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Python for DevOps Engineers

Duration: 8–10 weeks (≈ 55–75 hours contact time)

Practical Python for Cloud, DevOps, Platform Engineering, and SRE — not a general programming degree. Build production-ready automation for Linux, APIs, cloud, containers, Kubernetes, Terraform, and CI/CD.

Course status

Curriculum follows the REBASH Python for DevOps Engineers technology prompt (27 modules). All Modules 1–27 tutorials are rewritten to the academy standard with Excalidraw diagrams under docs/assets/excalidraw/ (not D2). Regenerate with python3 scripts/generate-excalidraw-svg.py. Start with Install, venv, and Tooling.

1. Course overview

Purpose

Enable engineers to ship production-quality Python automation for infrastructure and platforms.

Target roles

DevOps · Cloud · Platform · SRE · DevSecOps · Infrastructure · Automation Engineer

Prerequisites

Tools

Tool Notes
venv / uv / Poetry Isolate every project
pip with pins Reproducible installs
Docker / kubectl / Terraform CLI Platform labs (fixtures if unavailable)
Optional cloud Free Tier AWS/Azure/GCP inventory labs

Capstone outcomes

Develop production automation · build CLIs · automate Linux · drive cloud/K8s/Docker · CI utilities · package apps · reusable frameworks · software-engineering practices for infra.

Certification mapping (light)

Theme PCAP AWS DevOps Pro CKA/CKAD Terraform Assoc Modules
Language fundamentals ● ○ ○ ○ 1–9
APIs / packaging / testing ○ ● ○ ○ 14, 22–23
Docker / K8s clients ○ ○ ● ○ 17–18
Terraform wrap ○ ○ ○ ● 19
Cloud SDKs ○ ● ○ ○ 15

2. Course flow

  1. M1–M6Language basicsPackaging
  2. M7–M12FilesErrorsOOPLoggingConfigCLIs
  3. M13–M20LinuxAPIsCloudGitDockerKubernetesTerraformSSH
  4. M21–M27ConcurrencyTestsPackagingProductionSecurityAITroubleshooting
  5. FinishProjectsCapstone platform

Academy path: Linux → Shell Scripting → Python for DevOps → Networking → …

Estimated timeline

Pace Hours / week Calendar
Working professional 6–8 h 8–10 weeks
Weekend learner 8–10 h 6–8 weeks
Full-time learner 25–30 h 3–4 weeks
Block Hours
Tutorials 1–27 (read + labs) 28–36
Standalone labs 14–20
Projects + capstone 16–24
Quizzes + interview 4–6
Total ~55–75

3. Module breakdown

Every module includes: overview (in tutorial), learning objectives, tutorial(s), hands-on lab (tutorial lab + catalog labs), interview questions (in tutorial), and links to course quiz/cheat sheet.

# Module Tutorial Level Time Topics covered
1 Fundamentals Install, venv, and Tooling Beginner 50 min What is Python, install, versions, interpreter, VS Code, PyCharm, venv, pip, uv, Poetry
2 Basics Types and I/O Beginner 50 min Variables, types, operators, strings, numbers, booleans, input/output, conversion
3 Control Flow Conditionals and Loops Beginner 50 min if/elif/else, match, for, while, break, continue, pass
4 Functions Parameters and Scope Beginner 50 min Functions, params, returns, defaults, kwargs, *args, lambda, scope
5 Data Structures Comprehensions and Generators Intermediate 55 min Lists, tuples, dicts, sets, comprehensions, iterators, generators
6 Modules & Packages Modules, Packages, and Dependencies Intermediate 50 min import, stdlib, custom modules, packages, dependency management
7 File Handling pathlib, JSON, YAML, CSV Intermediate 55 min Read/write, CSV, JSON, YAML, XML, pathlib, shutil, temp files
8 Error Handling Exceptions and Defensive Programming Intermediate 50 min Exceptions, try/except/finally, raise, custom exceptions, defensive programming
9 OOP Classes and Dataclasses Intermediate 55 min Classes, objects, methods, constructors, inheritance, encapsulation, polymorphism, dataclasses
10 Logging & Debugging Logging and Debugging Intermediate 50 min logging, levels, structured logs, pdb, tracebacks, debugging techniques
11 Configuration Configuration and Secrets Intermediate 50 min Env vars, dotenv, YAML, JSON, TOML, config files, secret handling
12 CLI Applications argparse, Click, and Typer Intermediate 55 min argparse, Click, Typer, Rich, progress bars, interactive CLIs
13 Linux Automation subprocess and psutil Intermediate 55 min subprocess, os, pathlib, shutil, signal, psutil, processes, permissions
14 REST APIs requests, Auth, and Resilience Intermediate 60 min requests, HTTP methods, auth, OAuth, tokens, pagination, rate limits, errors
15 Cloud Automation AWS, Azure, and GCP Advanced 60 min boto3 (EC2/S3/IAM/Lambda), Azure SDK, Google Cloud SDK
16 Git Automation GitHub and GitLab Intermediate 55 min GitPython, GitHub/GitLab APIs, repos, PRs, webhooks
17 Docker Automation Docker SDK Automation Intermediate 55 min Docker SDK, containers, images, networks, volumes, registry
18 Kubernetes Automation Kubernetes Python Client Advanced 60 min kubernetes client, Pods, Deployments, Services, ConfigMaps, Secrets, Jobs, Namespaces
19 Infrastructure Terraform Automation Advanced 55 min Terraform CLI, cdktf overview, validate, plan, state
20 SSH Automation Paramiko and Fabric Intermediate 55 min Paramiko, Fabric, SCP, SSH keys, remote execution
21 Concurrency Threads, asyncio, and Futures Advanced 55 min Threads, multiprocessing, asyncio, concurrent.futures, queues
22 Testing Testing with pytest Intermediate 55 min unittest, pytest, fixtures, mocking, coverage, integration tests
23 Packaging pyproject.toml and Wheels Intermediate 50 min pyproject.toml, wheels, publishing, versioning, dependencies
24 Production Engineering Production Engineering Patterns Advanced 55 min Retry, backoff, metrics, logging, health checks, performance, profiling, observability
25 Security Security for DevOps Python Advanced 55 min Secrets, encryption, hashing, secure coding, validation, dependency/supply-chain scanning
26 AI for DevOps OpenAI, MCP, and LangChain Advanced 50 min OpenAI SDK, MCP clients, LangChain basics, AI-assisted automation, ops agents
27 Troubleshooting Troubleshooting Python Automation Advanced 55 min Dependencies, venv issues, API failures, memory leaks, performance, production debugging

