3.6 MLOps & Model Lifecycle Management
Ship, monitor, version, and maintain models throughout their production lifecycle.
Curated external courses related to MLOps & Model Lifecycle Management.
Google
Managing ML Projects
IntermediateUnknown
ML lifecycle / project planning / stakeholders
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Databricks
Large Language Models: Application through Production
IntermediateMulti-week course
LLMOps / LangChain / vector databases
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AWS
Machine Learning Learning Plan
BeginnerUnknown
SageMaker / ML lifecycle / AWS
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Full Stack Deep Learning
Full Stack Deep Learning — 2022 Course
Intermediate10 weeks; about 4 hours per week
ML systems / deployment / monitoring
View course →
DeepLearning.AI
Orchestrating Workflows for GenAI Applications
IntermediateUnknown
MLOps & Model Lifecycle Management
View course →DeepLearning.AI
Automated Testing for LLMOps
IntermediateUnknown
MLOps & Model Lifecycle Management
View course →DeepLearning.AI
LLMOps
IntermediateUnknown
MLOps & Model Lifecycle Management
View course →DeepLearning.AI
Machine Learning in Production
IntermediateUnknown
MLOps & Model Lifecycle Management
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NVIDIA
Deploying RAG Pipelines for Production at Scale
4h / $90
NVIDIA certification preparation / Self-paced
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Microsoft
Operationalize machine learning models (MLOps)
Self-paced; duration not stated
Microsoft certification preparation / AI-300 / Microsoft Learn
View course →Microsoft
Operationalize generative AI applications (GenAIOps)
Self-paced; duration not stated
Microsoft certification preparation / AI-300 / Microsoft Learn
View course →Databricks
Machine Learning Professional certification learning path
ProfessionalSelf-paced; duration varies by Academy path
Databricks certification preparation / Machine Learning Professional / Databricks Academy
View course →
HighScore.ai