A Practical, Task-driven Approach to Modern DevOps with Python & Azure
This bootcamp is built on a foundation of practical tasks that gradually increase in complexity. Instead of traditional lectures, students learn by doing - tackling real-world challenges, searching for solutions, and implementing them in a supportive environment.
38 carefully crafted tasks guide learners through the entire Software Development Lifecycle, building skills progressively through hands-on experience.
Explore Our MethodologyBuild powerful applications using Python, from command-line tools to web services and APIs that interact with Azure services.
Learn to provision and manage infrastructure on Microsoft Azure, including VMs, App Service, AKS, Azure Functions, and database services.
Master Docker and Azure Kubernetes Service (AKS) to build, deploy, and scale containerized Python applications in the cloud.
Build robust automation pipelines using Azure DevOps or GitHub Actions, incorporating testing, linting, and infrastructure validation.
Implement comprehensive monitoring with Azure Monitor, Application Insights, and Log Analytics. Learn how to set up dashboards and alerts.
Define and provision Azure resources using Terraform and Azure Resource Manager templates. Automate environment setup and configuration.
We've developed a unique task-based methodology that emphasizes learning through practical application rather than lectures or theory-heavy content.
We post a new task in the group channel. Each task is carefully designed to build upon previous skills while introducing new concepts. Tasks include clear objectives and minimal guidance, encouraging students to research and find solutions independently.
Students work on the task independently, researching solutions and implementing them. We intentionally avoid providing extensive materials, simulating real-world scenarios where engineers must find and evaluate solutions through online resources.
When a student completes a task, they submit their solution in their personal channel with: (1) Screenshots demonstrating the working solution, and (2) A link to their GitHub/GitLab Pull Request showing the implementation.
As soon as any student completes a task successfully, we release the next task to the entire group (maximum one new task per day). This creates a natural progression while allowing students to work at different paces.
When students have questions, we add clarifications to the original task description. This means that as more people ask questions, tasks naturally become more approachable over time, ensuring everyone can complete them.
We conduct a 1-1.5 hour Q&A session weekly where students can ask broader questions, get detailed explanations, and dive deeper into concepts that require further clarification.
Our curriculum follows a carefully designed progression that builds your skills from fundamentals to complex DevOps implementations.
Begin with Python command-line applications, web servers, and API development. Learn to package applications in Docker containers.
Set up Linux VMs, deploy Python applications as systemd services, and implement Docker container deployments.
Create CI/CD pipelines with Azure DevOps or GitHub Actions. Automate deployments and implement secrets management.
Provision Azure VMs with Terraform, implement load balancing, and deploy applications to Azure App Service.
Build REST APIs, CLI tools, and web interfaces that interact with your backend services and Azure resources.
Deploy applications to Azure Kubernetes Service (AKS), create Helm charts, and implement container-based CI/CD.
Integrate Azure SQL Database or Cosmos DB, implement Redis caching, and create health check endpoints.
Build a complete cloud infrastructure on Azure with AKS, databases, monitoring, and automated deployments - all defined as code.
Students develop robust problem-solving skills by tackling real challenges rather than theoretical scenarios.
Students learn how to effectively search for solutions, evaluate options, and implement best practices - just like in a real work environment.
Tasks gradually increase in complexity, ensuring students build confidence while continuously expanding their skills.
The group benefits from collective questions and solutions, creating a supportive environment where everyone succeeds.
This practical, task-based approach to learning Python & Azure DevOps skills provides a unique and effective experience for our internal teams.
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