Amazon Web Services (AWS), Large Language Models (LLMs), Machine learning frameworks and libraries, Developing and deploying AI models in production environments, Python Programming Language, Cloud computing concepts and services

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

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

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

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