which modern agile and lean software development methodologies are built.

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Elysium Certified DevOps Engineer - Training Course Certificate

Our Training Program Benefits

Live, interactive training by experts.
Curriculum that focuses on the learner.
Challenge-based, hands-on project.
Opportunities for team building.
Cost- saving training.
Convenient for your employees.
Completely tailor-made curriculum.

Chapter-1 Implement Ci/Cd Pipelines

Software development lifecycle (SDLC) concepts, phases, and models
Pipeline deployment patterns for single- and multi-account environments
Configuring code, image, and artifact repositories
Using version control to integrate pipelines with application environments
Setting up build processes (for example, AWS CodeBuild)
Managing build and deployment secrets (for example, AWS Secrets Manager, AWS Systems Manager Parameter Store)
Determining appropriate deployment strategies (for example, AWS CodeDeploy)

Chapter-2 Integrate Automated Testing Into Ci/Cd Pipelines

Different types of tests (for example, unit tests, integration tests, acceptance tests, user interface tests, security scans)
Reasonable use of different types of tests at different stages of the CI/CD pipeline
Running builds or tests when generating pull requests or code merges (for example, AWS CodeCommit, CodeBuild)
Running load/stress tests, performance benchmarking, and application testing at scale
Measuring application health based on application exit codes
Automating unit tests and code coverage
Invoking AWS services in a pipeline for testing

Chapter-3 Build And Manage Artifacts

Artifact use cases and secure management
Methods to create and generate artifacts
Artifact lifecycle considerations
Creating and configuring artifact repositories (for example, AWS CodeArtifact, Amazon S3, Amazon Elastic Container Registry [Amazon ECR])
Configuring build tools for generating artifacts (for example, CodeBuild, AWS Lambda)
Automating Amazon EC2 instance and container image build processes (for example, EC2 Image Builder)

Chapter-4 Deployment Strategies

Deployment methodologies for various platforms (for example, Amazon EC2, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS], Lambda)
Application storage patterns (for example, Amazon Elastic File System [Amazon EFS], Amazon S3, Amazon Elastic Block Store [Amazon EBS])
Mutable deployment patterns in contrast to immutable deployment patterns
Tools and services available for distributing code (for example, CodeDeploy, EC2 Image Builder)
Configuring security permissions to allow access to artifact repositories (for example, AWS Identity and Access Management [IAM], CodeArtifact)
Configuring deployment agents (for example, Code Deploy agent)
Troubleshooting deployment issues
Using different deployment methods (for example, blue/green, canary)

Chapter-5 Cloud Infrastructure And Reusable Components

Infrastructure as code (laC) options and tools for AWS
Change management processes for laC-based platforms
Configuration management services and strategies
Composing and deploying laC templates (for example, AWS Serverless Application Model [AWS SAM], AWS CloudFormation, AWS Cloud Development Kit [AWS CDK])
Applying CloudFormation StackSets across multiple accounts and AWS Regions
Determining optimal configuration management services (for example, AWS OpsWorks, AWS Systems Manager, AWS Config, AWS AppConfig)
Implementing infrastructure patterns, governance controls, and security standards into reusable laC templates (for example, AWS Service Catalog, CloudFormation modules, AWS CDK) Task Statement

Chapter-6 Deploy Automation

AWS account structures, best practices, HRS and related AWS services
Standardizing and automating HRS account provisioning and configuration
Creating, consolidating, and centrally managing accounts (for example, AWS Organizations, AWS Control Tower)
Applying IAM solutions for multi-account and complex organization structures (for example, SCPs, assuming roles)
Implementing and developing governance and security controls at scale (AWS Config, AWS Control Tower, AWS Security Hub, Amazon Detective, Amazon GuardDuty, AWS Service Catalog, SCPs)

Chapter-7 Design And Build Automated Solutions

AWS services and solutions to automate tasks and processes
Methods and strategies to interact with the AWS software-defined infrastructure
Automating system inventory, configuration, and patch management (for example, Systems Manager, AWS Config)
Developing Lambda function automations for complex scenarios (for example, AWS SDKs, Lambda, AWS Step Functions)
Automating the configuration of software applications to the desired state (for example, Ops Works, Systems Manager State Manager)
Maintaining software compliance (for example, Systems Manager)

