Gen AI, AI and Machine Learning algorithms, RAG neural networks

Machine Learning, Deep Learning, Python, Transfer Learning, Feature Engineering, reinforcement learning, Model Fine-tuning, Generative Models, Data Applications, Data Processing, Streamlit, Prompt Engineering

Java, Node.js, Gcp, Azure, Python, AWS, LangChain, LLMs, Hugging Face Transformers, vector databases, MLflow, embedding models, Vertex AI, Kubeflow, Transformers, RAG, Diffusion models

Sql, Gcp, Neo4j, Azure, Python, AWS, LangChain, LLMs, Cypher, LangGraph, graph query languages, RAG agents, Amazon Neptune, Knowledge Graphs

data engineering , S3, Kafka, Emr, Data Modeling, Redshift, Sql, Apache Airflow, Kinesis, Spark, Python, AWS Cloud services, DataOps practices, AWS Step Functions, CI CD, SageMaker, pipeline orchestration, Lake Formation, Glue

Scalability, Gcp, Docker, System Design, Azure, Kubernetes, Python, AWS, LangChain, Pinecone, LangGraph, Vector Databases, FAISS, CI CD pipelines, LLM architectures, RAG pipelines, Weaviate

Retrieval-Augmented Generation (RAG), Nlp, Python, Pytorch, Generative AI, Llm, scikit-learn