AWS Certified DevOps Engineer – Professional
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Understand AI Fundamentals
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Identify Business Opportunities
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Plan & Execute Projects
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Evaluate Impact & Ethics
60 Hours
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Beginner level
No Prior Knowledge Required
Flexible Learning
Available in Online, Offline, and
Hybrid Modes
60 Hours
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Program Overview
The AWS Certified DevOps Engineer – Professional (DOP-C02) certification validates advanced technical expertise in provisioning, operating, and managing distributed application systems on AWS. It demonstrates your ability to implement and manage continuous delivery systems and methodologies on AWS, automate security controls, define and deploy monitoring systems, and implement systems that are highly available, scalable, and self-healing.
Key Features
Duration: Flexible (self-paced learning)
Format: Online (self-paced courses, practice exams)
Credential: AWS Certified DevOps Engineer – Professional (valid for 3 years)
Cost: $300 USD (approximately ₹24,000)
Exam Mode: Available at Pearson VUE testing centers or online proctored exams
Validity: Certification is valid for 3 years; recertification options available
Skills Covered
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AI Fundamentals: Understanding the basics of generative AI and its applications
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Content Generation: Creating text, images, and videos using AI tools
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Automation: Streamlining content creation processes with AI
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Personalization: Tailoring content to specific audiences using AI insights
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Ethical Considerations: Understanding the ethical implications of using AI in content creation
Course Curriculum
DevOps on AWS – Foundations
Module 1 • 10 hour to complete
Module 1 • 10 hour to complete
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Role of the DevOps Engineer & DOP-C02 exam overview
• CI/CD concepts, release strategies, and deployment patterns
• Git fundamentals and repo options (GitHub/GitLab/AWS CodeCommit)
• Building a secure, multi-account operating model (AWS Organizations, landing zones)
• CI/CD concepts, release strategies, and deployment patterns
• Git fundamentals and repo options (GitHub/GitLab/AWS CodeCommit)
• Building a secure, multi-account operating model (AWS Organizations, landing zones)
Source Control, Artifacts & Pipelines
Module 2 • 10 hour to complete
Module 2 • 10 hour to complete
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Repos, branching, PR policies, and code reviews
• Artifacts, dependency management & provenance (CodeArtifact, alternatives)
• CI/CD with AWS CodePipeline: stages, actions, cross-account delivery
• Build systems at scale (AWS CodeBuild, test orchestration, caching)
• Artifacts, dependency management & provenance (CodeArtifact, alternatives)
• CI/CD with AWS CodePipeline: stages, actions, cross-account delivery
• Build systems at scale (AWS CodeBuild, test orchestration, caching)
Automated Deployments & Release Engineering
Module 3 • 10 hour to complete
Module 3 • 10 hour to complete
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Zero-downtime techniques: blue/green, canary, linear, and rolling
• AWS CodeDeploy deep dive: EC2/On-prem, ECS, Lambda
• Advanced deployment guardrails: pre/post hooks, auto-rollback, health checks
• Image pipelines (EC2 Image Builder) & immutable infrastructure
• AWS CodeDeploy deep dive: EC2/On-prem, ECS, Lambda
• Advanced deployment guardrails: pre/post hooks, auto-rollback, health checks
• Image pipelines (EC2 Image Builder) & immutable infrastructure
Infrastructure as Code (IaC)
Module 4 • 10 hour to complete
Module 4 • 10 hour to complete
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CloudFormation essentials: templates, parameters, mappings, conditions, outputs
• ChangeSets, drift detection, stack policies, termination protection
• StackSets for multi-account & multi-region deployments
• AWS CDK basics (constructs, stacks, pipelines) and SAM for serverless IaC
• Patterns for secrets, dynamic references, and service roles
• ChangeSets, drift detection, stack policies, termination protection
• StackSets for multi-account & multi-region deployments
• AWS CDK basics (constructs, stacks, pipelines) and SAM for serverless IaC
• Patterns for secrets, dynamic references, and service roles
Configuration & Operations Automation
Module 5 • 10 hour to complete
Module 5 • 10 hour to complete
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AWS Systems Manager (SSM): Run Command, Session Manager, Patch Manager
• SSM Automation documents, Maintenance Windows & Resource Groups
• Parameter Store, AppConfig, OpsCenter & Compliance
• Hybrid fleet operations, VPC endpoints, and secure access at scale
• SSM Automation documents, Maintenance Windows & Resource Groups
• Parameter Store, AppConfig, OpsCenter & Compliance
• Hybrid fleet operations, VPC endpoints, and secure access at scale
Containers & Orchestration
Module 6 • 10 hour to complete
Module 6 • 10 hour to complete
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Container registry & images (Amazon ECR)
• Orchestrating workloads on ECS/EKS & AWS Fargate
• Autoscaling for services & tasks, service discovery
• Observability for containers (logging, metrics, tracing)
• Orchestrating workloads on ECS/EKS & AWS Fargate
• Autoscaling for services & tasks, service discovery
• Observability for containers (logging, metrics, tracing)
Serverless & API-Driven Architectures
Module 7 • 10 hour to complete
Module 7 • 10 hour to complete
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Lambda versions, aliases, and traffic shifting
