data pipeline, API design, Tensorflow, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, CI CD for AI, Pinecone, backend systems, Mistral, Distributed microservices, model monitoring, LangChain, LLaMA, LLMs, Anthropic, FAISS, xVector DBs, RAG, drift detection, Milvus, OpenAI, Weaviate

Adf, Agentic AI, algorithms for generative models, generative models, GenAI systems

Ml, Microservices, AWS, Python, Azure, Data Privacy, Gcp, Apis, prompt engineering, LLMs, AI ML frameworks, DevOps workflows, OpenAI ChatGPT, Ai, cloud platforms, security fundamentals, compliance standards, MLOps practices, CI CD pipelines, Anthropic Claude, Generative AI

Sql, AWS, Python, Azure, Gcp, LangGraph, RAG pipelines, LLM-based solutions

scalable architecture , Python, Sql, Machine Learning, System Design, Artificial Intelligence, FastAPI, Nosql, Nlp, RAG pipelines, LLMs, Generative AI, LangGraph

Sql, Python, Machine Learning, Agents, Langchain, LLM techniques, Langgraph, RAG, prompt engineering, Generative AI

Kubernetes, Databricks, MLops, Python, Docker, Apis, REST, Azure ML, Lang Chain, GenAI applications, Monitoring, Lang Graph, observability, Azure AI, real-time workflows, batch inference

structured programming , Github, Numpy, Pandas, AWS, multithreading, Python, LLMs, AWS AI ML services, CI CD, API integrations, LangChain, Agentic AI, Llama Index, Generative AI

Sql, Django, REST, Flask, Swagger, Postgres, Redis, FastAPI, Kubernetes, Python, Azure, Restful Apis, attention tokens, context window, AIML, Core AI, LLM behavior, data processing pipelines, MCP, RAG, automation testing frameworks, operational monitoring, Llm, Transformers, OpenAPI, model evaluation procedures, MCP Model Context Protocol, observability, FastMCP, Docket

Distributed Computing, AWS, Kubernetes, Azure, Gcp, Docker, Api Development, LLMs, MLOps tools, ML architectures, integration and deployment workflows, CI CD pipelines, scalable model deployment