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Launch Your Career with DevOps Training Near You

Elysium Academy’s DevOps training and placement near me equips you with the skills needed to streamline software development and deployment.

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DevOps Training and Placement

Choose Elysium Academy for expert DevOps training, hands-on experience, real-world projects, and placement support to boost your career.

  • Comprehensive DevOps curriculum with hands-on tools.
  • Expert trainers with years of industry experience.
  • Live projects to master CI/CD, Docker, Kubernetes, and more.
  • Placement assistance to secure top DevOps roles.
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Acquire Key DevOps Skills: Master DevOps, Earn Certification, Launch Your DevOps Career!

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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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Our Highlights
  • Real-world DevOps Projects
  • Personalized coordinator.
  • Trainer feedback.
  • Trainer availability post sessions.
  • Get your staff certified.
  • Certificate from governing bodies.
  • Recognized worldwide
  • Hands on assignment
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 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)
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  •  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.

Cloud Computing Training Course
  • 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 will I learn in DevOps training near me?

You’ll learn CI/CD, automation, containerization, and cloud integration.

Do I need programming experience to join?

Basic programming knowledge is helpful but not mandatory.

What is the duration of DevOps training?

Courses typically last 4–6 months.

Will I work on live projects?

Yes, hands-on projects are part of the curriculum.

Is placement support provided?

Yes, placement assistance is included.