Chapter-8 Highly Available Solutions To Meet Resilience

Multi-AZ and multi-Region deployments (for example, compute layer, data layer)
SLAs
Replication and failover methods for stateful services
Techniques to achieve high availability (for example, Multi-AZ, multi-Region)
Translating business requirements into technical resiliency needs
Identifying and remediating single points of failure in existing workloads
Enabling cross-Region solutions where available (for example, Amazon DynamoDB, Amazon RDS, Amazon Route 53, Amazon S3, Amazon CloudFront)
Configuring load balancing to support cross-AZ services
Configuring applications and related services to support multiple Availability Zones and Regions while minimizing downtime

Chapter-9 Solutions That Are Scalable To Meet Business Requirements

Appropriate metrics for scaling services
Loosely coupled and distributed architectures
Serverless architectures
Container platforms
Identifying and remediating scaling issues
Identifying and implementing appropriate auto scaling, load balancing, and caching solutions
Deploying container-based applications (for example, Amazon ECS, Amazon EKS)
Deploying workloads in multiple Regions for global scalability
Configuring serverless applications (for example, Amazon API Gateway, Lambda, AWS Fargate)

Chapter-10 Automated Recovery Processes

Disaster recovery concepts (for example, RTO, RPO)
Backup and recovery strategies (for example, pilot light, warm standby)
Recovery procedures
Testing failover of Multi-AZ and multi-Region workloads (for example, Amazon RDS, Amazon Aurora, Route 53, CloudFront)
Identifying and implementing appropriate cross-Region backup and recovery strategies (for example, AWS Backup, Amazon S3, Systems Manager)
Configuring a load balancer to recover from backend failure

Chapter-11 Collection, Aggregation, And Storage Of Logs And Metrics

How to monitor applications and infrastructure
Amazon CloudWatch metrics (for example, namespaces, metrics, dimensions, and resolution)
Real-time log ingestion
Encryption options for at-rest and in-transit logs and metrics (for example, client-side and server-side, AWS Key Management Service [AWS KMS])
Security configurations (for example, IAM roles and permissions to allow for log collection)
Securely storing and managing logs
Creating CloudWatch metrics from log events by using metric filters
Creating CloudWatch metric streams (for example, Amazon S3 or Amazon Kinesis Data Firehose options)
Collecting custom metrics (for example, using the CloudWatch agent)
Managing log storage lifecycles (for example, S3 lifecycles, CloudWatch log group retention)
Processing log data by using CloudWatch log subscriptions (for example, Kinesis, Lambda, Amazon OpenSearch Service)
Searching log data by using filter and pattern syntax or CloudWatch Logs Insights
Configuring encryption of log data (for example, AWS KMS)

Chapter-12 Audit, Monitor, And Analyze Logs And Metrics To Detect Issues

Anomaly detection alarms (for example, CloudWatch anomaly detection)
Common CloudWatch metrics and logs (for example, CPU utilization with Amazon EC2, queue length with Amazon RDS, 5xx errors with an Application Load Balancer [ALB])
Amazon Inspector and common assessment templates
AWS Config rules
AWS CloudTrail log events
Building CloudWatch dashboards and Amazon QuickSight visualizations
Associating CloudWatch alarms with CloudWatch metrics (standard and custom)
Configuring AWS X-Ray for different services (for example, containers, API Gateway, Lambda)
Analyzing real-time log streams (for example, using Kinesis Data Streams)
Analyzing logs with AWS services (for example, Amazon Athena, CloudWatch Logs Insights)

