DevOps Foundation – The One
One Foundation. One System. One Serious Start.
DevOps Foundation – The One is a structured, live instructor-led training program covering the modern DevOps stack from Linux and Git to AWS, Terraform, Ansible, Jenkins, Docker, Kubernetes, monitoring and GitOps. It is designed for learners who want practical labs, weekend support, real project work and a non-trivial portfolio capstone.
ProLEAP Foundation and ProLEAP Advanced have been merged into DevOps Foundation – The One — one unified 45-day program instead of two separate tracks.
Next Batch: 21st September
Who This Is For
- ▸ College students preparing for DevOps/cloud roles
- ▸ Freshers entering IT infrastructure, support, cloud or DevOps
- ▸ Working professionals stuck in support/system admin roles
- ▸ Developers who want deployment and infrastructure confidence
- ▸ Learners who have watched tutorials but cannot build end-to-end projects independently
What This Is (And Isn't)
- ▸ This is not a shortcut course.
- ▸ This is not a passive video playlist.
- ▸ This is not a certificate-only bootcamp.
- ▸ This is a structured practical program with live labs, weekend assessments and real proof-of-work.
Duration, Schedule & Price
Duration
45 Days
Live instructor-led
Schedule
- Duration: 45 days
- Format: Live instructor-led
- Time: 2 hours per day
- Batch options: 7:00 AM – 9:00 AM or 7:00 PM – 9:00 PM, subject to batch availability
- Weekdays: Monday to Friday live classes
- Weekends: Saturday and Sunday assessments, labs, doubt-clearing, debugging support and mock interview practice
- Total learning load: approximately 80+ hours including live classes, labs, assessments and capstone work
Price
₹5,999
Batch size is limited for quality lab support.
Tools & Skills Covered
Session Structure
Phase 1: The Bedrock – Linux & Version Control
- • Linux fundamentals
- • Filesystem navigation
- • Permissions
- • Process management
- • Services and logs
- • SSH and server operations
- • Git and GitHub
- • Branching strategies
- • Feature / Release / Hotfix branches
- • Pull Requests
- • Collaboration workflow
- • Git as the source of truth
Outcome: Confidently navigate the terminal and manage code like a professional engineer.
Phase 2: Scripting & Logic
- • Bash scripting
- • Variables, loops and functions
- • Remote execution
- • Admin task automation
- • Health-check scripts
- • Python for DevOps
- • OS interaction using Python
- • File handling and automation
- • Boto3 for AWS automation
- • AI assistance / Copilot as support, not replacement for understanding
Outcome: Move beyond manual tasks and automate repetitive work.
Phase 3: Cloud & Infrastructure as Code
- • AWS infrastructure basics
- • EC2, S3, RDS, ELB and Auto Scaling Groups
- • Regions and Availability Zones
- • IAM security basics
- • Terraform provisioning
- • HCL
- • State management
- • Modules
- • Why click-ops is not scalable
- • Ansible configuration management
- • Idempotent playbooks
- • Bridging provisioning and deployment
Outcome: Provision production-grade infrastructure in minutes, not hours.
Phase 4: The Delivery Pipeline
- • CI/CD concepts
- • Jenkins
- • GitHub Actions
- • GitLab CI/CD
- • Build, test, artifact and notify workflow
- • Observability basics
- • Prometheus for metrics
- • Grafana for dashboards
- • Loki for logs
Outcome: Build resilient pipelines that deploy code and alert when things break.
Phase 5: Modern Orchestration
- • Docker images
- • Containers
- • Multi-stage builds
- • Runtime standardization
- • Kubernetes basics
- • Pods
- • Deployments
- • Services
- • Ingress
- • Scaling
- • Rolling updates
- • Helm package management
Outcome: Containerize applications and orchestrate them at scale.
Learning Outcomes
- ✓ Confidently navigate the terminal and manage code like a professional engineer
- ✓ Automate repetitive admin work with Bash and Python
- ✓ Provision production-grade AWS infrastructure with Terraform and Ansible
- ✓ Build resilient CI/CD pipelines that deploy code and alert when things break
- ✓ Containerize and orchestrate applications at scale with Docker and Kubernetes
- ✓ Understand a complete GitOps workflow end to end
GitOps in Action
Production-grade VProfile application or equivalent production-style application.
- 1 User pushes code to Git
- 2 CI pipeline builds and tests
- 3 Docker image is built
- 4 Image is pushed to registry
- 5 Terraform provisions AWS infrastructure
- 6 Kubernetes deploys the application
- 7 Prometheus and Grafana monitor the workload
- 8 GitOps workflow connects infrastructure, deployment and monitoring
A real, non-trivial project for the learner's portfolio.
You Are Not Learning Alone
Weekend labs are included for doubt-clearing, lab reinforcement, live debugging of student issues, mock interview questions and deeper technical reviews.
“No one stays stuck. Those who show up and ask questions compound their learning faster.”
Practical Deliverables
- ▸ Hands-on lab exercises for every phase
- ▸ GitOps capstone project (portfolio-ready)
- ▸ Weekend assessment feedback
- ▸ Certificate of completion from ProLEAP Academy
Apply / Enquire Now
Frequently Asked Questions
What happened to ProLEAP Foundation and ProLEAP Advanced?
They have been merged into DevOps Foundation – The One. Instead of two separate tracks, it is now a single 45-day program covering everything both used to teach, end to end.
Are these live or recorded sessions?
This is a live instructor-led program. Recordings depend on batch policy if applicable.
Are weekend sessions included?
Yes. Weekends are used for assessments, labs, doubt-clearing and mock interview support.
Will I get a project to show?
Yes. The program ends with a GitOps-style capstone built on a production-style application.
Is there a certificate?
Yes, a certificate of completion is issued by ProLEAP Academy.
Is placement guaranteed?
No. The program focuses on practical skills, portfolio-ready deliverables and interview readiness support.
Can beginners join?
Yes, but serious practice and assignment completion are required.
Serious about learning properly?
Pick the right course, attend live, complete the labs and build proof that you can actually show.
