Master Python for real-world cloud automation. Write scripts that provision AWS infrastructure with boto3, manage Azure resources with the azure-sdk, automate Kubernetes with the Python client, build REST APIs, and use AI coding assistants to 10x your productivity as a cloud engineer.
Hands-on labs writing real Python scripts for AWS, Azure, Kubernetes, and CI/CD automation — tested against live cloud infrastructure.
Every lab uses GitHub Copilot inline suggestions and Claude for generating, explaining, and improving Python scripts — the workflow of modern cloud engineers.
Learn to write Python that runs in production — proper error handling, retry logic, logging, unit tests with pytest, and CI/CD integration from day one.
Build a Python CLI tool that manages AWS resources — lists, starts/stops EC2 instances, manages S3 lifecycle, rotates IAM keys, and generates cost reports — with AI-assisted code generation.
Create a FastAPI-based REST service that provisions and manages resources across AWS and Azure from a single API — with webhook integrations for Slack and PagerDuty notifications.
Write a custom Kubernetes operator in Python that watches a custom resource, provisions cloud resources in response, and reports status — generated with GitHub Copilot assistance.
Build an AI system that analyses AWS cost data, identifies waste with Claude, generates Python remediation scripts, and executes them automatically with human approval gates.
Upon completing all labs and the capstone project, you receive a verified certificate in Python for Cloud Automation — covering AWS boto3, Azure SDK, Kubernetes client, REST APIs, and AI-assisted development. Directly shareable on LinkedIn.
Write Python scripts and tools that automate cloud operations across AWS, Azure, and GCP at scale.
Integrate Python automation into CI/CD pipelines, infrastructure provisioning, and monitoring workflows.
Build AI-assisted automation systems that use LLMs to generate and execute cloud operations scripts.
Write Python tooling for incident automation, capacity planning, runbook execution, and SLA monitoring.
Build Python-based internal developer platforms with REST APIs, Kubernetes operators, and self-service tooling.
Develop customer-facing automation solutions using Python SDKs for major cloud providers.
"I used to do everything in the AWS console. Now I write boto3 scripts for everything. The AI-assisted development module made me 3x faster — I generate the skeleton with Copilot and refine it."
"The Kubernetes Python client section is gold. I wrote a custom operator for our team's deployments and it saved 10+ hours of manual work every week."
"The FastAPI + webhook integration module is exactly the kind of glue code cloud engineers need but can never find in tutorials. Implemented Slack alerting for our AWS cost budget in one afternoon."
