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.
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.
Learn to version experiments, orchestrate pipelines, and scale compute—without touching infrastructure.
Evaluate platform capabilities through practical workflows. See how Valohai standardizes ML operations across teams.
Run versioned experiments with automatic lineage tracking
Build multi-step pipelines with data dependencies
Debug executions using logs, metadata, and reproducibility tools
Structure projects for team collaboration and reproducibility
Manage datasets across cloud storage providers
Optimize compute costs with spot instances and autoscaling
Connect Git repositories for code versioning
Configure Docker environments for custom dependencies
Integrate cloud storage (S3, Azure Blob, GCS)
Each module follows a proven learning pattern:
Conceptual foundation — understand the "why" behind each workflow
Hands-on exercises — apply concepts in a real Valohai environment
Knowledge checks — validate understanding before moving forward
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.
Basic Python knowledge
Familiarity with Git
Access to a Valohai organization (start a free trial)
No DevOps or YAML experience required. We'll guide you through everything.
Already enrolled? Continue your progress →
💡 Tip: Academy is included with all Valohai plans, including free trials. Some advanced platform features (like private Docker registries) require a paid plan.
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