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MLOps Roadmap
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Tree
Blocks
MLOps Foundations
1
What MLOps Solves
2
Architecture Basics
3
Teams and Workflow
Data for ML Systems
1
Training Data Basics
2
Data Quality
3
Data Pipelines
4
Feature Management
Experiments and Reproducibility
1
Experiment Design and Optimization
2
Experiment Tracking
3
Tools and Registries
4
Reproduction Problems
ML Platform and Infrastructure
1
Storage Systems
2
Platforms
3
Cloud MLOps Services
Training Pipelines
1
From Notebook to Job
2
Pipeline Design
3
Scaling Training
ML Testing and Training CI
1
Testing ML Pipelines
2
Training CI
Model Evaluation
1
Offline Evaluation
2
Production Readiness
3
Release Decisions
Model Serving
1
Inference Patterns
2
Serving APIs
3
Runtime and Packaging
4
Serving Performance
Deployment and Release Management
1
Model Release Basics
2
Release Strategies
3
Rollback and Recovery
Monitoring and Feedback
1
System Observability
2
Model Monitoring
3
Feedback Loops
Governance and Responsible AI
1
Governance
2
Risk
3
Security
4
Standards and Compliance
LLMOps
1
LLM App Foundations
2
Harness Engineering
3
Context Engineering
4
Tools and Protocols
5
Skills and Workflows
6
Agent Evals
7
Runtime Observability
8
Safety and Governance
9
Cost and Deployment
10
Model Adaptation and Feedback
11
Multimodal and Realtime
MLOps Foundations
1
What MLOps Solves
3
Teams and Workflow
2
Architecture Basics
Data for ML Systems
1
Training Data Basics
3
Data Pipelines
2
Data Quality
4
Feature Management
Experiments and Reproducibility
1
Experiment Design and Optimization
3
Tools and Registries
2
Experiment Tracking
4
Reproduction Problems
ML Platform and Infrastructure
1
Storage Systems
3
Cloud MLOps Services
2
Platforms
Training Pipelines
1
From Notebook to Job
3
Scaling Training
2
Pipeline Design
ML Testing and Training CI
1
Testing ML Pipelines
2
Training CI
Model Evaluation
1
Offline Evaluation
3
Release Decisions
2
Production Readiness
Model Serving
1
Inference Patterns
3
Runtime and Packaging
2
Serving APIs
4
Serving Performance
Deployment and Release Management
1
Model Release Basics
3
Rollback and Recovery
2
Release Strategies
Monitoring and Feedback
1
System Observability
3
Feedback Loops
2
Model Monitoring
Governance and Responsible AI
1
Governance
3
Security
2
Risk
4
Standards and Compliance
LLMOps
1
LLM App Foundations
7
Runtime Observability
2
Harness Engineering
8
Safety and Governance
3
Context Engineering
9
Cost and Deployment
4
Tools and Protocols
10
Model Adaptation and Feedback
5
Skills and Workflows
11
Multimodal and Realtime
6
Agent Evals