Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, GloVe, Hugging Face, vector databases, MLflow, Pinecone, LLM architecture, MLOps practices, Word2Vec, RAG pipelines, ChromaDB, fine-tuning techniques, LangChain, APIs from major AI providers, embedding preparation, text processing, LLM training methodologies, Neural Network fundamentals, sentence transformers, cloud computing platforms

data wrangling , Cloud Infrastructure, Containers, Python, vector search systems, LLMs, model training, RAG-based systems, CI CD, document knowledge bases, NLP tasks, traditional ML models, feature extraction, large language models, LlamaIndex

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

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

Cuda, Docker, FastAPI, Azure, Python, AWS, LangChain, Anthropic APIs, vector databases, Pinecone, LLM fine-tuning, FAISS, NVIDIA GPU toolkits

Tensorflow, Numpy, Nlp, Pytorch, Git, Pandas, Machine Learning Frameworks, Ai Development, AI Agents, AI-powered BI Tools, Model Fine-tuning, Vector Databases, semantic search, Automation Platforms, Data Processing Libraries, AI APIs, LangChain, Advanced AI Tools, Prompt Optimization Techniques, Prompt Engineering Tools, Predictive Analytics Platforms, RAG, Conversational AI, Constitutional AI, Vector Embeddings, Prompt Engineering, Few-shot Learning, Chain-of-thought

Databases, Flask, Api, FastAPI, Python, Sql, ML Fundamentals, FAISS, Gradio, Streamlit, ChromaDB

Numpy, Pandas, Python, Data Analysis, Statistical Modeling, Forecasting, decision-support systems, anomaly detection, time-series analysis, machine learning techniques