Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, GloVe, Hugging Face, vector databases, MLflow, Pinecone, LLM architecture, Word2Vec, RAG pipelines, ChromaDB, fine-tuning techniques, APIs from major AI providers, LangChain, LLM training methodologies, LoRA, QLoRA, sentence transformers

Apis, Microservices, Azure ML, MLops, Docker, Rest Apis, Python, LangChain, Prompt engineering, Agentic AI design patterns, Data leakage protection, LLMOps, Vector databases, LLM security, Azure OpenAI, Semantic Kernel, LangGraph, Azure AI Studio, Neo4j GraphDB

Nlp, FastAPI, AWS, Deep Learning, Machine Learning, Huggingface, Generative AI

Node.js, Django, React, Typescript, Javascript, Docker, FastAPI, Azure, Kubernetes, Python, AWS, AI services

Tensorflow, Nlp, Pytorch, Python, LangChain, APIs from major AI providers, GloVe, Google, Hugging Face, vector databases, Pinecone, LLM training methodologies, LLM architecture, Word2Vec, LoRA, OpenAI, Neural Network fundamentals, RAG pipelines, ChromaDB, fine-tuning techniques, QLoRA, sentence transformers

CDK, Typescript, FastAPI, Python, Terraform, Docker, Flask, OpenAI, LlamaIndex, Google, Azure OpenAI, LangChain, AWS Bedrock, Anthropic

Databricks, Big Data Technologies, Tensorflow, Jira, Agile Methodologies, Pytorch, Terraform, Azure DevOps, Scrum, Machine Learning, Python, Nlp, data visualization tools, machine learning services, scikit-learn, Azure cloud platforms, open-source tools for data processing, Meta, Spark MLlib, cloud-based analytics, Apache MXnet, Kanban, HuggingFace, Generative AI, Document Intelligence, nemo, non-relational datastores

Python, FastAPI, Django, PostgreSQL, MongoDB, LLM integration

Python, Azure, AWS, Docker, Kubernetes, Llm