Welcome! This is the code for Python for DevOps + Agentic AI. Here's how to get the most out of it.
It's hybrid — recorded modules you go through at your own pace, plus a live weekend where we build the bigger pieces together.
- Recorded (self-paced): foundations, APIs & JSON, file handling & logs, OOP, CLI tools, and the full AI-agent build. Watch these anytime and do the Practice.
- Live sessions: we live-code AWS automation and the FastAPI service, demo the AI agent, and assemble the capstone — then take your questions. Live recordings are added to the LMS afterward, so nothing is missed.
Check the course platform for your cohort's live dates and joining link.
- Finish
SETUP.mdso your machine is ready. - Watch and try the recorded modules 01–05 and 08.
- Bring questions — the live sessions are the place to get unstuck.
Go in order; each module has a short README with the code and a Practice section.
- 01-python-foundations — variables, control flow, functions, a system health script
- 02-apis-and-json — requests, JSON, collections, file I/O
- 03-file-handling-and-logs — read logs, count levels, write a summary
- 04-object-oriented-python — the same analyzer as a class
- 05-cli-tools-argparse — turn it into a real CLI tool
- 06-aws-automation-boto3 — read AWS with Boto3 (+ CDK intro) — live
- 07-apis-with-fastapi — a DevOps API with FastAPI — live
- 08-ai-agents-for-devops — a local LangGraph + Ollama log agent
Then capstone/ to tie it together, and guides/ for
design thinking, the DevOps mindset, and explaining your work in interviews.
- Don't binge. Watch a module, then do its Practice before moving on.
- Type the code yourself — don't just read it.
- Break things on purpose and fix them. That's the job.
Happy learning — TrainWithShubham.