AWS Certified CloudOps Engineer

AWS Certified CloudOps Engineer

  • Understand AI Fundamentals
  • Identify Business Opportunities
  • Plan & Execute Projects
  • 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 CloudOps Engineer program provides end-to-end knowledge of cloud operations, automation, monitoring, and security on AWS. It equips learners with practical skills to manage modern cloud infrastructures, apply DevOps practices, and ensure resilient and cost-optimized operations.

Key Features

Short-duration / modular format (ranges from 1 day to 30+ hours) for focused learning

Hybrid delivery mode with hands-on labs & projects

Beginner-friendly; minimal prerequisites (basic cybersecurity or networking background useful)

Instruction + exam prep sessions + practice questions

Real-world use cases: threat detection, phishing, malware analysis, anomaly detection, adversarial attacks, etc.

Certificate awarded on completion

Skills Covered

  • Generative AI + ML models (GANs, VAEs, LLM basics) in security
  • Adversarial attacks & defenses, threat modelling
  • Network anomaly & intrusion detection
  • Malware & phishing detection and analysis
  • Incident response automation & threat intelligence forecasting
  • Ethical, legal, and privacy concerns in AI security
Next Cohort Countdown

Course Curriculum

CloudOps Foundations
Module 1 • 10 hour to complete
• Introduction to Cloud Operations on AWS
• AWS Well-Architected Framework for Operations Excellence
• Core AWS Services: Compute, Networking, Storage, Databases
• Infrastructure as Code (IaC) Principles
Infrastructure Automation
Module 2 • 10 hour to complete
• AWS CloudFormation: Templates, Stacks, Change Sets
• AWS CDK (Cloud Development Kit) for Modern IaC
• Terraform on AWS (overview and use cases)
• Automation with AWS Systems Manager
Compute & Container Orchestration
Module 3 • 10 hour to complete
• EC2 Operations: Launch, Monitoring, Auto Scaling
• Elastic Load Balancing & Target Groups
• Containerization with Docker & Amazon ECR
• Orchestration with Amazon ECS and EKS
• AWS Fargate for Serverless Containers
Networking & Connectivity
Module 4 • 10 hour to complete
• VPC Design and Operations
• Subnets, Route Tables, and Gateways
• Load Balancers, NAT, and Transit Gateway
•Hybrid Connectivity: VPN, Direct Connect
• AWS PrivateLink & VPC Endpoints
Storage & Databases
Module 5 • 10 hour to complete
• Storage Services: S3, EBS, EFS, FSx
• Backup, Lifecycle Policies, and Disaster Recovery
• Database Operations: RDS, Aurora, DynamoDB
• Database High Availability and Failover
Monitoring & Observability
Module 6 • 10 hour to complete
•Amazon CloudWatch (Metrics, Logs, Alarms, Dashboards)
• AWS X-Ray for Distributed Tracing
• AWS CloudTrail for Governance and Audit
• Centralized Logging with OpenSearch Service
• AWS Config for Compliance and Drift Detection
Security & Compliance in CloudOps
Module 7 • 10 hour to complete
• IAM Roles, Policies, and Permissions Management
• Encryption at Rest and Transit with AWS KMS
• Secrets Management with AWS Secrets Manager
• Security Controls: AWS WAF, Shield, and GuardDuty
• Zero-Trust Principles and Secure VPC Design
DevOps & Continuous Delivery
Module 8 • 10 hour to complete
• Source Control Integration with CodeCommit / GitHub
• CI/CD Pipelines with CodeBuild, CodePipeline, and CodeDeploy
• Infrastructure Deployment Strategies (Blue/Green, Canary, Rolling)
• Automated Testing and Deployment Guardrails
Reliability & Resilience
Module 9 • 10 hour to complete
• Auto Scaling Groups and Predictive Scaling
• Multi-Region & Multi-AZ Architectures
• Disaster Recovery Strategies (Backup & Restore, Pilot Light, Warm Standby, Multi-Site Active/Active)
• Chaos Engineering on AWS
Cost Optimization & Governance
Module 10 • 10 hour to complete
• AWS Pricing Models and Cost Explorer
• AWS Budgets & Savings Plans
• Trusted Advisor for Optimization
• Cost Governance and FinOps Best Practices
CloudOps with Serverless & Event-Driven Architecture
Module 11 • 10 hour to complete
• AWS Lambda for Operations Automation
• EventBridge and Step Functions for Orchestration
• SQS and SNS for Messaging & Notifications
• Serverless Monitoring & Scaling Considerations
Advanced CloudOps Practices
Module 12 • 10 hour to complete
• Infrastructure Blueprints & Reusable Patterns
• Multi-Account Strategy and AWS Organizations
• Landing Zones and Control Tower
• CloudOps for Hybrid and Edge Deployments (Outposts, Snow Family, Local Zones)
Certification Preparation
Module 13 • 10 hour to complete
• Exam Guide and Domains Breakdown
• Practice Questions and Mock Exam
• Study Tips and Exam Strategies
• AWS Certification Paths & Next Steps
Wrap-Up & Career Pathways
Module 14 • 10 hour to complete
• Final Review & Key Takeaways
• Industry Use Cases for CloudOps Engineers
• Career Roadmap in CloudOps, DevOps, and SRE

Tools & Technologies

Completion Certificate

Master in NextGen AI & Data Science Certificate

Job Role

Training Option

Ready to shape your future?

Enroll Now or Talk to Our Experts: 07948221005

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.
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