Tensorflow, Pytorch, Azure, Python, AWS, LangChain, multi-agent systems, Generative AI, RAG architecture, LLMs, Hugging Face, cloud platforms, vector databases, machine learning libraries, LangGraph, Agentic AI, OpenAI APIs

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Git, FastAPI, Rest Apis, Python, Sql, LangChain, LangGraph, machine learning fundamentals

tokenization , vectorization , Testing, Python, AWS, Generative AI, RAG embeddings, troubleshooting AI response issues, vector databases, Snowflake data lakes, LLM applications, retrieval strategies, Optimization, prompt design, context windows

RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), Debugging, Python, Apis, Testing, Rest Services, Git, embeddings, AI ML fundamentals, vector databases, Pinecone, CI CD, model evaluation, Chroma, chunking, retrieval, Azure AI Search, Deployment, semantic search, LangChain, data preprocessing, Generative AI, prompt engineering, FAISS, reranking, LlamaIndex

FastAPI, Python, Kubernetes, Docker, AWS EKS, Strands, LangChain, ADK, LangGraph

unstructured data , Tensorflow, Microservices, Pytorch, Docker, Python, AWS, Apis, Gcp, Data Governance, Kubernetes, Content Filtering, scikit-learn, cloud GenAI platforms, vector databases, structured data, Security, model evaluation, retrieval pipelines, observability, Hugging Face ecosystem, LLMs, performance profiling, ML AI libraries, inference cost optimization, Azure AI Services, Garak, moderation systems, RAG, feature engineering, privacy best practices

Tensorflow, Django, Pytorch, Flask, Keras, Django Rest Framework, FastAPI, Python, AWS Bedrock, OpenAI, GANs, LlamaIndex, scikit-learn, Google Vertex Gen AI, Hugging Face, Azure OpenAI, cloud-based AI platforms, RAG Retrieval-Augmented Generation, Milvus, Transformers, Langchain, AWS AI services, Spacy, FAISS, Google Vertex AI

snowflake , Apis, Python, data pipelines, agentic AI frameworks, LLM orchestration frameworks, RAG systems, AWS cloud services, observability and logging tools, microservices-based architectures, prompt engineering

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