4. Tutorial roadmap

# Slug Module
1 python-fundamentals-install-venv-and-tooling.md 1
2 python-basics-types-and-io.md 2
3 control-flow-conditionals-and-loops.md 3
4 functions-parameters-and-scope.md 4
5 data-structures-comprehensions-and-generators.md 5
6 modules-packages-and-dependencies.md 6
7 file-handling-pathlib-json-yaml-csv.md 7
8 error-handling-and-exceptions.md 8
9 oop-classes-and-dataclasses.md 9
10 logging-and-debugging.md 10
11 configuration-management-and-secrets.md 11
12 cli-applications-argparse-click-typer.md 12
13 linux-automation-subprocess-and-psutil.md 13
14 rest-apis-requests-auth-and-resilience.md 14
15 cloud-automation-aws-azure-gcp.md 15
16 git-automation-github-and-gitlab.md 16
17 docker-sdk-automation.md 17
18 kubernetes-python-client-automation.md 18
19 infrastructure-automation-terraform.md 19
20 ssh-automation-paramiko-and-fabric.md 20
21 concurrency-threads-asyncio-and-futures.md 21
22 testing-with-pytest.md 22
23 packaging-pyproject-and-wheels.md 23
24 production-engineering-patterns.md 24
25 security-for-devops-python.md 25
26 ai-for-devops-openai-mcp-langchain.md 26
27 troubleshooting-python-automation.md 27

5. Lab roadmap

Lab Module focus Difficulty
Log Analyser M7–10 Beginner
Linux Health Checker M13 Beginner
YAML Validator M7, M11 Beginner
JSON Validator M7 Beginner
GitHub Repository Auditor M16 Intermediate
Docker Cleanup Tool M17 Intermediate
Kubernetes Health Checker M18 Intermediate
Kubernetes Deployment Validator M18 Intermediate
Terraform Wrapper M19 Intermediate
AWS EC2 Inventory M15 Intermediate
Azure Resource Inventory M15 Intermediate
GCP Inventory M15 Intermediate
Certificate Expiry Monitor M14 Intermediate
Slack Notification Bot M14 Intermediate
REST API Monitoring Service M14 Intermediate
Secrets Scanner M25 Intermediate
CI/CD Automation Tool M16, M24 Advanced

Browse all under Labs → Python for DevOps.

6. Quiz roadmap

Quiz Scope Questions Pass Status
Python for DevOps Engineers Fundamentals Whole course (M1–27) 40 70% Ready
Legacy: Python for DevOps Fundamentals Earlier curriculum 40 70% Kept with tip → new quiz

7. Cheat sheet roadmap

Sheet Path Contents
Python for DevOps docs/cheatsheets/python.md Syntax, data structures, files, exceptions, logging, requests, argparse/Click, Docker SDK, K8s client, boto3, pytest

8. Interview roadmap

Guide Path Topics
Python interview prep Fundamentals, OOP, files, REST, automation, K8s, Docker, Terraform, cloud SDKs, production scenarios

Per-tutorial interview banks (5 Q) live inside each tutorial.

9. Project roadmap

Level Project Outcome
Beginner Python Log Analysis Tool CLI + fixtures
Intermediate Infrastructure Inventory CLI Multi-source inventory
Advanced Cloud Operations Automation Toolkit Cloud + ops helpers
Expert Platform Engineering Framework Extensible platform tooling
Capstone Production DevOps Automation Platform See §10

10. Capstone — Production DevOps Automation Platform

Must include:

  1. CLI interface (Typer/Click + console script)
  2. Plugin architecture
  3. Cloud inventory (at least one provider, fixtures OK)
  4. Kubernetes automation (read/report, dry-run)
  5. Terraform automation (fmt/validate/plan summary)
  6. GitHub automation (reporter)
  7. Monitoring + notifications hooks
  8. Configuration management + secrets hygiene
  9. Logging + pytest suite
  10. Packaging (pyproject.toml) + documentation + Excalidraw architecture

Success: Another engineer can clone, sync deps, run tests, and execute dry-run commands in under 15 minutes.

11. Skill matrix

Skill Introduced Practised Mastered Capstone
Syntax / data / functions M1–5 M6–12 M5 ✓
Files / config / secrets M7, M11 M12–20 M11 ✓
CLI tools M12 M13–20 M12 ✓
Linux / subprocess M13 M13–20 M13 ✓
REST / auth M14 M15–16 M14 ✓
Cloud SDKs M15 Labs M15 ✓
Docker / K8s / Terraform M17–19 Labs M18 ✓
Testing / packaging M22–23 M24–27 M22 ✓
Production / security M24–25 Capstone M25 ✓
AI for ops M26 Optional — optional