Chapter-13 Monitoring And Event Management

Event-driven, asynchronous design patterns (for example, S3 Event Notifications or Amazon EventBridge events to Amazon Simple Notification Service [Amazon SNS] or Lambda)
Capabilities of auto scaling for a variety of AWS services (for example, EC2 Auto Scaling groups, RDS storage auto scaling, DynamoDB, ECS capacity provider, EKS autoscalers)
Alert notification and action capabilities (for example, CloudWatch alarms to Amazon SNS, Lambda, EC2 automatic recovery)
Health check capabilities in AWS services (for example, ALB target groups, Route 53)
Configuring solutions for auto scaling (for example, DynamoDB, EC2 Auto Scaling groups, RDS storage auto scaling, ECS capacity provider)
Creating CloudWatch custom metrics and metric filters, alarms, and notifications (for example, Amazon SNS, Lambda)
Configuring S3 events to process log files (for example, by using Lambda) and deliver log files to another destination (for example, OpenSearch Service, CloudWatch Logs)
Configuring EventBridge to send notifications based on a particular event pattern
Installing and configuring agents on EC2 instances (for example, AWS Systems Manager Agent [SSM Agent], CloudWatch agent)
Configuring AWS Config rules to remediate issues
Configuring health checks (for example, Route 53, ALB)

Chapter-14 Process, Notify, And Take Action In Response To Events

AWS services that generate, capture, and process events (for example, AWS Health, EventBridge, CloudTrail)
Event-driven architectures (for example, fan out, event streaming, queuing)
Integrating AWS event sources (for example, AWS Health, EventBridge, CloudTrail)
Building event processing workflows (for example, Amazon Simple Queue Service [Amazon SQS], Kinesis, Amazon SNS, Lambda, Step Functions)

Chapter-15 Configuration Changes In Response To Events

Fleet management services (for example, Systems Manager, AWS Auto Scaling)
Configuration management services (for example, AWS Config)
Applying configuration changes to systems
Modifying infrastructure configurations in response to events
Remediating a non-desired system state Task Statement

Chapter-16 Troubleshoot System And Application Failures

AWS metrics and logging services (for example, CloudWatch, X-Ray)
AWS service health services (for example, AWS Health, CloudWatch, Systems Manager OpsCenter)
Root cause analysis
Analyzing failed deployments (for example, AWS CodePipeline, CodeBuild, CodeDeploy, CloudFormation, CloudWatch synthetic monitoring)
Analyzing incidents regarding failed processes (for example, auto scaling, Amazon ECS, Amazon EKS)

Chapter-17 Identity And Access Management At Scale

Appropriate usage of different IAM entities for human and machine access (for example, users, groups, roles, identity providers, identity-based policies, resource-based policies, session HRS policies)
Identity federation techniques (for example, using IAM identity providers and AWS IAM Identity Center [AWS Single Sign-On])
Permission management delegation by using IAM permissions boundaries
Organizational SCPs
Designing policies to enforce least privilege access
Implementing role-based and attribute-based access control patterns
Automating credential rotation for machine identities (for example, Secrets Manager)
Managing permissions to control access to human and machine identities (for example, enabling multi-factor authentication [MFA], AWS Security Token Service [AWS STS], IAM profiles)

Chapter-18 Automation For Security Controls And Data Protection

Network security components (for example, security groups, network ACLS, routing, AWS Network Firewall, AWS WAF, AWS Shield)
Certificates and public key infrastructure (PKI)
Data management (for example, data classification, encryption, key management, access controls)
Automating the application of security controls in multi-account and multi-Region environments (for example, Security Hub, Organizations, AWS Control Tower, Systems Manager)
Combining security controls to apply defense in depth (for example, AWS Certificate Manager [ACM], AWS WAF, AWS Config, AWS Config rules, Security Hub, GuardDuty, security groups, network ACLS, Amazon Detective, Network Firewall)
Automating the discovery of sensitive data at scale (for example, Amazon Macie)
Encrypting data in transit and data at rest (for example, AWS KMS, AWS CloudHSM, ACM)

Chapter-19 Security Monitoring And Auditing Solutions

Security auditing services and features (for example, CloudTrail, AWS Config, VPC Flow Logs, CloudFormation drift detection)
AWS services for identifying security vulnerabilities and events (for example, GuardDuty, Amazon Inspector, IAM Access Analyzer, AWS Config)
Common cloud security threats (for example, insecure web traffic, exposed AWS access keys, S3 buckets with public access enabled or encryption disabled)
Implementing robust security auditing
Configuring alerting based on unexpected or anomalous security events
Configuring service and application logging (for example, CloudTrail, CloudWatch Logs)
Analyzing logs, metrics, and security findings

