MOC - MLOps
MOC - MLOps
Map of Content for Machine Learning Operations and LLMOps.
Overview
- 52 MLOps
- 52.23 MLOps - An Overview
- 52.17 Five Levels of MLOps Maturity
- 52.28 What is LLMOps
- 52.30 LLMOps
CI/CD & Infrastructure
- 52.11 AWS CICD Tech Stack
- 52.19 How to Build a CI-CD MLOps Pipeline
- 52.27 Terraform
- 52.29 Learning Kubernetes
- 52.34 Learning GitHub Actions
- 52.35 Docker
Data & Pipeline
- 52.13 DataOps vs DevOps Exploring the Meaning & Differences
- 52.14 Design Patterns in Machine Learning for MLOps
- 52.15 Designing ML Infra for ML & LLM Use Cases
- 52.20 Machine Learning Data Lifecycle in Production
Evaluation & Testing
Courses & Materials
- 52.12 Be Noticed In The MLOps Crowd
- 52.18 Full Stack Deep Learning with Python
- 52.21 ML for Prod
- 52.22 MLFlow
- 52.24 MLOps Bootcamp
- 52.25 MLOps by Databricks
- 52.26 MLOps Materials and Curriculam
- 52.31 Master Practical MLOps for Data Scientists & DevOps on AWS
Observability
- [[52.36 o11y.canvas]]
- 52.39 Traces Metrics and Logs
