probability , Deep Learning, Testing Frameworks, AI evaluation methodologies, ML algorithms, fine-tuning model adaptation, deploying ML models as APIs, production-quality AI code, vector databases, LLM customization, prompt engineering, AI model monitoring, RAG techniques, AI pipelines, drift detection, LLM architectures, linear algebra, Governance, cloud-native AI architectures

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

Data Science, Machine Learning, Statistical Modeling, Natural language processing techniques, Data processing frameworks and tools, Cloud-based AI services, Python Programming Language, Data visualization techniques

Nosql, Tensorflow, Shell, Pytorch, Cicd, Python, AWS, Natural Language Processing, PowerShell, Sql, Django, Git, REST, Gcp, FastAPI, Keras, Azure, Azure Devops, Github Actions, Chat GPT, LangGraph, LangChain, AI Observability, AI Guardrails, Open AI, Vector Database, RAG, DsPy, Responsible AI, LlamaIndex, Prompt Engineering