Course Overview
About Course
In today’s poly-cloud landscape, organizations increasingly leverage multicloud environments—AWS, Azure, and GCP—to avoid vendor lock-in, boost resiliency, and match service capabilities . However, maintaining consistent DevOps practices across clouds brings complexity in orchestration, security, and monitoring. This 40‑hour immersive training equips professionals to master DevOps across multiple cloud platforms through integrated workflows, unified pipelines, and best practices.
Learners begin by grounding in DevOps principles (CI/CD, SRE, error budgets) and multicloud strategies. They build proficiency in version control using Git with cloud-specific repositories. The training then explores CI pipeline design using Jenkins, GitLab CI, and native cloud build tools, feeding all outputs into respective container registries.
Containerization and orchestration receive deep focus: Docker fundamentals combined with Kubernetes deployments on EKS, AKS, and GKE provide students with a robust cross-cloud delivery framework. GitOps workflows, leveraging tools like Argo CD or Flux, automate deployments across clusters, supporting advanced release patterns (blue/green, canary).
Infrastructure as Code is implemented via Terraform, ARM, and Deployment Manager, ensuring consistent, reusable provisioning across cloud environments. Configuration automation with Ansible and pipeline integrations further enhance operational efficiency.
Security is integrated throughout: participants configure image scans, binary authorization, secrets management, and policy enforcement using OPA or cloud-native tools. Observability is unified via Prometheus and Grafana, collecting metrics and logs across clusters, with alerting and dashboards to ensure real-time insights.
The capstone project brings together all modules, enabling students to design, build, and present a real-world multicloud CICD pipeline—from code commit to monitored, secure, production‑ready deployment across AWS, Azure, and GCP.
With a blend of expert instruction, hands‑on labs, and career development modules—including resume help, mock interviews, and certification prep—graduates emerge ready to design and manage DevOps at scale in multicloud environments.
Course Syllabus
Module 1: DevOps & Multicloud Fundamentals (4 hrs)
- Understand DevOps culture, CI/CD, SRE principles, error budgets.
- Learn multicloud strategy: benefits, challenges (e.g., vendor lock‑in, orchestration complexity)
- Hands‑on AWS, Azure, GCP account setup.
Module 2: Version Control & Repo Management (3 hrs)
- Git basics with centralized repos.
- Use AWS CodeCommit, Azure Repos, GCP Source Repos; enforce branching & merge strategies
Module 3: CI Pipelines across Clouds (6 hrs)
- Build CI pipelines with Jenkins, GitLab CI/CD, Cloud Build.
- Connect multi‑cloud: code from any repo → unified build → push artifacts to registries
Module 4: Containerization & Orchestration (6 hrs)
- Docker fundamentals; push images to ECR, ACR, GCR.
- Kubernetes deployments on EKS, AKS, GKE; manage rollout strategies
Module 5: CD & GitOps in Multicloud (5 hrs)
- Design GitOps pipelines with Argo CD or Flux across clouds.
- Automate blue/green and canary deployments clinically.
Module 6: Infrastructure as Code (5 hrs)
- IaC via Terraform across AWS/Azure/GCP.
- Cloud Deployment Manager and ARM templates automation with pipelines
Module 7: Configuration & Automation (4 hrs)
- Ansible and cloud‑combined remediation.
- Use Jenkins or cloud natives for orchestration .
Module 8: Security & Compliance (3 hrs)
- Image scanning, binary authz, secrets management.
- Enforce policy compliance with OPA and cloud native tools
Module 9: Monitoring & Logging (4 hrs)
- Collect metrics/logs via Prometheus, Grafana across clouds.
- Configure alerts and dashboards for unified observability
Module 10: Capstone Project (3 hrs)
- Build a full pipeline: code → IaC → containers → secure deployment → monitoring across clouds.
- Peer review, demos, and certification guidance.
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Key Features
Live instructor-led workshops on AWS, Azure, GCP.
Hands-on labs applying CI/CD, Kubernetes, GitOps, IaC.
Real-world projects, aligned with modern multicloud DevOps use cases.
Certification prep for Google Professional Cloud DevOps, AZ-400, AWS DevOps Engineer.
Career support: resume reviews, mock interviews, cloud portfolio.
12-month access to labs, recorded sessions, and online peer community.
Our Upcoming Batches
At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.
Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.
Training Timetable
| Batches Online/Offline | Batch Start Date | Session Days | Time Slot (IST) | Fees |
|---|---|---|---|---|
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 11:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 5:00 PM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 PM (Class 1-1.30 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 7:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 10:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 11:00 AM (Class 3 Hrs) | View Fees |
For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.
Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.
Don’t see a batch that fits your schedule? Click here to Request a Batch to design a bespoke training timetable.
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