1) Design and develop Python-based APIs and microservices using frameworks like FastAPI or Flask.
2) Integrate with MongoDB for application data storage and implement optimized queries using PyMongo or Motor or LAMBDA.
3) Implement Redis caching for performance rate-limiting and session management.
4) understand basics of AWS cloud practitioner and intro to lambda and step functions
5) Understand AWS bed rock and have a strong command on using LLMS capabilities -summarization embeddings and recommendations into backend services.
6) Build data ingestion pipelines for structured and unstructured data using Python.
Expose ML outputs through RESTful or GraphQL APIs via API Gateway.
1) Design and develop Python-based APIs and microservices using frameworks like FastAPI or Flask. 2) Integrate with MongoDB for application data storage and implement optimized queries using PyMongo or Motor or LAMBDA. 3) Implement Redis caching for performance rate-limiting and session management. ...
1) Design and develop Python-based APIs and microservices using frameworks like FastAPI or Flask.
2) Integrate with MongoDB for application data storage and implement optimized queries using PyMongo or Motor or LAMBDA.
3) Implement Redis caching for performance rate-limiting and session management.
4) understand basics of AWS cloud practitioner and intro to lambda and step functions
5) Understand AWS bed rock and have a strong command on using LLMS capabilities -summarization embeddings and recommendations into backend services.
6) Build data ingestion pipelines for structured and unstructured data using Python.
Expose ML outputs through RESTful or GraphQL APIs via API Gateway.
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