Chapter-20 Introduction To Devops

Why DevOps?
What is DevOps?
DevOps Market Trends?
DevOps Engineer Skills
DevOps Tools chain
Addressing Challenges through DevOps
Workflow of DevOps
DevOps Delivery Pipeline
DevOps Ecosystem

Chapter-21 Version Control With Git, Jenkins And Maven Integration

What is version control?
What is Git?
Why Git for your organization
Install Git
Common commands in Git
Working with Remote Repositories
Advantages of Distributed VCS

Chapter-22 Git, Jenkins & Maven Integration

Branching and Merging in Git
Git workflows
Git cheat sheet
What is CI
Why CI is Required
Introduction to Jenkins (With Architecture)
Introduction to Maven
Jenkins Management Preview
Adding a slave node to Jenkins
Build & Delivery Pipeline
Auto Deployment in Jenkins
Pipeline as a Code
Implementation of Jenkins in the Project

Chapter-23 Containerization With Docker

Docker overview
Installing Docker
Pulling images (Docker Pull)
Running images (Docker run)
Docker build and deployment- Connecting to running images (Docker exec)
Exposing volumes and ports
Inspecting system (Docker PS, docker status)
Using docker-compose to connect containers
Exposing volumes and ports

Chapter-24 Configuration Management With \Ansible

Introduction to Ansible, Ansible mechanism.
Ansible installation in AWS instance. Ansible configuration, playing with Ansible ad-hoc commands, creating a simple playbook, Playbook advanced - variables, loop, condition, roles.

Chapter-25 Iac Tool - Terraform

Introduction to Terraform
Installation of Terraform
Merging Terraform with AWS
Creating TF file
Building full cloud architecture using Terraform
Terraform backend
Terraform variables
Terraform state
Terraform locals
Terraform destroy

Chapter-26 Application Monitoring With Prometheus & Grafana

PROMETHEUS
- Used for event monitoring & alerting
- Record real-time metrics in a time series Database (TSDB)
- Build using a HTTP pull model, with flexible queries and real-time alerting
- Node Exporter- Software that you can install on "NIX Kernel (Linux, openBSD, FreeBSD or Darwin)
GRAFANA
- Grafana is a multi-platform open source analytics and interactive visualization web application.
- Provides charts, graphs and alerts for the web when connected to supported data sources

Chapter-27 Log Monitoring With Splunk

Introduction to Splunk
Necessity of Logs
Why Splunk?
Splunk Components
Search Heads
Indexes
Forwarders
Installation of Splunk
Installation of Splunk Forwarder
Splunk Search
Splunk Alerts
Splunk Dashboards

Chapter-28 Orchestration Tool - Kubernetes

Kubernetes Introduction & Architecture
Kubernetes Installation - KOPS Method
Kubernetes - Clusters, Pod, Namespace
Deployment in Kubernetes
Kubernetes - Replica set, Demon Set, ConfigMap, Service
Services in K8s - Nodeport, ClusterIP, Load balancer, Ingress service
Persistent Volume, Persistent Volume Claim
Dashboards in Kubernetes

What is the Microsoft – DevOps Professional Course offered by Elysium Academy?

The Microsoft – DevOps Professional Course at Elysium Academy provides training on DevOps practices using Microsoft tools, including Azure DevOps, CI/CD pipelines, and automation. This course is designed for professionals looking to master DevOps on the Microsoft platform.

What makes Elysium Academy the best Microsoft DevOps training center near me?

Elysium Academy stands out for its Microsoft DevOps training due to its practical curriculum, experienced instructors, and hands-on labs that prepare you for DevOps roles and Microsoft certification.

What certification will I receive upon completing the course?

Upon successful completion, you will receive the Elysium Certified DevOps Engineer certification, which is recognized globally.

Are there any prerequisites for enrolling in this course?

Basic knowledge of IT and software development is beneficial but not mandatory.

How is the course delivered?

The course is delivered through a combination of online lectures, hands-on labs, real-world projects, and interactive sessions with instructors.

