179.8K
JAHere is the MLOps roadmap:
(with resources and courses included)
📌 𝗡𝗼𝘁𝗲:
Red asterisks = Must-have skills
Others = familiarity is enough (especially early on)
▶️ 𝗠𝗟 & 𝗠𝗟𝗢𝗽𝘀 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻*
→ Machine Learning Specialization –
🔗 comment “mlops” for link
→ Designing Machine Learning Systems (Book)
🔗 comment “mlops” for link
→ Model deployment in production
🔗 comment “mlops” for link
▶️ 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (𝗣𝘆𝘁𝗵𝗼𝗻)*
→ Python general → comment “mlops” for link
→ FastAPI / Flask → comment “mlops” for link
→ Git (Version Control) → comment “mlops” for link
→ Unit Testing → comment “mlops” for link
→ Integration Testing → comment “mlops” for link
→ Docker (Must) → comment “mlops” for link
→ CI/CD (only one) → comment “mlops” for link
🔗 GitHub Actions → comment “mlops” for link
🔗 CircleCI → comment “mlops” for link
🔗 Jenkins → comment “mlops” for link
→ Load Testing (Locust) - comment “mlops” for link
→ A/B Testing - 🔗 comment “mlops” for link
▶️ 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮 (𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁)*
Pick one cloud provider. Learn via certification paths.
→ AWS SageMaker (overview) - comment “mlops” for link
→ AWS Learning Path:
1️⃣ AWS Cloud Practitioner (free) → comment “mlops” for link
2️⃣ AWS ML Associate → comment “mlops” for link
3️⃣ AWS ML Specialty → comment “mlops” for link
(Also: GCP Vertex AI, Azure ML)
▶️ 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴
→ MLflow* - 🔗 comment “mlops” for link
→ Grafana + Prometheus - 🔗 comment “mlops” for link
→ DataDog - 🔗 comment “mlops” for link
▶️ 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗦𝗲𝗿𝘃𝗶𝗻𝗴
→ Apache Airflow (good to know) - 🔗 comment “mlops” for link
→ Kubeflow (best with GCP)
→ MetaFlow
→ EC2 / ECS / Kubernetes / Step Functions
(Skip Kubernetes early on if possible)
🚨𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀
→ MLOps Zoomcamp (DataTalksClub)
🔗 comment “mlops” for link
→ MadeWithML by Goku
🔗 comment “mlops” for link
→ Train & Deploy ML (GitHub)
🔗 comment “mlops” for link
→ Taking Python to Production
🔗 comment “mlops” for link
#machinelearning #mlops #datascience #ai #coding
@jam.with.ai
![#Mlops Roadmap Reel by @aakash.a.dev (verified account) - [Read Caption]
MLOps Engineer - The Career Path Nobody Talks About
Machine learning is everywhere, but very few people know how to take a model from](https://image.pictame.com/img/551106938_18378315820180892_322184051215878546_n.jpg?hash=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)
