?100 Days of MLOps Challenge - https://kode.wiki/3OYEZbI
MLOps is growing at ~37% year-over-year. Companies are hiring. But most engineers don't know where to start. This challenge does.
100 real-world tasks. No slides. No lectures. You drop into a live environment every day with a clear objective, use real tools, and automated validation tells you when you've nailed it.
100 Days of MLOps is:
→ 100 hands-on tasks (no lectures, no slides)
→ 12 domains from data versioning to production monitoring
→ 3 skill levels, 1 capstone project
→ Real tools: DVC, MLflow, Evidently, Argo, Kubernetes, FastAPI, BentoML
→ Live environments with automated validation
→ A verified portfolio badge on completion
→ 100% Free (we provision everything)
The challenge covers 12 MLOps domains across 3 skill levels — from structuring your first ML project all the way to canary deployments, drift-triggered retraining, and full observability stacks.
Everything is provisioned for you. No cloud bills. No local setup. Open a browser and build.
? Start Free → https://kode.wiki/3OYEZbI
━━━━━━━━━━━━━━━━━━━━━━
Also check out our other free challenges:
? 100 Days of DevOps → https://kode.wiki/476w7r5
☁️ 100 Days of Cloud → https://kode.wiki/3KXd4GZ
#100DaysOfMLOps #MLOps #MachineLearningEngineering #DevOps #KodeKloud #MLEngineer #DataScience #MLflow #Kubernetes #DVC #ModelDeployment #ProductionML #AIEngineering #100DaysChallenge #FreeMLOpsCourse #LearnMLOps