programming concepts , cloud, Software Design, generative AI, data, software development principles, Ai

Python, Evaluation metrics for generative models, Fine-tuning techniques, LLM architectures, Model training pipelines

Python, Evaluation metrics for generative models, Fine-tuning techniques, LLM architectures, Model training pipelines

Machine Learning, Data Mining, Sql, Deep Learning, Tensorflow, Nlp, MLops, Pytorch, Gcp, Docker, Azure, Python, AWS, Scikit-learn, Hugging Face, CI CD, Statistical Modeling, Large Language Models

Logistic Regression, k-means, Pyspark, Random Forest, Pca, Sql, Tensorflow, Pytorch, XGBoost, Python, AWS, SHAP, scikit-learn, Feature Engineering, GLM, Pricing Models

Logistic Regression, Deep Learning, XGBoost, Python, Sql, credit bureau data, LightGBM

Hadoop, Pyspark, Sql, Azure ML, MLops, Gcp, Spark, Databricks, Azure, Python, Azure DevOps, AWS, LangChain, GenAI, LLMs, vector databases, LangGraph, agentic workflows, SageMaker, RAG, CI-CD

Ml, MATLAB, Python, Sql, Statistical Analysis, R, Ai

Matplotlib, Github, Cassandra, PostgreSQL, SAS, Sql, Numpy, Jenkins, Git, Pandas, Docker, MySQL, Spss, Gitlab, Seaborn, MongoDB, Python, IBM CPLEX, Plotly, R, Dask, Podman, Gurobi

Sql, Python, LLMs, prompt engineering