# Academy

**Master MLOps through hands-on learning paths—earn your certification.**

Valohai Academy takes you from first execution to production-ready pipelines through structured modules, real-world exercises, and knowledge checks.

***

## Why Academy vs. Documentation?

**Use Academy when:**

* You're new to Valohai and want guided, progressive learning
* You need to onboard a team with consistent training
* You want to earn a certification for your LinkedIn profile

**Use Docs when:**

* You need a quick answer or specific how-to guide
* You're looking up syntax, references, or troubleshooting steps
* You want to explore concepts in any order

Think of Academy as your **structured curriculum**, and Docs as your **on-demand reference library**.

***

## Who Should Enroll

### Data Scientists & ML Engineers

Learn to version experiments, orchestrate pipelines, and scale compute—without touching infrastructure.

### Technical Decision Makers

Evaluate platform capabilities through practical workflows. See how Valohai standardizes ML operations across teams.

***

## What You'll Learn

### Core Workflows

* Run versioned experiments with automatic lineage tracking
* Build multi-step pipelines with data dependencies
* Debug executions using logs, metadata, and reproducibility tools

### Production Best Practices

* Structure projects for team collaboration and reproducibility
* Manage datasets across cloud storage providers
* Optimize compute costs with spot instances and autoscaling

### Platform Integration

* Connect Git repositories for code versioning
* Configure Docker environments for custom dependencies
* Integrate cloud storage (S3, Azure Blob, GCS)

***

## How Academy Works

Each module follows a proven learning pattern:

1. **Conceptual foundation** — understand the "why" behind each workflow
2. **Hands-on exercises** — apply concepts in a real Valohai environment
3. **Knowledge checks** — validate understanding before moving forward
4. **Code examples** — see both YAML and Python (`valohai-utils`) approaches

Complete all modules and pass knowledge checks to **earn your Certificate of Completion**—shareable on LinkedIn.

***

## Prerequisites

* Basic Python knowledge
* Familiarity with Git
* Access to a Valohai organization ([start a free trial](https://valohai.com/signup))

No DevOps or YAML experience required. We'll guide you through everything.

***

## Get Started

[**🎓 Enroll in Valohai Academy**](https://learn.valohai.academy)

Already enrolled? [Continue your progress →](https://learn.valohai.academy/login)

***

> 💡 **Tip:** Academy is included with all Valohai plans, including free trials. Some advanced platform features (like private Docker registries) require a paid plan.
