Architect Reliable Release Pipelines. The Best Python DevOps Engineering Course in Ahmedabad.

Engineering leaders hire DevOps talent who automate with Python, containerize services, and operate Kubernetes under SLOs — not operators who only restart servers. We train you on Docker, K8s, Terraform, GitHub Actions, and observability stacks used by product companies and IT services across India to ship faster with fewer production incidents.

Enterprise Enrollment Architecture
Duration: 50 Hours
₹30,000₹22,000
Note: Any type of tax would be extra. Global certification cost is excluded.

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Exclusive Program Benefits

  • After the course, Bascom Bridge will share 10–12 sample CVs to help build your resume.
  • Students receive a license for Bascom Bridge’s placement mobile app*.
  • Lifetime access* to the enrolled course for students.
  • If a student does not clear interviews, Bascom Bridge will provide retraining* until employment is secured.
  • Global certification training is included at no extra cost.
  • Discount on global certification fees* available.
  • Hands-on labs: Docker, Kubernetes, Terraform, and GitHub Actions pipelines with Python automation scripts.
  • Capstone multi-environment CI/CD platform — portfolio-ready for DevOps and SRE interviews*.
*T&C apply. Valid per strict institutional guidelines upon active enrollment.
Applicable taxes will be added to each instalment.

Trusted by Government of India & Leading PSUs

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About Python DevOps Engineering

Enterprise Tools Included

  • /Docker & Kubernetes — containers, manifests, Helm basics
  • /GitHub Actions & Jenkins — CI/CD gates, artifacts, deployments
  • /Terraform & Ansible — infrastructure as code and config drift control
  • /AWS / Azure — EC2, S3, IAM, AKS/EKS deploy patterns
  • /Prometheus, Grafana & ELK — metrics, logs, and alerting

Cognitive Prerequisites

  • /Core/Advanced Python or Python Web Architecture (or equivalent scripting skills)
  • /Comfort with Linux CLI, Git, and basic networking (ports, DNS, HTTP)
  • /Understanding of SDLC and why teams automate builds and deploys
  • /Laptop with 16 GB RAM recommended for local Docker/Kubernetes labs

Salary Progression (₹)

  • Entry-Level (0-3 yrs)₹6.0L - ₹10.0L
  • Mid-Level (4-7 yrs)₹12.0L - ₹22.0L
  • Senior Level (8-12+ yrs)₹22.0L - ₹40.0L+
*Data benchmarked directly from AmbitionBox / Glassdoor India 2026 enterprise tech verified salaries.

The Enterprise Capstone Architecture

Multi-Environment Python Service CI/CD Platform. You will containerize a Python API with Docker, define Kubernetes manifests with health probes and resource limits, provision staging and production infrastructure via Terraform modules, automate build-test-scan-deploy in GitHub Actions with rollback hooks, and wire Prometheus/Grafana dashboards plus alert rules — the end-to-end deliverable DevOps teams present before enabling continuous delivery for enterprise clients.

Deep-Dive Syllabus Grid

Module 1: DevOps Culture & Python Automation Foundations
CALMS principles, DORA metrics, and where Python fits in platform engineering. Writing maintainable automation scripts for file ops, API calls, and cron replacements — the scripting layer every Ahmedabad GCC expects before tool specialization.
Module 2: Linux, Shell & Git for Platform Engineers
Permissions, systemd, journald, SSH hardening, branching strategies, and protected mainlines. Daily operator skills for on-call rotations at IT services and product companies.
Module 3: Docker — Images, Compose & Registry Patterns
Dockerfile best practices, multi-stage builds, compose stacks for app+db+redis, and private registry pushes. Containerizing Python services the way backend teams hand off to DevOps.
Module 4: Kubernetes Core — Pods, Services & Deployments
kubectl workflows, Deployments, ConfigMaps, Secrets, ingress, and health probes. Running stateless Python APIs on minikube/kind — baseline for K8s interviews in 2026.
Module 5: CI/CD with GitHub Actions & Jenkins
Build matrices, test gates, semantic versioning, artifact promotion, and environment-specific deploy stages. Shipping from commit to staging without manual SSH steps.
Module 6: Infrastructure as Code with Terraform
Providers, state files, modules, workspaces, and drift detection. Provisioning VPC, compute, and IAM roles reproducibly — standard in cloud migration programs.
Module 7: Configuration Management with Ansible
Inventory, playbooks, roles, and idempotent server baselines. Patching fleets and enforcing CIS-hardened images alongside Terraform-provisioned infrastructure.
Module 8: AWS & Azure Deploy Targets for Python Apps
EC2/ASG, S3 artifacts, IAM least privilege, managed Kubernetes (EKS/AKS), and secrets managers. Choosing cost-effective patterns for Gujarat enterprise budgets versus hyperscale defaults.
Module 9: Observability — Metrics, Logs & Traces
Prometheus exporters, Grafana dashboards, structured logging, and ELK ingestion. Defining SLOs, error budgets, and alert routing that reduce pager noise.
Module 10: DevSecOps — Scanning, Secrets & Policy Gates
Trivy/Snyk image scans, SAST in CI, secret scanning, and OPA-style policy checks. Passing enterprise security questionnaires before production go-live.
Module 11: Release Strategies & Incident Response
Blue/green, canary, feature flags overview, rollback runbooks, and postmortem templates. Operating releases the way SRE teams at banks and e-commerce platforms document.
Module 12: Capstone Review & DevOps Interview Drills
System-design scenarios: HA clusters, autoscaling, disaster recovery, and cost optimization. Presenting architecture diagrams and live pipeline demos — the interview bar for DevOps engineers in India.

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Adani Logo
Arvind Logo
Asia MotorWorks Logo
Bharti Airtel Logo
Blue Star Logo
Charotar Institute Of Technology Changa Charusat
Cred Logo
Crest Data System Logo
Dalmia Group
Dhirubhai Ambani Institute Of Information And Comm
Einfochips Logo
Indus University
Jpmorgan Logo
JSW Group Logo
Larsen&Toubro Logo
MAXXIS Logo
McDonald'S Logo
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Nokia Logo
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