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Startup/SME ML Team Training
Note: train your team with affordable cost
Are you creating a new AI/ML team and don’t know where to start? We can help you.
At Featurepreneur, we take care of your burden and solve with our efficient ML Microservices Architecture. This architecture has been tested for 5 years and running without any issue.
Prototyping to Production with sclabale option is really hard. Especiallly when you are in the early stage of your development.
TechStack:
- Microservices
- FastAPI
- Pandas
- LangChain
- Docker compose / K8s
- EvidentlyAI (Nonitoring)
- MongoDB / PostgreSQL
- Flask
- AWS (EC2, Lambda, Route53, SageMaker, ECS, EKS, S3, CloudFormation)
- Azure (VM, ACA, Batch, Store Explorer)
- CoreNLP
- SpaCy
- NLTK
- Streamlit
- Gradio
About us
- We published LogPlus library at PyPI
- We published PrettyMetrics library at PyPI