Google Cloud Platform Architecture, containerization and orchestration technologies, AI model deployment and lifecycle management on cloud platforms, data processing and integration techniques relevant to AI solutions

model development , Machine Learning, Tensorflow, Data Science, Pytorch, Docker, Azure, Python, Kubernetes, LangChain, Generative AI, Model Evaluation, MLflow, Statistics, MLOps Fundamentals, Vector Databases, RAG Architecture, Vertex AI, OpenAI, Responsible AI, Prompt Engineering

Apache Airflow, Github, Terraform, Python, AWS, Ray, MLflow, Kubernetes EKS

Rust, Scipy, Tensorflow, Numpy, Pandas, Pytorch, Neo4j, Opencv, Python, Langchain, scikit-learn, Vector DBs, ArangoDB, Kubeflow, MLFlow, LlamaIndex

AI ML, Sql, Testing Frameworks, Pandas, Microsoft Azure, FastAPI, Asynchronous programming, Python, Pytest, vector search, embeddings, Dremio, Scikit-learn, anomaly detection, RAG, Streamlit, time-series analysis, agent orchestration