• Amazon API Gateway: stages, deployments, caching, Canary release
• Event-driven orchestration with Step Functions
•File systems for Lambda, cross-account patterns
• Amazon API Gateway: stages, deployments, caching, Canary release
• Event-driven orchestration with Step Functions
•File systems for Lambda, cross-account patterns
Eventing, Streaming & Integration
Module 8 • 10 hour to complete
Module 8 • 10 hour to complete
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Messaging with SQS/SNS (DLQs, redrive policies)
• Event routing & transformation with Amazon EventBridge
• Streaming pipelines with Kinesis Data Streams/Firehose & Flink
•S3 event notifications & object integrity patterns
• Event routing & transformation with Amazon EventBridge
• Streaming pipelines with Kinesis Data Streams/Firehose & Flink
•S3 event notifications & object integrity patterns
Data, Caching & Migration for DevOps
Module 9 • 10 hour to complete
Module 9 • 10 hour to complete
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Caching strategies (ElastiCache for Redis/Memcached)
• RDS & Aurora ops (HA, read replicas vs Multi-AZ)
• DynamoDB ops (capacity, streams, global tables basics)
•Database migration pipelines with AWS DMS
• RDS & Aurora ops (HA, read replicas vs Multi-AZ)
• DynamoDB ops (capacity, streams, global tables basics)
•Database migration pipelines with AWS DMS
Networking, DNS & Edge
Module 10 • 10 hour to complete
Module 10 • 10 hour to complete
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VPC design: subnets, routing, NAT, endpoints
• Load balancing deep dive (ALB rules & advanced features)
• Route 53 routing policies (weighted, latency, failover)
•Multi-AZ, multi-region, and DR strategies
• Load balancing deep dive (ALB rules & advanced features)
• Route 53 routing policies (weighted, latency, failover)
•Multi-AZ, multi-region, and DR strategies
Observability, Reliability & Incident Readiness
Module 11 • 10 hour to complete
Module 11 • 10 hour to complete
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CloudWatch metrics, custom metrics, Logs, Agent & Live Tail
• Alarms, Anomaly Detection, and Synthetics canaries
• Tracing with AWS X-Ray & AWS Distro for OpenTelemetry
•Health Dashboard, status checks, and runbooks / playbooks
• Alarms, Anomaly Detection, and Synthetics canaries
• Tracing with AWS X-Ray & AWS Distro for OpenTelemetry
•Health Dashboard, status checks, and runbooks / playbooks
Security, Governance & Compliance
Module 12 • 10 hour to complete
Module 12 • 10 hour to complete
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IAM & IAM Identity Center, least privilege and permission boundaries
• GuardDuty, Inspector, Detective – detection & remediation patterns
• Network protections: AWS WAF & Firewall Manager
•Config rules, conformance packs, drift control & organizational governance •Control Tower & Landing Zone customization; Secrets Manager & KMS
• GuardDuty, Inspector, Detective – detection & remediation patterns
• Network protections: AWS WAF & Firewall Manager
•Config rules, conformance packs, drift control & organizational governance •Control Tower & Landing Zone customization; Secrets Manager & KMS
Cost, Performance & FinOps for DevOps
Module 13 • 10 hour to complete
Module 13 • 10 hour to complete
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Budgets, alerts, and cost allocation
• Cost Explorer, Trusted Advisor & right-sizing
• Performance tuning across CI/CD, compute, and storage
•Release safety vs. spend: caching, queue backpressure & autoscaling
• Cost Explorer, Trusted Advisor & right-sizing
• Performance tuning across CI/CD, compute, and storage
•Release safety vs. spend: caching, queue backpressure & autoscaling
Exam Readiness & Capstone
Module 14 • 10 hour to complete
Module 14 • 10 hour to complete
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Domain-by-domain exam mapping & common pitfalls
• Hands-on scenario walkthroughs & practice questions
• Study plan, signup & accommodations
•Capstone: design a production-grade CI/CD + IaC + observability blueprint
• Hands-on scenario walkthroughs & practice questions
• Study plan, signup & accommodations
•Capstone: design a production-grade CI/CD + IaC + observability blueprint
Tools & Technologies
Completion Certificate
Job Role
- AWS DevOps Engineer
- Cloud Automation Engineer
- Site Reliability Engineer (SRE)
- Cloud Infrastructure Engineer
- Cloud Solutions Architect
Training Option
OFFLINE
₹7777
- 24/7 support
- 24/7 support
- 24/7 support
ONLINE
₹5555
- 24/7 support
- 24/7 support
- 24/7 support
HYBRID
₹6666
- 24/7 support
- 24/7 support
- 24/7 support
Why Join this Program
Earn a job
Receive complete job assistance tailored to your career goals. Get expert placement guidance to confidently step into the industry.
Leverage knowledge from industry experts
Learn directly from seasoned Trainers and Gain real-world insights that go beyond textbooks.
Industry-relevant Tools & Practical Learning
Get hands-on experience with the latest tools used by top companies. Hands-on learning through 200+ exercises and 10+ projects with seamless access to integrated labs.
Structured, industry-vetted curriculum
A curriculum shaped by experts to meet evolving industry demands. Structured learning ensures you're career-ready from day one.
Integrated with Gen AI Modules
The curriculum includes cutting-edge Generative AI modules designed to align with emerging tech trends.
Interview preparation & Placement assistance
Sharpen your interview skills with practical training and expert guidance. Receive complete placement support to connect with top recruiters.
FAQ
Basic Python is enough; we cover everything from scratch.
No — this course teaches ML fundamentals too.
Absolutely — this is designed for career transition.
You’ll need to put in extra effort, but many succeed.
Yes — the curriculum includes real-world LLM integration.
Yes — including techniques used by AI professionals.