Large Language Models (LLMs), Generative AI, Cloud AI services, Prompt Engineering

Keras, Sql, Decision Trees, Tensorflow, Pytorch, Python, Arima, Hypothesis Testing, Statistical Analysis, Z-Test, CNTK, Great Expectations, T-Test, Regression, probabilistic graph models, MXNet, support vector machines, exponential smoothing, ARIMAX, Sci-Kit Learn, KubeFlow, BentoML, Evidently AI

Python, Deep Learning, Microservices, Machine Learning, LLMs, Agentic AI frameworks, Vector Databases, Model evaluation techniques, AutoGen, CrewAI, RAG architectures, Generative AI, LangGraph, Prompt engineering

Sql, Python, time-series forecasting, Generative AI tooling, R, tree-based models, classical ML modeling, observability monitoring tools

Retrieval-Augmented Generation (RAG), MLops, Docker, Python, AWS, LangChain, GenAI, Generative AI, AWS Bedrock, Prompt engineering, Model monitoring, SageMaker, Vector Databases, OpenAI APIs, Containerized deployments, LLM evaluation