Course Overview
About Course
DevOps marries software development (Dev) with IT operations (Ops) to accelerate delivery and improve quality. Python’s versatility and rich ecosystem make it a top choice for DevOps engineers—enabling seamless automation, cloud interaction, CI/CD pipelines, and monitoring solutions
This 40‑hour training equips participants with essential skills through a blend of theory and practice. Starting with Python fundamentals, learners gain confidence in scripting and working with data formats commonly used in infrastructure workflows. Advanced sections introduce OOP, logging, and error handling to ensure scripts meet production‑grade standards.
Next, the course transitions into cloud automation using Python SDKs like Boto3 (for AWS) and tools like Ansible. This module covers provisioning, configuration, and deployment using code—a cornerstone of modern infrastructure management . Participants learn to build and manage Docker containers programmatically, preparing them for streamlined CI/CD integration.
In the CI/CD module, learners construct automated pipelines using Jenkins or GitHub Actions, integrating Python-based testing, linting, and deployment steps. Modules on monitoring and logging delve into creating alerting scripts and collecting metrics to support operational readiness, using Python’s logging frameworks .
Security isn’t an afterthought—it’s woven in through automated vulnerability detection labs using Python tools . Additionally, the IaC module enables infrastructure provisioning through Python, using tools like Terraform CDK.
The program culminates in a capstone project where participants design and deploy an end‑to‑end DevOps pipeline—from code commit to production monitoring. This comprehensive, hands‑on approach ensures participants not only learn concepts but can apply them in real‑world scenarios, setting them on a path to success as DevOps engineers with Python expertise.
Course Syllabus
Module 1: Python Fundamentals & Scripting (6 hrs)
- Syntax, data types, control flow, functions, modules
- Hands-on scripting labs: file ops, JSON/YAML parsing, subprocess
- Builds the foundation for automation and DevOps scripting
Module 2: Advanced Python Practices (4 hrs)
- Error handling, logging, OOP concepts, virtual environments
- Focus on writing robust, production-grade Python scripts
Module 3: Infrastructure Automation with Python (6 hrs)
- Boto3 AWS SDK: EC2, S3, IAM, Lambda operations
- Python + Ansible: module writing and playbook development
- Teaches cloud provisioning and config management
Module 4: Docker & Containerization (6 hrs)
- Container basics: images, containers, Dockerfile
- Automation scripts to build, push, and deploy containers
- Lays groundwork for CI/CD integrations
Module 5: CI/CD Pipelines with Python (6 hrs)
- CI principles, Jenkins/GitHub Actions with Python
- Build, test, deploy Python apps (unit tests, linting)
- Enables automated testing and delivery
Module 6: Monitoring, Logging & Alerting (4 hrs)
- Custom logging, metrics via Python libraries
- Automated alerts using scripts & third-party APIs
- Supports observability and issue detection
Module 7: Infrastructure as Code (IaC) Integration (4 hrs)
- Python + Terraform/CDK: generate, provision infra
- Best practices: idempotence, modular design
Module 8: Security Automation & Testing (4 hrs)
- Security scanning via Python
- Lab sessions: detect vulnerabilities using Python tools
Module 9: Capstone Project & Review (4 hrs)
- End‑to‑end DevOps lifecycle: code → container → infra → CI/CD → monitoring
- Final presentations, peer reviews, Q&A
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Key Features
- Hands‑on labs: Build real pipelines and scripts
- Live guidance: Expert-led, with code reviews & office hours
- Weekly assignments & mini‑projects: Reinforce learning
- Mock interviews & resume help: Prepare for DevOps roles
- Community support: Slack/Telegram group, peer networking
- 1‑year course access: Self‑paced review & continued learning
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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