Will I have access to course materials after the course is completed?

Yes, you will have lifetime access to all course materials, including video lectures, assignments, and additional resources.

What kind of support is available during the course?

You will have access to a dedicated coordinator, regular feedback from trainers, and post-session support to address any questions or challenges.

Are there any real-world projects included in the course?

Yes, the course includes several real-world projects to provide practical experience and help you apply the concepts learned.

Can I get my team certified through this course?

Yes, we offer customized training programs for teams. Please contact our support team for more details on group certifications.

How can I enroll in the Elysium Certified DevOps Engineer course?

You can enroll through our website by completing the registration form and selecting your preferred course schedule. For assistance, our support team is always available.

Elysium Certified DevOps Engineer - Training Course TESBO
Duration: 180 Hours
Level: Beginner
Days: 180 Days
Chapters: 28
Language: English
Certifications: Yes
Code: EAPL/TESBO/TSTC09
Course Code: EATDE
Sub Category: Cloud Computing Training Course

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FAQ’S

Frequently Asked Questions.

What does DevOps training at Elysium Academy include?

Our DevOps training covers tools like Git, Jenkins, Docker, Kubernetes, and AWS with real-time projects.

Does Elysium Academy near me provide placement assistance for DevOps?

Yes, we offer 100% placement assistance with mock interviews and resume preparation.

Can I enroll in DevOps training as a fresher near me?

Absolutely! Our course is designed for beginners as well as experienced professionals.

Will I receive a certification after DevOps training?

Yes, we provide industry-recognized certification upon successful completion of the course.

Does Elysium Academy offer certification after completing the Python course?

Yes, Elysium Academy Python training institute provides certification upon successful completion, validating your skills for the job market.

Bridge the Gap Between Skills and Success!

Thank you!

Career Support 24/7

4.9/5 Rating

100+ Hiring Partners

2.2

Version

45 Hours

Duration

11 Hours

Theory

34 Hours

Practical

4.8/5 Rating

1 to 1 Guidance

Support Available 24/7

100+ Hiring Partners

DevOps Training and Placement

90+ Professional Courses

Top Instructors

Online Certifications

Outline The Methodology Used in Providing Career Guidance

Practical Hands

Opportunities

Workshops

Get In Touch

or

Call Us Via

Explore Our Courses

750+

PLACEMENT PARTNERS

150+

COLLEGE TIE-UPS

1.57K

ENTERPRISE CUSTOMERS

10+

HELPDESK OPTIONS

2.2

Version

180 Hrs

Duration

50 Hrs

Theory

130 Hrs

Practical

Version

Duration

Theory

Practical

Top companies offer this course to their employees

Salary

₹ 15 L

Job Growth

25%

Offer Jobs

10,000

Our Training Program Benefits

Chapter-1 Implement Ci/Cd Pipelines

Chapter-2 Integrate Automated Testing Into Ci/Cd Pipelines

Chapter-3 Build And Manage Artifacts

Chapter-4 Deployment Strategies

Chapter-5 Cloud Infrastructure And Reusable Components

Chapter-6 Deploy Automation

Chapter-7 Design And Build Automated Solutions

Chapter-8 Highly Available Solutions To Meet Resilience

Chapter-9 Solutions That Are Scalable To Meet Business Requirements

Chapter-10 Automated Recovery Processes

Chapter-11 Collection, Aggregation, And Storage Of Logs And Metrics

Chapter-12 Audit, Monitor, And Analyze Logs And Metrics To Detect Issues

Chapter-13 Monitoring And Event Management

Chapter-14 Process, Notify, And Take Action In Response To Events

Chapter-15 Configuration Changes In Response To Events

Chapter-16 Troubleshoot System And Application Failures

Chapter-17 Identity And Access Management At Scale

Chapter-18 Automation For Security Controls And Data Protection

Chapter-19 Security Monitoring And Auditing Solutions

Chapter-20 Introduction To Devops

Chapter-21 Version Control With Git, Jenkins And Maven Integration

Chapter-22 Git, Jenkins & Maven Integration

Chapter-23 Containerization With Docker